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<article xml:lang="en" article-type="research-article" xmlns:xlink="http://www.w3.org/1999/xlink">
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">OR</journal-id>
<journal-title-group>
<journal-title>Oncology Reports</journal-title></journal-title-group>
<issn pub-type="ppub">1021-335X</issn>
<issn pub-type="epub">1791-2431</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/or.2015.3824</article-id>
<article-id pub-id-type="publisher-id">or-33-05-2567</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject></subj-group></article-categories>
<title-group>
<article-title>Genome-wide analysis of histone modifications by ChIP-chip to identify silenced genes in gastric cancer</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>ZHU</surname><given-names>XINJIANG</given-names></name><xref rid="af1-or-33-05-2567" ref-type="aff">1</xref><xref rid="af2-or-33-05-2567" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>LIU</surname><given-names>JIAN</given-names></name><xref rid="af1-or-33-05-2567" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>XU</surname><given-names>XIAOYANG</given-names></name><xref rid="af1-or-33-05-2567" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>ZHANG</surname><given-names>CHUNDONG</given-names></name><xref rid="af1-or-33-05-2567" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>DAI</surname><given-names>DONGQIU</given-names></name><xref rid="af1-or-33-05-2567" ref-type="aff">1</xref><xref ref-type="corresp" rid="c1-or-33-05-2567"/></contrib></contrib-group>
<aff id="af1-or-33-05-2567">
<label>1</label>Department of Gastrointestinal Surgery, The Fourth Affiliated Hospital, China Medical University, Shenyang, Liaoning 110032, P.R. China</aff>
<aff id="af2-or-33-05-2567">
<label>2</label>Internal Medicine, Liaoning Province Tumor Hospital, Shenyang, Liaoning 110042, P.R. China</aff>
<author-notes>
<corresp id="c1-or-33-05-2567">Correspondencec to: Professor Dongqiu Dai, Department of Gastrointestinal Surgery and Cancer Center, The Fourth Affiliated Hospital of China Medical University, 4 Chongshan East Road, Shenyang, Liaoning 110032, P.R. China, E-mail: <email>daidq63@163.com</email></corresp></author-notes>
<pub-date pub-type="ppub">
<month>5</month>
<year>2015</year></pub-date>
<pub-date pub-type="epub">
<day>27</day>
<month>02</month>
<year>2015</year></pub-date>
<volume>33</volume>
<issue>5</issue>
<fpage>2567</fpage>
<lpage>2574</lpage>
<history>
<date date-type="received">
<day>26</day>
<month>10</month>
<year>2014</year></date>
<date date-type="accepted">
<day>30</day>
<month>01</month>
<year>2015</year></date></history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2015, Spandidos Publications</copyright-statement>
<copyright-year>2015</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/3.0">
<license-p>This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited.</license-p></license></permissions>
<abstract>
<p>The present study aimed to identify novel histone modification markers in gastric cancer (GC) by chromatin immunoprecipitation microarray (ChIP-chip) analysis and to determine whether these markers were able to discriminate between normal and GC cells. We also tested for correlations with DNA methylation. We probed a human CpG island microarray with DNA from a GC cell line (MKN45) by chromatin immunoprecipitation (ChIP). ChIP-reverse-transcriptase quantitative polymerase chain reaction PCR (RT-qPCR) was used to validate the microarray results. Additionally, mRNA expression levels and the DNA methylation of potential target genes were evaluated by RT-qPCR and methylation-specific PCR (MSP). The moults showed that 134 genes exhibited the highest signal-to-noise ratio of H3-K9 trimethylation over acetylation and 46 genes exhibited the highest signal-to-noise ratio of H3-K9 trimethylation over H3-K4 trimethylation in MKN45 cells. The ChIP-qPCR results agreed with those obtained from the ChIP-chip analysis. Aberrant DNA methylation status and mRNA expression levels were also identified for selected genes (<italic>PSD</italic>, <italic>SMARCC1</italic> and <italic>Vps37A</italic>) in the GC cell lines. The results suggest that CpG island microarray coupled with ChIP (ChIP-chip) can identify novel targets of gene silencing in GC. Additionally, ChIP-chip is the best approach for assessing the genome-wide status of epigenetic regulation, which may allow for a broader genomic understanding compared to the knowledge that has been accumulated from single-gene studies.</p></abstract>
<kwd-group>
<kwd>ChIP-chip</kwd>
<kwd>tumor-suppressor genes</kwd>
<kwd>gastric carcinoma</kwd>
<kwd>histone modification</kwd>
<kwd>DNA methylation</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Gastric cancer (GC) is one of the most common malignancies and is the second and third leading cause of cancer-related mortality in men and women, respectively, worldwide. Compared to other malignant types of cancer, the incidence and mortality of GC ranks first in China; where the cases account for 42% of all GC cases worldwide (<xref rid="b1-or-33-05-2567" ref-type="bibr">1</xref>). Most patients are diagnosed at an advanced stage, thus GC continues to be a highly aggressive malignancy that is associated with poor prognosis and a low survival rate. Therefore, additional studies are needed to explore the molecular pathophysiology of GC.</p>
<p>Mounting evidence has indicated that epigenetic alterations play a key role in the occurrence and development of GC (<xref rid="b2-or-33-05-2567" ref-type="bibr">2</xref>,<xref rid="b3-or-33-05-2567" ref-type="bibr">3</xref>). These epigenetic alterations, such as DNA and histone methylation, provide an alternative pathway for gene silencing that is distinct from gene mutation and deletion. Tumor-suppressor gene (TSG) silencing associated with DNA methylation in cancer is accompanied by abnormal histone modifications (<xref rid="b4-or-33-05-2567" ref-type="bibr">4</xref>,<xref rid="b5-or-33-05-2567" ref-type="bibr">5</xref>). Histone modifications, which have been recently recognized to generate a &#x02018;histone code&#x02019; that affects chromatin structure and gene expression, also play an important role in the establishment of gene silencing during tumorigenesis (<xref rid="b6-or-33-05-2567" ref-type="bibr">6</xref>). Histone lysine methylation and acetylation, which are two of the best-studied histone modifications, are involved in many biological processes, including gene activation and silencing, DNA methylation, X-chromosome inactivation, DNA repair and cell cycle control (<xref rid="b7-or-33-05-2567" ref-type="bibr">7</xref>). H3-K9 acetylation is known to be associated with active transcription, whereas H3-K9 trimethylation has been connected with repressed transcription (<xref rid="b8-or-33-05-2567" ref-type="bibr">8</xref>). Furthermore, H3-K4 trimethylation has been detected at active genes and is thought to promote gene expression. Histone acetylation and methylation are likely to act cooperatively to regulate gene transcription.</p>
<p>In the post-genomic era, high-throughput technologies have made it possible to analyze the chromatin structure at the genomic scale in cancer cells. Chromatin immunoprecipitation coupled with microarray (ChIP-chip) has been used by investigators to conduct genome-wide analyses (<xref rid="b9-or-33-05-2567" ref-type="bibr">9</xref>,<xref rid="b10-or-33-05-2567" ref-type="bibr">10</xref>). In the recent study, we used the ChIP-chip technique to characterize inactive genes in GC, with an aim to identify the targets of genes controlled by histone modifications. We also examined the relevance of histone modifications and DNA methylation for these genes. The results showed that the histone modifications and DNA methylation study acted cooperatively to affect gene expression in GC.</p></sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title>Cell culture and treatment with epigenetic agents</title>
<p>The human MKN45, AGS, BGC823 and SGC7901 GC cell lines were obtained from the Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences (Shanghai, China). The immortalized GES1 normal gastric cell line was obtained from the oncology Institute of China Medical University. The cells were cultured in RPMI-1640 medium supplemented with 10% fetal bovine serum (Gibco-BRL, Grand Island, NY, USA) and incubated at 37&#x000B0;C in a humidified 5% Co<sub>2</sub> atmosphere. The four GC lines were incubated in culture media with 5 <italic>&#x003BC;</italic>M of the DNA methyltransferase (DNMT) inhibitor 5-aza-2&#x02032;-deoxycytidine (DAC) for 3 days, and 0.3 <italic>&#x003BC;</italic>M of the histone deacetylase (HDAC) inhibitor trichostatin A (TSA) (both from Sigma-Aldrich, St. Louis, MO, USA) for 1 day. The time, dose and sequence of DAC and/or TSA were based on previous studies (<xref rid="b11-or-33-05-2567" ref-type="bibr">11</xref>,<xref rid="b12-or-33-05-2567" ref-type="bibr">12</xref>).</p></sec>
<sec>
<title>Chromatin immunoprecipitation (ChIP) assay</title>
<p>Five million cells were crosslinked with 1% formaldehyde for 10 min at 37&#x000B0;C, and then 0.125 M of glycine was added to stop the crosslinking. After washing with ice-cold PBS, the cell pellets were resuspended in lysis buffer, and sonicated to generate 200 to 1,000-bp DNA fragments. The lysate was then divided into three fractions. The first lysate was precipitated using antibodies against Lys-9 trimethylated histone H3 (05-1242), Lys-9 acetylated histone H3 (07-352) and Lys-4 trimethylated histone H3 (07-472) (all from Millipore, Billerica, MA, USA) at 4&#x000B0;C overnight. The second lysate was incubated with normal rabbit IgG (Santa Cruz Biotechnology Inc., Santa Cruz, CA, USA) as a negative control. The third lysate was used as an input control. Protein G-Sepharose beads were added to collect the immunoprecipitated complexes and left them to incubate for 1 h at 4&#x000B0;C. After washing, the beads were treated with RNase (50 mg/ml) for 30 min at 37&#x000B0;C and then proteinase K overnight. The crosslinks were then reversed by heating the sample at 65&#x000B0;C for 6 h. DNA was extracted by the phenol/chloroform method, ethanol precipitated, and resuspended in 20 <italic>&#x003BC;</italic>l water.</p></sec>
<sec>
<title>ChIP-chip</title>
<p>Immunoaffinity-enriched DNA fragments (IP) and input samples were amplified using a Whole Genome Amplification kit (Sigma-Aldrich). Input and IP samples were labeled in separate reactions with Cy3 and Cy5, respectively and were co-hybridized to a Human 3 &#x000D7; 720K RefSeq Promoter Array (NimbleGen, Madison, WI, USA), containing 22,542 human promoter regions that cover a range from &#x02212;3,200 to +800 bp, relative to the transcription start site. The hybridized microarray slides were scanned using a GenePix 4000B scanner (Axon Instruments, Foster City, CA, USA). Data were extracted using NimbleScan software. From the normalized log2-ratio data, a permutation-based peak finding algorithm provided by NimbleScan version 2.3 (NimbleGen) was used to detect peaks that represented significant positive enrichment. To detect the peaks for histone modification, only the false discovery rate (FDR &lt;0.05) was considered for analysis.</p></sec>
<sec>
<title>ChIP-qPCR</title>
<p>ChIP was conducted in the same manner as for ChIP-chip. Briefly, immunoaffinity-enriched, input, and negative control DNA were used for PCR. Primers were designed based on the promoter structure of the genes selected for evaluating ChIP-chip data (<xref rid="tI-or-33-05-2567" ref-type="table">Table I</xref>). PCR products were visualized on a 2.5% agarose gel. For quantification, PCR amplification was performed on an ABI 7700 real-time PCR (Applied Biosystems, Foster City, CA, USA). PCR conditions included an initial denaturation step of 4 min at 95&#x000B0;C, followed by 35 cycles of 5 sec at 95&#x000B0;C, 30 sec at 59&#x000B0;(60&#x000B0;)C and 20 sec at 72&#x000B0;C. Quantitative ChIP-PCR values were normalized against values from a standard curve constructed using input DNA that was extracted for the ChIP experiment. ChIP experiments were repeated three times for each target gene.</p></sec>
<sec>
<title>RNA extraction and reverse-transcriptase quantitative polymerase chain reaction (RT-qPCR)</title>
<p>Total RNA was extracted from cells and tissues with TRIzol reagent (Invitrogen, Carlsbad, CA, USA) according to the manufacturer&#x02019;s instructions. The quality and concentration of RNA were measured by ultraviolet absorbance at 260 and 280 nm (A260/A280 ratio) and checked by agarose gel electrophoresis individually. Total RNA was reverse transcribed into cDNA using an Expand Reverse Transcriptase kit (Takara, Dalian, China). Expression of PSD mRNA was detected using qPCR under the following conditions: 95&#x000B0;C for 30 sec, 35 cycles of 95&#x000B0;C for 5 sec and 60&#x000B0;C for 30 sec. The reaction mixture contained 12.5 <italic>&#x003BC;</italic>l SYBR-Green (Takara), 1 <italic>&#x003BC;</italic>l of each primer, 2 <italic>&#x003BC;</italic>l cDNA, and 8.5 <italic>&#x003BC;</italic>l diethylpyrocarbonate (DEPC)-treated water. The PCR primers used for each gene in this analysis are shown in <xref rid="tII-or-33-05-2567" ref-type="table">Table II</xref>. Negative control used DEPC-treated water to replace cDNA templates for each PCR. The PSD level was expressed as C<sub>t</sub> after normalization to the levels of GAPDH mRNA. The experiment was performed in triplicate.</p></sec>
<sec>
<title>Methylation-specific PCR (MSP)</title>
<p>Genomic DNA was extracted from cells with phenolchloroform-isoamyl alcohol and collected by ethanol precipitation. Genomic DNA (2 <italic>&#x003BC;g</italic>) was treated with NaOH (2 M) at 42&#x000B0;C for 20 min. After denaturation, the DNA was incubated with hydroquinone and sodium bisulfate at 54&#x000B0;C for 16 h in the dark. DNA was purified using a DNA Cleanup kit (Promega, Madison, WI, USA), followed by incubation with 3 M NaOH at 37&#x000B0;C for 15 min, and precipitation with ammonium acetate and 100% ethanol at &#x02212;20&#x000B0;C overnight. The following day, DNA was washed with 70% ethanol, and dissolved in 15 <italic>&#x003BC;</italic>l TE buffer. The primers used for MSP were located in the promoter region of the genes (<xref rid="tIII-or-33-05-2567" ref-type="table">Table III</xref>). Peripheral blood cell DNA from healthy adults treated with SssI methyltransferase (New England Biolabs, Ipswich, MA, USA) and untreated DNA were used as positive and negative controls, respectively. PCR products were separated by electrophoresis on 2% agarose gels, and quantified using the Fluor Chen 2.0 system.</p></sec>
<sec>
<title>Statistical analysis</title>
<p>Statistical analyses were performed using SPSS version 17.0 (SPSS, Chicago, IL, USA). Quantitative data are shown as mean values &#x000B1; SD. Statistical analyses were performed using the independent sample t-test. P&lt;0.05 was considered statistically significant.</p></sec></sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title>Genome-wide analysis of histone modifications by ChIP-chip</title>
<p>TSG inactivation resulting from higher H3-K9 trimethylation, lower H3-K9 acetylation and H3-K4 trimethylation has been reported to be involved in carcinogenesis. We aimed to identify genes that underwent similar histone modifications in GC cells. We used a two-step strategy to analyze the data. First, we selected 134 candidate genes that showed a high ratio of H3-K9 trimethylation over acetylation (H3-K9Me3/H3-K9Ac &gt;2.0). The selected 20 genes with a high ratio of H3-K9 trimethylation over H3-K9 acetylation are presented in <xref rid="tIV-or-33-05-2567" ref-type="table">Table IV</xref>. We then analyzed 46 candidate genes that showed a high ratio of H3-K9 trimethylation over H3-K4 trimethylation (H3-K9Me3/H3-K4Me3 &gt;2.0). The selected 20 genes with a high ratio of H3-K9 trimethylation over H3-K4 trimethylation are presented in <xref rid="tV-or-33-05-2567" ref-type="table">Table V</xref>.</p></sec>
<sec>
<title>Validation for ChIP-chip data</title>
<p>To validate the microarray results, the selected genes, <italic>PSD, NLK, SMARCC1</italic> and <italic>Vps37A</italic> exhibited a high ratio of H3-K9 trimethylation over acetylation or a high ratio of H3-K9 methylation over H3-K4 trimethylation in the MKN45 cell line. These results were verified by ChIP-qPCR. As shown in <xref rid="tVI-or-33-05-2567" ref-type="table">Table VI</xref> and <xref rid="f1-or-33-05-2567" ref-type="fig">Fig. 1</xref>, qPCR results for the selected candidate genes were consistent with the ChIP-chip data.</p></sec>
<sec>
<title>Differential mRNA expression in GC cells</title>
<p>Using qRT-PCR to assess the mRNA expression levels of SMARCC1 and Vps37A, we found that SMARCC1 was downregulated in MKN45 (0.5377&#x000B1;0.01126), AGS (0.5697&#x000B1;0.00963), BGC823 (0.3157&#x000B1;0.0099) and SGC7901 (0.527&#x000B1;0.0046) cells compared to the normal mucosa cell line, GES-1 (1-fold, as was the control). Of note, the mRNA expression levels of Vps37A were similar between GC and GES-1 cells (<xref rid="f2-or-33-05-2567" ref-type="fig">Fig. 2</xref>).</p></sec>
<sec>
<title>Effects of 5-aza-2&#x02032;-DAC and TSA on gene re-expression</title>
<p>To determine whether epigenetic agents altered <italic>PSD, SMARCC1</italic> and <italic>Vps37A</italic> gene expression levels, we treated MKN45 cells with the DNMT inhibitor DAC, the HDAC inhibitor TSA, or a combined treatment of the two agents. Using RT-qPCR, we found that DAC and TSA had different effects on the expression of these genes in MKN45 cells. DAC alone restored PSD expression, whereas TSA had no effect on PSD expression. The combined treatment restored PSD expression levels similar to those observed after DAC treatment. DAC or TSA alone restored SMARCC1 expression and the combined treatment with the two agents restored SMARCC1 expression to a significantly greater degree than the treatment with either agent alone. Treatment with DAC and TSA, alone or in combination, had no significant effect on Vps37A expression (<xref rid="f3-or-33-05-2567" ref-type="fig">Fig. 3</xref>).</p></sec>
<sec>
<title>Expression of the PSD, SMARCC1 and Vps37A genes is associated with DNA methylation</title>
<p>To determine whether DNA methylation affected the expression levels of these genes, we assessed their DNA methylation status in MKN45 cell lines using MSP. We observed hypermethylation of the PSD promoter, partial methylation of the SMARCC1 promoter, and no methylation of the Vps37A promoter, suggesting that the methylation status of these gene promoters was partially responsible for the mRNA expression levels. In MKN45 cells, treatment with DAC resulted in demethylation of the PSD and SMARCC1 promoters, and treatment with TSA resulted in demethylation of the SMARCC1 promoter. However, TSA had no effect on the PSD promoter. Treatment with DAC, TSA or both had no effect on the Vps37A promoter (<xref rid="f4-or-33-05-2567" ref-type="fig">Fig. 4</xref>).</p></sec></sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>Epigenetic dysregulation of gene silencing plays a causal role in cancer development and progression. One of the most common epigenetic alterations in cancer results from histone modifications. Modifications of histone tails are thought to specify a code that regulates gene expression (<xref rid="b13-or-33-05-2567" ref-type="bibr">13</xref>). The emerging consensus is that high levels of H3-K9 trimethylation, and low levels of H3-K9 acetylation and H3-K4 trimethylation are associated with inactive genes. Previous studies of histone modifications were limited to single-gene disruption (?). However, accumulating evidence shows that multiple genes may simultaneously be involved in gastric tumorigenesis. Advances in high-throughput techniques have enabled the development of ChIP analysis combined with DNA microarray (ChIP-chip), making it possible to profile and quantify the expression of thousands of genes simultaneously. This new high-throughput method has been widely used in epigenetics (<xref rid="b14-or-33-05-2567" ref-type="bibr">14</xref>&#x02013;<xref rid="b17-or-33-05-2567" ref-type="bibr">17</xref>). Thus, in the present study, we used a ChIP-chip strategy to explore gene silencing events associated with higher levels of H3-K9 trimethylation, and lower levels of H3-K9 acetylation and H3-K4 trimethylation. These genes included TSG, oncogenes, cell adhesion molecules and cycle regulators, and apoptosis-regulating genes. We also used ChIP-qPCR to confirm the microarray data. We selected four genes with a high ratio of H3-K9 trimethylation over acetylation, or a high ratio of H3-K9 methylation over H3-K4 trimethylation. The <italic>NLK, PSD, SMARCC1</italic> and <italic>Vps37A</italic> genes were used to validate the microarray results in the MKN45 cell line, and the result consistency ultimately proved the value of this approach.</p>
<p>Among the candidates identified by ChIP-chip, PSD is a guanine nucleotide exchange factor for ADP-ribosylation factor 6 (ARF6) (<xref rid="b18-or-33-05-2567" ref-type="bibr">18</xref>), which regulates the membrane trafficking of small G proteins (<xref rid="b19-or-33-05-2567" ref-type="bibr">19</xref>). The PSD allele is located on human chromosome 10q24 and encodes a 71-kDa protein (<xref rid="b20-or-33-05-2567" ref-type="bibr">20</xref>). Okada <italic>et al</italic> (<xref rid="b21-or-33-05-2567" ref-type="bibr">21</xref>) reported that PSD was more frequently methylated in ulcerative colitis (UC)-associated colorectal cancer tissues than in non-neoplastic UC epithelia. Additionally, PSD mRNA expression levels were positively correlated with the methylation status of PSD. SMARCC1 is a member of the SWI/SNF complex that has been shown to have tumor-suppressive abilities related to cell cycle control (<xref rid="b22-or-33-05-2567" ref-type="bibr">22</xref>,<xref rid="b23-or-33-05-2567" ref-type="bibr">23</xref>). However, the expression and function of SMARCC1 in tumorigenesis remains unclear. Loss of SMARCC1 expression contributed to tumor development as a consequence of its location on chromosome band 3p21.31, which includes other suspected TSGs, such as <italic>SEM3B</italic> and <italic>FUS1</italic> (<xref rid="b24-or-33-05-2567" ref-type="bibr">24</xref>,<xref rid="b25-or-33-05-2567" ref-type="bibr">25</xref>). DelBove <italic>et al</italic> (<xref rid="b26-or-33-05-2567" ref-type="bibr">26</xref>) indicated that lower levels of SMARCC1 protein expression in an ovarian carcinoma cell line, SKoV3, closely correlated with mutations in exon 24. The human homologue of Vps37A (hVps37A) is located on the short arm of chromosome 8. In this region, 8p22, loss of heterozygosity (LOH) occurs at a high frequency in several human cancers (<xref rid="b27-or-33-05-2567" ref-type="bibr">27</xref>). Wittinger <italic>et al</italic> found that hVps37A was significantly downregulated in ovarian cancer and that hVps37A-deficient cells become non-responsive to inhibition by the therapeutic antibody cetuximab (<xref rid="b28-or-33-05-2567" ref-type="bibr">28</xref>).</p>
<p>However, the roles of the selected genes in GC have not been investigated. In the present study, as anticipated, there was a low level of SMARCC1 expression in GC cell lines compared to GES-1 cells. Of note, mRNA expression levels of Vps37A in GC cell lines were similar to GES-1 cells. This exception is probably a consequence of other epigenetic modifications associated with transcriptional activation in this gene. DNA methylation is the most widely studied epigenetic event. Recent investigations have indicated that aberrant DNA methylation is associated with GC (<xref rid="b29-or-33-05-2567" ref-type="bibr">29</xref>,<xref rid="b30-or-33-05-2567" ref-type="bibr">30</xref>). In order to gain a better understanding of these potential exceptions, we characterized DNA methylation. Our data confirmed hypermethylation of the PSD and SMARCC1 promoters, and hypomethylation of the Vps37A promoter. Additionally, epigenetic agents resulted in the demethylation of the PSD and SMARCC1 promoters and reversed PSD and SMARCC1 expression levels. However, there was no obvious change in Vps37A expression levels following treatment with epigenetic modifying agents.</p>
<p>In summary, data from our current study show that microarray profiling coupled with ChIP using anti-H3-K9 trimethylation and acetylation, as well as H3-K4 trimethylation antibodies is a useful approach for identifying target genes silenced by the epigenetic machinery. We also identified epigenetic mechanisms underlying the decreased expression of PSD and SMARCC1: DNA hypermethylation, hypertrimethylation of H3-K9 and hypotrimethylation of H3-K4 in the promoter domain. By contrast, Vps37A expression was mainly affected by DNA methylation, but not by H3-K9 trimethylation, H3-K9 acetylation or H3-K4 trimethylation. These novel candidate genes are potential biomarkers or future therapeutic targets. Further investigations are needed to clarify the roles of these candidate genes in the development of GC.</p></sec></body>
<back>
<ack>
<title>Acknowledgments</title>
<p>The present study was supported partly by a grant from the National Natural Science Foundation of China (grant no. 30572162), the Foundation of Liaoning Province Science and Technology Plan Project (grant no. 2013225021) and the Higher Specialized Research Fund for Doctoral Program of the Ministry of Education of China (grant no. 20102104110001).</p></ack>
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<floats-group>
<fig id="f1-or-33-05-2567" position="float">
<label>Figure 1</label>
<caption>
<p>Quantitative polymerase chain reaction verification of ChIP-chip data. (A) Representative graphs of ChIP-qPCR. (B) Quantitative ChPCR experiments were repeated three times. Average precipitate DNA/input DNA ratios shown on the y-axis are the relative values of H3-K9 trimethylation, H3-K9 acetylation and H3-K4 trimethylation at the selected genes promoter region. ChIP-chip, chromatin immunoprecipitation microarray.</p></caption>
<graphic xlink:href="OR-33-05-2567-g00.tif"/></fig>
<fig id="f2-or-33-05-2567" position="float">
<label>Figure 2</label>
<caption>
<p>RT-qPCR analysis of the selected genes mRNA expression in MKN45 cells. (A) Representative graphs of RT-PCR assay. (B) RT-qPCR analysis shows mRNA expression of the selected genes in GES1 cells and four different types of GC cell lines (<sup>&#x0002A;</sup>P&lt;0.05, <sup>&#x0002A;&#x0002A;</sup>P&lt; 0. 01). RT-qPCR, reverse-transcriptase quantitative polymerase chain reaction PCR.</p></caption>
<graphic xlink:href="OR-33-05-2567-g01.tif"/></fig>
<fig id="f3-or-33-05-2567" position="float">
<label>Figure 3</label>
<caption>
<p>RT-qPCR analysis of the selected genes mRNA expression following treatment with epigenetic agents in MKN45 (<sup>&#x0002A;</sup>P&lt;0.05, <sup>&#x0002A;&#x0002A;</sup>P&lt;0.01). RT-qPCR, reverse-transcriptase quantitative polymerase chain reaction PCR.</p></caption>
<graphic xlink:href="OR-33-05-2567-g02.tif"/></fig>
<fig id="f4-or-33-05-2567" position="float">
<label>Figure 4</label>
<caption>
<p>MSP analysis of DNA methylation of the selected genes following treatment with epigenetic agents in MKN45 cells. Lane M indicates the presence of methylated alleles. Lane U indicates the presence of unmethylated alleles. UP, non-methylation positive control; M P, methylation positive control; MSP, methylation-specific PCR.</p></caption>
<graphic xlink:href="OR-33-05-2567-g03.tif"/></fig>
<table-wrap id="tI-or-33-05-2567" position="float">
<label>Table I</label>
<caption>
<p>ChIP-qPCR primers used for validation of the ChIP-chip data.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Gene</th>
<th valign="top" align="center">Primer sequence (5&#x02192;3)</th>
<th valign="top" align="center">Annealing temperature (&#x000B0;C)</th>
<th valign="top" align="center">Size (bp)</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>PSD</italic></td>
<td valign="top" align="left">F: GACTGGCTTCTGTCGTCCTC<break/>R: GGCAGACAGTAAGAGCCTGG</td>
<td valign="top" align="center">60</td>
<td valign="top" align="center">190</td></tr>
<tr>
<td valign="top" align="left"><italic>NLK</italic></td>
<td valign="top" align="left">F: TGTCTATTTGGCCCAGGTTC<break/>R: AAAGGCAGAGTTTGGCTTGA</td>
<td valign="top" align="center">59</td>
<td valign="top" align="center">201</td></tr>
<tr>
<td valign="top" align="left"><italic>SMARCC1</italic></td>
<td valign="top" align="left">F: TTCAAGCAATTCTCCTGCCT<break/>R: CGCCTGTAATCCCAACACTT</td>
<td valign="top" align="center">59</td>
<td valign="top" align="center">183</td></tr>
<tr>
<td valign="top" align="left"><italic>Vps37A</italic></td>
<td valign="top" align="left">F: CAGTGCGAAGGTGCTGATAA<break/>R: ACGATGAACCTGAGAGGGTG</td>
<td valign="top" align="center">60</td>
<td valign="top" align="center">280</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-or-33-05-2567">
<p>F, forward primer; R, reverse primer; ChIP-chip, chromatin immunoprecipitation microarray; qPCR, quantitative polymerase chain reaction.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tII-or-33-05-2567" position="float">
<label>Table II</label>
<caption>
<p>Primers used for RT-qPCR analysis.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Gene</th>
<th valign="top" align="center">Primer sequence (5&#x02192;3)</th>
<th valign="top" align="center">Annealing temperature (&#x000B0;C)</th>
<th valign="top" align="center">Size (bp)</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>PSD</italic></td>
<td valign="top" align="left">F: CTGGGCAAGAACAATGACTTC<break/>R: GAGGACAGGGCTTCAGGATT</td>
<td valign="top" align="center">58</td>
<td valign="top" align="center">140</td></tr>
<tr>
<td valign="top" align="left"><italic>SMARCC1</italic></td>
<td valign="top" align="left">F: TGAACGGGAAGCTCACTGG<break/>R: TCCACCACCCTGTTGCTGTA</td>
<td valign="top" align="center">59</td>
<td valign="top" align="center">249</td></tr>
<tr>
<td valign="top" align="left"><italic>Vps37A</italic></td>
<td valign="top" align="left">F: CGCCAGCATCCACCACG<break/>R: TTGAGTTTGTGAATGAC</td>
<td valign="top" align="center">60</td>
<td valign="top" align="center">283</td></tr>
<tr>
<td valign="top" align="left"><italic>GAPDH</italic></td>
<td valign="top" align="left">F: CATGAGAAGTATGACAACAGCCT<break/>R: AGTCCTTCCACGATACCAAAGT</td>
<td valign="top" align="center">60</td>
<td valign="top" align="center">257</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn2-or-33-05-2567">
<p>F, forward primer; R, reverse primer; RT-PCR, reverse-transcriptase quantitative polymerase chain reaction.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tIII-or-33-05-2567" position="float">
<label>Table III</label>
<caption>
<p>Primers used for MSP analysis.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Gene</th>
<th valign="top" align="center">Primer sequence (5&#x02192;3)</th>
<th valign="top" align="center">Annealing temperature (&#x000B0;C)</th>
<th valign="top" align="center">Size (bp)</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>PSD-M</italic></td>
<td valign="top" align="left">F: GTTGTAGGGAAGCGGTTC<break/>R: CGACCACGAAAAAAAACC</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">150</td></tr>
<tr>
<td valign="top" align="left"><italic>PSD-U</italic></td>
<td valign="top" align="left">F: AGGGTTGTAGGGAAGTGGTTT<break/>R: CAACCACAAAAAAAAACCTA</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">151</td></tr>
<tr>
<td valign="top" align="left"><italic>SMARCC1-M</italic></td>
<td valign="top" align="left">F: GGATTACGAGGTTAGGAGATC<break/>R: CGACTCACTACAAACTCCG</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">180</td></tr>
<tr>
<td valign="top" align="left"><italic>SMARCC1-U</italic></td>
<td valign="top" align="left">F: GGATTATGAGGTTAGGAGATT<break/>R: CAACTCACTACAAACTCCA</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">181</td></tr>
<tr>
<td valign="top" align="left"><italic>Vps37A-M</italic></td>
<td valign="top" align="left">F: TAGAGATAGTATTCGGCGGC<break/>R: TCAAAACGTACGAAAAACGA</td>
<td valign="top" align="center">59</td>
<td valign="top" align="center">130</td></tr>
<tr>
<td valign="top" align="left"><italic>Vps37A-U</italic></td>
<td valign="top" align="left">F: TTATAGAGATAGTATTTGGTG<break/>R: TCAAAACATACAAAAAACAAC</td>
<td valign="top" align="center">59</td>
<td valign="top" align="center">131</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn3-or-33-05-2567">
<p>F, forward primer; R, reverse primer; MSP, methylation-specific PCR.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tIV-or-33-05-2567" position="float">
<label>Table IV</label>
<caption>
<p>Twenty genes showing a high ratio of H3-K9 trimethylation over acetylation (H3-K9 Me3/H3-K9Ac &gt;2.0), identified by ChIP-CpG microarray.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Accession no.</th>
<th valign="top" align="center">Location</th>
<th valign="top" align="center">Gene symbol</th>
<th valign="top" align="center">Description</th>
<th valign="top" align="center">Fold-change</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">NM_170743</td>
<td valign="top" align="left">Chr 1: 24386073&#x02013;24386599</td>
<td valign="top" align="left"><italic>IL28RA</italic></td>
<td valign="top" align="left">Interleukin 28 receptor, &#x003B1; (interferon, <italic>&#x003BB;</italic> receptor)</td>
<td valign="top" align="center">4.14</td></tr>
<tr>
<td valign="top" align="left">NM_001145442</td>
<td valign="top" align="left">Chr 14: 19090441&#x02013;19091120</td>
<td valign="top" align="left"><italic>POTEM</italic></td>
<td valign="top" align="left">POTE ankyrin domain family, member M</td>
<td valign="top" align="center">3.58</td></tr>
<tr>
<td valign="top" align="left">NM_021080</td>
<td valign="top" align="left">Chr 1: 58488062&#x02013;58488534</td>
<td valign="top" align="left"><italic>DAB1</italic></td>
<td valign="top" align="left">Disabled homolog 1 (<italic>Drosophila</italic>)</td>
<td valign="top" align="center">3.19</td></tr>
<tr>
<td valign="top" align="left">NM_005186</td>
<td valign="top" align="left">Chr 11: 64705434&#x02013;64705961</td>
<td valign="top" align="left"><italic>CAPN1</italic></td>
<td valign="top" align="left">Calpain 1, (mu/I) large subunit</td>
<td valign="top" align="center">3.08</td></tr>
<tr>
<td valign="top" align="left">NM_014588</td>
<td valign="top" align="left">Chr 2: 25010707&#x02013;25011384</td>
<td valign="top" align="left"><italic>VSX1</italic></td>
<td valign="top" align="left">Visual system homeobox 1</td>
<td valign="top" align="center">2.99</td></tr>
<tr>
<td valign="top" align="left">NM_001145152<xref rid="tfn4-or-33-05-2567" ref-type="table-fn">a</xref></td>
<td valign="top" align="left">Chr 8: 17149196&#x02013;17149585</td>
<td valign="top" align="left"><italic>Vps37A</italic></td>
<td valign="top" align="left">Vacuolar protein sorting 37 homolog A</td>
<td valign="top" align="center">2.98</td></tr>
<tr>
<td valign="top" align="left">NM_001079526</td>
<td valign="top" align="left">Chr 2: 213724263&#x02013;213724861</td>
<td valign="top" align="left"><italic>IKZF2</italic></td>
<td valign="top" align="left">IKAROS family zinc finger 2</td>
<td valign="top" align="center">2.97</td></tr>
<tr>
<td valign="top" align="left">NM_153456</td>
<td valign="top" align="left">Chr 13: 95541348&#x02013;95541914</td>
<td valign="top" align="left"><italic>HS6ST3</italic></td>
<td valign="top" align="left">Heparan sulfate 6-O-sulfotransferase 3</td>
<td valign="top" align="center">2.96</td></tr>
<tr>
<td valign="top" align="left">NM_201269</td>
<td valign="top" align="left">Chr 1: 91259477&#x02013;91260224</td>
<td valign="top" align="left"><italic>ZNF644</italic></td>
<td valign="top" align="left">Zinc finger protein 644</td>
<td valign="top" align="center">2.95</td></tr>
<tr>
<td valign="top" align="left">NM_032991</td>
<td valign="top" align="left">Chr 4: 185807070&#x02013;185807632</td>
<td valign="top" align="left"><italic>CASP3</italic></td>
<td valign="top" align="left">Caspase-3, apoptosis-related cysteine peptidase</td>
<td valign="top" align="center">2.94</td></tr>
<tr>
<td valign="top" align="left">NM_138785</td>
<td valign="top" align="left">Chr 6: 149928999&#x02013;149929638</td>
<td valign="top" align="left"><italic>C6orf72</italic></td>
<td valign="top" align="left">Chromosome 6 open reading frame 72</td>
<td valign="top" align="center">2.94</td></tr>
<tr>
<td valign="top" align="left">NM_020680</td>
<td valign="top" align="left">Chr 11:65049471&#x02013;65049926</td>
<td valign="top" align="left"><italic>SCYL1</italic></td>
<td valign="top" align="left">SCY1-like 1 <italic>(S. cerevisiae)</italic></td>
<td valign="top" align="center">2.92</td></tr>
<tr>
<td valign="top" align="left">NM_024907</td>
<td valign="top" align="left">Chr 19: 44158164&#x02013;44158927</td>
<td valign="top" align="left"><italic>FBXO17</italic></td>
<td valign="top" align="left">F-box protein 17</td>
<td valign="top" align="center">2.92</td></tr>
<tr>
<td valign="top" align="left">NM_014718</td>
<td valign="top" align="left">Chr 12: 7173825&#x02013;7174446</td>
<td valign="top" align="left"><italic>CLSTN3</italic></td>
<td valign="top" align="left">Calsyntenin 3</td>
<td valign="top" align="center">2.92</td></tr>
<tr>
<td valign="top" align="left">NM_017924</td>
<td valign="top" align="left">Chr 14: 22633202&#x02013;22634021</td>
<td valign="top" align="left"><italic>C14orf119</italic></td>
<td valign="top" align="left">Chromosome 14 open reading frame 119</td>
<td valign="top" align="center">2.92</td></tr>
<tr>
<td valign="top" align="left">NM_022898</td>
<td valign="top" align="left">Chr 14: 98807632&#x02013;98808446</td>
<td valign="top" align="left"><italic>BCL11B</italic></td>
<td valign="top" align="left">B-cell CLL/lymphoma 11B (zinc finger protein)</td>
<td valign="top" align="center">2.90</td></tr>
<tr>
<td valign="top" align="left">NM_014229</td>
<td valign="top" align="left">Chr 22: 10832813&#x02013;10833404</td>
<td valign="top" align="left"><italic>SLC6A11</italic></td>
<td valign="top" align="left">Solute carrier family 6 member 11</td>
<td valign="top" align="center">2.90</td></tr>
<tr>
<td valign="top" align="left">NM_021255</td>
<td valign="top" align="left">Chr 14: 55654533&#x02013;55655026</td>
<td valign="top" align="left"><italic>PELI2</italic></td>
<td valign="top" align="left">Pellino homolog 2 (<italic>Drosophila</italic>)</td>
<td valign="top" align="center">2.89</td></tr>
<tr>
<td valign="top" align="left">NM_016231<xref rid="tfn4-or-33-05-2567" ref-type="table-fn">a</xref></td>
<td valign="top" align="left">Chr 17: 23392754&#x02013;23393241</td>
<td valign="top" align="left"><italic>NLK</italic></td>
<td valign="top" align="left">Nemo-like kinase</td>
<td valign="top" align="center">2.48</td></tr>
<tr>
<td valign="top" align="left">NM_003074<xref rid="tfn4-or-33-05-2567" ref-type="table-fn">a</xref></td>
<td valign="top" align="left">Chr 3: 47798031&#x02013;47798567</td>
<td valign="top" align="left"><italic>SMARCC1</italic></td>
<td valign="top" align="left">SWI/SNF-related, matrix-associated, actin-dependent regulator of chromatin, subfamily c, member 1</td>
<td valign="top" align="center">2.44</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn4-or-33-05-2567">
<label>a</label>
<p>Selected genes used for validation of the ChIP-chip data. ChIP-chip, chromatin immunoprecipitation microarray; Chr, chromosome.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tV-or-33-05-2567" position="float">
<label>Table V</label>
<caption>
<p>Twenty selected genes showing a high ratio of H3-K9 trimethylation over H3-K4 trimethylation (H3-K9 Me3/H3-K4Me3 &gt;2.0), identified by ChIP-CpG microarray.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Accession no.</th>
<th valign="top" align="center">Location</th>
<th valign="top" align="center">Gene symbol</th>
<th valign="top" align="center">Description</th>
<th valign="top" align="center">Fold-change</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">NM_002226</td>
<td valign="top" align="left">Chr14: 104705881&#x02013;104706590</td>
<td valign="top" align="left"><italic>JAG2</italic></td>
<td valign="top" align="left">Jagged 2</td>
<td valign="top" align="center">3.02</td></tr>
<tr>
<td valign="top" align="left">NM_001127899</td>
<td valign="top" align="left">ChrX: 49573893&#x02013;49574453</td>
<td valign="top" align="left"><italic>CLCN5</italic></td>
<td valign="top" align="left">Chloride channel 5</td>
<td valign="top" align="center">2.96</td></tr>
<tr>
<td valign="top" align="left">NM_032560</td>
<td valign="top" align="left">Chr14: 91045898&#x02013;91046864</td>
<td valign="top" align="left"><italic>SMEK1</italic></td>
<td valign="top" align="left">SMEK homolog 1, suppressor of mek1 (<italic>Dictyostelium</italic>)</td>
<td valign="top" align="center">2.95</td></tr>
<tr>
<td valign="top" align="left">NM_015500</td>
<td valign="top" align="left">Chr21: 42246382&#x02013;42246894</td>
<td valign="top" align="left"><italic>C2CD2</italic></td>
<td valign="top" align="left">C2 calcium-dependent domain containing 2</td>
<td valign="top" align="center">2.92</td></tr>
<tr>
<td valign="top" align="left">NM_003224</td>
<td valign="top" align="left">Chr20: 61809198&#x02013;61810017</td>
<td valign="top" align="left"><italic>ARFRP1</italic></td>
<td valign="top" align="left">ADP-ribosylation factor-related protein 1</td>
<td valign="top" align="center">2.92</td></tr>
<tr>
<td valign="top" align="left">NM_001101314</td>
<td valign="top" align="left">Chr7: 150128124&#x02013;150128968</td>
<td valign="top" align="left"><italic>TMEM176B</italic></td>
<td valign="top" align="left">Transmembrane protein 176B</td>
<td valign="top" align="center">2.91</td></tr>
<tr>
<td valign="top" align="left">NM_080622</td>
<td valign="top" align="left">Chr20: 61963760&#x02013;61964422</td>
<td valign="top" align="left"><italic>C20orf135</italic></td>
<td valign="top" align="left">Chromosome 20 open reading frame 135</td>
<td valign="top" align="center">2.90</td></tr>
<tr>
<td valign="top" align="left">NM_014618</td>
<td valign="top" align="left">Chr9: 121171512&#x02013;121171970</td>
<td valign="top" align="left"><italic>DBC1</italic></td>
<td valign="top" align="left">Deleted in bladder cancer 1</td>
<td valign="top" align="center">2.90</td></tr>
<tr>
<td valign="top" align="left">NM_001006</td>
<td valign="top" align="left">Chr4: 152239592&#x02013;152240103</td>
<td valign="top" align="left"><italic>RPS3A</italic></td>
<td valign="top" align="left">Ribosomal protein S3A</td>
<td valign="top" align="center">2.86</td></tr>
<tr>
<td valign="top" align="left">NM_002779<xref rid="tfn5-or-33-05-2567" ref-type="table-fn">a</xref></td>
<td valign="top" align="left">Chr10:104167927&#x02013;104168755</td>
<td valign="top" align="left"><italic>PSD</italic></td>
<td valign="top" align="left">Pleckstrin and Sec7 domain containing</td>
<td valign="top" align="center">2.60</td></tr>
<tr>
<td valign="top" align="left">NM_001012614</td>
<td valign="top" align="left">Chr4: 1232543&#x02013;1233011</td>
<td valign="top" align="left"><italic>CTBP1</italic></td>
<td valign="top" align="left">C-terminal binding protein 1</td>
<td valign="top" align="center">2.57</td></tr>
<tr>
<td valign="top" align="left">NM_001409</td>
<td valign="top" align="left">Chr1: 3517795&#x02013;3518285</td>
<td valign="top" align="left"><italic>MEGF6</italic></td>
<td valign="top" align="left">Multiple EGF-like-domains 6</td>
<td valign="top" align="center">2.46</td></tr>
<tr>
<td valign="top" align="left">NM_016231<xref rid="tfn5-or-33-05-2567" ref-type="table-fn">a</xref></td>
<td valign="top" align="left">Chr17: 23392754&#x02013;23393241</td>
<td valign="top" align="left"><italic>NLK</italic></td>
<td valign="top" align="left">Nemo-like kinase</td>
<td valign="top" align="center">2.45</td></tr>
<tr>
<td valign="top" align="left">NM_138328</td>
<td valign="top" align="left">Chr17: 27616688&#x02013;27617453</td>
<td valign="top" align="left"><italic>RHBDL3</italic></td>
<td valign="top" align="left">Rhomboid, veinlet-like 3 <italic>(Drosophila)</italic></td>
<td valign="top" align="center">2.39</td></tr>
<tr>
<td valign="top" align="left">NM_005923</td>
<td valign="top" align="left">Chr6: 137155422&#x02013;137155958</td>
<td valign="top" align="left"><italic>MAP3K5</italic></td>
<td valign="top" align="left">Mitogen-activated protein kinase 5</td>
<td valign="top" align="center">2.35</td></tr>
<tr>
<td valign="top" align="left">NM_003074<xref rid="tfn5-or-33-05-2567" ref-type="table-fn">a</xref></td>
<td valign="top" align="left">Chr3: 47798031&#x02013;47798567</td>
<td valign="top" align="left"><italic>SMARCC1</italic></td>
<td valign="top" align="left">SWI/SNF-related, matrix-associated, actin-dependent regulator of chromatin, subfamily c, member 1</td>
<td valign="top" align="center">2.30</td></tr>
<tr>
<td valign="top" align="left">NM_014806</td>
<td valign="top" align="left">Chr9: 35479779&#x02013;35480211</td>
<td valign="top" align="left"><italic>RUSC2</italic></td>
<td valign="top" align="left">RuN and SH3 domain containing 2</td>
<td valign="top" align="center">2.26</td></tr>
<tr>
<td valign="top" align="left">NM_015549</td>
<td valign="top" align="left">Chr14: 64241089&#x02013;64241538</td>
<td valign="top" align="left"><italic>PLEKHG3</italic></td>
<td valign="top" align="left">Pleckstrin homology domain containing, family G (with RhoGef domain) member 3</td>
<td valign="top" align="center">2.22</td></tr>
<tr>
<td valign="top" align="left">NM_001083591</td>
<td valign="top" align="left">Chr10: 11247329&#x02013;11247847</td>
<td valign="top" align="left"><italic>CELF2</italic></td>
<td valign="top" align="left">CuGBP, Elav-like family member 2</td>
<td valign="top" align="center">2.17</td></tr>
<tr>
<td valign="top" align="left">NM_001031807</td>
<td valign="top" align="left">Chr15: 65903316&#x02013;65904082</td>
<td valign="top" align="left"><italic>SKOR1</italic></td>
<td valign="top" align="left">SKI family transcriptional corepressor 1</td>
<td valign="top" align="center">2.10</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn5-or-33-05-2567">
<label>a</label>
<p>Selected genes used for validation of the ChIP-chip data; ChIP-chip, chromatin immunoprecipitation microarray.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tVI-or-33-05-2567" position="float">
<label>Table VI</label>
<caption>
<p>Results of ChIP-qPCR and ChIP-chip.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Variable</th>
<th valign="top" align="center"><italic>NLK</italic></th>
<th valign="top" align="center"><italic>PSD</italic></th>
<th valign="top" align="center"><italic>Vps37A</italic></th>
<th valign="top" align="center"><italic>SMARCC1</italic></th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">ChIP-qPCR</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;H3-K9Me3</td>
<td valign="top" align="center">0.9204&#x000B1;0.0069</td>
<td valign="top" align="center">0.8760&#x000B1;0.0049</td>
<td valign="top" align="center">0.8789&#x000B1;0.009</td>
<td valign="top" align="center">0.8811&#x000B1;0.0018</td></tr>
<tr>
<td valign="top" align="left">&#x02003;H3-K9Ac</td>
<td valign="top" align="center">0.3924&#x000B1;0.0024</td>
<td valign="top" align="center">0.3910&#x000B1;0.0015</td>
<td valign="top" align="center">0.3540&#x000B1;0.0058</td>
<td valign="top" align="center">0.3176&#x000B1;0.0015</td></tr>
<tr>
<td valign="top" align="left">&#x02003;H3-K4Me3</td>
<td valign="top" align="center">0.4185&#x000B1;0.0015</td>
<td valign="top" align="center">0.3909&#x000B1;0.0017</td>
<td valign="top" align="center">0.7920&#x000B1;0.0036</td>
<td valign="top" align="center">0.3708&#x000B1;0.0091</td></tr>
<tr>
<td valign="top" align="left">&#x02003;K9Me3/K9Ac</td>
<td valign="top" align="center">2.34</td>
<td valign="top" align="center">2.24</td>
<td valign="top" align="center">2.48</td>
<td valign="top" align="center">2.77</td></tr>
<tr>
<td valign="top" align="left">&#x02003;K9Me3/K4Me3</td>
<td valign="top" align="center">2.20</td>
<td valign="top" align="center">2.24</td>
<td valign="top" align="center">1.11</td>
<td valign="top" align="center">2.38</td></tr>
<tr>
<td valign="top" align="left">ChIP-chip</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;K9Me3/K9Ac</td>
<td valign="top" align="center">2.48</td>
<td valign="top" align="center">2.34</td>
<td valign="top" align="center">2.98</td>
<td valign="top" align="center">2.44</td></tr>
<tr>
<td valign="top" align="left">&#x02003;K9Me3/K4Me3</td>
<td valign="top" align="center">2.45</td>
<td valign="top" align="center">2.60</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">2.30</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn6-or-33-05-2567">
<p>ChIP-chip, chromatin immunoprecipitation microarray; qPCR, quantitative polymerase chain reaction.</p></fn></table-wrap-foot></table-wrap></floats-group></article>
