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Erschienen in: Reproductive Biology and Endocrinology 1/2021

Open Access 01.12.2021 | Research

Identification of key pathways and genes in polycystic ovary syndrome via integrated bioinformatics analysis and prediction of small therapeutic molecules

verfasst von: Praveenkumar Devarbhavi, Lata Telang, Basavaraj Vastrad, Anandkumar Tengli, Chanabasayya Vastrad, Iranna Kotturshetti

Erschienen in: Reproductive Biology and Endocrinology | Ausgabe 1/2021

Abstract

To enhance understanding of polycystic ovary syndrome (PCOS) at the molecular level; this investigation intends to examine the genes and pathways associated with PCOS by using an integrated bioinformatics analysis. Based on the expression profiling by high throughput sequencing data GSE84958 derived from the Gene Expression Omnibus (GEO) database, the differentially expressed genes (DEGs) between PCOS samples and normal controls were identified. We performed a functional enrichment analysis. A protein-protein interaction (PPI) network, miRNA- target genes and TF - target gene networks, were constructed and visualized, with which the hub gene nodes were identified. Validation of hub genes was performed by using receiver operating characteristic (ROC) and RT-PCR. Small drug molecules were predicted by using molecular docking. A total of 739 DEGs were identified, of which 360 genes were up regulated and 379 genes were down regulated. GO enrichment analysis revealed that up regulated genes were mainly involved in peptide metabolic process, organelle envelope and RNA binding and the down regulated genes were significantly enriched in plasma membrane bounded cell projection organization, neuron projection and DNA-binding transcription factor activity, RNA polymerase II-specific. REACTOME pathway enrichment analysis revealed that the up regulated genes were mainly enriched in translation and respiratory electron transport and the down regulated genes were mainly enriched in generic transcription pathway and transmembrane transport of small molecules. The top 10 hub genes (SAA1, ADCY6, POLR2K, RPS15, RPS15A, CTNND1, ESR1, NEDD4L, KNTC1 and NGFR) were identified from PPI network, miRNA - target gene network and TF - target gene network. The modules analysis showed that genes in modules were mainly associated with the transport of respiratory electrons and signaling NGF, respectively. We find a series of crucial genes along with the pathways that were most closely related with PCOS initiation and advancement. Our investigations provide a more detailed molecular mechanism for the progression of PCOS, detail information on the potential biomarkers and therapeutic targets.
Hinweise

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Introduction

Polycystic ovary syndrome (PCOS) is one of the most prevalent endocrine disorder around the world, with an estimated about one in 15 women worldwide [1]. PCOS exposes patients to a major psychosocial burden and is characterized by hyperandrogenism and chronic anovulation [2]. Diabetes, heart disease, obesity, non-alcoholic fatty liver disease and hypertension are the risk factors associated with PCOS [37]. Therefore, it is of prime importance to identify the etiological factors, molecular mechanisms, and pathways to discover novel diagnostic markers, prognostic markers and therapeutic targets for PCOS.
Numerous research strategies have recently investigated the molecular mechanisms of PCOS. High-throughput RNA sequencing technology has received extensive attention among these research strategies and has generated significant advances in the field of endocrine disorder with marked clinical applications ranging from molecular diagnosis to molecular classification, patient stratification to prognosis prediction, and discovery of new drug targets to response prediction [8]. In addition, gene expression profiling investigation on PCOS have been performed using high-throughput RNA sequencing, and several key genes and diagnostic biomarkers have been diagnosed for this syndrome, including the profiling of many of differentially expressed genes (DEGs) associated in different pathways, biological processes, or molecular functions [9]. Integrated bioinformatics analyses of expression profiling by high throughput sequencing data derived from different investigation of PCOS could help identify the novel diagnostic markers, prognostic markers and further demonstrate their related functions and potential therapeutic targets in PCOS.
Therefore, in the current investigation, the dataset (GSE84958) was then retrieved from the publicly available Gene Expression Omnibus database (GEO, http://​www.​ncbi.​nlm.​nih.​gov/​geo/​) [10] to identify DEGs and the associated biological processes PCOS using comprehensive bioinformatics analyses. The DEGs were subjected to functional enrichment and pathway analyses; moreover, a protein-protein interaction (PPI) network, miRNAs - target gene regulatory network and TFs - target gene regulatory network were constructed to screen for key genes, miRNA and TFs. The aim of this investigation was to identify key genes and pathways in PCOS using bioinformatics analysis, and then to explore the molecular mechanisms of PCOS and categorize new potential diagnostic therapeutic biomarkers of PCOS. We anticipated that these investigations will provide further understanding of PCOS pathogenesis and advancement at the molecular level.

Materials and Methods

RNA sequencing data

Expression profiling by high throughput sequencing dataset GSE84958 was downloaded from NCBI-GEO, a public database of next-generation sequencing, to filter the DEGs between PCOS and normal control. The expression profiling by high throughput sequencing GSE84958 was based on GPL16791 platforms (Illumina HiSeq 2500 (Homo sapiens)) and consisted of 30 PCOS samples and 23 normal control.

Identification of DEGs

The limma [11] in R bioconductor package was used to analyze the DEGs between PCOS samples and normal control samples in the expression profiling by high throughput sequencing data of GSE84958. The adjusted P-value and [logFC] were calculated. The Benjamini & Hochberg false discovery rate method was used as a correction factor for the adjusted P-value in limma [12]. The statistically significant DEGs were identified according to P<0.05, and [logFC] > 2.5 for up regulated genes and [logFC] < -1.5 for down regulated genes. All results of DEGs were downloaded in text format, hierarchical clustering analysis being conducted.

GO and pathway enrichment of DEGs in PCOS

To reflect gene functions, GO (http://​geneontology.​org/​) [13] has been used in three terms: biological processes (BP), cellular component (CC) and molecular function (MF). ToppGene (ToppFun) (https://​toppgene.​cchmc.​org/​enrichment.​jsp) [14] is an online database offering a comprehensive collection of resources for functional annotation to recognize the biological significance behind a broad list of genes. The functional enrichment analyses of DEGs, including GO analysis and REACTOME (https://​reactome.​org/​) [15] pathway enrichment analysis, were performed using ToppGene in the present study, using the cut-off criterion P-value<0.05 and gene enrichment count>2.

PPI networks construction and module analysis

The Search Tool for the Retrieval of Interacting Genes/Proteins (STRING: http://​string-db.​org/​) is online biological database and website designed to evaluate PPI information [16] Proteins associated with DEGs were selected based on information in the STRING database (PPI score >0.7), and then PPI networks were constructed using Cytoscape software (http://​cytoscape.​org/​) [17]. In this investigation, node degree [18], betweenness centrality [19], stress centrality [20] and closeness centrality [21], these constitutes a fundamental parameters in network theory, were adopted to calculate the nodes in a network. The topological properties of hub genes were calculated using Cytoscape plugin Network Analyzer. The PEWCC1 (http://​apps.​cytoscape.​org/​apps/​PEWCC1) [22], a plugin for Cytoscape, was used to screen the modules of the PPI network. The criteria were set as follows: degree cutoff=2, node score cutoff=0.2, k-core=2 and maximum depth=100. Moreover, the GO and pathway enrichment analysis were performed for DEGs in these modules.

Construction of miRNA - target regulatory network

Furthermore, the target genes of the significant target genes were predicted by using miRNet database (https://​www.​mirnet.​ca/​) [23], when the miRNAs shared a common target gene. Finally, the miRNA - target genes regulatory network depicted interactions between miRNAs and their potential targets in PCOS were visualized by using Cytoscape.

Construction of TF - target regulatory network

Furthermore, the target genes of the significant target genes were predicted by using TF database (https://​www.​mirnet.​ca/​) [23], when the TFs shared common target genes. Finally, the TF- target genes regulatory network depicted interactions between TFs and their potential targets in PCOS were visualized by using Cytoscape.

Receiver operating characteristic (ROC) curve analysis

The ROC curve was used to evaluate classifiers in bioinformatics applications. To further assess the predictive accuracy of the hub genes, ROC analysis was performed to discriminate PCOS from normal control. ROC curves for hub genes were generated using pROC in R [24] based on the obtained hub genes and their expression profiling by high throughput sequencing data. The area under the ROC curve (AUC) was determined and used to compare the diagnostic value of hub genes.

Validation of the expression levels of candidate genes by RT-PCR

Total RNA was extracted from PCOS (UWB1.289 (ATCC® CRL-2945™)) and normal ovarian cell line (MES-OV (ATCC® CRL-3272™)) using TRI Reagent® (Sigma, USA). The Reverse transcription cDNA kit (Thermo Fisher Scientific, Waltham, MA, USA) and 7 Flex real-time PCR system (Thermo Fisher Scientific, Waltham, MA, USA) were used for reverse transcription and real-time quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) assay. Polymerase chain reaction primer sequences are listed in Table 1. β-actin was used as an internal control for quantification. The relative expression levels of target transcripts were calculated using the 2-∆∆Ct method [25]. The thermocycling conditions used for RT-PCR were as follows: initial denaturation at 95°C for 15 min, followed by 40 cycles at 95°C for 10 sec, 60°C for 20 sec and 72°C for 20 sec.
Table 1
Primers used for quantitative PCR
Primer sequence (5'→3')
Gene
Forward
Reverse
SAA1
TCGTTCCTTGGCGAGGCTTTTG
AGGTCCCCTTTTGGCAGCATCA
ADCY6
CTCCTGGTCCCTAAAGTGGAT
GGAGGCAGCTCATATAGCGG
POLR2K
GGAGAGTGTCACACAGAAAATGA
TCGAGCATCAAAAACGACCAAT
RPS15
CCCGAGATGATCGGCCACTA
CCATGCTTTACGGGCTTGTAG
RPS15A
CTCCAAAGTCATCGTCCGGTT
TGAGTTGCACGTCAAATCTGG
CTNND1
GTGACAACACGGACAGTACAG
TTCTTGCGGAAATCACGACCC
ESR1
CCCACTCAACAGCGTGTCTC
CGTCGATTATCTGAATTTGGCCT
NEDD4L
GACATGGAGCATGGATGGGAA
GTTCGGCCTAAATTGTCCACT
KNTC1
ACCTGAGTGTCGGTTCAAGAA
CACTGATTGGTCGGCTACAATAA
NGFR
CCTACGGCTACTACCAGGATG
CACACGGTGTTCTGCTTGT

Molecular docking studies

Surflex-docking studies of the standard drug molecule used in polycystic ovary syndrome were used on over expressed genes and were collected from PDB data bank using perpetual SYBYL-X 2.0 software. Using ChemDraw Software, all the drug molecules were illustrated, imported and saved in sdf. templet using open babel free software. The protein structures of POLR2K (), RPS15, RPS15 alpha and SAA1 of their co-crystallised protein of PDB code 1LE9, 3OW2, 1G1X and 4IP8 respectively were extracted from Protein Data Bank [2628]. Gasteiger Huckel (GH) charges were applied along with the TRIPOS force field to all the drug molecules and is standard for the structure optimization process. In addition, energy minimization was achieved using MMFF94s and MMFF94 algorithm methods. The protein preparation was carried out after incorporation of protein. The co-crystallized ligand was extracted from the crystal structure and all water molecules; more hydrogen was added and the side chain was set. For energy minimisation, the TRIPOS force field was used. The interaction efficiency of the compounds with the receptor was represented in kcal / mol units by the Surflex-Dock score. The interaction between the protein and the ligand, the best pose was incorporated into the molecular area. The visualization of ligand interaction with receptor is done by using discovery studio visualizer.

Results

Identification of DEGs

Expression profiling by high throughput sequencing dataset was obtained from the National Center for Biotechnology Information GEO database containing PCOS samples and normal control samples: GSE84958. Then, the R package named “limma” was processed for analysis with adjusted P < 0.05, and [logFC] > 2.5 for up regulated genes and [logFC] < -1.5 for down regulated genes. All DEGs were displayed in volcano maps (Fig. 1). A total of 739 DEGs including 360 up regulated and 379 down regulated genes (Table 2) were identified in PCOS samples compared to normal control samples. The results are shown in the heatmap (Fig. 2).
Table 2
The statistical metrics for key differentially expressed genes (DEGs)
Gene Symbol
logFC
p Value
adj. P.Val
t value
Regulation
Gene Name
SAA2
4.381364
3.5E-07
0.00095
5.718643
Up
serum amyloid A2
PLOD2
4.201209
5.64E-07
0.001025
5.593469
Up
procollagen-lysine,2-oxoglutarate 5-dioxygenase 2
ABI3BP
4.13442
2.07E-07
0.000779
5.856015
Up
ABI family member 3 binding protein
RPPH1
4.09338
7.43E-06
0.002243
4.901502
Up
ribonuclease P RNA component H1
C7orf50
4.074966
4.01E-07
0.00095
5.683289
Up
chromosome 7 open reading frame 50
RMRP
3.989952
7.74E-06
0.002243
4.890252
Up
RNA component of mitochondrial RNA processing endoribonuclease
BNIP3
3.899781
2.99E-07
0.00095
5.760151
Up
BCL2 interacting protein 3
POLE4
3.874065
6.35E-07
0.001025
5.562056
Up
DNA polymerase epsilon 4, accessory subunit
RHBDD2
3.854997
4.02E-06
0.001884
5.068914
Up
rhomboid domain containing 2
F13A1
3.806046
1.82E-06
0.001545
5.283097
Up
coagulation factor XIII A chain
SIVA1
3.784719
7.02E-07
0.001025
5.535746
Up
SIVA1 apoptosis inducing factor
TMEM54
3.721
1.5E-09
1.98E-05
7.116347
Up
transmembrane protein 54
SBDS
3.630263
1.28E-05
0.002885
4.75139
Up
SBDS ribosome maturation factor
CERS2
3.600241
1.32E-06
0.001336
5.368773
Up
ceramide synthase 2
PLA2G2A
3.575964
6.92E-07
0.001025
5.539611
Up
phospholipase A2 group IIA
SAA1
3.551756
0.000565
0.017754
3.640098
Up
serum amyloid A1
PHB2
3.526406
1.39E-05
0.003049
4.728928
Up
prohibitin 2
LSM14A
3.514098
2.94E-06
0.001776
5.153832
Up
LSM14A mRNA processing body assembly factor
MRPL20
3.513535
4.93E-05
0.005042
4.370518
Up
mitochondrial ribosomal protein L20
NEDD8
3.493441
7.9E-06
0.002265
4.884608
Up
NEDD8 ubiquitin like modifier
LRRC59
3.487927
5.07E-08
0.000334
6.219575
Up
leucine rich repeat containing 59
NAA38
3.483141
0.000119
0.008042
4.113375
Up
N (alpha)-acetyltransferase 38, NatC auxiliary subunit
R3HDM4
3.472879
0.000181
0.009987
3.989599
Up
R3H domain containing 4
PI4KB
3.463829
2.36E-05
0.003497
4.579687
Up
phosphatidylinositol 4-kinase beta
RPS27L
3.462436
6.2E-05
0.005556
4.304481
Up
ribosomal protein S27 like
UBL5
3.458582
4.83E-05
0.005015
4.376605
Up
ubiquitin like 5
S100A1
3.431536
0.000323
0.013388
3.813673
Up
S100 calcium binding protein A1
TEAD3
3.414631
1.1E-08
9.64E-05
6.611182
Up
TEA domain transcription factor 3
PRELID1
3.395554
1.51E-05
0.003137
4.706077
Up
PRELI domain containing 1
SNCG
3.381526
0.001426
0.0285
3.342577
Up
synuclein gamma
NDUFAF3
3.380114
3.84E-05
0.00453
4.442043
Up
NADH:ubiquinoneoxidoreductase complex assembly factor 3
LOC101926960
3.379084
8.99E-05
0.006783
4.196554
Up
uncharacterized LOC101926960
MRAP
3.376232
0.000186
0.010117
3.981504
Up
melanocortin 2 receptor accessory protein
EIF1AX
3.363678
3.15E-05
0.004025
4.498903
Up
eukaryotic translation initiation factor 1A X-linked
FIS1
3.36153
0.000316
0.01319
3.819875
Up
fission, mitochondrial 1
LSM4
3.342924
2.22E-06
0.001669
5.229869
Up
LSM4 homolog, U6 small nuclear RNA and mRNA degradation associated
MRPL24
3.341155
8.03E-05
0.006322
4.229412
Up
mitochondrial ribosomal protein L24
ZNF32
3.328313
2.03E-06
0.001623
5.253128
Up
zinc finger protein 32
SAP18
3.320223
3.41E-05
0.004196
4.47629
Up
Sin3A associated protein 18
ZFAND6
3.310728
6.93E-05
0.005946
4.272145
Up
zinc finger AN1-type containing 6
PLCG2
3.309309
2.45E-05
0.003542
4.570246
Up
phospholipase C gamma 2
COA4
3.297112
1.12E-06
0.001179
5.412446
Up
cytochrome c oxidase assembly factor 4 homolog
GTF3A
3.27873
0.000407
0.015016
3.742231
Up
general transcription factor IIIA
SMIM19
3.278578
1.23E-05
0.002829
4.763305
Up
small integral membrane protein 19
DYNLL2
3.274028
1.21E-05
0.002818
4.76751
Up
dynein light chain LC8-type 2
WSB2
3.272902
0.000138
0.008726
4.070129
Up
WD repeat and SOCS box containing 2
MMAB
3.272634
2.33E-05
0.003497
4.583501
Up
metabolism of cobalamin associated B
COX5B
3.250497
8.68E-05
0.006676
4.206576
Up
cytochrome c oxidase subunit 5B
ZNF706
3.247455
1.57E-05
0.003137
4.695098
Up
zinc finger protein 706
SUMO3
3.244703
1.07E-05
0.002689
4.799887
Up
small ubiquitin like modifier 3
ZHX1
3.244233
2.98E-05
0.003952
4.514129
Up
zinc fingers and homeoboxes 1
DCAF6
3.218358
7.16E-05
0.005962
4.263031
Up
DDB1 and CUL4 associated factor 6
NDUFA2
3.202606
0.00011
0.007611
4.136503
Up
NADH:ubiquinoneoxidoreductase subunit A2
COMT
3.194553
7.49E-06
0.002243
4.899155
Up
catechol-O-methyltransferase
USP24
3.193685
7.7E-06
0.002243
4.891689
Up
ubiquitin specific peptidase 24
CLEC3B
3.192924
0.000932
0.023147
3.480824
Up
C-type lectin domain family 3 member B
S100A16
3.181908
2.08E-05
0.00341
4.615343
Up
S100 calcium binding protein A16
PIH1D1
3.168542
3.25E-06
0.001776
5.126645
Up
PIH1 domain containing 1
PEX2
3.15767
6.91E-05
0.005946
4.273176
Up
peroxisomal biogenesis factor 2
BCCIP
3.156384
5.08E-06
0.002061
5.005401
Up
BRCA2 and CDKN1A interacting protein
UCHL1
3.144433
0.000603
0.018411
3.61943
Up
ubiquitin C-terminal hydrolase L1
CCND2
3.137527
0.000795
0.021152
3.531905
Up
cyclin D2
MTDH
3.134009
8.58E-05
0.006622
4.210031
Up
metadherin
ATP6V1D
3.1239
0.0001
0.007145
4.164159
Up
ATPase H+ transporting V1 subunit D
BOD1
3.11664
6.28E-06
0.002168
4.947675
Up
biorientation of chromosomes in cell division 1
MRPL12
3.114756
7.59E-05
0.006143
4.245866
Up
mitochondrial ribosomal protein L12
FOXN3
3.113552
0.000114
0.007817
4.126313
Up
forkhead box N3
POLR3GL
3.098647
0.000131
0.008485
4.084894
Up
RNA polymerase III subunit G like
ALKBH7
3.098442
0.000306
0.012934
3.830063
Up
alkB homolog 7
CDV3
3.096327
0.000108
0.007553
4.141317
Up
CDV3 homolog
ZSCAN16-AS1
3.095847
7.34E-07
0.001025
5.523754
Up
ZSCAN16 antisense RNA 1
S100A13
3.091633
5.32E-05
0.005263
4.348914
Up
S100 calcium binding protein A13
GFPT1
3.085405
5.33E-05
0.005263
4.348282
Up
glutamine--fructose-6-phosphate transaminase 1
CCSER2
3.079066
3.98E-05
0.004552
4.431771
Up
coiled-coil serine rich protein 2
PET100
3.05957
0.000152
0.009259
4.041067
Up
PET100 cytochrome c oxidase chaperone
POLR2J
3.05183
0.000358
0.014077
3.781554
Up
RNA polymerase II subunit J
SF3B6
3.047526
0.000179
0.009929
3.992753
Up
splicing factor 3b subunit 6
TSPAN17
3.044512
7.59E-06
0.002243
4.895829
Up
tetraspanin 17
ECSIT
3.043372
1.61E-05
0.003137
4.688241
Up
ECSIT signaling integrator
TMED4
3.041199
2.05E-05
0.00341
4.620554
Up
transmembrane p24 trafficking protein 4
ROMO1
3.039801
0.000339
0.013645
3.798806
Up
reactive oxygen species modulator 1
SCARNA2
3.037947
0.000602
0.018408
3.619837
Up
small Cajal body-specific RNA 2
RDX
3.036218
1.11E-05
0.002709
4.790401
Up
radixin
ATP6AP2
3.032219
0.000537
0.01724
3.656205
Up
ATPase H+ transporting accessory protein 2
MRPS6
3.031793
0.001246
0.026775
3.386766
Up
mitochondrial ribosomal protein S6
MAD2L1BP
3.030044
1.83E-05
0.003308
4.651088
Up
MAD2L1 binding protein
NNAT
3.01612
0.001284
0.027046
3.376953
Up
neuronatin
SNX8
3.011952
2.11E-05
0.00341
4.611584
Up
sorting nexin 8
ITGAV
3.006812
0.000168
0.009643
4.011701
Up
integrin subunit alpha V
TBCA
3.005083
8.86E-05
0.006772
4.200708
Up
tubulin folding cofactor A
SNAPIN
3.00314
6.24E-05
0.005556
4.30272
Up
SNAP associated protein
TIMM8B
2.999367
0.000105
0.007409
4.149862
Up
translocase of inner mitochondrial membrane 8 homolog B
TADA3
2.994876
4.72E-05
0.005
4.38301
Up
transcriptional adaptor 3
HLA-DPB1
2.992346
0.000391
0.014705
3.754948
Up
major histocompatibility complex, class II, DP beta 1
MGP
2.989607
0.000677
0.019612
3.583067
Up
matrix Gla protein
LAMTOR4
2.985466
0.000916
0.022949
3.486633
Up
late endosomal/lysosomal adaptor, MAPK and MTOR activator 4
BTF3L4
2.981702
8.91E-05
0.006776
4.199218
Up
basic transcription factor 3 like 4
TMX2
2.979038
0.000153
0.009259
4.040171
Up
thioredoxin related transmembrane protein 2
CFL2
2.977258
3.16E-05
0.004025
4.497382
Up
cofilin 2
FAM149A
2.975549
6.83E-05
0.005946
4.276377
Up
family with sequence similarity 149 member A
DTYMK
2.966972
0.000289
0.012546
3.847791
Up
deoxythymidylate kinase
MT1X
2.96256
0.000442
0.015758
3.716594
Up
metallothionein 1X
TSG101
2.95913
0.00027
0.012156
3.868591
Up
tumor susceptibility 101
CPED1
2.957683
0.000497
0.016679
3.680123
Up
cadherin like and PC-esterase domain containing 1
EXOC5
2.949442
0.000271
0.012156
3.867668
Up
exocyst complex component 5
BCYRN1
2.947993
1.57E-05
0.003137
4.695075
Up
brain cytoplasmic RNA 1
ANXA4
2.947244
2.18E-05
0.00341
4.602361
Up
annexin A4
DPP7
2.946214
8.92E-05
0.006776
4.198665
Up
dipeptidyl peptidase 7
SYVN1
2.942727
6.24E-05
0.005556
4.302587
Up
synoviolin 1
NDUFA13
2.941729
0.000735
0.020483
3.556961
Up
NADH:ubiquinoneoxidoreductase subunit A13
C9orf16
2.940481
0.000406
0.014994
3.743119
Up
chromosome 9 open reading frame 16
AMDHD2
2.940188
2.53E-05
0.00358
4.5612
Up
amidohydrolase domain containing 2
KLHL12
2.939522
2.85E-05
0.003867
4.527463
Up
kelch like family member 12
EIF2D
2.938722
0.000261
0.011982
3.878331
Up
eukaryotic translation initiation factor 2D
NDUFB2
2.935453
7.75E-05
0.006191
4.239855
Up
NADH:ubiquinoneoxidoreductase subunit B2
GLRX3
2.93158
0.001019
0.024195
3.452028
Up
glutaredoxin 3
THRSP
2.927803
0.00402
0.04933
2.990471
Up
thyroid hormone responsive
SLC25A11
2.925157
0.000548
0.017445
3.649379
Up
solute carrier family 25 member 11
NDFIP1
2.924945
8E-05
0.006317
4.230473
Up
Nedd4 family interacting protein 1
UBAC1
2.919604
0.000143
0.008978
4.058832
Up
UBA domain containing 1
SETD3
2.915915
0.000233
0.011326
3.913355
Up
SET domain containing 3, actin histidinemethyltransferase
UQCRH
2.914264
0.000206
0.010586
3.950821
Up
ubiquinol-cytochrome c reductase hinge protein
LMBRD1
2.91352
0.000153
0.009259
4.039227
Up
LMBR1 domain containing 1
C1S
2.913138
9.66E-05
0.007077
4.175345
Up
complement C1s
YIPF6
2.909794
0.000398
0.014783
3.74923
Up
Yip1 domain family member 6
COX4I1
2.908785
0.000397
0.014772
3.749898
Up
cytochrome c oxidase subunit 4I1
NBN
2.90833
3.91E-06
0.001884
5.076794
Up
nibrin
TAF7
2.908109
0.000345
0.013777
3.793503
Up
TATA-box binding protein associated factor 7
ANAPC13
2.904023
0.002551
0.038877
3.147704
Up
anaphase promoting complex subunit 13
LYVE1
2.902347
0.001203
0.026382
3.398322
Up
lymphatic vessel endothelial hyaluronan receptor 1
PSMD14
2.901936
0.000247
0.011699
3.89503
Up
proteasome 26S subunit, non-ATPase 14
FAM32A
2.900891
0.000535
0.01724
3.657406
Up
family with sequence similarity 32 member A
UROS
2.900315
0.00024
0.011528
3.904656
Up
uroporphyrinogen III synthase
OST4
2.898201
0.002022
0.034115
3.226353
Up
oligosaccharyltransferase complex subunit 4, non-catalytic
RBBP7
2.897646
0.000946
0.023286
3.476066
Up
RB binding protein 7, chromatin remodeling factor
PRG4
2.897614
4.83E-05
0.005015
4.376505
Up
proteoglycan 4
COX7A2
2.896609
0.000818
0.021597
3.522952
Up
cytochrome c oxidase subunit 7A2
HMGCL
2.895335
0.000179
0.009929
3.993321
Up
3-hydroxy-3-methylglutaryl-CoA lyase
FAM3A
2.894614
8.47E-05
0.006573
4.213715
Up
family with sequence similarity 3 member A
BAK1
2.892595
2.69E-05
0.00371
4.543614
Up
BCL2 antagonist/killer 1
ELOVL6
2.8913
7.93E-05
0.006283
4.232941
Up
ELOVL fatty acid elongase 6
CHCHD2
2.888344
0.000193
0.010317
3.970255
Up
coiled-coil-helix-coiled-coil-helix domain containing 2
PRMT1
2.886326
0.000236
0.01142
3.909722
Up
protein arginine methyltransferase 1
HCFC1R1
2.88509
0.000187
0.010126
3.979988
Up
host cell factor C1 regulator 1
RPS8
2.88263
0.000763
0.02086
3.545152
Up
ribosomal protein S8
JMJD8
2.880095
0.000466
0.016117
3.700249
Up
jumonji domain containing 8
VPS28
2.868412
0.00038
0.014539
3.763185
Up
VPS28 subunit of ESCRT-I
EIF5
2.867934
0.00037
0.014306
3.772157
Up
eukaryotic translation initiation factor 5
ADCY6
2.866913
0.000145
0.009003
4.055897
Up
adenylatecyclase 6
NDUFC2
2.865496
0.001531
0.029477
3.319099
Up
NADH:ubiquinoneoxidoreductase subunit C2
PIGS
2.862467
0.002273
0.036573
3.186856
Up
phosphatidylinositol glycan anchor biosynthesis class S
C1QA
2.861687
0.000816
0.021594
3.523683
Up
complement C1q A chain
FDX1
2.861442
0.000394
0.014749
3.752127
Up
ferredoxin 1
RBX1
2.85968
0.000974
0.023505
3.466607
Up
ring-box 1
TRIB1
2.8594
3.17E-05
0.004025
4.496868
Up
tribblespseudokinase 1
COX6B1
2.858458
0.000469
0.01616
3.698433
Up
cytochrome c oxidase subunit 6B1
MDFI
2.857869
0.000277
0.012363
3.860877
Up
MyoD family inhibitor
RASD1
2.855883
0.00079
0.021079
3.533796
Up
ras related dexamethasone induced 1
SLC40A1
2.854864
0.003422
0.045502
3.046747
Up
solute carrier family 40 member 1
POLR2K
2.854222
0.001838
0.032468
3.258347
Up
RNA polymerase II subunit K
CYB5B
2.852742
9.79E-05
0.00709
4.171566
Up
cytochrome b5 type B
C1orf115
2.850887
0.001855
0.03266
3.255182
Up
chromosome 1 open reading frame 115
EIF3L
2.846772
0.000651
0.019135
3.595545
Up
eukaryotic translation initiation factor 3 subunit L
TMEM219
2.834679
0.001098
0.025262
3.427919
Up
transmembrane protein 219
UQCR11
2.833847
0.000542
0.017312
3.652923
Up
ubiquinol-cytochrome c reductase, complex III subunit XI
AGFG1
2.83177
8.83E-05
0.006771
4.201612
Up
ArfGAP with FG repeats 1
MRPS15
2.831483
0.000629
0.018848
3.606346
Up
mitochondrial ribosomal protein S15
UBE2E1
2.82743
0.00062
0.018805
3.610605
Up
ubiquitin conjugating enzyme E2 E1
NQO1
2.827398
3.12E-05
0.004025
4.50132
Up
NAD(P) H quinone dehydrogenase 1
MORF4L1
2.825223
0.000145
0.009003
4.055546
Up
mortality factor 4 like 1
TM7SF3
2.823384
0.0001
0.007145
4.165181
Up
transmembrane 7 superfamily member 3
RPL35A
2.822157
0.000266
0.012089
3.87247
Up
ribosomal protein L35a
TMEM160
2.812975
0.000317
0.01319
3.819678
Up
transmembrane protein 160
LSM3
2.809963
0.000282
0.012404
3.854606
Up
LSM3 homolog, U6 small nuclear RNA and mRNA degradation associated
PHB
2.808084
0.000258
0.011974
3.881731
Up
prohibitin
MRPS21
2.805911
0.000295
0.012696
3.841189
Up
mitochondrial ribosomal protein S21
TMEM256
2.804853
0.003453
0.045785
3.04363
Up
transmembrane protein 256
MRPS12
2.804789
0.000223
0.011092
3.925752
Up
mitochondrial ribosomal protein S12
PLTP
2.803513
0.000258
0.011965
3.882486
Up
phospholipid transfer protein
TNPO2
2.794461
0.000852
0.022167
3.509567
Up
transportin 2
SKIL
2.793991
1.01E-05
0.002625
4.815964
Up
SKI like proto-oncogene
SEC11A
2.784473
0.001174
0.026198
3.406284
Up
SEC11 homolog A, signal peptidase complex subunit
RPS10
2.783754
0.000749
0.020638
3.550811
Up
ribosomal protein S10
APOD
2.777795
0.00264
0.039615
3.136112
Up
apolipoprotein D
RAB4A
2.777311
0.000182
0.01001
3.987809
Up
RAB4A, member RAS oncogene family
RBMX
2.774453
6.17E-05
0.005556
4.306198
Up
RNA binding motif protein X-linked
ARFIP2
2.772975
0.000459
0.016062
3.705244
Up
ADP ribosylation factor interacting protein 2
CPE
2.770836
0.001392
0.028193
3.350337
Up
carboxypeptidase E
TCTN3
2.770597
8.94E-05
0.006776
4.198026
Up
tectonic family member 3
YWHAH
2.77017
0.000866
0.02234
3.504563
Up
tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein eta
PLXNA1
2.769986
1.66E-05
0.003137
4.67951
Up
plexin A1
AK1
2.767903
0.000273
0.012251
3.864784
Up
adenylate kinase 1
ORMDL1
2.767548
7.27E-05
0.005968
4.258602
Up
ORMDL sphingolipid biosynthesis regulator 1
SLTM
2.767084
0.000706
0.020072
3.569499
Up
SAFB like transcription modulator
PSMC5
2.760402
0.00097
0.023505
3.468114
Up
proteasome 26S subunit, ATPase 5
UHMK1
2.759638
0.000128
0.008394
4.09178
Up
U2AF homology motif kinase 1
AIFM1
2.757223
7.05E-05
0.005956
4.267206
Up
apoptosis inducing factor mitochondria associated 1
TATDN1
2.756526
0.000672
0.019534
3.585379
Up
TatDDNase domain containing 1
COX6C
2.753983
0.000372
0.014337
3.769771
Up
cytochrome c oxidase subunit 6C
GIPC1
2.753721
0.000335
0.013596
3.802772
Up
GIPC PDZ domain containing family member 1
RPS21
2.753031
0.000158
0.009439
4.030076
Up
ribosomal protein S21
CCDC85B
2.752819
0.001517
0.029361
3.322182
Up
coiled-coil domain containing 85B
UAP1
2.74977
0.001158
0.026017
3.410666
Up
UDP-N-acetylglucosaminepyrophosphorylase 1
POFUT1
2.742386
0.000309
0.012965
3.827384
Up
protein O-fucosyltransferase 1
C3AR1
2.736533
2.1E-05
0.00341
4.613724
Up
complement C3a receptor 1
SRP72
2.734833
5.43E-05
0.005283
4.342922
Up
signal recognition particle 72
ABHD17A
2.734708
0.001052
0.024558
3.441677
Up
abhydrolase domain containing 17A
TOMM7
2.730177
0.001231
0.026634
3.390625
Up
translocase of outer mitochondrial membrane 7
ANP32B
2.728749
0.00161
0.030287
3.302334
Up
acidic nuclear phosphoprotein 32 family member B
TMEM230
2.728085
0.001136
0.025784
3.416807
Up
transmembrane protein 230
NABP2
2.7271
0.000369
0.014306
3.772639
Up
nucleic acid binding protein 2
CDC27
2.726993
0.001334
0.027538
3.364495
Up
cell division cycle 27
FAM20B
2.723814
0.000841
0.021962
3.513811
Up
FAM20B glycosaminoglycan xylosylkinase
ETF1
2.7213
0.000538
0.01724
3.655315
Up
eukaryotic translation termination factor 1
GRHPR
2.720938
0.000857
0.022226
3.507777
Up
glyoxylate and hydroxypyruvatereductase
DERL2
2.720492
0.000154
0.009266
4.038321
Up
derlin 2
RPL36A
2.720487
0.000898
0.02272
3.492922
Up
ribosomal protein L36a
C19orf53
2.718168
0.000499
0.016701
3.678807
Up
chromosome 19 open reading frame 53
GTF2A2
2.716967
0.000389
0.014658
3.756692
Up
general transcription factor IIA subunit 2
GADD45B
2.716143
0.000261
0.011982
3.878655
Up
growth arrest and DNA damage inducible beta
CDIPT
2.714923
0.00013
0.00844
4.088275
Up
CDP-diacylglycerol--inositol 3-phosphatidyltransferase
COX6A1
2.712855
0.000535
0.01724
3.657442
Up
cytochrome c oxidase subunit 6A1
SRSF6
2.711655
0.000694
0.019868
3.575141
Up
serine and arginine rich splicing factor 6
SCARB1
2.709938
0.00054
0.017244
3.654526
Up
scavenger receptor class B member 1
ASAP3
2.709641
3.15E-05
0.004025
4.498522
Up
ArfGAP with SH3 domain, ankyrin repeat and PH domain 3
RNASE1
2.702048
0.00234
0.037096
3.177048
Up
ribonuclease A family member 1, pancreatic
NAPRT
2.701
0.000937
0.023198
3.479213
Up
nicotinatephosphoribosyltransferase
UQCRQ
2.698312
0.000786
0.021056
3.535632
Up
ubiquinol-cytochrome c reductase complex III subunit VII
COX7C
2.697196
0.000888
0.022598
3.496307
Up
cytochrome c oxidase subunit 7C
PSMB1
2.694976
0.000391
0.014705
3.754384
Up
proteasome 20S subunit beta 1
ECH1
2.694774
0.002021
0.034115
3.226513
Up
enoyl-CoA hydratase 1
RPS15A
2.694313
0.000873
0.022405
3.502067
Up
ribosomal protein S15a
ERH
2.693982
9.3E-05
0.006902
4.186545
Up
ERH mRNA splicing and mitosis factor
PSMD3
2.69342
0.000362
0.014114
3.77823
Up
proteasome 26S subunit, non-ATPase 3
MRPS24
2.689672
2.97E-06
0.001776
5.150884
Up
mitochondrial ribosomal protein S24
HSD17B10
2.689486
0.000184
0.010093
3.984586
Up
hydroxysteroid 17-beta dehydrogenase 10
ICMT
2.68742
0.001623
0.030348
3.299776
Up
isoprenylcysteine carboxyl methyltransferase
COX8A
2.68611
0.00082
0.021597
3.521817
Up
cytochrome c oxidase subunit 8A
RPS23
2.683611
0.001311
0.027304
3.370125
Up
ribosomal protein S23
TMEM165
2.683585
0.000309
0.012965
3.827632
Up
transmembrane protein 165
TMEM97
2.683426
1.54E-06
0.001401
5.327084
Up
transmembrane protein 97
COX7A2L
2.680847
0.0015
0.029177
3.325736
Up
cytochrome c oxidase subunit 7A2 like
FAM89B
2.67751
0.003528
0.046326
3.036153
Up
family with sequence similarity 89 member B
SMAD5
2.676775
0.0005
0.016701
3.678519
Up
SMAD family member 5
CCNC
2.675154
0.002737
0.040448
3.123787
Up
cyclin C
CDC42EP2
2.672348
0.000165
0.009593
4.016925
Up
CDC42 effector protein 2
UQCRC1
2.67139
3.96E-05
0.004552
4.433447
Up
ubiquinol-cytochrome c reductase core protein 1
COPS7A
2.671383
0.001825
0.032315
3.260743
Up
COP9 signalosome subunit 7A
CCDC80
2.670347
0.003064
0.042867
3.085018
Up
coiled-coil domain containing 80
PSMB4
2.669349
0.000572
0.017831
3.636053
Up
proteasome 20S subunit beta 4
EIF6
2.664726
0.000227
0.011159
3.920651
Up
eukaryotic translation initiation factor 6
PFDN5
2.657659
0.001117
0.025474
3.422216
Up
prefoldin subunit 5
AFF1
2.657404
0.00036
0.014077
3.78051
Up
AF4/FMR2 family member 1
UQCRFS1
2.656808
0.000434
0.01563
3.722419
Up
ubiquinol-cytochrome c reductase, Rieske iron-sulfur polypeptide 1
TYROBP
2.652926
0.0038
0.047966
3.010176
Up
TYRO protein tyrosine kinase binding protein
ANAPC5
2.650988
0.000463
0.016091
3.702541
Up
anaphase promoting complex subunit 5
TRMT112
2.643049
0.001145
0.025902
3.414206
Up
tRNAmethyltransferase subunit 11-2
ARF5
2.641389
0.002168
0.035481
3.202951
Up
ADP ribosylation factor 5
POLR1D
2.64106
0.000197
0.010419
3.963486
Up
RNA polymerase I and III subunit D
SNX9
2.639558
0.000559
0.017629
3.643451
Up
sorting nexin 9
NDUFS5
2.634939
0.000625
0.018808
3.608112
Up
NADH:ubiquinoneoxidoreductase subunit S5
KDSR
2.634609
0.00089
0.022598
3.495893
Up
3-ketodihydrosphingosine reductase
KRTCAP2
2.634197
0.001854
0.032651
3.255495
Up
keratinocyte associated protein 2
RPAIN
2.632929
0.00075
0.020638
3.55055
Up
RPA interacting protein
OXCT1
2.63204
0.003122
0.043255
3.078538
Up
3-oxoacid CoA-transferase 1
CAPNS1
2.631695
0.000733
0.020454
3.557742
Up
calpain small subunit 1
SERPINH1
2.631035
0.000261
0.011982
3.878996
Up
serpin family H member 1
TNIP2
2.630856
0.000242
0.011614
3.901038
Up
TNFAIP3 interacting protein 2
RASSF3
2.62826
0.004015
0.049293
2.990897
Up
Ras association domain family member 3
RPL27
2.626854
0.001008
0.024036
3.455675
Up
ribosomal protein L27
ARHGAP12
2.624075
0.0007
0.019959
3.572316
Up
Rho GTPase activating protein 12
PRPF31
2.623671
0.000129
0.008399
4.090841
Up
pre-mRNA processing factor 31
KLB
2.623223
0.001365
0.027884
3.356946
Up
klotho beta
TMX4
2.618625
0.00108
0.024945
3.433183
Up
thioredoxin related transmembrane protein 4
NQO2
2.617727
0.002855
0.041527
3.109292
Up
N-ribosyldihydronicotinamide:quinonereductase 2
NME2
2.617495
0.002462
0.038092
3.159908
Up
NME/NM23 nucleoside diphosphate kinase 2
SLC25A26
2.616798
1.27E-05
0.002881
4.754142
Up
solute carrier family 25 member 26
TOMM5
2.615408
0.003222
0.043977
3.067588
Up
translocase of outer mitochondrial membrane 5
ETFB
2.614762
0.001976
0.033674
3.234172
Up
electron transfer flavoprotein subunit beta
MOAP1
2.614239
0.000133
0.008495
4.081606
Up
modulator of apoptosis 1
NACC1
2.613132
1.23E-05
0.002829
4.761618
Up
nucleus accumbens associated 1
NAGLU
2.612492
0.000258
0.011965
3.882494
Up
N-acetyl-alpha-glucosaminidase
XRCC5
2.611431
0.000462
0.016091
3.703217
Up
X-ray repair cross complementing 5
RPL35
2.610712
0.000229
0.011194
3.918588
Up
ribosomal protein L35
KRCC1
2.608947
9.22E-05
0.006864
4.189205
Up
lysine rich coiled-coil 1
PSMB7
2.608925
0.001141
0.025828
3.415417
Up
proteasome 20S subunit beta 7
RPS29
2.608914
0.001176
0.026198
3.405623
Up
ribosomal protein S29
SNRPD2
2.604428
0.000499
0.016701
3.679267
Up
small nuclear ribonucleoprotein D2 polypeptide
RSL24D1
2.604123
0.001206
0.026399
3.397372
Up
ribosomal L24 domain containing 1
RBM3
2.602465
0.000751
0.020661
3.549857
Up
RNA binding motif protein 3
RPL14
2.598328
0.002801
0.041085
3.115761
Up
ribosomal protein L14
DBI
2.593769
0.001225
0.026608
3.392185
Up
diazepam binding inhibitor, acyl-CoA binding protein
RPL13A
2.592976
0.000949
0.023287
3.474966
Up
ribosomal protein L13a
NAB1
2.591638
0.000791
0.021082
3.533288
Up
NGFI-A binding protein 1
STX10
2.590276
0.003718
0.047358
3.01781
Up
syntaxin 10
SLC35E1
2.589777
0.000244
0.011642
3.898916
Up
solute carrier family 35 member E1
GCHFR
2.586356
0.00154
0.029477
3.317136
Up
GTP cyclohydrolase I feedback regulator
WIPI1
2.586044
0.001049
0.024512
3.442577
Up
WD repeat domain, phosphoinositide interacting 1
TMEM50A
2.586036
0.001551
0.029566
3.314827
Up
transmembrane protein 50A
NELFB
2.585911
0.000623
0.018805
3.609156
Up
negative elongation factor complex member B
MRPL9
2.582693
0.000637
0.019003
3.60222
Up
mitochondrial ribosomal protein L9
DIP2C
2.577846
1.51E-06
0.001401
5.333124
Up
disco interacting protein 2 homolog C
PFDN1
2.577843
0.001923
0.033201
3.243123
Up
prefoldin subunit 1
PCYT2
2.574996
0.000343
0.013741
3.795229
Up
phosphate cytidylyltransferase 2, ethanolamine
RPL29
2.574629
0.000911
0.022881
3.488378
Up
ribosomal protein L29
RPL30
2.574242
0.000917
0.022969
3.486043
Up
ribosomal protein L30
EMC4
2.572361
0.00205
0.034257
3.221746
Up
ER membrane protein complex subunit 4
RPL24
2.571676
0.002479
0.038185
3.157525
Up
ribosomal protein L24
RPS15
2.570516
0.001711
0.031119
3.282153
Up
ribosomal protein S15
SMARCD2
2.569052
0.000525
0.017152
3.66321
Up
SWI/SNF related, matrix associated, actin dependent regulator of chromatin, subfamily d, member 2
C9orf78
2.568679
9.48E-05
0.007003
4.180864
Up
chromosome 9 open reading frame 78
BLOC1S1
2.568295
0.001664
0.03072
3.291398
Up
biogenesis of lysosomal organelles complex 1 subunit 1
ATP9A
2.567757
0.000243
0.011614
3.900357
Up
ATPase phospholipid transporting 9A (putative)
MS4A4A
2.566919
5.96E-05
0.005493
4.316129
Up
membrane spanning 4-domains A4A
AFAP1L1
2.565706
0.002187
0.035677
3.199902
Up
actin filament associated protein 1 like 1
CDKN2B
2.565157
0.000599
0.018321
3.621709
Up
cyclin dependent kinase inhibitor 2B
IFI27
2.563118
0.00371
0.047358
3.01863
Up
interferon alpha inducible protein 27
MED4
2.555663
0.001188
0.026311
3.402174
Up
mediator complex subunit 4
DPH5
2.553328
3.71E-05
0.004462
4.452413
Up
diphthamide biosynthesis 5
WIZ
2.550083
0.000617
0.018752
3.612543
Up
WIZ zinc finger
PEX19
2.549485
0.003066
0.042867
3.084727
Up
peroxisomal biogenesis factor 19
RABGEF1
2.547097
0.001793
0.032062
3.266518
Up
RAB guanine nucleotide exchange factor 1
SLC9A3R1
2.544376
0.000906
0.022852
3.490141
Up
SLC9A3 regulator 1
ANO6
2.541247
0.00097
0.023505
3.468073
Up
anoctamin 6
RPLP0
2.539879
0.000147
0.009101
4.051259
Up
ribosomal protein lateral stalk subunit P0
EZH1
2.538446
0.000787
0.021056
3.535293
Up
enhancer of zeste 1 polycomb repressive complex 2 subunit
PSKH1
2.53776
0.001027
0.024288
3.449585
Up
protein serine kinase H1
RPL34
2.53733
0.000646
0.0191
3.597964
Up
ribosomal protein L34
NDUFS4
2.53691
0.000267
0.012096
3.871781
Up
NADH:ubiquinoneoxidoreductase subunit S4
BANF1
2.535865
0.000572
0.017831
3.636063
Up
barrier to autointegration factor 1
MRPL54
2.533785
0.000952
0.023287
3.473973
Up
mitochondrial ribosomal protein L54
CKS1B
2.533771
0.000911
0.022881
3.488195
Up
CDC28 protein kinase regulatory subunit 1B
TMEM184B
2.532583
1.67E-05
0.003137
4.676649
Up
transmembrane protein 184B
PSMD10
2.530765
0.00053
0.01724
3.660242
Up
proteasome 26S subunit, non-ATPase 10
RPS5
2.529965
0.000597
0.018297
3.622831
Up
ribosomal protein S5
CUL4A
2.529656
0.001663
0.03072
3.291653
Up
cullin 4A
MFAP5
2.527961
0.000821
0.021597
3.521542
Up
microfibril associated protein 5
SNTA1
2.526907
0.000372
0.014337
3.770146
Up
syntrophin alpha 1
RPS20
2.52651
0.002839
0.041407
3.111181
Up
ribosomal protein S20
RSL1D1
2.524784
0.000405
0.014978
3.743879
Up
ribosomal L1 domain containing 1
RPS24
2.523665
0.002187
0.035677
3.200019
Up
ribosomal protein S24
ICAM2
2.52328
0.00175
0.031637
3.274701
Up
intercellular adhesion molecule 2
B4GALT2
2.522208
0.001703
0.031013
3.283844
Up
beta-1,4-galactosyltransferase 2
NUDT16
2.521704
0.001545
0.029527
3.315981
Up
nudix hydrolase 16
PFN2
2.519815
0.001062
0.024764
3.438594
Up
profilin 2
RAB10
2.519714
0.003057
0.04281
3.085745
Up
RAB10, member RAS oncogene family
SF3B5
2.519177
0.003604
0.046771
3.028686
Up
splicing factor 3b subunit 5
TCEAL8
2.516685
0.003486
0.04603
3.040293
Up
transcription elongation factor A like 8
CD99L2
2.51621
0.001957
0.03358
3.23728
Up
CD99 molecule like 2
SUCLG1
2.514671
0.001177
0.026198
3.405243
Up
succinate-CoA ligase alpha subunit
LAMA2
2.514019
0.000535
0.01724
3.657403
Up
laminin subunit alpha 2
EIF3E
2.511931
0.000766
0.020887
3.543592
Up
eukaryotic translation initiation factor 3 subunit E
BCL7B
2.511858
0.000361
0.014084
3.779795
Up
BAF chromatin remodeling complex subunit BCL7B
SEPHS2
2.511732
0.000202
0.010561
3.955986
Up
selenophosphatesynthetase 2
LOXL2
2.511606
0.000883
0.022598
3.498175
Up
lysyl oxidase like 2
PMM1
2.511461
0.00143
0.02855
3.341501
Up
phosphomannomutase 1
DNPH1
2.50873
0.002905
0.041811
3.103319
Up
2'-deoxynucleoside 5'-phosphate N-hydrolase 1
RARRES2
2.504265
0.003791
0.047902
3.011021
Up
retinoic acid receptor responder 2
COA3
2.50271
0.001102
0.025262
3.426827
Up
cytochrome c oxidase assembly factor 3
MRPS34
2.502001
0.000919
0.022981
3.485574
Up
mitochondrial ribosomal protein S34
SLC30A7
-3.56691
4.14E-07
0.00095
-5.67461
Down
solute carrier family 30 member 7
VTI1A
-3.31043
1.05E-07
0.000478
-6.03155
Down
vesicle transport through interaction with t-SNAREs 1A
ERG
-3.30133
2.32E-05
0.003497
-4.58491
Down
ETS transcription factor ERG
ZFYVE1
-3.18784
1.03E-06
0.001179
-5.43378
Down
zinc finger FYVE-type containing 1
AAK1
-3.1737
2.73E-06
0.001776
-5.17359
Down
AP2 associated kinase 1
URB2
-3.16731
8.19E-07
0.00108
-5.49481
Down
URB2 ribosome biogenesis homolog
IGIP
-3.12032
5.55E-05
0.005363
-4.33643
Down
IgA inducing protein
ITIH4
-2.9168
3.51E-06
0.001852
-5.10571
Down
inter-alpha-trypsin inhibitor heavy chain 4
LOC646214
-2.85088
0.000346
0.013805
-3.79234
Down
p21 protein (Cdc42/Rac)-activated kinase 2 pseudogene
ZNF486
-2.84793
1.14E-05
0.002738
-4.78297
Down
zinc finger protein 486
TET3
-2.81596
1.11E-06
0.001179
-5.41343
Down
tetmethylcytosinedioxygenase 3
HECW2
-2.8127
3.17E-05
0.004025
-4.49639
Down
HECT, C2 and WW domain containing E3 ubiquitin protein ligase 2
LPXN
-2.80145
3.07E-06
0.001776
-5.14246
Down
leupaxin
GOSR1
-2.79883
1.73E-05
0.003174
-4.66687
Down
golgi SNAP receptor complex member 1
PDPR
-2.78381
4.99E-05
0.005058
-4.36736
Down
pyruvate dehydrogenase phosphatase regulatory subunit
TNKS
-2.74917
9.17E-05
0.006848
-4.19071
Down
tankyrase
ECD
-2.73445
0.000348
0.013823
-3.79107
Down
ecdysoneless cell cycle regulator
ABCC5
-2.72387
1.16E-05
0.002752
-4.77862
Down
ATP binding cassette subfamily C member 5
STXBP5
-2.71632
0.000176
0.009858
-3.99744
Down
syntaxin binding protein 5
WDR19
-2.69898
0.000615
0.018721
-3.61344
Down
WD repeat domain 19
SARM1
-2.69717
1.19E-09
1.98E-05
-7.17529
Down
sterile alpha and TIR motif containing 1
TRAF5
-2.66677
0.000107
0.007492
-4.14579
Down
TNF receptor associated factor 5
SYNE2
-2.663
5.87E-05
0.005493
-4.32047
Down
spectrin repeat containing nuclear envelope protein 2
CFP
-2.6567
0.000675
0.019585
-3.58386
Down
complement factor properdin
ANKRD20A9P
-2.64322
0.001714
0.031148
-3.28161
Down
ankyrin repeat domain 20 family member A9, pseudogene
FAT4
-2.63099
0.000494
0.016631
-3.68187
Down
FAT atypical cadherin 4
HIVEP1
-2.62581
8.18E-05
0.006387
-4.22422
Down
HIVEP zinc finger 1
SNAP47
-2.61436
0.000216
0.010911
-3.93599
Down
synaptosome associated protein 47
DMRT2
-2.61357
0.000161
0.009544
-4.02349
Down
doublesex and mab-3 related transcription factor 2
GEMIN5
-2.60553
3.51E-05
0.004269
-4.46757
Down
gem nuclear organelle associated protein 5
LOC643406
-2.59315
0.000435
0.015643
-3.72139
Down
uncharacterized LOC643406
OBSCN
-2.58615
0.000237
0.011453
-3.90744
Down
obscurin, cytoskeletal calmodulin and titin-interacting RhoGEF
ATP13A1
-2.57902
6.26E-05
0.005556
-4.3019
Down
ATPase 13A1
LOC105372795
-2.56184
2.46E-06
0.001776
-5.2015
Down
uncharacterized LOC105372795
PXMP4
-2.55289
0.000508
0.016883
-3.67316
Down
peroxisomal membrane protein 4
FAS
-2.51889
0.000221
0.011049
-3.92874
Down
Fas cell surface death receptor
MGAM
-2.5179
0.001226
0.026608
-3.39213
Down
maltase-glucoamylase
ERCC6L2
-2.49433
0.000462
0.016091
-3.70269
Down
ERCC excision repair 6 like 2
MFAP3
-2.48427
9.78E-05
0.00709
-4.17183
Down
microfibril associated protein 3
TPD52
-2.48206
0.001319
0.027418
-3.36809
Down
tumor protein D52
PPP1R3B
-2.47428
0.001536
0.029477
-3.31797
Down
protein phosphatase 1 regulatory subunit 3B
PTGDR
-2.46695
4.33E-07
0.00095
-5.66312
Down
prostaglandin D2 receptor
AHSP
-2.45099
4.99E-06
0.002061
-5.01026
Down
alpha hemoglobin stabilizing protein
ODF2
-2.44884
0.000531
0.01724
-3.65942
Down
outer dense fiber of sperm tails 2
MAU2
-2.44852
0.002675
0.039958
-3.1315
Down
MAU2 sister chromatid cohesion factor
PTOV1-AS2
-2.44504
8.73E-06
0.002428
-4.85721
Down
PTOV1 antisense RNA 2
SLCO4A1
-2.42489
9.04E-05
0.006791
-4.19486
Down
solute carrier organic anion transporter family member 4A1
RAP1GAP2
-2.41727
0.000428
0.015491
-3.72656
Down
RAP1 GTPase activating protein 2
GUSBP11
-2.41706
1.72E-05
0.003165
-4.66966
Down
GUSB pseudogene 11
CHST14
-2.40289
6.43E-06
0.002175
-4.94093
Down
carbohydrate sulfotransferase 14
SMYD4
-2.3923
0.000889
0.022598
-3.49612
Down
SET and MYND domain containing 4
CACNA2D4
-2.38689
1.62E-05
0.003137
-4.6856
Down
calcium voltage-gated channel auxiliary subunit alpha2delta 4
ERO1A
-2.3862
0.001273
0.026966
-3.37975
Down
endoplasmic reticulum oxidoreductase 1 alpha
ATRNL1
-2.37103
1.84E-05
0.003308
-4.64955
Down
attractin like 1
ATL1
-2.37076
0.000548
0.017445
-3.64947
Down
atlastinGTPase 1
EPHB4
-2.36058
0.000451
0.015882
-3.71047
Down
EPH receptor B4
AOC4P
-2.35367
3.9E-06
0.001884
-5.07705
Down
amine oxidase copper containing 4, pseudogene
SLC25A13
-2.34818
0.000134
0.008515
-4.07881
Down
solute carrier family 25 member 13
FAM13B
-2.34187
0.003334
0.044854
-3.05577
Down
family with sequence similarity 13 member B
TRAK1
-2.33457
0.000883
0.022598
-3.49834
Down
trafficking kinesin protein 1
ABI3
-2.3343
0.000274
0.012278
-3.8636
Down
ABI family member 3
SEMA6B
-2.33392
4.57E-05
0.004952
-4.39248
Down
semaphorin 6B
METTL21A
-2.33362
0.002789
0.040954
-3.11724
Down
methyltransferase like 21A
ZNF778
-2.33087
3.93E-06
0.001884
-5.07521
Down
zinc finger protein 778
PDE4B
-2.32078
0.000786
0.021056
-3.5357
Down
phosphodiesterase 4B
NDC1
-2.31958
0.000208
0.010631
-3.94732
Down
NDC1 transmembranenucleoporin
SLC9A7
-2.31311
0.001151
0.025956
-3.41266
Down
solute carrier family 9 member A7
NLGN2
-2.31264
7.89E-05
0.006274
-4.23441
Down
neuroligin 2
IKZF4
-2.30922
0.000113
0.007788
-4.12818
Down
IKAROS family zinc finger 4
MAST3
-2.3067
0.001042
0.024428
-3.44474
Down
microtubule associated serine/threonine kinase 3
SAP25
-2.30632
0.000324
0.013394
-3.81298
Down
Sin3A associated protein 25
ZNF213-AS1
-2.30592
3.03E-06
0.001776
-5.14592
Down
ZNF213 antisense RNA 1 (head to head)
ADAMTS13
-2.30408
2.03E-06
0.001623
-5.25359
Down
ADAM metallopeptidase with thrombospondin type 1 motif 13
CDH19
-2.30007
9.85E-06
0.002623
-4.82394
Down
cadherin 19
DOCK9
-2.28015
0.002517
0.038469
-3.15239
Down
dedicator of cytokinesis 9
PARP10
-2.27632
0.003654
0.047012
-3.0239
Down
poly (ADP-ribose) polymerase family member 10
LOC648987
-2.27592
2.87E-06
0.001776
-5.16
Down
uncharacterized LOC648987
GIMAP8
-2.27461
0.001512
0.029333
-3.32309
Down
GTPase, IMAP family member 8
COL8A1
-2.27216
0.00307
0.042867
-3.08427
Down
collagen type VIII alpha 1 chain
MYO7A
-2.26997
5.89E-06
0.002131
-4.96524
Down
myosin VIIA
SLC25A35
-2.26394
4.18E-05
0.004645
-4.41821
Down
solute carrier family 25 member 35
ESR1
-2.25478
0.000772
0.020954
-3.54124
Down
estrogen receptor 1
FAM71F2
-2.25074
5.55E-06
0.002118
-4.98153
Down
family with sequence similarity 71 member F2
ZNF493
-2.24829
0.000671
0.019525
-3.58587
Down
zinc finger protein 493
CEP135
-2.24319
1.89E-05
0.003342
-4.64292
Down
centrosomal protein 135
CEP126
-2.24051
0.001032
0.024341
-3.44789
Down
centrosomal protein 126
ASTN2
-2.23592
0.001156
0.026012
-3.41115
Down
astrotactin 2
IPP
-2.22612
0.000101
0.007163
-4.16214
Down
intracisternal A particle-promoted polypeptide
TANGO6
-2.2248
0.000418
0.015262
-3.73417
Down
transport and golgi organization 6 homolog
ZXDC
-2.22107
0.001926
0.033211
-3.24265
Down
ZXD family zinc finger C
TMCO4
-2.21386
0.000912
0.022891
-3.48775
Down
transmembrane and coiled-coil domains 4
WSCD1
-2.20938
1.36E-05
0.003004
-4.73545
Down
WSC domain containing 1
PLXNB3
-2.20331
0.000194
0.010359
-3.96765
Down
plexin B3
SPAST
-2.19723
0.003713
0.047358
-3.01835
Down
spastin
LRSAM1
-2.19647
0.00028
0.012403
-3.85725
Down
leucine rich repeat and sterile alpha motif containing 1
BANP
-2.19578
0.002678
0.039958
-3.13116
Down
BTG3 associated nuclear protein
SCAF4
-2.1951
0.001471
0.028954
-3.33217
Down
SR-related CTD associated factor 4
SDCCAG8
-2.19392
0.001272
0.026966
-3.38007
Down
serologically defined colon cancer antigen 8
KCNQ1OT1
-2.19178
0.002417
0.037819
-3.16609
Down
KCNQ1 opposite strand/antisense transcript 1
CD82
-2.18167
0.001254
0.026814
-3.38461
Down
CD82 molecule
KIAA0754
-2.17697
0.000994
0.023761
-3.46018
Down
KIAA0754
PTPRN2
-2.17646
0.00099
0.023704
-3.46132
Down
protein tyrosine phosphatase receptor type N2
MYLK-AS1
-2.16901
0.000153
0.009259
-4.03959
Down
MYLK antisense RNA 1
PLXDC1
-2.16377
0.001307
0.027262
-3.37099
Down
plexin domain containing 1
TDRD5
-2.15738
4.87E-05
0.005015
-4.37413
Down
tudor domain containing 5
LCAT
-2.15173
0.000278
0.012383
-3.85932
Down
lecithin-cholesterol acyltransferase
PRDM11
-2.15109
6.78E-07
0.001025
-5.54474
Down
PR/SET domain 11
RASIP1
-2.14799
0.000745
0.02059
-3.55262
Down
Ras interacting protein 1
SPN
-2.14456
0.002682
0.039958
-3.13065
Down
sialophorin
SHISA9
-2.14372
0.00386
0.048313
-3.0047
Down
shisa family member 9
ANKRD6
-2.14267
0.003628
0.046875
-3.0264
Down
ankyrin repeat domain 6
MAK
-2.13779
2.41E-05
0.003515
-4.57405
Down
male germ cell associated kinase
EPHA4
-2.13565
0.000848
0.022087
-3.51135
Down
EPH receptor A4
UBR5-AS1
-2.12673
2.81E-05
0.003842
-4.53078
Down
UBR5 antisense RNA 1
CTC1
-2.12661
0.003144
0.043426
-3.07609
Down
CST telomere replication complex component 1
NPHP4
-2.12045
7.65E-05
0.006152
-4.24347
Down
nephrocystin 4
RFX3
-2.11961
0.000286
0.012464
-3.85121
Down
regulatory factor X3
PLD1
-2.10857
0.000478
0.016343
-3.69227
Down
phospholipase D1
ZNF474
-2.10767
3.19E-06
0.001776
-5.13193
Down
zinc finger protein 474
LCK
-2.10338
0.000224
0.011092
-3.92537
Down
LCK proto-oncogene, Src family tyrosine kinase
ZCCHC4
-2.10229
0.002042
0.034193
-3.22302
Down
zinc finger CCHC-type containing 4
PRPS2
-2.09872
0.001319
0.027418
-3.3681
Down
phosphoribosyl pyrophosphate synthetase 2
TAF4B
-2.09126
0.000171
0.009664
-4.00627
Down
TATA-box binding protein associated factor 4b
CDC42BPA
-2.08947
0.001389
0.028155
-3.3511
Down
CDC42 binding protein kinase alpha
LINC01230
-2.0891
0.00033
0.013567
-3.80731
Down
long intergenic non-protein coding RNA 1230
CPAMD8
-2.08813
0.000302
0.012829
-3.83385
Down
C3 and PZP like alpha-2-macroglobulin domain containing 8
PARP9
-2.08698
0.001921
0.033188
-3.24363
Down
poly (ADP-ribose) polymerase family member 9
ZFYVE27
-2.08654
0.000479
0.016343
-3.69181
Down
zinc finger FYVE-type containing 27
IWS1
-2.08516
0.002881
0.041667
-3.10619
Down
interacts with SUPT6H, CTD assembly factor 1
MMRN1
-2.08143
0.000451
0.015882
-3.7104
Down
multimerin 1
ST20-AS1
-2.07521
6.76E-06
0.00223
-4.92723
Down
ST20 antisense RNA 1
CALCR
-2.07464
5.03E-05
0.005083
-4.36486
Down
calcitonin receptor
KAT7
-2.06821
0.003226
0.043983
-3.06718
Down
lysine acetyltransferase 7
ARHGAP22
-2.05873
4.78E-06
0.002061
-5.02181
Down
Rho GTPase activating protein 22
TMEM199
-2.05777
0.002257
0.036467
-3.18933
Down
transmembrane protein 199
NTN1
-2.05766
0.000168
0.009643
-4.01109
Down
netrin 1
LAMA5
-2.05607
0.002141
0.035221
-3.20706
Down
laminin subunit alpha 5
SPNS3
-2.05195
2.18E-05
0.00341
-4.60239
Down
sphingolipid transporter 3 (putative)
NEDD4L
-2.04969
0.001542
0.029477
-3.31678
Down
NEDD4 like E3 ubiquitin protein ligase
BSN
-2.04855
2.9E-05
0.003871
-4.52186
Down
bassoon presynaptic cytomatrix protein
TMED8
-2.04722
7.63E-06
0.002243
-4.89431
Down
transmembrane p24 trafficking protein family member 8
STRBP
-2.04479
0.003521
0.046281
-3.03684
Down
spermatid perinuclear RNA binding protein
ATP13A4
-2.04282
5.91E-05
0.005493
-4.3185
Down
ATPase 13A4
KLC2
-2.03984
0.001017
0.024181
-3.45276
Down
kinesin light chain 2
RLF
-2.03665
0.001889
0.032833
-3.2492
Down
rearranged L-myc fusion
TTF1
-2.03264
0.002608
0.03937
-3.14019
Down
transcription termination factor 1
TMEM79
-2.0311
5.41E-05
0.005279
-4.34419
Down
transmembrane protein 79
ZCCHC2
-2.02905
0.002297
0.036735
-3.18334
Down
zinc finger CCHC-type containing 2
ANKRD13B
-2.02722
0.001008
0.024036
-3.45558
Down
ankyrin repeat domain 13B
IFT122
-2.02015
0.002868
0.041571
-3.10772
Down
intraflagellar transport 122
MAP 3K14
-2.01534
0.003484
0.046026
-3.0405
Down
mitogen-activated protein kinase kinasekinase 14
SPATA6L
-2.01191
3.29E-05
0.004116
-4.48594
Down
spermatogenesis associated 6 like
SCOC-AS1
-2.01128
0.00093
0.023147
-3.48171
Down
SCOC antisense RNA 1
LMO7
-2.00579
0.000573
0.017831
-3.63573
Down
LIM domain 7
MEX3B
-1.99674
2.01E-05
0.00341
-4.6259
Down
mex-3 RNA binding family member B
IQCK
-1.99382
0.00025
0.011782
-3.89149
Down
IQ motif containing K
GPATCH1
-1.9934
0.000126
0.008296
-4.09746
Down
G-patch domain containing 1
HPS4
-1.98942
0.002434
0.037832
-3.16378
Down
HPS4 biogenesis of lysosomal organelles complex 3 subunit 2
FGFR3
-1.98496
1.56E-05
0.003137
-4.6955
Down
fibroblast growth factor receptor 3
GABRA4
-1.98306
0.000116
0.007921
-4.1216
Down
gamma-aminobutyric acid type A receptor alpha4 subunit
TMEM116
-1.97917
0.000648
0.0191
-3.5967
Down
transmembrane protein 116
CTU1
-1.97326
4.92E-06
0.002061
-5.01408
Down
cytosolic thiouridylase subunit 1
PPIEL
-1.9687
0.002144
0.035221
-3.20669
Down
peptidylprolylisomerase E like pseudogene
FUT11
-1.965
0.000688
0.019806
-3.57787
Down
fucosyltransferase 11
TOP3A
-1.96066
0.00295
0.04205
-3.098
Down
DNA topoisomerase III alpha
C22orf34
-1.95954
0.000251
0.011782
-3.89083
Down
chromosome 22 open reading frame 34
ASIC3
-1.95737
4.65E-05
0.005
-4.38764
Down
acid sensing ion channel subunit 3
SNPH
-1.95235
0.002152
0.035284
-3.20546
Down
syntaphilin
ZNF547
-1.95217
0.000487
0.016474
-3.68677
Down
zinc finger protein 547
FEZ1
-1.94468
0.000873
0.022405
-3.50206
Down
fasciculation and elongation protein zeta 1
ENTPD5
-1.94339
0.000264
0.012058
-3.87463
Down
ectonucleoside triphosphate diphosphohydrolase 5 (inactive)
LOC729683
-1.94235
2.6E-05
0.00365
-4.55269
Down
uncharacterized LOC729683
S1PR5
-1.94099
8.19E-05
0.006387
-4.22381
Down
sphingosine-1-phosphate receptor 5
ZNF300P1
-1.93492
0.000171
0.009664
-4.00596
Down
zinc finger protein 300 pseudogene 1
UNC13C
-1.93485
0.000438
0.015649
-3.7196
Down
unc-13 homolog C
LOC101928370
-1.93447
2.11E-06
0.001634
-5.24334
Down
uncharacterized LOC101928370
ZNF555
-1.92846
0.000376
0.014411
-3.76684
Down
zinc finger protein 555
GADD45G
-1.92497
0.001994
0.03385
-3.23101
Down
growth arrest and DNA damage inducible gamma
KCNC1
-1.92247
2.19E-05
0.00341
-4.60096
Down
potassium voltage-gated channel subfamily C member 1
CARD14
-1.91822
6.28E-06
0.002168
-4.9474
Down
caspase recruitment domain family member 14
STK36
-1.91359
0.003625
0.046875
-3.0267
Down
serine/threonine kinase 36
TRIB3
-1.91164
0.00031
0.012992
-3.82577
Down
tribblespseudokinase 3
ZNF124
-1.9092
0.000271
0.012156
-3.86767
Down
zinc finger protein 124
MPZL3
-1.90884
0.000298
0.012703
-3.83854
Down
myelin protein zero like 3
TOR4A
-1.90324
0.00029
0.012546
-3.84663
Down
torsin family 4 member A
MIR3916
-1.90072
4.48E-06
0.002039
-5.03938
Down
microRNA 3916
ZNF334
-1.89919
6.18E-06
0.002168
-4.9521
Down
zinc finger protein 334
TTLL3
-1.89535
0.000105
0.007409
-4.1499
Down
tubulin tyrosine ligase like 3
ZKSCAN3
-1.89411
0.001595
0.030071
-3.30542
Down
zinc finger with KRAB and SCAN domains 3
PAPLN
-1.88842
0.001527
0.029477
-3.31986
Down
papilin, proteoglycan like sulfated glycoprotein
KNTC1
-1.88703
0.000207
0.01061
-3.94852
Down
kinetochore associated 1
SLC1A7
-1.88316
0.000163
0.009559
-4.01961
Down
solute carrier family 1 member 7
BCL9
-1.87682
0.00158
0.029935
-3.30857
Down
BCL9 transcription coactivator
ZNF496
-1.87502
0.00041
0.015068
-3.74029
Down
zinc finger protein 496
LNX2
-1.87272
0.003479
0.045998
-3.04098
Down
ligand of numb-protein X 2
DNAJC18
-1.8714
0.000203
0.010561
-3.95515
Down
DnaJ heat shock protein family (Hsp40) member C18
ZNF114
-1.86888
6.34E-05
0.0056
-4.29807
Down
zinc finger protein 114
VWA3B
-1.86543
3.01E-05
0.003964
-4.51187
Down
von Willebrand factor A domain containing 3B
ARNTL2
-1.86522
0.002029
0.034127
-3.22522
Down
aryl hydrocarbon receptor nuclear translocator like 2
NGFR
-1.85434
0.000295
0.012696
-3.84106
Down
nerve growth factor receptor
CLEC1A
-1.85306
0.001166
0.026095
-3.40829
Down
C-type lectin domain family 1 member A
ZNF687
-1.85305
0.003658
0.047012
-3.02347
Down
zinc finger protein 687
ZNF69
-1.85271
2.47E-05
0.003545
-4.56704
Down
zinc finger protein 69
MTF1
-1.85038
0.000974
0.023505
-3.46684
Down
metal regulatory transcription factor 1
ZNF154
-1.84509
0.00012
0.008053
-4.11197
Down
zinc finger protein 154
SLAMF6
-1.84139
0.00019
0.010241
-3.9745
Down
SLAM family member 6
TMEM255B
-1.8379
5.28E-05
0.005263
-4.35097
Down
transmembrane protein 255B
HLA-H
-1.83482
0.002773
0.040755
-3.11929
Down
major histocompatibility complex, class I, H (pseudogene)
KBTBD7
-1.82918
0.000254
0.011836
-3.88686
Down
kelch repeat and BTB domain containing 7
CDC20B
-1.82896
6.91E-05
0.005946
-4.2731
Down
cell division cycle 20B
SLC44A5
-1.82893
1.48E-05
0.003137
-4.71193
Down
solute carrier family 44 member 5
MEN1
-1.8227
0.001593
0.030071
-3.30582
Down
menin 1
SCNN1D
-1.82156
0.003912
0.048656
-3.00003
Down
sodium channel epithelial 1 delta subunit
PFAS
-1.81549
0.002896
0.041776
-3.10436
Down
phosphoribosylformylglycinamidine synthase
EVA1C
-1.81455
0.001419
0.028438
-3.34407
Down
eva-1 homolog C
TIAM2
-1.80764
6.94E-05
0.005946
-4.27171
Down
TIAM Rac1 associated GEF 2
HLA-F-AS1
-1.80482
0.002916
0.041853
-3.10204
Down
HLA-F antisense RNA 1
TRAPPC9
-1.80093
0.00091
0.022881
-3.48851
Down
trafficking protein particle complex 9
APCDD1L
-1.80071
1.64E-05
0.003137
-4.68254
Down
APC down-regulated 1 like
CYTIP
-1.79864
0.001215
0.026482
-3.39492
Down
cytohesin 1 interacting protein
NUTM1
-1.79716
2.14E-05
0.00341
-4.60821
Down
NUT midline carcinoma family member 1
ARHGAP39
-1.79263
0.000319
0.013245
-3.81744
Down
Rho GTPase activating protein 39
SPTB
-1.79073
0.001482
0.028982
-3.32988
Down
spectrin beta, erythrocytic
ZNF469
-1.78919
7.59E-05
0.006143
-4.24571
Down
zinc finger protein 469
AZIN1-AS1
-1.78541
1.92E-05
0.003347
-4.63776
Down
AZIN1 antisense RNA 1
BCL2L11
-1.78395
0.001862
0.032689
-3.25392
Down
BCL2 like 11
CLDN1
-1.78076
0.000331
0.013573
-3.80619
Down
claudin 1
ZNF836
-1.77956
6.7E-06
0.00223
-4.92984
Down
zinc finger protein 836
APBA1
-1.77749
0.002859
0.041537
-3.10878
Down
amyloid beta precursor protein binding family A member 1
C8orf37
-1.77616
0.000155
0.009321
-4.03521
Down
chromosome 8 open reading frame 37
LOC391322
-1.77531
9.16E-06
0.00249
-4.84394
Down
D-dopachrometautomerase-like
SPATA2L
-1.77449
0.002137
0.035219
-3.2077
Down
spermatogenesis associated 2 like
GLIS1
-1.7719
2.07E-05
0.00341
-4.61666
Down
GLIS family zinc finger 1
LOC389765
-1.76734
7.38E-07
0.001025
-5.5224
Down
kinesin family member 27 pseudogene
DENND2C
-1.76558
1.69E-05
0.003137
-4.67437
Down
DENN domain containing 2C
MFAP3L
-1.76481
0.003083
0.042962
-3.08279
Down
microfibril associated protein 3 like
TREML1
-1.76402
5.96E-05
0.005493
-4.31615
Down
triggering receptor expressed on myeloid cells like 1
DNHD1
-1.76398
0.001285
0.027046
-3.37662
Down
dynein heavy chain domain 1
SETD6
-1.75933
5.78E-05
0.005462
-4.32489
Down
SET domain containing 6, protein lysine methyltransferase
TTC34
-1.75712
4.74E-05
0.005
-4.38193
Down
tetratricopeptide repeat domain 34
SARDH
-1.74727
0.000444
0.015767
-3.71564
Down
sarcosine dehydrogenase
ZNF385C
-1.74659
5.06E-06
0.002061
-5.00645
Down
zinc finger protein 385C
NEXN-AS1
-1.74174
0.001791
0.03205
-3.26688
Down
NEXN antisense RNA 1
CDHR3
-1.741
5.08E-05
0.00511
-4.36224
Down
cadherin related family member 3
SPRYD4
-1.7362
0.00381
0.048018
-3.00934
Down
SPRY domain containing 4
ZSCAN25
-1.73514
0.000224
0.011092
-3.92529
Down
zinc finger and SCAN domain containing 25
FAM157C
-1.73405
3.95E-05
0.004552
-4.43393
Down
family with sequence similarity 157 member C
ARSG
-1.73192
0.000264
0.012045
-3.8757
Down
arylsulfatase G
GLI2
-1.72398
8.75E-06
0.002428
-4.85662
Down
GLI family zinc finger 2
NSUN7
-1.72112
0.000383
0.014539
-3.76087
Down
NOP2/Sun RNA methyltransferase family member 7
BMP3
-1.71974
0.00051
0.016932
-3.67185
Down
bone morphogenetic protein 3
PPT2
-1.71813
1.01E-05
0.002625
-4.81647
Down
palmitoyl-protein thioesterase 2
CCNJL
-1.7168
0.00297
0.042241
-3.0957
Down
cyclin J like
C3orf70
-1.71506
1.17E-05
0.002752
-4.77652
Down
chromosome 3 open reading frame 70
FBF1
-1.71426
0.002996
0.042479
-3.09265
Down
Fas binding factor 1
SEC14L2
-1.70866
7.5E-05
0.006105
-4.24929
Down
SEC14 like lipid binding 2
YPEL4
-1.70708
0.000495
0.016631
-3.68141
Down
yippee like 4
PCDH11Y
-1.70054
0.00111
0.025344
-3.42438
Down
protocadherin 11 Y-linked
AFAP1L2
-1.68648
4.19E-05
0.004645
-4.41718
Down
actin filament associated protein 1 like 2
ZNF674-AS1
-1.6796
0.001198
0.026347
-3.39966
Down
ZNF674 antisense RNA 1 (head to head)
KCNQ4
-1.67351
1.12E-05
0.002709
-4.78912
Down
potassium voltage-gated channel subfamily Q member 4
SULT1B1
-1.67126
9.73E-05
0.00709
-4.17312
Down
sulfotransferase family 1B member 1
MORN1
-1.66843
0.000538
0.01724
-3.6552
Down
MORN repeat containing 1
PCDH17
-1.66757
7.41E-05
0.006068
-4.25287
Down
protocadherin 17
FOXP2
-1.66727
0.000941
0.023272
-3.47788
Down
forkhead box P2
XYLB
-1.66722
0.001703
0.031013
-3.28371
Down
xylulokinase
CTNNA3
-1.66694
0.000163
0.009544
-4.02144
Down
catenin alpha 3
NLRP6
-1.66633
0.000524
0.017152
-3.66377
Down
NLR family pyrin domain containing 6
SLC16A13
-1.66401
0.000624
0.018805
-3.60875
Down
solute carrier family 16 member 13
GLI3
-1.6638
0.003245
0.044179
-3.06511
Down
GLI family zinc finger 3
SYNJ2
-1.66358
0.000209
0.010651
-3.94618
Down
synaptojanin 2
C2orf15
-1.6617
0.000283
0.012404
-3.85419
Down
chromosome 2 open reading frame 15
SCIMP
-1.65716
0.002226
0.036099
-3.19403
Down
SLP adaptor and CSK interacting membrane protein
KIR2DL4
-1.6566
0.000227
0.01115
-3.92146
Down
killer cell immunoglobulin like receptor, two Ig domains and long cytoplasmic tail 4
FHL3
-1.65441
0.00305
0.042759
-3.08659
Down
four and a half LIM domains 3
OVGP1
-1.65215
1.12E-06
0.001179
-5.41243
Down
oviductal glycoprotein 1
N4BP3
-1.65201
0.000581
0.017987
-3.63113
Down
NEDD4 binding protein 3
ELOVL7
-1.64755
3.88E-05
0.00453
-4.43907
Down
ELOVL fatty acid elongase 7
ESRG
-1.64744
0.001428
0.028535
-3.34192
Down
embryonic stem cell related
ACTA2-AS1
-1.64552
0.000128
0.008394
-4.09176
Down
ACTA2 antisense RNA 1
CNKSR3
-1.64218
7.19E-05
0.005962
-4.26146
Down
CNKSR family member 3
ZNF347
-1.63729
0.002754
0.040644
-3.12164
Down
zinc finger protein 347
SGMS1-AS1
-1.6362
3.3E-06
0.001776
-5.12249
Down
SGMS1 antisense RNA 1
ZKSCAN2
-1.63535
4.67E-05
0.005
-4.38616
Down
zinc finger with KRAB and SCAN domains 2
AMIGO1
-1.63486
0.000936
0.023198
-3.47947
Down
adhesion molecule with Ig like domain 1
ZC3H10
-1.63262
0.001463
0.028876
-3.33409
Down
zinc finger CCCH-type containing 10
MUC17
-1.62593
0.000109
0.007553
-4.14108
Down
mucin 17, cell surface associated
ZNF559-ZNF177
-1.62399
6.21E-05
0.005556
-4.30427
Down
ZNF559-ZNF177 readthrough
NUTM2D
-1.62355
0.000228
0.011159
-3.92008
Down
NUT family member 2D
ABCB4
-1.62247
3.99E-06
0.001884
-5.07099
Down
ATP binding cassette subfamily B member 4
LOC100652768
-1.61749
0.000307
0.012935
-3.82956
Down
uncharacterized LOC100652768
C8orf58
-1.61509
5.62E-06
0.002118
-4.97786
Down
chromosome 8 open reading frame 58
WRAP73
-1.61325
4.07E-06
0.001884
-5.06554
Down
WD repeat containing, antisense to TP73
SLC24A4
-1.61174
2.06E-05
0.00341
-4.61911
Down
solute carrier family 24 member 4
LENG8-AS1
-1.61071
2.39E-05
0.003497
-4.57709
Down
LENG8 antisense RNA 1
C2orf66
-1.60563
1.03E-05
0.002643
-4.81096
Down
chromosome 2 open reading frame 66
SMIM10L2A
-1.60523
9.09E-05
0.006806
-4.19335
Down
small integral membrane protein 10 like 2A
CYP1B1-AS1
-1.60433
0.000107
0.007513
-4.14419
Down
CYP1B1 antisense RNA 1
CTNND1
-1.60088
0.000109
0.007568
-4.13895
Down
catenin delta 1
ADCY10P1
-1.60028
4.19E-05
0.004645
-4.4176
Down
ADCY10 pseudogene 1
LOC100130298
-1.59936
3.39E-05
0.004196
-4.47779
Down
hCG1816373-like
FLJ42627
-1.59816
0.001285
0.027046
-3.37677
Down
uncharacterized LOC645644
CRISPLD1
-1.59815
0.000698
0.019931
-3.57312
Down
cysteine rich secretory protein LCCL domain containing 1
MESTIT1
-1.59755
1.51E-06
0.001401
-5.33225
Down
MEST intronic transcript 1, antisense RNA
ASPG
-1.59743
0.001369
0.027894
-3.35594
Down
asparaginase
PRICKLE2-AS1
-1.59631
0.000336
0.013596
-3.80182
Down
PRICKLE2 antisense RNA 1
LINC00865
-1.59557
2.66E-05
0.00371
-4.54615
Down
long intergenic non-protein coding RNA 865
LINC01001
-1.59556
1.77E-06
0.001545
-5.29009
Down
long intergenic non-protein coding RNA 1001
GRK4
-1.59417
1.69E-05
0.003137
-4.67411
Down
G protein-coupled receptor kinase 4
ZNF300
-1.59305
5.6E-05
0.005391
-4.33388
Down
zinc finger protein 300
CADM3-AS1
-1.59265
7.19E-05
0.005962
-4.26163
Down
CADM3 antisense RNA 1
SIT1
-1.59069
0.000397
0.014772
-3.75003
Down
signaling threshold regulating transmembrane adaptor 1
LINC01138
-1.59045
0.001479
0.028971
-3.33042
Down
long intergenic non-protein coding RNA 1138
DNAH5
-1.5878
0.000268
0.012109
-3.87093
Down
dynein axonemal heavy chain 5
FAM155B
-1.58584
2.87E-05
0.003871
-4.52525
Down
family with sequence similarity 155 member B
SLC5A4
-1.58234
3.27E-06
0.001776
-5.12479
Down
solute carrier family 5 member 4
ZNF573
-1.58059
6.33E-06
0.002168
-4.94541
Down
zinc finger protein 573
RCAN3
-1.5793
2.89E-05
0.003871
-4.52291
Down
RCAN family member 3
DNAH3
-1.57822
0.000296
0.012696
-3.83989
Down
dynein axonemal heavy chain 3
UBXN10
-1.57771
1.9E-05
0.003343
-4.64092
Down
UBX domain protein 10
CLEC4A
-1.57555
0.003924
0.048741
-2.99895
Down
C-type lectin domain family 4 member A
RFFL
-1.57423
0.000171
0.009664
-4.00626
Down
ring finger and FYVE like domain containing E3 ubiquitin protein ligase
TMEM130
-1.57294
0.000437
0.015643
-3.72015
Down
transmembrane protein 130
KCNMB4
-1.57256
0.003907
0.048656
-3.0005
Down
potassium calcium-activated channel subfamily M regulatory beta subunit 4
LINC00924
-1.57057
0.000165
0.009593
-4.01761
Down
long intergenic non-protein coding RNA 924
EREG
-1.57034
0.000125
0.008283
-4.09939
Down
epiregulin
URAD
-1.56639
0.000704
0.020012
-3.5708
Down
ureidoimidazoline (2-oxo-4-hydroxy-4-carboxy-5-) decarboxylase
SLC22A15
-1.56367
0.000564
0.017736
-3.64079
Down
solute carrier family 22 member 15
ADRA2B
-1.56339
0.000592
0.018192
-3.62512
Down
adrenoceptor alpha 2B
CDH26
-1.56317
0.00033
0.013567
-3.80719
Down
cadherin 26
ZNF596
-1.5628
0.000227
0.01115
-3.92153
Down
zinc finger protein 596
NYAP1
-1.55572
3.9E-05
0.004533
-4.43763
Down
neuronal tyrosine phosphorylated phosphoinositide-3-kinase adaptor 1
SFRP5
-1.55537
0.000468
0.016151
-3.699
Down
secreted frizzled related protein 5
LOC101929574
-1.55461
0.001368
0.027894
-3.35602
Down
uncharacterized LOC101929574
RNF207
-1.54999
7.31E-06
0.002243
-4.90599
Down
ring finger protein 207
NRL
-1.54936
2.58E-05
0.003634
-4.55549
Down
neural retina leucine zipper
ANGPTL6
-1.54763
0.00025
0.011782
-3.89133
Down
angiopoietin like 6
ALOX15
-1.54749
0.000145
0.009003
-4.0563
Down
arachidonate 15-lipoxygenase
CHEK2
-1.54682
0.001992
0.03385
-3.23132
Down
checkpoint kinase 2
ZNF543
-1.54508
0.00303
0.042657
-3.08876
Down
zinc finger protein 543
ZNF717
-1.54439
0.000156
0.009363
-4.03319
Down
zinc finger protein 717
FASLG
-1.54428
0.001265
0.026877
-3.38181
Down
Fas ligand
LILRA3
-1.5435
1.84E-05
0.003308
-4.65038
Down
leukocyte immunoglobulin like receptor A3
NEK10
-1.54346
0.00012
0.008053
-4.11146
Down
NIMA related kinase 10
MIR1914
-1.543
0.000489
0.016519
-3.68532
Down
microRNA 1914
BATF3
-1.54097
0.000518
0.017057
-3.667
Down
basic leucine zipper ATF-like transcription factor 3
AVIL
-1.54065
0.000332
0.013573
-3.80487
Down
advillin
KLK10
-1.54034
7.07E-05
0.005956
-4.26664
Down
kallikrein related peptidase 10
ZNF689
-1.53954
0.003253
0.04422
-3.06429
Down
zinc finger protein 689
MKLN1-AS
-1.53911
0.00209
0.0347
-3.2153
Down
MKLN1 antisense RNA
LOC100128398
-1.53652
0.002092
0.034722
-3.21487
Down
uncharacterized LOC100128398
LRP1-AS
-1.53646
4.89E-05
0.005015
-4.37323
Down
LRP1 antisense RNA
NPIPA1
-1.5363
0.003113
0.043191
-3.07949
Down
nuclear pore complex interacting protein family member A1
NLRP2
-1.53625
0.00031
0.012977
-3.82661
Down
NLR family pyrin domain containing 2
MMEL1
-1.5346
0.000336
0.013596
-3.80163
Down
membrane metalloendopeptidase like 1
SPDYE5
-1.53457
0.000116
0.007921
-4.12051
Down
speedy/RINGO cell cycle regulator family member E5
CCL28
-1.5342
5.69E-05
0.005435
-4.32942
Down
C-C motif chemokine ligand 28
KLHDC1
-1.53297
0.000501
0.016732
-3.67754
Down
kelch domain containing 1
FRMPD1
-1.53279
4.28E-05
0.004701
-4.41134
Down
FERM and PDZ domain containing 1
LINC00211
-1.53271
0.00019
0.010241
-3.97414
Down
long intergenic non-protein coding RNA 211
ATP6V1G2
-1.53264
0.000799
0.021227
-3.53045
Down
ATPase H+ transporting V1 subunit G2
PRIMA1
-1.53113
0.000786
0.021056
-3.53546
Down
proline rich membrane anchor 1
NPTX1
-1.52859
0.000253
0.011808
-3.88811
Down
neuronal pentraxin 1
LOC101928107
-1.5272
0.0003
0.012783
-3.83612
Down
uncharacterized LOC101928107
GFRA3
-1.5245
8.59E-06
0.002428
-4.86161
Down
GDNF family receptor alpha 3
LOC101929595
-1.51972
1.12E-05
0.002709
-4.78841
Down
uncharacterized LOC101929595
FLJ37453
-1.51859
7.55E-06
0.002243
-4.8971
Down
uncharacterized LOC729614
MACC1
-1.51799
0.000573
0.017831
-3.6354
Down
MET transcriptional regulator MACC1
LINC00607
-1.51637
2.68E-05
0.00371
-4.5447
Down
long intergenic non-protein coding RNA 607
FAM86B1
-1.5153
0.000332
0.013573
-3.80528
Down
family with sequence similarity 86 member B1
MIR4477B
-1.51191
2.05E-05
0.00341
-4.62019
Down
microRNA 4477b
CNNM2
-1.50798
0.001668
0.03072
-3.29062
Down
cyclin and CBS domain divalent metal cation transport mediator 2
SKA1
-1.50659
0.00086
0.02226
-3.50665
Down
spindle and kinetochore associated complex subunit 1
ABRACL
-1.50603
0.001136
0.025784
-3.41701
Down
ABRA C-terminal like
LINC00954
-1.50484
0.000652
0.019135
-3.59472
Down
long intergenic non-protein coding RNA 954
ZBP1
-1.50412
0.002141
0.035221
-3.20719
Down
Z-DNA binding protein 1
ZNF528
-1.50042
0.000464
0.016097
-3.70168
Down
zinc finger protein 528
ACTG1P4
-1.50023
0.000252
0.011803
-3.88932
Down
actin gamma 1 pseudogene 4
MYO10
-1.50014
0.003103
0.043113
-3.08058
Down
myosin X

GO and pathway enrichment of DEGs in PCOS

The top 739 DEGs were chosen to perform GO and REACTOME pathway enrichment analyses. Gene Ontology (GO) analysis identified that the DEGs were significantly enriched in BP, including the peptide metabolic process, intracellular protein transport, plasma membrane bounded cell projection organization and cell morphogenesis (Table 3). In terms of CC, DEGs were mainly enriched in organelle envelope, catalytic complex, neuron projection and cell junction were the most significantly enriched GO term (Table 3). In addition, MF demonstrated that the DEGs were enriched in the RNA binding, transcription factor binding, DNA-binding transcription factor activity, RNA polymerase II-specific and ATP binding (Table 3). REACTOME pathway enrichment analysis was used to screen the signaling pathways for differential genes. These DEGs were mainly involved in the translation, respiratory electron transport, generic transcription pathway and transmembrane transport of small molecules (Table 4).
Table 3
The enriched GO terms of the up and down regulated differentially expressed genes
GO ID
CATEGORY
GO Name
P Value
FDR B&H
FDR B&Y
Bonferroni
Gene Count
Gene
Up regulated genes
GO:0006518
BP
peptide metabolic process
1.51E-13
2.66E-11
2.37E-10
6.37E-10
52
RPL24,RPL27,RPL30,RPL29,RPL34,RPL35A,RPL36A,RPLP0,MRPL12,MRPS12,RPS5,RPS8,ETF1,RPS10,EIF3E,RPS15,RPS15A,SRP72,RPS20,RPS21,RPS23,RPS24,RPS29,EIF6,EIF3L,MRPS21,MRPL24,MRPL20,COA3,RBM3,TRMT112,MRPL54,CPE,RPL14,RPS27L,EIF2D,DPH5,EIF1AX,ATP6AP2,ZNF706,SEC11A,MRPS24,UHMK1,EIF5,MRPS15,MRPS6,MRPS34,LSM14A,RPL35,RPL13A,MRPL9,RSL24D1
GO:0006886
BP
intracellular protein transport
6.75E-12
8.16E-10
7.28E-09
2.86E-08
66
GIPC1,SNAPIN,RPL24,TCTN3,RPL27,RPL30,RPL29,RPL34,ROMO1,RPL35A,RPL36A,RPLP0,RPS5,RPS8,RPS10,RPS15,RPS15A,PHB2,SRP72,RPS20,HMGCL,RPS21,RPS23,RPS24,RPS29,ARFIP2,TOMM5,EIF6,RAB10,ATP6V1D,SNX8,PEX19,AGFG1,PEX2,ZFAND6,RABGEF1,SNX9,RAB4A,PMM1,TOMM7,SRSF6,ANP32B,RPAIN,TNPO2,DERL2,FIS1,RPL14,APOD,ECH1,IFI27,YWHAH,TMED4,ARF5,NDUFA13,EXOC5,EIF2D,UBL5,TIMM8B,ICMT,UHMK1,DYNLL2,VPS28,RPL35,SYVN1,RPL13A,STX10
GO:0031967
CC
organelle envelope
2.36E-19
1.71E-17
1.20E-16
1.47E-16
72
ROMO1,PRELID1,MRPL12,MRPS12,PET100,BAK1,PHB2,LRRC59,HMGCL,GCHFR,COA4,NDUFA2,SLC25A26,BLOC1S1,ECSIT,SUCLG1,NDUFB2,TOMM5,NDUFC2,BANF1,MOAP1,NDUFS4,NDUFS5,PHB,BNIP3,PI4KB,FDX1,MRPS21,AGFG1,SLC25A11,TMEM97,UQCRC1,UQCRFS1,UQCRH,UQCR11,NME2,MRPL24,CERS2,MRPL20,TOMM7,COA3,COX4I1,COX5B,DTYMK,ANXA4,COX6A1,NDUFAF3,COX6B1,MRPL54,COX6C,COX7A2,COX7C,COX8A,FIS1,IFI27,MAD2L1BP,CCND2,NDUFA13,CYB5B,TMEM256,TIMM8B,AIFM1,MRPS24,MRPS15,CHCHD2,MRPS6,MRPS34,COX7A2L,UQCRQ,HSD17B10,MTDH,MRPL9
GO:1902494
CC
catalytic complex
1.31E-12
5.84E-11
4.09E-10
8.17E-10
67
PRPF31,DCAF6,ERH,SAP18,OST4,PSMB1,PSMB4,ETFB,PSMB7,PSMC5,PSMD3,PSMD10,NDUFA2,EZH1,SUCLG1,NDUFB2,NDUFC2,NDUFS4,NDUFS5,LSM3,CKS1B,TSPAN17,SLC9A3R1,UBE2E1,RBMX,MORF4L1,PEX2,AK1,PRMT1,UQCRC1,UQCRFS1,UQCRH,TAF7,ANAPC5,TADA3,ANAPC13,RBX1,CUL4A,POLR3GL,RBBP7,PIGS,POLR2J,POLR2K,DERL2,BCCIP,POLE4,NAA38,CCNC,CCND2,RMRP,NDUFA13,POLR1D,GTF2A2,ORMDL1,SEC11A,SF3B6,DYNLL2,SMARCD2,UQCRQ,HSD17B10,KLHL12,SYVN1,CDC27,PSMD14,SNRPD2,RPPH1,KRTCAP2
GO:0003723
MF
RNA binding
1.66E-10
4.49E-08
3.30E-07
1.45E-07
76
RPL24,PRPF31,RPL27,RPL30,RPL29,RPL34,RPL35A,RPL36A,ERH,RPLP0,MRPL12,MRPS12,SAP18,RSL1D1,RPS5,RPS8,ETF1,RPS10,EIF3E,RPS15,RPS15A,SRP72,RPS20,LRRC59,RPS21,RPS23,RPS24,SUCLG1,EIF6,LSM3,RBMX,EIF3L,MRPS21,NQO1,AGFG1,LSM4,PRMT1,SLC25A11,TBCA,MRPL20,NUDT16,SRSF6,S100A16,GLRX3,RBBP7,RBM3,MRPL54,NELFB,BCCIP,RDX,RPL14,C7orf50,XRCC5,SERPINH1,RPS27L,EIF2D,GTF3A,FAM32A,EIF1AX,SBDS,SF3B6,MRPS24,UHMK1,EIF5,MRPS15,SLTM,MRPS6,LSM14A,HSD17B10,RPL35,RPL13A,SNRPD2,MTDH,MRPL9,SF3B5,RSL24D1
GO:0008134
MF
transcription factor binding
1.05E-02
1.83E-01
1.00E+00
1.00E+00
23
NAB1,PHB2,PSMC5,FAM89B,NBN,PSMD10,MDFI,TAF7,SETD3,TADA3,RBX1,WIPI1,ANXA4,TEAD3,IFI27,YWHAH,GTF2A2,MED4,ICMT,CHCHD2,HSD17B10,MTDH,TRIB1
Down regulated genes
GO:0120036
BP
plasma membrane bounded cell projection organization
7.28E-05
2.19E-02
1.94E-01
2.91E-01
49
EPHB4,STK36,MAK,SPAST,ZFYVE27,TTLL3,MYO7A,MYO10,SDCCAG8,SPTB,SARM1,RAP1GAP2,NPHP4,GFRA3,AMIGO1,HECW2,GLI2,GLI3,SYNE2,WRAP73,NGFR,NTN1,NLGN2,FGFR3,PLD1,CEP126,NYAP1,DNAH5,UBXN10,PLXNB3,SEMA6B,FAT4,NPTX1,NEDD4L,STXBP5,FBF1,LAMA5,RFFL,ODF2,FAS,RFX3,ATL1,TRAK1,WDR19,FEZ1,AVIL,CEP135,IFT122,EPHA4
GO:0000902
BP
cell morphogenesis
3.10E-03
1.93E-01
1.00E+00
1.00E+00
31
EPHB4,CDH26,SPAST,ZFYVE27,MYO7A,MYO10,CDHR3,SPTB,SARM1,GFRA3,AMIGO1,HECW2,GLI2,GLI3,NGFR,NTN1,FGFR3,NYAP1,PLXNB3,SEMA6B,NPTX1,NEDD4L,STXBP5,LAMA5,CDH19,ATL1,TRAK1,WDR19,FEZ1,C8orf37,EPHA4
GO:0043005
CC
neuron projection
3.65E-05
7.26E-03
5.00E-02
2.00E-02
46
EPHB4,MAK,PDE4B,SNPH,SPAST,ZFYVE27,MYO7A,MYO10,ESR1,SDCCAG8,SARM1,RAP1GAP2,N4BP3,NPHP4,SNAP47,TIAM2,AMIGO1,KCNC1,PTPRN2,SYNJ2,NGFR,NLGN2,BSN,NPTX1,CALCR,PLXDC1,STXBP5,ERO1A,GRK4,AAK1,APBA1,KLC2,VTI1A,FAS,ATL1,TRAK1,WDR19,SHISA9,FEZ1,KCNQ4,AVIL,UNC13C,IFT122,CTNND1,EPHA4,GABRA4
GO:0030054
CC
cell junction
3.04E-03
8.34E-02
5.74E-01
1.00E+00
34
CDH26,SNPH,CDHR3,SDCCAG8,SARM1,OBSCN,NPHP4,ABCB4,ARHGAP22,RASIP1,PTPRN2,SYNE2,LPXN,NGFR,NLGN2,FGFR3,BSN,FHL3,CDC42BPA,PLXDC1,STXBP5,FBF1,LCK,CDH19,CLDN1,PRIMA1,SHISA9,LMO7,CTNNA3,UNC13C,C8orf37,CTNND1,EPHA4,GABRA4
GO:0000981
MF
DNA-binding transcription factor activity, RNA polymerase II-specific
9.75E-04
3.67E-01
1.00E+00
7.35E-01
43
ZNF717,ZXDC,HIVEP1,ERG,ZNF154,ESR1,ZSCAN25,ARNTL2,ZNF836,ZNF469,ZNF547,GLI2,GLI3,ZNF347,ZNF778,BATF3,TET3,ZNF687,ZNF114,MACC1,ZNF555,ZNF493,FOXP2,NRL,ZNF596,ZNF689,ZNF300,ZKSCAN2,RFX3,ZNF496,IKZF4,RLF,KAT7,DMRT2,ZNF334,MTF1,ZKSCAN3,ZNF559-ZNF177,ZNF69,ZNF528,ZNF543,GLIS1,ZNF124
GO:0005524
MF
ATP binding
2.83E-02
4.14E-01
1.00E+00
1.00E+00
34
EPHB4,PRPS2,STK36,MAK,CNNM2,SPAST,TTLL3,MYO7A,MYO10,NEK10,OBSCN,PFAS,TOR4A,ABCB4,FGFR3,XYLB,DNAH5,DNHD1,ATP13A4,DNAH3,CDC42BPA,ATP13A1,GRK4,MAP 3K14,AAK1,ABCC5,LCK,NLRP2,NLRP6,TRIB3,CHEK2,ERCC6L2,MAST3,EPHA4
BP Biological Process, CC Cellular Component and MF Molecular Functions
Table 4
The enriched pathway terms of the up and down regulated differentially expressed genes
Pathway ID
Pathway Name
P-value
FDR B&H
FDR B&Y
Bonferroni
Gene Count
Geness
Up regulated genes
1268678
Translation
8.83E-20
4.54E-17
3.26E-16
6.54E-17
30
RPL24,RPL27,RPL30,RPL29,RPL34,RPL35A,RPL36A,RPLP0,RPS5,RPS8,ETF1,RPS10,EIF3E,RPS15,RPS15A,SRP72,RPS20,RPS21,RPS23,RPS24,RPS29,EIF3L,TRMT112,RPL14,RPS27L,EIF1AX,SEC11A,EIF5,RPL35,RPL13A
1270128
Respiratory electron transport
2.39E-16
1.27E-14
9.10E-14
1.77E-13
22
ETFB,NDUFA2,ECSIT,NDUFB2,NDUFC2,NDUFS4,NDUFS5,UQCRC1,UQCRFS1,UQCRH,UQCR11,COX4I1,COX5B,COX6A1,NDUFAF3,COX6B1,COX6C,COX7C,COX8A,NDUFA13,COX7A2L,UQCRQ
1268677
Metabolism of proteins
6.29E-10
1.46E-08
1.05E-07
4.66E-07
72
B4GALT2,RPL24,RPL27,RPL30,RPL29,UAP1,RPL34,RPL35A,RPL36A,RPLP0,RPS5,PSMB1,RPS8,ETF1,RPS10,PSMB4,ETFB,EIF3E,PSMB7,RPS15,RPS15A,PSMC5,SRP72,PSMD3,RPS20,PFDN1,RPS21,RPS23,PFDN5,PSMD10,RPS24,COA4,RPS29,TOMM5,GFPT1,NEDD8,RAB10,SAA1,UBE2E1,UCHL1,EIF3L,TADA3,RAB4A,TBCA,PMM1,TOMM7,WIPI1,TRMT112,TNIP2,PIGS,AMDHD2,USP24,DERL2,CPE,RPL14,RPS27L,ARF5,EXOC5,TIMM8B,DPH5,ICMT,EIF1AX,ATP6AP2,SEC11A,DYNLL2,EIF5,CHCHD2,SUMO3,RPL35,SYVN1,RPL13A,PSMD14
1269649
Gene Expression
1.72E-09
3.85E-08
2.77E-07
1.27E-06
77
CDKN2B,RPL24,PRPF31,RPL27,RPL30,RPL29,RPL34,RPL35A,RPL36A,PRELID1,TMEM219,RPLP0,SAP18,RPS5,PSMB1,RPS8,ETF1,RPS10,PSMB4,EIF3E,PSMB7,RPS15,RPS15A,PSMC5,NBN,SRP72,PSMD3,RPS20,RPS21,RPS23,PSMD10,RPS24,RPS29,LSM3,RBMX,EIF3L,NABP2,LSM4,PRMT1,TAF7,SRSF6,POLR3GL,RBBP7,COX4I1,TRMT112,COX5B,COX6A1,COX6B1,POLR2J,POLR2K,NELFB,COX6C,COX7C,COX8A,RPL14,TEAD3,SKIL,YWHAH,RPS27L,CCNC,POLR1D,GTF2A2,MED4,GTF3A,LAMTOR4,EIF1AX,ZNF706,SEC11A,SF3B6,EIF5,COX7A2L,HSD17B10,RPL35,RPL13A,PSMD14,SNRPD2,SF3B5
1269852
Autodegradation of Cdh1 by Cdh1:APC/C
1.22E-06
2.58E-05
1.86E-04
9.04E-04
10
PSMB1,PSMB4,PSMB7,PSMC5,PSMD3,PSMD10,UBE2E1,ANAPC5,CDC27,PSMD14
1268843
Mitochondrial translation initiation
2.55E-06
4.96E-05
3.57E-04
1.89E-03
11
MRPL12,MRPS12,MRPS21,MRPL24,MRPL20,MRPL54,MRPS24,MRPS15,MRPS6,MRPS34,MRPL9
Down regulated genes
1269650
Generic Transcription Pathway
1.96E-04
1.10E-01
7.63E-01
1.10E-01
29
ZNF717,ZNF486,ZNF154,ESR1,ZSCAN25,MEN1,ZNF547,BANP,ZNF347,ZNF778,TAF4B,ZNF114,ZNF573,ZNF555,ZNF493,NEDD4L,ZNF596,ZNF689,ZNF300,RFFL,FAS,ZNF496,ZNF334,ZKSCAN3,CHEK2,ZNF528,ZNF543,TOP3A,ZNF124
1269903
Transmembrane transport of small molecules
2.80E-02
7.66E-01
1.00E+00
1.00E+00
18
ATP6V1G2,SLC22A15,SLCO4A1,ASIC3,ABCB4,SLC24A4,SLC44A5,SCNN1D,SLC9A7,ATP13A4,NEDD4L,ATP13A1,ABCC5,SLC1A7,SLC5A4,SLC30A7,NDC1,GABRA4
1268846
Cilium Assembly
3.71E-02
7.66E-01
1.00E+00
1.00E+00
7
SDCCAG8,NPHP4,FBF1,ODF2,WDR19,CEP135,IFT122
1269957
Metabolism of carbohydrates
1.11E-01
7.66E-01
1.00E+00
1.00E+00
8
PRPS2,CHST14,XYLB,MGAM,ABCC5,SLC5A4,NDC1,SLC25A13
1269443
Signalling by NGF
1.63E-01
7.66E-01
1.00E+00
1.00E+00
11
EREG,SPTB,OBSCN,KBTBD7,GFRA3,TIAM2,NGFR,FGFR3,BCL2L11,LCK,TRIB3
1269171
Adaptive Immune System
1.86E-01
7.66E-01
1.00E+00
1.00E+00
17
EREG,LRSAM1,HLA-H,RAP1GAP2,KBTBD7,SLAMF6,HECW2,FGFR3,KIR2DL4,TREML1,LILRA3,NEDD4L,MAP 3K14,KLC2,LCK,TRIB3,LMO7

PPI networks construction and module Analysis

Following the analysis based on the PPI networks, 4141 nodes and 14853 edges were identified in Cytoscape (Fig. 3a). The genes with higher scores were the hub genes, as the genes of node degree, betweenness centrality, stress centrality, closeness centrality may be linked with PCOS. The top 10 hub genes were SAA1, ADCY6, POLR2K, RPS15, RPS15A, ESR1, LCK, S1PR5, CCL28 and CTNND1 and are listed in Table 5. Enrichment analysis demonstrated that module 1 (Fig. 3b) and module 2 (Fig. 3c) might be associated with respiratory electron transport, organelle envelope, catalytic complex, gene expression, signaling by NGF and neuron projection.
Table 5
Topology table for up and down regulated genes
Regulation
Node
Degree
Betweenness
Stress
Closeness
Up
SAA1
315
0.10107
69407430
0.321603
Up
ADCY6
312
0.072777
44726506
0.302897
Up
POLR2K
236
0.037471
28379862
0.302013
Up
RPS15
212
0.008152
26431684
0.308863
Up
RPS15A
211
0.007809
26602340
0.309741
Up
RPS5
209
0.007859
26492428
0.309463
Up
RPL13A
207
0.007846
22124842
0.309533
Up
RPS23
205
0.005989
23951504
0.308794
Up
RPLP0
205
0.00818
22450450
0.310438
Up
RPL35
203
0.006165
21837168
0.309417
Up
RPS20
202
0.005559
24073032
0.308564
Up
RPS29
198
0.004498
20672292
0.308426
Up
RBX1
197
0.044386
26711280
0.318217
Up
POLR2J
192
0.020679
20252592
0.293659
Up
RPL30
187
0.006891
19563996
0.308265
Up
RPS8
177
0.004042
18164736
0.30678
Up
RPL35A
174
0.003759
16445648
0.30783
Up
RPS24
174
0.003192
15939464
0.304838
Up
RPL24
173
0.003533
16772430
0.306803
Up
C3AR1
172
0.003177
5121210
0.274955
Up
RPL34
172
0.004039
16061864
0.30719
Up
RPL29
171
0.00494
18453558
0.307647
Up
RPS21
170
0.002685
15196960
0.304636
Up
SNRPD2
168
0.03814
33998368
0.309486
Up
RPS10
164
0.002949
14807414
0.306055
Up
RPL14
163
0.00328
15070824
0.306826
Up
RPL27
160
0.002277
14404254
0.305716
Up
PSMC5
145
0.016771
20051716
0.327066
Up
PSMD14
138
0.008797
20693344
0.312311
Up
RBBP7
136
0.039699
19307334
0.314733
Up
PSMD3
132
0.006138
19507196
0.312264
Up
SRSF6
130
0.01551
18603044
0.305242
Up
PSMB4
128
0.006024
19460760
0.31217
Up
PSMB1
126
0.005935
19159108
0.312736
Up
PSMD10
125
0.006564
19293068
0.313162
Up
PSMB7
121
0.004879
18406276
0.311911
Up
CDC27
121
0.014082
17205180
0.314709
Up
PLCG2
119
0.031441
10514426
0.284595
Up
UBE2E1
111
0.01698
18575766
0.315597
Up
MRPL24
111
0.004006
3985902
0.27419
Up
SEC11A
107
0.005316
8457436
0.302168
Up
EIF3E
105
0.00271
6755804
0.298099
Up
EIF1AX
105
0.00175
6248608
0.298099
Up
ETF1
104
0.003209
7817310
0.300348
Up
SF3B5
104
0.003133
6307886
0.271298
Up
EIF5
103
0.002157
5951468
0.298056
Up
MRPS12
103
0.001566
3803642
0.27381
Up
RPS27L
103
0.003987
8037762
0.3043
Up
RBMX
102
0.006533
8629778
0.302543
Up
SF3B6
101
0.007747
10034416
0.30272
Up
RPL36A
101
0.001189
3109720
0.271102
Up
RSL24D1
100
0.010421
6175826
0.267684
Up
ANAPC5
100
0.005802
14180882
0.312854
Up
ITGAV
98
0.047765
36204220
0.313518
Up
SRP72
98
0.001539
6042806
0.299696
Up
NME2
94
0.034644
15645818
0.312029
Up
YWHAH
93
0.030402
22230232
0.316369
Up
MRPS15
86
0.001926
2385992
0.260394
Up
UQCRQ
83
0.003421
1615130
0.240866
Up
CCNC
83
0.010303
8511008
0.281231
Up
UQCRC1
82
0.02328
14231790
0.289875
Up
MED4
80
0.018252
17775072
0.301683
Up
UQCRFS1
78
0.001699
1157234
0.244233
Up
CCND2
77
0.023553
14830028
0.314399
Up
MRPL12
77
0.002782
2194820
0.259789
Up
POLR1D
75
0.0061
4678140
0.274081
Up
UQCRH
72
0.001221
959168
0.244147
Up
KLHL12
68
0.003828
3608276
0.303719
Up
SLC9A3R1
63
0.021981
10906810
0.303987
Up
XRCC5
63
0.016826
12450448
0.298895
Up
EIF6
62
0.005109
3166876
0.251672
Up
GTF3A
61
0.016181
6249890
0.308426
Up
MRPS6
60
6.26E-04
932952
0.249563
Up
PLA2G2A
59
0.016536
3353206
0.267442
Up
NDUFC2
58
0.009137
6243750
0.288562
Up
TAF7
58
0.008456
6200048
0.248053
Up
NDUFA13
58
0.010438
6851160
0.289086
Up
TSG101
57
0.016521
11031600
0.306145
Up
SAP18
57
0.012307
5315482
0.302256
Up
NDUFS4
56
0.001242
656204
0.239889
Up
SMAD5
56
0.020424
14462992
0.296201
Up
RSL1D1
56
0.011475
16770568
0.229134
Up
NDUFA2
54
7.42E-04
556554
0.239861
Up
NBN
54
0.015436
11207188
0.30323
Up
NEDD8
53
0.011483
3600034
0.320831
Up
PRMT1
52
0.012592
15575898
0.301332
Up
MORF4L1
51
0.010667
4279006
0.296795
Up
CUL4A
50
0.007675
2678820
0.299544
Up
LAMA2
49
0.007709
8570206
0.278844
Up
COX6A1
48
0.001525
801088
0.240334
Up
AK1
46
0.003174
1615960
0.250894
Up
COX5B
42
0.001215
595708
0.239861
Up
TADA3
40
0.010349
2368830
0.281307
Up
SUMO3
40
0.011044
5466788
0.300348
Up
CDKN2B
36
0.006521
2033654
0.280983
Up
SERPINH1
36
0.01212
7196482
0.29909
Up
MRPL20
34
0.002069
1471944
0.293201
Up
COMT
34
0.015004
4152910
0.286109
Up
LSM4
34
0.007332
2056240
0.254456
Up
EXOC5
33
0.00443
1785404
0.263041
Up
SYVN1
32
0.012143
5434366
0.291078
Up
BAK1
31
0.006508
1183542
0.267425
Up
RAB10
30
0.008921
6109230
0.296328
Up
PFDN5
29
0.010966
3969486
0.290567
Up
SCARB1
28
0.010079
5204710
0.299544
Up
COX6C
27
4.36E-04
219006
0.232011
Up
COX4I1
26
6.32E-04
186792
0.232493
Up
EZH1
26
0.001591
543666
0.245377
Up
SUCLG1
26
0.008369
8540110
0.200727
Up
OXCT1
25
0.007475
2818178
0.199778
Up
PHB
24
0.005122
2747910
0.293388
Up
BANF1
20
0.005143
1975740
0.295651
Up
BCCIP
20
0.003654
1838164
0.269444
Up
RDX
18
0.004798
4656272
0.29563
Up
CFL2
15
0.005519
1602836
0.286624
Up
ARF5
12
0.004972
1234824
0.284419
Up
UCHL1
12
0.001629
954606
0.29618
Up
PFN2
11
0.003745
1598036
0.28734
Up
NDUFB2
8
0
0
0.225404
Up
COX6B1
8
0
0
0.225073
Up
COX7A2L
8
0
0
0.225073
Up
COX7C
8
0
0
0.225073
Up
PRPF31
8
1.73E-04
119394
0.213127
Up
COX8A
8
0
0
0.225073
Up
NDUFS5
8
0
0
0.225404
Up
PHB2
8
0.001363
712242
0.308449
Up
ETFB
4
0
0
0.224963
Up
NELFB
3
2.95E-04
570978
0.27419
Up
CKS1B
3
6.28E-06
1544
0.254284
Up
ANAPC13
3
0
0
0.245741
Up
GTF2A2
3
0
0
0.236342
Up
POLE4
3
2.39E-04
114402
0.254863
Up
TYROBP
2
0
0
0.248948
Up
DCAF6
2
0
0
0.241724
Up
SKIL
2
0
0
0.239764
Up
S100A16
2
0
0
0.172622
Up
HMGCL
2
0
0
0.172622
Up
ARHGAP12
2
7.30E-07
10130
0.210056
Up
STX10
2
0
0
0.222748
Up
UQCR11
2
0
0
0.194129
Up
GADD45B
1
0
0
0.188748
Up
PFDN1
1
0
0
0.225159
Up
CDIPT
1
0
0
0.221556
Up
TOMM7
1
0
0
0.211009
Up
MRPS24
1
0
0
0.206607
Up
SBDS
1
0
0
0.201078
Up
COPS7A
1
0
0
0.230512
Up
DERL2
1
0
0
0.225466
Up
DTYMK
1
0
0
0.237835
Up
NDFIP1
1
0
0
0.237726
Up
BTF3L4
1
0
0
0.213292
Up
AFAP1L1
1
0
0
0.195053
Up
ATP6V1D
1
0
0
0.235992
Up
LSM3
1
0
0
0.202852
Up
ARFIP2
1
0
0
0.22145
Up
F13A1
1
0
0
0.201558
Up
ABI3BP
1
0
0
0.18668
Up
NDUFAF3
1
0
0
0.193485
Up
APOD
1
0
0
0.201401
Up
UBL5
1
0
0
0.242915
Up
MFAP5
1
0
0
0.160727
Up
RAB4A
1
0
0
0.234402
Up
SNAPIN
1
0
0
0.232493
Up
UROS
1
0
0
0.212264
Up
PLTP
1
0
0
0.201401
Up
VPS28
1
0
0
0.234402
Up
EIF3L
1
0
0
0.229656
Up
NUDT16
1
0
0
0.237835
Up
BLOC1S1
1
0
0
0.256919
Down
ESR1
250
0.13227
1.07E+08
0.34572
Down
LCK
209
0.099202
95979964
0.328259
Down
S1PR5
174
0.006652
8092966
0.28169
Down
CCL28
174
0.003314
5208440
0.274992
Down
CTNND1
106
0.042469
42968374
0.310275
Down
KNTC1
101
0.02909
80024314
0.25565
Down
NGFR
100
0.036602
63182380
0.318388
Down
TIAM2
95
0.021154
62011932
0.265317
Down
OBSCN
86
0.010365
36096562
0.247534
Down
PLD1
73
0.033394
17246708
0.30421
Down
CALCR
71
0.002592
2172836
0.25466
Down
PTGDR
70
0.002067
1966748
0.255524
Down
FASLG
69
0.019813
7248566
0.301244
Down
NEDD4L
68
0.023391
18526624
0.311841
Down
GLI3
68
0.017183
7308126
0.2879
Down
CEP135
65
0.013666
21907982
0.267857
Down
SDCCAG8
65
0.013666
21907982
0.267857
Down
ARHGAP39
61
0.006186
28702190
0.252655
Down
TNKS
60
0.004206
3754360
0.297842
Down
CHEK2
60
0.016237
7288936
0.307601
Down
GLI2
58
0.012509
5073890
0.282922
Down
ENTPD5
57
0.005964
2743528
0.250015
Down
FAM13B
56
0.004818
23506158
0.251122
Down
ARHGAP22
56
0.004818
23506158
0.251122
Down
LAMA5
52
0.00723
12112106
0.258896
Down
SYNJ2
52
0.010084
13175450
0.253879
Down
BCL2L11
52
0.016836
10636772
0.313969
Down
ALOX15
49
0.008753
5227944
0.244161
Down
FGFR3
49
0.011331
25238840
0.255587
Down
GEMIN5
47
0.001525
2623902
0.254973
Down
FAS
47
0.009545
4674560
0.293347
Down
PDE4B
46
0.005717
3857072
0.252024
Down
KCNC1
45
0.011352
17732982
0.215233
Down
TAF4B
45
0.004747
2685668
0.266101
Down
TOP3A
45
0.011616
46078906
0.231272
Down
TTF1
43
0.001327
799808
0.270889
Down
KCNQ4
42
0.027528
31515762
0.226874
Down
MUC17
42
0.019711
25257640
0.157086
Down
NTN1
40
0.012007
10110832
0.266152
Down
COL8A1
38
0.013121
17046748
0.212558
Down
MMRN1
38
0.011827
11815884
0.252424
Down
EPHA4
38
0.003668
1364992
0.273358
Down
MEN1
35
0.006804
6211974
0.272297
Down
GOSR1
34
0.008526
3939382
0.285714
Down
SKA1
32
0.002897
9913724
0.243129
Down
VTI1A
31
0.007925
4181998
0.286386
Down
SYNE2
30
0.007519
9249888
0.228212
Down
ITIH4
26
0.007262
1264158
0.272297
Down
LCAT
26
0.005782
971078
0.252178
Down
TRIB3
24
0.002492
6242350
0.248261
Down
TRAF5
24
0.00684
5476244
0.212395
Down
DNAH3
24
0.007222
8565654
0.215524
Down
PFAS
24
0.014988
8957870
0.288321
Down
SNPH
24
0.00801
15545944
0.224536
Down
GADD45G
20
0.003326
13947820
0.23265
Down
SFRP5
20
0.006774
5015824
0.211927
Down
SPTB
20
0.0063
11636704
0.233978
Down
KAT7
18
0.003392
3121342
0.235683
Down
EPHB4
18
0.001434
905566
0.260034
Down
DNAH5
17
0.002849
3119232
0.205745
Down
HIVEP1
17
0.005211
11367638
0.232859
Down
DNAJC18
16
0.004758
4513144
0.228489
Down
SCNN1D
16
0.001683
759732
0.291057
Down
ZBP1
16
0.0032
6672792
0.233555
Down
RAP1GAP2
15
0.003133
3581154
0.225872
Down
SARDH
15
0.005309
5233702
0.183926
Down
PRPS2
15
0.006081
1607396
0.285281
Down
MYO10
15
0.004221
1310316
0.235723
Down
ABCB4
14
5.59E-04
1308566
0.227248
Down
SPN
13
0.003074
2890384
0.244522
Down
ERO1A
13
0.004612
1425588
0.287161
Down
LPXN
13
0.002728
4156340
0.242304
Down
CD82
12
0.001605
269660
0.279107
Down
CFP
12
0.004063
2388686
0.220588
Down
CDC20B
12
7.24E-04
204270
0.243429
Down
EREG
11
0.00292
4060738
0.221568
Down
GABRA4
11
0.004826
844010
0.188362
Down
STK36
10
5.16E-06
1410
0.231582
Down
CLDN1
10
0.002949
1746194
0.196311
Down
SCAF4
10
0.003013
2202372
0.198039
Down
MFAP3
9
0.003861
3290616
0.191498
Down
PPT2
9
0.003141
1767236
0.210548
Down
NPHP4
9
0.003191
1398268
0.215199
Down
ABI3
8
0.001847
2267982
0.229515
Down
BATF3
8
6.07E-04
393104
0.226291
Down
KLC2
8
0.00245
1875364
0.222485
Down
GRK4
8
5.59E-04
417560
0.222533
Down
ARNTL2
7
0.001968
1639758
0.209684
Down
PPP1R3B
7
0.002897
1494078
0.211732
Down
IFT122
7
0.001127
614274
0.187492
Down
AHSP
7
0.002414
2877402
0.186226
Down
ASIC3
7
0.001895
501964
0.235361
Down
WDR19
7
0.001287
982818
0.187492
Down
MGAM
7
0.002455
406020
0.181388
Down
STXBP5
6
0.00108
832104
0.196993
Down
SLC30A7
6
0.002041
1162028
0.211776
Down
NRL
6
0.001496
1056416
0.226267
Down
KCNMB4
5
0.001932
644596
0.189223
Down
SPAST
5
0.001932
3015012
0.17458
Down
MTF1
5
8.87E-04
1194192
0.226862
Down
FOXP2
5
0.001059
361276
0.219804
Down
IWS1
4
4.91E-04
486888
0.21999
Down
LRSAM1
4
4.66E-04
327264
0.292456
Down
ECD
4
3.00E-08
6
0.246517
Down
RFX3
3
9.66E-04
260498
0.235696
Down
IPP
3
4.83E-04
255296
0.199412
Down
ERG
3
0.001157
1993680
0.288401
Down
SLC9A7
2
4.83E-04
102030
0.189205
Down
KBTBD7
2
4.83E-04
116108
0.284029
Down
CARD14
2
2.67E-05
3564
0.219501
Down
ANKRD6
2
3.60E-07
366
0.212744
Down
ZFYVE1
2
4.83E-04
123952
0.234428
Down
LNX2
1
0
0
0.215132
Down
ATL1
1
0
0
0.148637
Down
LMO7
1
0
0
0.195467

Construction of miRNA - target regulatory network

After combining the results of miRNA-target genes with the interactive network of miRNAs, 281 hub genes were selected and 2138 were miRNAs. The genes and miRNAs are shown in Fig. 4a. Specifically, 97 miRNAs (ex, hsa-mir-8067) that regulate RPL13A, 95 miRNAs (ex, hsa-mir-4518) that regulate RPS15A, 71 miRNAs (ex, hsa-mir-3685) that regulate RPLP0, 65 miRNAs (ex, hsa-mir-1202) that regulates ADCY6, 48 miRNAs (ex, hsa-mir-4461) that regulate RPS29, 129 miRNAs (ex, hsa-mir-8082) that regulate CTNND1, 98 miRNAs (ex, hsa-mir-4422) that regulate ESR1, 76 miRNAs (ex, hsa-mir-548am-5p) that regulate NEDD4L, 62 miRNAs (ex, hsa-mir-6886-3p) that regulate KNTC1 and 56 miRNAs (ex, hsa-mir-9500) that regulate NGFR were detected (Table 6).

Construction of TF - target regulatory network

After combining the results of TF-target genes with the interactive network of TFs, 455 hub genes were selected and 274 were TFs. The genes and TFs are shown in Fig. 4b. Specifically, 15 TFs (ex, PER3) that regulate RBX1, 13 TFs (ex, CTCF) that regulate RPS15, 12 TFs (ex, E2F7) that regulate RPS20, 11 TFs (ex, LMO2) that regulate ADCY6, 9 TFs (ex, POLR2H) that regulate POLR2K, 122 TFs (ex, NCOA2) that regulate ESR1, 21 miRNAs (ex, EBF1) that regulate LCK, 18 TFs (ex, SMAD2) that regulate GLI3, 17 TFs (ex, JUND) that regulate NEDD4L, and 15 TFs (ex, FOXO3) that regulate CALCR were detected (Table 6).

Receiver operating characteristic (ROC) curve analysis

Moreover, ROC curve analysis using “pROC” packages was performed to calculate the capacity of ten hub genes to distinguish PCOS from normal control. SAA1, ADCY6, POLR2K, RPS15, RPS15A, CTNND1, ESR1, NEDD4L, KNTC1 and NGFR all exhibited excellent diagnostic efficiency (AUC > 0.7) (Fig. 5).

Validation of the expression levels of hub genes by RT-PCR

Aiming to further verify the expression patterns of selected hub genes, real-time PCR, which allows quantitative analysis of hub gene expression, was applied. The results showed that the relative expression levels of 10 hub genes including SAA1, ADCY6, POLR2K, RPS15, RPS15A, CTNND1, ESR1, NEDD4L, KNTC1 and NGFR were consistent with the expression profiling by high throughput sequencing (Fig. 6).

Molecular docking studies

In the present analysis, the docking simulations are performed to classify the active site conformation and significant interactions with the receptor binding sites responsible for complex stability. The over expressed genes is recognized in polycystic ovary syndrome and their x-ray crystallographic proteins structure are selected from PDB for docking studies. The standard drugs containing steroid nucleus are most commonly used either alone or in combination with other drugs. The docking studies of standard molecules containing the steroid ring have been carried out using Sybyl X 2.1 drug design software. The docking studies were performed to know the biding interaction of standard molecules on identified overexpressed genes of protein. The X- RAY crystallographic structure of one protein in each of four over expressed genes of POLR2K, RPS15, RPS15 and SAA1 of their co-crystallised protein of PDB code 1LE9, 3OW2, 1G1X and 4IP8 respectively were selected for the docking (Fig. 7). A total of three drug molecules of ethinylestradiol (ETE), levonorgestril (LNG) and desogestril (DSG) were docked with over expressed proteins to assess the binding affinity with proteins. The binding score greater than six are said to be good, all three drug molecules obtained binding score greater than 7 respectively. The molecules ETE obtained with a high binding score of 9.943 with SAA1 of PDB code 4IP8 and 8.260, 8.223 and 8.019 with 1G1X, 3OW2 and 1LE9. The LNG obtained highest binding score of 8.535 with SAA1 of PDB code 4IP8 and 8.351, 7.973 and 7.854 with RPS15, POLR2K and RPS15 alpha of PDB code 3OW2, 1LE9 and 1G1X respectively. DSG: highest with POLR2K of 8.273 with PDB code 1LE9, 8.158 with SAA1 of PDB code 4IP8, 7.745 with RPS15 alpha of PDB code 1G1X and obtained least binding score of 5.674 with RPS15 of PDB code 3OW2 respectively (Table 7). The molecule ETE and LNG has highest binding score its interaction with protein 4IP8 and hydrogen bonding and other bonding interactions with amino acids are depicted by 3D (Fig. 8) and 2D (Fig. 9)
Table 6
miRNA - target gene and TF - target gene interaction
Regulation
Target Genes
Degree
MicroRNA
Regulation
Target Genes
Degree
TF
Up
RPL13A
97
hsa-mir-8067
Up
RBX1
15
PER3
Up
RPS15A
95
hsa-mir-4518
Up
RPS15
13
CTCF
Up
RPLP0
71
hsa-mir-3685
Up
RPS20
12
E2F7
Up
ADCY6
65
hsa-mir-1202
Up
ADCY6
11
LMO2
Up
RPS29
48
hsa-mir-4461
Up
POLR2K
9
POLR2H
Up
RPL30
47
hsa-mir-6811-5p
Up
RPS15A
8
FOXF2
Up
RPL35
44
hsa-mir-2278
Up
RPL35
8
MYB
Up
RPS23
40
hsa-mir-4282
Up
RPS23
5
USF1
Up
SAA1
33
hsa-mir-4701-3p
Up
RPL13A
5
NFYA
Up
RPS5
29
hsa-mir-1301-3p
Up
RPS29
5
JUN
Up
RBX1
29
hsa-mir-5187-3p
Up
POLR2J
5
POLR2C
Up
RPS20
26
hsa-mir-708-5p
Up
RPL30
4
IRF7
Up
RPS15
23
hsa-mir-1260b
Up
RPLP0
3
SMAD3
Up
POLR2K
13
hsa-mir-5680
Up
RPS5
3
GABPA
Up
POLR2J
9
hsa-mir-129-2-3p
Up
SAA1
2
CEBPB
Down
CTNND1
129
hsa-mir-8082
Up
PHB2
1
PHB2
Down
ESR1
98
hsa-mir-4422
Down
ESR1
122
NCOA2
Down
NEDD4L
76
hsa-mir-548am-5p
Down
LCK
21
EBF1
Down
KNTC1
62
hsa-mir-6886-3p
Down
GLI3
18
SMAD2
Down
NGFR
56
hsa-mir-9500
Down
NEDD4L
17
JUND
Down
TIAM2
49
hsa-mir-3679-5p
Down
CALCR
15
FOXO3
Down
GLI3
33
hsa-mir-1913
Down
NGFR
10
POU2F1
Down
FASLG
25
hsa-mir-7849-3p
Down
FASLG
8
DAXX
Down
PLD1
22
hsa-mir-3200-3p
Down
CTNND1
7
GATA1
Down
OBSCN
19
hsa-mir-3657
Down
KNTC1
5
SP1
Down
CALCR
12
hsa-mir-4735-5p
Down
PLD1
4
E2F1
Down
PTGDR
11
hsa-mir-4477b
Down
TIAM2
4
FOXD1
Down
CCL28
8
hsa-mir-770-5p
Down
GLI2
1
GLI3
Down
LCK
6
hsa-mir-520c-3p
Down
ERG
1
ESR1
Down
S1PR5
4
hsa-mir-31-5p
Down
PTGDR
1
RORA
    
Down
CCL28
1
FOS
    
Down
OBSCN
1
CUX1
Table 7
Docking results of standard drugs on overexpressed proteins
Sl. No/ Code
Over expressed gene: POLR2K
Over expressed gene: RPS15
Over expressed gene: RPS15 alpha
Over expressed gene: SAA1
PDB: 1LE9
PDB: 3OW2
PDB: 1G1X
PDB: 4IP8
Total Score
Crash
(-Ve)
Polar
Total Score
Crash
(-Ve)
Polar
Total Score
Crash
(-Ve)
Polar
Total Score
Crash
(-Ve)
Polar
ETE
8.019
-0.755
1.219
8.223
-1.768
2.517
8.260
-0.857
3.135
9.943
-1.689
0.891
LNG
7.973
-0.945
1.295
8.351
-2.752
3.465
7.854
-0.599
2.373
8.535
-1.948
0.057
DSG
8.273
-1.124
1.116
5.674
-1.611
2.212
7.745
-1.046
2.306
8.158
-1.997
0.000

Discussion

PCOS is a most prevalent endocrine disorder with hyperandrogenism and chronic anovulation [29]. If not treated promptly and effectively, PCOS can seriously reduce the quality of life. There is no doubt that considerate syndrome at the molecular level will help to develop their diagnosis and treatment [30]. Up to now, various biomarkers have been identified to be linked with PCOS and might be selected as therapeutic targets, but the detailed mechanism of gene regulation leading to syndrome advancement remains elusive [31].
In our investigation, we aimed to identify biomarkers of PCOS and uncover their biological functions through bioinformatics analysis. Dataset GSE84958 was selected as expression profiling by high throughput sequencing dataset in our analysis. As a result, 360 up regulated and 379 down regulated genes at least 4-fold change between PCOS and normal control samples were screened out. ABI3BP protein expression in heart tissue was significantly related with cardiovascular disease [32], but this gene might be liable for progression of PCOS. Romo-Yáñez et al [33] have revealed the expression of BNIP3 was linked with diabetic in pregnancies, but this gene might be responsible for progression of PCOS. F13A1 is an essential regulatory factor to be associated in PCOS development [34]. An investigation has reported that the ITIH4 can promote non-alcoholic fatty liver disease [35], but this gene might be important for progression of PCOS. Da et al [36] have suggested that the TET3 is an important role in controlling type 2 diabetes progressions, but this gene might be key role in PCOS.
The GO and pathway enrichment analysis was of great importance for interpreting the molecular mechanisms of the key cellular activities in PCOS. RPS5 [37], RBM3 [38], BAK1 [39], NDUFC2 [40], NDUFS4 [41], NDUFS5 [42], UQCRFS1 [43], COX6B1 [44], NDUFA13 [45], PRMT1 [46], RDX (radixin) [47], EPHB4 [48], SYNE2 [49], DNAH5 [50], NEDD4L [51], PDE4B [52] and CTNND1 [53] plays a critical role in the process of cardiovascular disease, but these genes might be linked with development of PCOS. Ostergaard et al [54], Zi et al [55], Kunej et al [56], Van der Schueren et al [57], Jin et al [58], Emdad et al [59], Liu et al [60], Scherag et al [61], Shi and Long [62], Sharma et al [63], Parente et al [64], Saint-Laurent et al [65] and Lee [66] demonstrated that over expression of COA3, PHB (prohibitin), UQCRC1, COX4I1, IFI27, MTDH (metadherin), S100A16, SDCCAG8, GLI2, NTN1, NLGN2, FGFR3 and PTPRN2 could cause obesity, but these genes might be involved in progression of PCOS. Alsters et al [67], Lee et al [68], Shiffman et al [69], Yaghootkar et al [70], Rotroff et al [71], Cheng et al [72], Baig et al [73], Zhang et al [74], Lebailly et al [75], Ferris et al [76], Lempainen et al [77] and McCallum et al [78] presented that high expression of CPE (carboxypeptidase E), RPL13A, CERS2, CCND2, PRPF31, SARM1, PLD1, EPHA4, ARNTL2, BATF3, IKZF4 and MEN1 were associated with diabetes, but these genes might be linked with advancement of PCOS. Wang et al [79], Tian et al [80], Zhang et al [81] and Carr et al [82] demonstrated that over expression of ATP6AP2, FIS1, GRK4 and KCNQ4 were found to be substantially related to hypertension, but these genes might be essential for PCOS progression. Atiomo et al [83], Lara et al [84] and Douma et al [85] were reported that NQO1, NGFR (nerve growth factor receptor) and ESR1 could be an index for PCOS. Jin et al [86] presented that GLI3 was associated with non-alcoholic fatty liver disease, but this gene might be linked with development of PCOS.
In the present investigation, PPI network and its modules has been shown that significant amount of hub gene might be associated with progression of PCOS. Zhang et al [87] proposed that SAA1 was linked with progression of obesity, but this gene might be important for progression of PCOS. Deng et al [88] indicated that ADCY6 was responsible for development of cardiovascular disease, but this gene might be associated with advancement of PCOS. POLR2K, RPS15, RPS15A, ESR1, LCK (LCK proto-oncogene, Src family tyrosine kinase), S1PR5, CCL28, CTNND11, UQCRQ (ubiquinol-cytochrome c reductase complex III subunit VII), UQCRH (ubiquinol-cytochrome c reductase hinge protein), COX7C, COX6C, COX8A, COX5B, COX6A1, COX7A2L, ARHGAP39, OBSCN (obscurin, cytoskeletal calmodulin and titin-interacting RhoGEF) and TIAM2 might be novel biomarkers for PCOS.
MiRNA-target genes and TF-target genes regulatory networks revealed that the miRNAs, TF and target genes were might be involved in PCOS. Hsa-mir-6886-3p was liable for progression of hypertension [89], but this gene might be involved in progression of PCOS. Some investigations determined that expression of PER3 [90] and SMAD2 [91] were associated with diabetes, but these genes might be linked with advancement of PCOS. NCOA2 was found to be associated with advancement of obesity [92], but this gene might be involved in progression of PCOS. Recently, increasing evidence demonstrated that EBF1 was expressed in coronary artery disease [93], but this gene might be responsible for progression of PCOS. FOXO3 was involved in progression of PCOS [94]. RPLP0, RPS29, KNTC1, hsa-mir-8067, hsa-mir-4518, hsa-mir-3685, hsa-mir-1202, hsa-mir-4461, hsa-mir-8082, hsa-mir-4422, hsa-mir-548am-5p, hsa-mir-9500, RBX1, RPS20, CALCR (calcitonin receptor), CTCF (CCCTC-binding factor), E2F7, LMO2, POLR2H and JUND (jun D proto-oncogene) might be novel biomarkers for PCOS.
Among all three of molecules of ethinylestradiol, levonorgestrel and desogetril respectively, ethinylestradiolhas obtained highest binding score (c-score) of 9.943 with protein of PDB code 4IP8 and obtained 8.260, 8.223 and 8.019 with protein of PDB 1G1X, 3OW2 and 1LE9 respectively. The phenolic -OH group in ring A of ethinylestradiol formed favourable bonding interactions with ALA-14 of Chain A and pi-pi bonding interactions of alicyclic ring B TRP-18. Ethinylestradiol also formed alkyl and pi-alkyl interaction of ring B, C and D with TRP-18, ARG-62, TYR-21, PHE-69, ILE-65 and ILE-58. Ethinylestradiol also formed Van der Waals interactions with ACA-61, MET-17, MET-24 and GLN-66 respectively. It is assumed that the highest binding score (c-score) of ethinylestradiol is due to the presence of aromatic ring and the phenolic –OH group.
In conclusion, we used a series of bioinformatics analysis methods to find the crucial genes and pathways associated in PCOS initiation and development from expression profiling by high throughput sequencing containing PCOS samples and normal control samples. Our investigations provide a more specific molecular mechanism for the advancement of PCOS, detail information on the potential biomarkers and therapeutic targets. However, the interacting mechanism and function of genes need to be confirmed in further experiments.

Acknowledgement

We thank Wiebke Arlt, University of Birmingham, Institute of Metabolism and Systems Research (IMSR), Birmingham, United Kingdom, very much, the author who deposited their microarray dataset, GSE84958, into the public GEO database.
No informed consent because this study does not contain human or animals participants.
This article does not contain any studies with human participants or animals performed by any of the authors.
Not applicable.

Competing interests

The authors declare that they have no competing interests.
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Literatur
2.
Zurück zum Zitat Belenkaia LV, Lazareva LM, Walker W, Lizneva DV, Suturina LV. Criteria, phenotypes and prevalence of polycystic ovary syndrome. Minerva Ginecol 2019;71(3):211-223. doi:10.23736/S0026-4784.19.04404-6 Belenkaia LV, Lazareva LM, Walker W, Lizneva DV, Suturina LV. Criteria, phenotypes and prevalence of polycystic ovary syndrome. Minerva Ginecol 2019;71(3):211-223. doi:10.23736/S0026-4784.19.04404-6
9.
Zurück zum Zitat Wang LP, Peng XY, Lv XQ, Liu L, Li XL, He X, Lv F, Pan Y, Wang L, Liu KF, et al. High throughput circRNAs sequencing profile of follicle fluid exosomes of polycystic ovary syndrome patients. J Cell Physiol 2019. doi:10.1002/jcp.28201 Wang LP, Peng XY, Lv XQ, Liu L, Li XL, He X, Lv F, Pan Y, Wang L, Liu KF, et al. High throughput circRNAs sequencing profile of follicle fluid exosomes of polycystic ovary syndrome patients. J Cell Physiol 2019. doi:10.1002/jcp.28201
11.
Zurück zum Zitat Ritchie ME, Phipson B, Wu D, Hu Y, Law CW, Shi W, Smyth GK. Limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res 2015;43(7):e47. doi:10.1093/nar/gkv007 Ritchie ME, Phipson B, Wu D, Hu Y, Law CW, Shi W, Smyth GK. Limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res 2015;43(7):e47. doi:10.1093/nar/gkv007
12.
Zurück zum Zitat Ferreira JA. The Benjamini-Hochberg method in the case of discrete test statistics. Int J Biostat 2007;3(1):. doi:10.2202/1557-4679.1065 Ferreira JA. The Benjamini-Hochberg method in the case of discrete test statistics. Int J Biostat 2007;3(1):. doi:10.2202/1557-4679.1065
14.
Zurück zum Zitat Chen J, Bardes EE, Aronow BJ, Jegga AG. ToppGene Suite for gene list enrichment analysis and candidate gene prioritization. Nucleic Acids Res 2009;37(Web Server issue):W305-W311. doi:10.1093/nar/gkp427 Chen J, Bardes EE, Aronow BJ, Jegga AG. ToppGene Suite for gene list enrichment analysis and candidate gene prioritization. Nucleic Acids Res 2009;37(Web Server issue):W305-W311. doi:10.1093/nar/gkp427
16.
19.
Zurück zum Zitat Nguyen TP, Liu WC, Jordán F. Inferring pleiotropy by network analysis: linked diseases in the human PPI network. BMC Syst Biol 2011;5:179. Published 2011 Oct 31. doi:10.1186/1752-0509-5-179 Nguyen TP, Liu WC, Jordán F. Inferring pleiotropy by network analysis: linked diseases in the human PPI network. BMC Syst Biol 2011;5:179. Published 2011 Oct 31. doi:10.1186/1752-0509-5-179
27.
Zurück zum Zitat Wang Y, Fu X, Xu J, Wang Q, Kuang H. Systems pharmacology to investigate the interaction of berberine and other drugs in treating polycystic ovary syndrome. Sci Rep 2016;6:28089. Published 2016 Jun 16. doi:10.1038/srep28089 Wang Y, Fu X, Xu J, Wang Q, Kuang H. Systems pharmacology to investigate the interaction of berberine and other drugs in treating polycystic ovary syndrome. Sci Rep 2016;6:28089. Published 2016 Jun 16. doi:10.1038/srep28089
33.
Zurück zum Zitat Romo-Yáñez J, Domínguez-Castro M, Flores-Reyes JS, Estrada-Juárez H, Mancilla-Herrera I, Hernández-Pineda J, Bazan-Tejeda ML, Aguinaga-Ríos M, Reyes-Muñoz E. Hyperglycemia differentially affects proliferation, apoptosis, and BNIP3 and p53 mRNA expression of human umbilical cord Wharton's jelly cells from non-diabetic and diabetic pregnancies. Biochem Biophys Res Commun. 2019;508(4):1149–54. https://doi.org/10.1016/j.bbrc.2018.12.037.CrossRefPubMed Romo-Yáñez J, Domínguez-Castro M, Flores-Reyes JS, Estrada-Juárez H, Mancilla-Herrera I, Hernández-Pineda J, Bazan-Tejeda ML, Aguinaga-Ríos M, Reyes-Muñoz E. Hyperglycemia differentially affects proliferation, apoptosis, and BNIP3 and p53 mRNA expression of human umbilical cord Wharton's jelly cells from non-diabetic and diabetic pregnancies. Biochem Biophys Res Commun. 2019;508(4):1149–54. https://​doi.​org/​10.​1016/​j.​bbrc.​2018.​12.​037.CrossRefPubMed
36.
Zurück zum Zitat Da Li, Cao T, Sun X, Jin S, Di Xie, Huang X, Yang X, Carmichael GG, Taylor HS, Diano S, et al. Hepatic TET3 contributes to type-2 diabetes by inducing the HNF4α fetal isoform. Nat Commun 2020;11(1):342. doi:10.1038/s41467-019-14185-z Da Li, Cao T, Sun X, Jin S, Di Xie, Huang X, Yang X, Carmichael GG, Taylor HS, Diano S, et al. Hepatic TET3 contributes to type-2 diabetes by inducing the HNF4α fetal isoform. Nat Commun 2020;11(1):342. doi:10.1038/s41467-019-14185-z
37.
Zurück zum Zitat Zhang X, Hu C, Zhang N, Wei WY, Li LL, Wu HM, Ma ZG, Tang QZ. Matrine attenuates pathological cardiac fibrosis via RPS5/p38 in mice. Acta Pharmacol Sin 2020. doi:10.1038/s41401-020-0473-8 Zhang X, Hu C, Zhang N, Wei WY, Li LL, Wu HM, Ma ZG, Tang QZ. Matrine attenuates pathological cardiac fibrosis via RPS5/p38 in mice. Acta Pharmacol Sin 2020. doi:10.1038/s41401-020-0473-8
44.
50.
Zurück zum Zitat Nöthe-Menchen T, Wallmeier J, Pennekamp P, Höben IM, Olbrich H, Loges NT, Raidt J, Dougherty GW, Hjeij R, Dworniczak B, et al. Randomization of left-right Asymmetry and Congenital Heart defects: the role of DNAH5 in humans and mice. Circ Genom Precis Med 2019;doi:10.1161/CIRCGEN.119.002686 Nöthe-Menchen T, Wallmeier J, Pennekamp P, Höben IM, Olbrich H, Loges NT, Raidt J, Dougherty GW, Hjeij R, Dworniczak B, et al. Randomization of left-right Asymmetry and Congenital Heart defects: the role of DNAH5 in humans and mice. Circ Genom Precis Med 2019;doi:10.1161/CIRCGEN.119.002686
57.
Zurück zum Zitat Van der Schueren B, Vangoitsenhoven R, Geeraert B, De Keyzer D, Hulsmans M, Lannoo M, Huber HJ, Mathieu C, Holvoet P. Low cytochrome oxidase 4I1 links mitochondrial dysfunction to obesity and type 2 diabetes in humans and mice. Int J Obes. 2015;39(8):1254–63. https://doi.org/10.1038/ijo.2015.58.CrossRef Van der Schueren B, Vangoitsenhoven R, Geeraert B, De Keyzer D, Hulsmans M, Lannoo M, Huber HJ, Mathieu C, Holvoet P. Low cytochrome oxidase 4I1 links mitochondrial dysfunction to obesity and type 2 diabetes in humans and mice. Int J Obes. 2015;39(8):1254–63. https://​doi.​org/​10.​1038/​ijo.​2015.​58.CrossRef
63.
Zurück zum Zitat Sharma M, Schlegel M, Brown EJ, Sansbury BE, Weinstock A, Afonso MS, Corr EM, van Solingen C, Shanley LC, Peled D, et al. Netrin-1 Alters Adipose Tissue Macrophage Fate and Function in Obesity. Immunometabolism 2019;1(2):e190010. doi:10.20900/immunometab20190010 Sharma M, Schlegel M, Brown EJ, Sansbury BE, Weinstock A, Afonso MS, Corr EM, van Solingen C, Shanley LC, Peled D, et al. Netrin-1 Alters Adipose Tissue Macrophage Fate and Function in Obesity. Immunometabolism 2019;1(2):e190010. doi:10.20900/immunometab20190010
70.
Zurück zum Zitat Yaghootkar H, Stancáková A, Freathy RM, Vangipurapu J, Weedon MN, Xie W, Wood AR, Ferrannini E, Mari A, Ring SM, et al. Association analysis of 29,956 individuals confirms that a low-frequency variant at CCND2 halves the risk of type 2 diabetes by enhancing insulin secretion. Diabetes. 2015;64(6):2279–85. https://doi.org/10.2337/db14-1456.CrossRefPubMed Yaghootkar H, Stancáková A, Freathy RM, Vangipurapu J, Weedon MN, Xie W, Wood AR, Ferrannini E, Mari A, Ring SM, et al. Association analysis of 29,956 individuals confirms that a low-frequency variant at CCND2 halves the risk of type 2 diabetes by enhancing insulin secretion. Diabetes. 2015;64(6):2279–85. https://​doi.​org/​10.​2337/​db14-1456.CrossRefPubMed
77.
Zurück zum Zitat Lempainen J, Härkönen T, Laine A, Knip M. Ilonen J; Finnish Pediatric Diabetes Register. Associations of polymorphisms in non-HLA loci with autoantibodies at the diagnosis of type 1 diabetes: INS and IKZF4 associate with insulin autoantibodies. Pediatr Diabetes. 2013;14(7):490–6. https://doi.org/10.1111/pedi.12046.CrossRefPubMed Lempainen J, Härkönen T, Laine A, Knip M. Ilonen J; Finnish Pediatric Diabetes Register. Associations of polymorphisms in non-HLA loci with autoantibodies at the diagnosis of type 1 diabetes: INS and IKZF4 associate with insulin autoantibodies. Pediatr Diabetes. 2013;14(7):490–6. https://​doi.​org/​10.​1111/​pedi.​12046.CrossRefPubMed
81.
Zurück zum Zitat Zhang Y, Wang S, Huang H, Zeng A, Han Y, Zeng C, Zheng S, Ren H, Wang Y, Huang Y, et al. GRK4-mediated adiponectin receptor-1 phosphorylative desensitization as a novel mechanism of reduced renal sodium excretion in hypertension. Clin Sci. 2020;134(18):2453–67. https://doi.org/10.1042/CS20200671.CrossRef Zhang Y, Wang S, Huang H, Zeng A, Han Y, Zeng C, Zheng S, Ren H, Wang Y, Huang Y, et al. GRK4-mediated adiponectin receptor-1 phosphorylative desensitization as a novel mechanism of reduced renal sodium excretion in hypertension. Clin Sci. 2020;134(18):2453–67. https://​doi.​org/​10.​1042/​CS20200671.CrossRef
83.
Zurück zum Zitat Atiomo W, Shafiee MN, Chapman C, Metzler VM, Abouzeid J, Latif A, Chadwick A, Kitson S, Sivalingam VN, Stratford IJ, et al. Corrigendum: Expression of NAD(P) H quinone dehydrogenase 1 (NQO1) is increased in the endometrium of women with endometrial cancer and women with polycystic ovary syndrome. Clin Endocrinol. 2017;87(6):886. https://doi.org/10.1111/cen.13515.CrossRef Atiomo W, Shafiee MN, Chapman C, Metzler VM, Abouzeid J, Latif A, Chadwick A, Kitson S, Sivalingam VN, Stratford IJ, et al. Corrigendum: Expression of NAD(P) H quinone dehydrogenase 1 (NQO1) is increased in the endometrium of women with endometrial cancer and women with polycystic ovary syndrome. Clin Endocrinol. 2017;87(6):886. https://​doi.​org/​10.​1111/​cen.​13515.CrossRef
85.
Zurück zum Zitat Douma Z, Dallel M, Bahia W, Ben Salem A, Hachani B, Ali F, Almawi WY, Lautier C, Haydar S, Grigorescu F, Mahjoub T. Association of estrogen receptor gene variants (ESR1 and ESR2) with polycystic ovary syndrome in Tunisia. Gene 2020;741:144560. doi:10.1016/j.gene.2020.144560 Douma Z, Dallel M, Bahia W, Ben Salem A, Hachani B, Ali F, Almawi WY, Lautier C, Haydar S, Grigorescu F, Mahjoub T. Association of estrogen receptor gene variants (ESR1 and ESR2) with polycystic ovary syndrome in Tunisia. Gene 2020;741:144560. doi:10.1016/j.gene.2020.144560
91.
Zurück zum Zitat Lu Y, Habtetsion TG, Li Y, Zhang H, Qiao Y, Yu M, Tang Y, Zhen Q, Cheng Y, Liu Y. Association of NCOA2 gene polymorphisms with obesity and dyslipidemia in the Chinese Han population. Int J Clin Exp Pathol. 2015;8(6):7341–9.PubMedPubMedCentral Lu Y, Habtetsion TG, Li Y, Zhang H, Qiao Y, Yu M, Tang Y, Zhen Q, Cheng Y, Liu Y. Association of NCOA2 gene polymorphisms with obesity and dyslipidemia in the Chinese Han population. Int J Clin Exp Pathol. 2015;8(6):7341–9.PubMedPubMedCentral
Metadaten
Titel
Identification of key pathways and genes in polycystic ovary syndrome via integrated bioinformatics analysis and prediction of small therapeutic molecules
verfasst von
Praveenkumar Devarbhavi
Lata Telang
Basavaraj Vastrad
Anandkumar Tengli
Chanabasayya Vastrad
Iranna Kotturshetti
Publikationsdatum
01.12.2021
Verlag
BioMed Central
Erschienen in
Reproductive Biology and Endocrinology / Ausgabe 1/2021
Elektronische ISSN: 1477-7827
DOI
https://doi.org/10.1186/s12958-021-00706-3

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