Background
Histone methylation plays an important dynamic role in regulating chromatin structure. Precise coordination and organization of open and closed chromatins are crucial for normal cellular processes such as DNA replication, repair, recombination and transcription. Until recently, histone methylation was considered to be a static modification, but the identification of histone demethylases has revealed that this modification is dynamically regulated [
1,
2]. Histone demethylases regulate not only the modification itself but also its extended function, by antagonizing the binding of effector proteins to modified chromatin. This is exemplified by JHDM3A/JMJD2A, which displaces HP1 from chromatin by demethylating the H3K9 methylation and thereby preventing the spread of H3K9 methylation to the surrounding chromatin by HP1 [
3,
4]. A highly-conserved family of proteins containing the JmjC domain was recently characterized to possess a histone demethylase activity [
5]. Despite a large body of information for the prominent role of histone demethylases in transcriptional regulation, their physiological function, and their involvement in human disease is still not well-understood.
We previously reported that SMYD3, a histone methyltransferase, stimulates cell proliferation through its methyltransferase activity and plays a crucial role in human carcinogenesis [
6‐
10]. Although dysfunction of histone methylation status was indicated to contribute to human carcinogenesis [
11‐
13], the relationship between abnormal histone demethylation and human carcinogenesis is still largely unclear.
In order to find demethylases that contribute to human carcinogenesis, we examined the expression profiles of several proteins containing a JmjC histone demethylase domain in clinical tissues and found that expression levels of KDM5B were significantly up-regulated, compared with their corresponding normal tissues, in many types of cancer.
KDM5B, also named JARID1B or PLU-1, is one of the four JARID family members [
14,
15], and contains domains common to transcriptional regulators such as a JmjN domain, a Bright/Arid domain, a C5H2C zinc finger motif, and several PHD domains in addition to a JmjC domain. All four members of the JARID family possess the H3K4 demethylase activity [
16‐
20]. Each member might participate in different biological processes through recruitment to different chromosomal regions and differing enzymatic activities [
5]. Here we demonstrate a novel function of KDM5B in human carcinogenesis and show that it is related to the cell cycle through regulation of E2F expression and cell growth.
Discussion
Histone modifications of chromatin, including methylation, acetylation, phosphorylation and ubiquitination, play a critical role in creating transcriptional activation and repression patterns, through the regulation of chromatin structure. KDM5B belongs to the lysine demethylase family, which specifically removes the methyl group of histone H3 lysine 4 [
20]. In this study, we demonstrated the significant up-regulation of KDM5B in bladder and lung cancers as well as various other cancer types, using quantitative RT-PCR, immunohistochemistry, and microarray-based gene expression profiles. Consistently with reports from other groups [
20,
22], we showed that KDM5B expression is dysregulated in a great majority of human tumors. We previously reported the copy number gain at a region of chromosome 1q32.1 (200963156-201045186), where the
KDM5B gene is located, in 17 of 98 bladder tumors (British cases) [
23]. We found that the clone RP11-203F10 (200861805-201051225) used for this tile-path array analysis included an entire
KDM5B gene. Although most of the cases were considered to be transactivated by other mechanisms, including epigenetic changes or activation of factors regulating the KDM5B transcription, the copy number gain in nearly 20% of the cases indicated some significances of this copy number gain in bladder carcinogenesis.
KDM5B expression is very low in normal tissues other than adult testis [
24], and we observed no significant KDM5B staining in vital organs by immunohistochemical analysis (Figure
1D,
3E and Additional file
9). Therefore, aberrant overexpression of KDM5B in any tumor, compared to corresponding non-neoplastic tissues, make it an ideal molecular target with potential for cancer detection and as a therapeutic target. Already, synthetic inhibitors of classical HDACs have been widely used as tools in epigenetic studies, and many have shown growth-suppressive effects in cancer cells
in vitro and have been used in early phase clinical trials [
25,
26]. In addition, some histone methyltransferase and demethylase inhibitors have recently been reported [
27‐
29]. Further functional studies of KDM5B will provide useful information for development of demethylase inhibitors that might show a great promise as a new type of molecular targeted-cancer drugs, as well as HDAC inhibitors.
We demonstrated that E2F1 and E2F2 are candidate downstream modulators regulated by KDM5B. A luciferase reporter assay, combined with siRNA treatment, yielded indirect evidence supporting a molecular interaction between KDM5B and E2F elements. The E2F transcription factors are downstream effectors of the retinoblastoma (RB) protein pathway and are involved in many aspects of fundamental cell cycle control [
30‐
33]. Binding sites for E2F factors have been identified in a large number of genes that control cell cycle and DNA synthesis, including cdk2 and 4, cyclin A, D and E, DNA polymerase, ribonucleotide reductase, UHRF1 and PCNA [
34,
35]. Importantly, mutations in the RB-E2F cascade are found in a wide range of tumor types [
36,
37]. Most of these alterations affect RB or upstream regulators of E2F transcriptional factors, and there is growing evidence that dysregulation of the E2F family itself is crucially involved in carcinogenesis. Indeed, in ovarian cancer, the proliferation-promoting E2F1 and E2F2 transcription factors were overexpressed, compared with healthy control tissues [
38]. Their dysregulation has been proposed as a prognostic indicator for various tumors [
39‐
43]. Overexpression of a proliferation-promoting E2F transcription factor is argued to contribute a significant growth advantage to tumors especially those with poor prognosis. In the present study, we demonstrated significantly higher expression of both E2F1 and E2F2 in bladder tumor tissues than in non-neoplastic tissues, which are probably due to aberrant transcriptional regulation of KDM5B. Detailed pathway analysis on the basis of Gene Ontology revealed the involvement of KDM5B in several cell cycle processes (see also Additional file
7).
According to our microarray data, a number of other genes could be up-regulated by KDM5B. One of KDM5B's main functions was considered to be transcriptional repression through its demethylase activity because H3K4 methylation is a marker for euchromatin [
20]. From our microarray data, we propose three possible mechanisms whereby KDM5B can activate the transcription of its downstream genes. (i) Transcription is indirectly activated through transcription factors that are directly regulated by KDM5B; (ii) KDM5B transactivates expression of downstream candidates through protein-protein interaction. For example, KDM5B associates with the androgen receptor and enhances its transcriptional activity [
22]. KDM5B might both up- and down-regulate gene expressions, depending on its binding partners. (iii) KDM5B demethylates unknown substrates. Similarly, LSD1 was first reported to be a H3K4 specific demethylase [
1], and later found to demethylate histone H3 lysine 9 and p53 [
44,
45]. Interestingly, in this study, we found that KDM5B was localized in the cytoplasm at some cell-cycle phases (see Additional files
10 and
11), raising the possibility that it might demethylate unknown substrates in the cytoplasm and then affect cell cycle progression. Furthermore, Xiang
et al has shown that there may be a correlation between
KDM5B expression and the stage of prostate cancer [
22] and Yamane
et al reported that KDM5B knockdown increased G
1 phase of MCF7 cells [
20]. While these are some discrepancies between our current result and the previous reports, these differences may reflect the different KDM5B roles in different tissues. However, our results using several cancer cell lines strongly support the possible involvement of KDM5B in the growth of cancer cells.
Materials and methods
Tissue samples and RNA preparation
123 surgical specimens of primary urothelial carcinoma were collected, either at cystectomy or transurethral resection of bladder tumor (TUR-Bt), and snap-frozen in liquid nitrogen. 23 normal bladder tissues were collected from areas of macroscopically-normal regions in patients with no evidence of malignancy. Use of tissues for this study was approved by Cambridgeshire Local Research Ethics Committee (Ref 03/018). A total of thirty 30-μm sections were homogenized for RNA extraction and two 7-μm 'sandwich' sections adjacent to the tissue used for RNA extraction were sectioned, stained and assessed for cellularity and tumor grade by an independent consultant urohistopathologist. Additionally, the sections were graded according to the degree of inflammatory cell infiltration (low, moderate and significant). Samples showing significant inflammatory cell infiltration were excluded [
46].
Total RNA was extracted using TRI Reagent™ (Sigma, Dorset, UK), following the manufacturer's protocol. RNeasy Mini Kit™ (QIAGEN, Crawley, UK), including a DNase step, was used to optimize RNA purity. Agilent 2100™ total RNA bioanalysis was performed. 1 μl of resuspended RNA from each sample was applied to an RNA 6000 Nano LabChip™ and processed according to the manufacturer's instructions. All chips and reagents were sourced from Agilent Technologies™ (West Lothian, UK).
Reverse transcription
Total RNA concentrations were determined using the NanoDrop™ ND1000 spectrophotometer (Nyxor Biotech, Paris, France). 1 μg of total RNA was reversely transcribed with 2 μg of random hexamers (Amersham) and Superscript III reverse transcriptase (Invitrogen, Paisley, UK) in 20 μl reactions according to the manufacturer's instructions. cDNA was then diluted 1:100 with PCR grade water and stored at -20°C.
Laser capture microdissection
Tissue for laser capture microdissection was collected prospectively following the procedure outlined above. Five sequential sections of 7-μm thickness were cut from each tissue and stained using HistoGene™ staining solution (Arcturus, California, USA) following the manufacturer's protocol. Slides were then immediately transferred for microdissection using a PixCell II laser capture microscope™ (Arcturus, California, USA). This technique employs a low-power infrared laser to melt a thermoplastic film over the cells of interest, to which the cells become attached.
Approximately 10,000 cells were microdissected from both stromal and epithelial/tumor compartments in each tissue. RNA was extracted using an RNeasy Micro Kit™ (QIAGEN, Crawley, UK). Areas of cancer or stroma containing significant inflammatory areas of tumor or stroma containing significant inflammatory cell infiltration were avoided to prevent contamination.
Total RNA was reversely transcribed and qRT-PCR was performed as shown above. Given the low yield of RNA from such small samples, NanoDrop™ quantification was not performed, but correction for the endogenous 18S CT value was used as an accurate measure of the amount of intact starting RNA. Transcript analysis was performed for the KDM5B genes.
To validate the accuracy of microdissection, qRT-PCR using primers and probes for Vimentin and Uroplakin were performed according to the manufacturer's instructions (Assays on demand, Applied Biosystems, Warrington, UK). Vimentin is primarily expressed in mesenchymal tissue, and was used as a stromal marker. Uroplakin, a marker of urothelial differentiation, is preserved in up to 90% of epithelially-derived cells [
47].
Cell culture
All cell lines were grown in monolayers in appropriate media: Dulbecco's modified Eagle's medium (D-MEM) for EJ28 bladder cancer cells and RERF-LC-AI non-small cell lung cancer cells; Eagle's minimal essential medium (E-MEM) for 253J, 253J-BV, HT1197, HT1376, J82, SCaBER, UMUC3 bladder cancer cells and SBC5 small cell lung cancer cells; Leibovitz's L-15 for SW780 cells; McCoy's 5A medium for RT4 and T24 bladder cancer cells; RPMI1640 medium for 5637 bladder cancer cells and A549, H2170 and LC319 non-small cell lung cancer cells supplemented with 10% fetal bovine serum and 1% antibiotic/antimycotic solution (Sigma). All cells were maintained at 37°C in humid air with 5% CO2 condition (5637, 253J, 253J-BV, EJ28, HT1197, HT1376, J82, RT4, SCaBER, T24, UMUC3, A549, H2170, LC319, RERF-LC-AI and SBC5) or without CO2 (SW780). Cells were transfected with FuGENE6™ (Roche Applied Science, Basel, Switzerland) according to manufacturer's protocols.
Expression profiling in cancers using cDNA microarrays
We established a genome-wide cDNA microarray with 36,864 cDNAs or ESTs selected from the UniGene database of the National Center for Biotechnology Information (NCBI). This microarray system was constructed essentially as described previously [
48‐
50]. Briefly, the cDNAs were amplified by RT-PCR using poly (A)
+ RNAs isolated from various human organs as templates; the lengths of the amplicons ranged from 200 to 1,100 bp, without any repetitive or poly (A) sequences. Many types of tumors and corresponding non- neoplastic tissues were prepared in 8-μm sections, as described previously [
49]. A total of 30,000-40,000 cancer or noncancerous cells were collected selectively using the EZ cut system (SL Microtest GmbH, Germany) according to the manufacturer's protocol. Extraction of total RNA, T7-based amplification, and labeling of probes were performed as described previously [
49]. 2.5-μg aliquots of twice-amplified RNA (aRNA) from each cancerous and noncancerous tissue were then labeled, respectively, with Cy3-dCTP or Cy5-dCTP. Detailed expression profiling data of bladder and lung cancers, shown in this study, were based on the data reported previously by Drs. Ryo Takata and Takefumi Kikuchi, respectively [
48,
51].
Quantitative real-time PCR
As described above, we obtained 123 bladder cancer tissues and 23 normal bladder tissues in Cambridge Addenbrooke's Hospital. For quantitative RT-PCR reactions, specific primers for all human
GAPDH (housekeeping gene),
SDH (housekeeping gene) and
KDM5B were designed (primer sequences in Additional file
12). PCR was performed using the ABI prism 7700 Sequence Detection System (Applied Biosystems, Warrington, UK) following the manufacturer's protocol. 50% SYBR GREEN universal PCR Master Mix without UNG (Applied Biosystems, Warrington, UK), 50 nM each of the forward and reverse primers and 2 μl of reversely-transcribed cDNA were applied. Amplification conditions were 5 min at 95°C and then 45 cycles each consisting of 10 sec at 95°C, 1 min at 55°C and 10 sec at 72°C. Then, reactions were heated for 15 sec at 95°C, 1 min at 65°C to draw the melting curve, and cooled to 50°C for 10 sec. Reaction conditions for target gene amplification were as described above and the equivalent of 5 ng of reverse transcribed RNA was used in each reaction. mRNA levels were normalized to
GAPDH and
SDH expressions.
Immunohistochemical staining
Sections of human bladder and lung cancer were stained by VECTASTAIN® ABC KIT (VECTOR LABORATORIES, CA, USA). Briefly, endogenous peroxidase activity of xylene-deparaffinized and dehydrated sections was inhibited by treatment with 0.3% H2O2/methanol. Non-specific binding was blocked by incubating sections with 3% BSA in a humidified chamber for 30 min at ambient temperature followed by overnight incubation at 4°C with a 1:100 dilution of mouse monoclonal anti-JARID1B (clone 1G10, Abnova) antibody. The sections were washed twice with PBS (-), incubated with 5 μg/μl goat anti-mouse biotinylated IgG in PBS (-) containing 1% BSA for 30 min at ambient temperature, and then incubated with ABC reagent for 30 min. Specific immunostaining was visualized by 3,3'-diaminobenzidine. Slides were dehydrated through graded alcohol to xylene washing and mounted on cover slips. Hematoxylin was used for nuclear counterstaining. Bladder and lung tumor tissue microarray slides were purchased from BioChain Institute (Hayward, CA, USA).
Western blotting
Total protein extracts were prepared from the cells in RIPA-like buffer. Total protein (50 μg) was transferred to nitrocellulose membrane. The membrane was proved with anti-JARID1B (clone 1G10, H00010765-M02, Abnova or HPA027179, Atlas Antibodies AB), anti-E2F1 antibody (KH95, Santa Cruz Biotechnology) and anti-E2F2 antibody (L-20, Santa Cruz Biotechnology). Anti-Actin (I-19, Santa Cruz Biotechnology) was used as loading control.
Transfection with small interfering RNAs
The small interfering RNA
( siRNA) oligonucleotide duplexes were purchased from SIGMA Genosys for targeting the human
KDM5B transcript. siEGFP, siFFLuc and siNegative control (siNC), which is a mixture of three different oligonucleotide duplexes, were used as control siRNAs. The siRNA sequences are described in Additional file
13. siRNA duplexes (100 nM final concentration) were transfected to bladder and lung cancer cell lines with lipofectamine 2000 (Invitrogen) for 72 hours, and cell viability was examined using Cell Counting Kit 8 (DOJINDO Laboratories).
Flow cytometry assays (FACS)
To examine the effect of KDM5B expression on the cell cycle progression, SBC5 cells were treated with siKDM5B or control siRNAs (siEGFP and siFFLuc), and cultured in a CO2 incubator at 37°C for 72 hours. 1 × 105 cells were collected by trypsinization, and stained with propidium iodide (PI) following the manufacturer's instructions (Cayman Chemical). Cells were analyzed by FACScan (BECKMAN COULTER) with MultiCycle for Windows software (BECKMAN COULTER) for detailed cell cycle status. The percentages of cells in G0/G1, S and G2/M phases as well as those in any sub-G1 population were determined from at least 20,000 ungated cells.
Coupled cell cycle and cell proliferation assay
A 5'-bromo-2'-deoxyuridine (BrdU) flow kit (BD Pharmingen, San Diego, CA) was used to determine the cell cycle kinetics and to measure the incorporation of BrdU into DNA of proliferating cells. The assay was performed according to the manufacturer's protocol. Briefly, SBC5 cells (2 × 105 per well) were seeded overnight in 6-well tissue culture plates and treated with an optimized concentration of siRNAs in medium containing 10% FBS for 72 hours, followed by addition of 10 μM BrdU, and incubations continued for an additional 30 min. Both floating and adherent cells were pooled from triplicates wells per treatment point, fixed in a solution containing paraformaldehyde and the detergent saponin, and incubated for 1 hour with DNase at 37°C (30 μg per sample). FITC-conjugated anti-BrdU antibody (1:50 dilution in Wash buffer; BD Pharmingen, San Diego, CA) was added and incubation continued for 20 minutes at room temperature. Cells were washed in Wash buffer and total DNA was stained with 7-amino-actinomycin D (7-AAD; 20 μL per sample), followed by flow cytometric analysis using FACScan (BECKMAN COULTER) and total DNA content (7-AAD) was determined CXP Analysis Software Ver. 2.2 (BECKMAN COULTER).
Microarray hybridization and statistical analysis for the clarification of down-stream genes
Purified total RNA was labeled and hybridized onto Affymetrix GeneChip U133 Plus 2.0 oligonucleotide arrays (Affymetrix, Santa Clara, CA) according to the manufacturer's instructions. Probe signal intensities were normalized by RMA and Quantile normalization methods (using R and Bioconductor). Next, signal intensity fluctuation due to inter-experimental variation was estimated. Each experiment was replicated (1 and 2), and the standard deviation (stdev) of log2(intensity2/intensity1) was calculated for each of a set of intensity ranges with the midpoints being at log2((intensity1+intensity2)/2) = 5, 7, 9, 11, 13, and 15. We modeled intensity variation using the formula stdev(log2(intensity2/intensity1)) = a * (log2((intensity1+intensity2)/2)) + b and estimated parameters a and b using the method of least squares. Using these values, the standard deviation of intensity fluctuation was calculated. The signal intensities of each probe were then compared between siKDM5B (EXP) and controls (siEGFP/siFFLuc) (CONT) and tested for up/down-regulation by calculating the z-score: log2(intensityEXP/intensityCONT)/(a * (log2((intensityEXP+intensityCONT)/2)) + b). Resultant P-values for the replication sets were multiplied to calculate the final P-value of each probe. These procedures were applied to each comparison: siEGFP vs. siKDM5B, siFFLuc vs. siKDM5B, and siEGFP vs. siFFLuc, respectively. We determined up/down-regulated gene sets as those that simultaneously satisfied the following criteria: (1) The Benjamini-Hochberg false discovery rate (FDR) < = 0.05 for siEGFP vs. siKDM5B, (2) FDR < = 0.05 for siFFLuc vs. siKDM5B and the regulation direction is the same as (1), and (3) siEGFP vs. siFFLuc has the direction opposite to (1) and (2) or P > 0.05 for siEGFP vs. siFFLuc. Finally, we performed a pathway analysis using the hyper-geometric distribution test, which calculates the probability of overlap between the up/down-regulated gene set and each GO category compared against another gene list that is randomly sampled. We applied the test to the identified up/down-regulated genes to test whether or not they are significantly enriched (FDR < = 0.05) in each category of "Biological processes" (857 categories) as defined by the Gene Ontology database.
E2F reporter assay
We analyzed the transcriptional activity of E2F by the Cignal™ E2F Reporter Assay Kit (SuperArray Bioscience Corporation). A549 and SBC5 cells were treated with siRNAs (siEGFP and siKDM5B) and cultured for 24 hours. siRNA-treated cells were transfected with an E2F-responsive luciferase construct, which encodes the firefly luciferase reporter gene under the control of a minimal (m)CMV promoter and tandem repeats of the E2F transcriptional response element [TRE], negative control or positive control. After 24 hours of transfection, dual luciferase assay was performed using Dual-Luciferase Reporter Assay System (Promega), and promoter activity values are expressed as arbitrary units using a Renilla reporter for internal normalization.
Experiments were done in triplicate, and Student's t-test was used for statistical analysis.
Competing interests
The authors declare that they have no competing interests.
Authors' contributions
SH and RH designed this study and performed all experiments with the help of MY, MU and YI in Japan. DEN and JDK kindly provided patient samples and gave good advice. TT performed the statistical analysis of microarray. JDK, HIF, DEN, HY, BAJP and YN critically read the manuscript and gave good advice. SH and RH wrote this manuscript. All authors read and approved the final manuscript.