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Endocrine

Erschienen in:

15.04.2019 | Original Article

Network-based transcriptomic analysis reveals novel melatonin-sensitive genes in cardiovascular system

verfasst von: Ke Li, Fan Hu, Wan Xiong, Qing Wei, Fang-Fang Liu

Erschienen in: Endocrine | Ausgabe 2/2019

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Abstract

Purpose

Heart disease is a major cause of mortality and disability worldwide. Melatonin is a neuroendocrine hormone and has been found to be protective in heart disease. However, the molecular basis underlying this cardioprotective effect is not fully understood. Here we aim to investigate melatonin-sensitive genes in cardiovascular system using public gene expression databases.

Methods

An innovative genomic analysis method, the weighted gene co-expression network analysis (WGCNA) combined with differential gene expression analysis, was used in this study. The algorithm was implemented in R/Bioconductor.

Results

Using this method, we provide a comprehensive characterization of transcriptional profiles associated with melatonin treatment. We found that 357 differentially expressed genes (DEGs) were highly sensitive to melatonin in mouse myocardium. Enrichment analysis showed that these 357 genes were mostly related to GO:0051984 (positive regulation of chromosome segregation), GO:0016605 (PML body) and GO:0006281 (DNA repair). We further obtained 5 hub genes from the 357 DEGs, including Set, Dhx40, Scaf11, Cfh, and Nup43.

Conclusions

We identified numerous melatonin-sensitive genes and further identified five hub genes. The five novel genes are possibly associated with the myocardial benefits of melatonin.

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Titel: Network-based transcriptomic analysis reveals novel melatonin-sensitive genes in cardiovascular system
verfasst von: Ke Li
Fan Hu
Wan Xiong
Qing Wei
Fang-Fang Liu
Publikationsdatum: 15.04.2019
Verlag: Springer US
Erschienen in: Endocrine / Ausgabe 2/2019
Print ISSN: 1355-008X
Elektronische ISSN: 1559-0100
DOI: https://doi.org/10.1007/s12020-019-01925-w

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Network-based transcriptomic analysis reveals novel melatonin-sensitive genes in cardiovascular system

Abstract

Purpose

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Conclusions

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Abstract

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