DNA methylome and transcriptome sequencing in human ovarian granulosa cells links age-related changes in gene expression to gene body methylation and 3'-end GC density
Diminished ovarian function occurs early and is a primary cause for age-related decline in female fertility; however, its underlying mechanism remains unclear. This study investigated the roles that genome and epigenome structure play in age-related changes in gene expression and ovarian function, u...
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Veröffentlicht in: | Oncotarget 2015-02, Vol.6 (6), p.3627-3643 |
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description | Diminished ovarian function occurs early and is a primary cause for age-related decline in female fertility; however, its underlying mechanism remains unclear. This study investigated the roles that genome and epigenome structure play in age-related changes in gene expression and ovarian function, using human ovarian granulosa cells as an experimental system. DNA methylomes were compared between two groups of women with distinct age-related differences in ovarian functions, using both Methylated DNA Capture followed by Next Generation Sequencing (MethylCap-seq) and Reduced Representation Bisulfite Sequencing (RRBS); their transcriptomes were investigated using mRNA-seq. Significant, non-random changes in transcriptome and DNA methylome features are observed in human ovarian granulosa cells as women age and their ovarian functions deteriorate. The strongest correlations between methylation and the age-related changes in gene expression are not confined to the promoter region; rather, high densities of hypomethylated CpG-rich regions spanning the gene body are preferentially associated with gene down-regulation. This association is further enhanced where CpG regions are localized near the 3'-end of the gene. Such features characterize several genes crucial in age-related decline in ovarian function, most notably the AMH (Anti-Müllerian Hormone) gene. The genome-wide correlation between the density of hypomethylated intragenic and 3'-end regions and gene expression suggests previously unexplored mechanisms linking epigenome structure to age-related physiology and pathology. |
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This study investigated the roles that genome and epigenome structure play in age-related changes in gene expression and ovarian function, using human ovarian granulosa cells as an experimental system. DNA methylomes were compared between two groups of women with distinct age-related differences in ovarian functions, using both Methylated DNA Capture followed by Next Generation Sequencing (MethylCap-seq) and Reduced Representation Bisulfite Sequencing (RRBS); their transcriptomes were investigated using mRNA-seq. Significant, non-random changes in transcriptome and DNA methylome features are observed in human ovarian granulosa cells as women age and their ovarian functions deteriorate. The strongest correlations between methylation and the age-related changes in gene expression are not confined to the promoter region; rather, high densities of hypomethylated CpG-rich regions spanning the gene body are preferentially associated with gene down-regulation. This association is further enhanced where CpG regions are localized near the 3'-end of the gene. Such features characterize several genes crucial in age-related decline in ovarian function, most notably the AMH (Anti-Müllerian Hormone) gene. The genome-wide correlation between the density of hypomethylated intragenic and 3'-end regions and gene expression suggests previously unexplored mechanisms linking epigenome structure to age-related physiology and pathology.</description><identifier>ISSN: 1949-2553</identifier><identifier>EISSN: 1949-2553</identifier><identifier>DOI: 10.18632/oncotarget.2875</identifier><identifier>PMID: 25682867</identifier><language>eng</language><publisher>United States: Impact Journals LLC</publisher><subject>Adult ; Age Factors ; CpG Islands ; DNA - genetics ; DNA - metabolism ; DNA Methylation ; Female ; Gene Expression ; Genome-Wide Association Study ; Gerotarget (Focus on Aging): Research Paper ; Granulosa Cells - metabolism ; Granulosa Cells - physiology ; Humans ; Ovary - cytology ; Ovary - pathology ; Ovary - physiology ; Transcriptome</subject><ispartof>Oncotarget, 2015-02, Vol.6 (6), p.3627-3643</ispartof><rights>Copyright: © 2015 Yu et al. 2015</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c420t-8486bc2d4216d8d8a0c0a1c388c9d9642951410b6a4f203c150b719f1ca36ccb3</citedby><cites>FETCH-LOGICAL-c420t-8486bc2d4216d8d8a0c0a1c388c9d9642951410b6a4f203c150b719f1ca36ccb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4414142/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4414142/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25682867$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yu, Bo</creatorcontrib><creatorcontrib>Russanova, Valya R</creatorcontrib><creatorcontrib>Gravina, Silvia</creatorcontrib><creatorcontrib>Hartley, Stephen</creatorcontrib><creatorcontrib>Mullikin, James C</creatorcontrib><creatorcontrib>Ignezweski, Alice</creatorcontrib><creatorcontrib>Graham, James</creatorcontrib><creatorcontrib>Segars, James H</creatorcontrib><creatorcontrib>DeCherney, Alan H</creatorcontrib><creatorcontrib>Howard, Bruce H</creatorcontrib><title>DNA methylome and transcriptome sequencing in human ovarian granulosa cells links age-related changes in gene expression to gene body methylation and 3'-end GC density</title><title>Oncotarget</title><addtitle>Oncotarget</addtitle><description>Diminished ovarian function occurs early and is a primary cause for age-related decline in female fertility; however, its underlying mechanism remains unclear. This study investigated the roles that genome and epigenome structure play in age-related changes in gene expression and ovarian function, using human ovarian granulosa cells as an experimental system. DNA methylomes were compared between two groups of women with distinct age-related differences in ovarian functions, using both Methylated DNA Capture followed by Next Generation Sequencing (MethylCap-seq) and Reduced Representation Bisulfite Sequencing (RRBS); their transcriptomes were investigated using mRNA-seq. Significant, non-random changes in transcriptome and DNA methylome features are observed in human ovarian granulosa cells as women age and their ovarian functions deteriorate. The strongest correlations between methylation and the age-related changes in gene expression are not confined to the promoter region; rather, high densities of hypomethylated CpG-rich regions spanning the gene body are preferentially associated with gene down-regulation. This association is further enhanced where CpG regions are localized near the 3'-end of the gene. Such features characterize several genes crucial in age-related decline in ovarian function, most notably the AMH (Anti-Müllerian Hormone) gene. The genome-wide correlation between the density of hypomethylated intragenic and 3'-end regions and gene expression suggests previously unexplored mechanisms linking epigenome structure to age-related physiology and pathology.</description><subject>Adult</subject><subject>Age Factors</subject><subject>CpG Islands</subject><subject>DNA - genetics</subject><subject>DNA - metabolism</subject><subject>DNA Methylation</subject><subject>Female</subject><subject>Gene Expression</subject><subject>Genome-Wide Association Study</subject><subject>Gerotarget (Focus on Aging): Research Paper</subject><subject>Granulosa Cells - metabolism</subject><subject>Granulosa Cells - physiology</subject><subject>Humans</subject><subject>Ovary - cytology</subject><subject>Ovary - pathology</subject><subject>Ovary - physiology</subject><subject>Transcriptome</subject><issn>1949-2553</issn><issn>1949-2553</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVUU1v1DAQtRCIVqV3Tsg3uKT4K45zQaoWKEgVXOBsOfZs1pDYi-1U7C_ib-KwSym-PGtm3pvRewg9p-SKKsnZ6xhsLCaNUK6Y6tpH6Jz2om9Y2_LHD_5n6DLnb6S-VnSK9U_RGWulYkp25-jX20_XeIayO0xxBmyCwyWZkG3y-7JWMvxYIFgfRuwD3i2zCTjemeQrjnVymWI22MI0ZTz58D1jM0KTYDIFHLY7E0bIK3WEABh-7hPk7GPAJR5LQ3SH0wWmrI31Bv6ygQo3G-wgZF8Oz9CTrZkyXJ7wAn19_-7L5kNz-_nm4-b6trGCkdIooeRgmROMSqecMsQSQy1Xyvaul4L1LRWUDNKILSPc0pYMHe231BourR34BXpz1N0vwwzOQqh2THqf_GzSQUfj9f-d4Hd6jHdaiCosWBV4dRJIsTqXi559Xu0xAeKSNZVSdJ3kraij5DhqU8w5wfZ-DSX6T8T6X8R6jbhSXjw8757wN1D-GyDuqQY</recordid><startdate>20150228</startdate><enddate>20150228</enddate><creator>Yu, Bo</creator><creator>Russanova, Valya R</creator><creator>Gravina, Silvia</creator><creator>Hartley, Stephen</creator><creator>Mullikin, James C</creator><creator>Ignezweski, Alice</creator><creator>Graham, James</creator><creator>Segars, James H</creator><creator>DeCherney, Alan H</creator><creator>Howard, Bruce H</creator><general>Impact Journals LLC</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20150228</creationdate><title>DNA methylome and transcriptome sequencing in human ovarian granulosa cells links age-related changes in gene expression to gene body methylation and 3'-end GC density</title><author>Yu, Bo ; Russanova, Valya R ; Gravina, Silvia ; Hartley, Stephen ; Mullikin, James C ; Ignezweski, Alice ; Graham, James ; Segars, James H ; DeCherney, Alan H ; Howard, Bruce H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c420t-8486bc2d4216d8d8a0c0a1c388c9d9642951410b6a4f203c150b719f1ca36ccb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adult</topic><topic>Age Factors</topic><topic>CpG Islands</topic><topic>DNA - genetics</topic><topic>DNA - metabolism</topic><topic>DNA Methylation</topic><topic>Female</topic><topic>Gene Expression</topic><topic>Genome-Wide Association Study</topic><topic>Gerotarget (Focus on Aging): Research Paper</topic><topic>Granulosa Cells - metabolism</topic><topic>Granulosa Cells - physiology</topic><topic>Humans</topic><topic>Ovary - cytology</topic><topic>Ovary - pathology</topic><topic>Ovary - physiology</topic><topic>Transcriptome</topic><toplevel>online_resources</toplevel><creatorcontrib>Yu, Bo</creatorcontrib><creatorcontrib>Russanova, Valya R</creatorcontrib><creatorcontrib>Gravina, Silvia</creatorcontrib><creatorcontrib>Hartley, Stephen</creatorcontrib><creatorcontrib>Mullikin, James C</creatorcontrib><creatorcontrib>Ignezweski, Alice</creatorcontrib><creatorcontrib>Graham, James</creatorcontrib><creatorcontrib>Segars, James H</creatorcontrib><creatorcontrib>DeCherney, Alan H</creatorcontrib><creatorcontrib>Howard, Bruce H</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Oncotarget</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yu, Bo</au><au>Russanova, Valya R</au><au>Gravina, Silvia</au><au>Hartley, Stephen</au><au>Mullikin, James C</au><au>Ignezweski, Alice</au><au>Graham, James</au><au>Segars, James H</au><au>DeCherney, Alan H</au><au>Howard, Bruce H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>DNA methylome and transcriptome sequencing in human ovarian granulosa cells links age-related changes in gene expression to gene body methylation and 3'-end GC density</atitle><jtitle>Oncotarget</jtitle><addtitle>Oncotarget</addtitle><date>2015-02-28</date><risdate>2015</risdate><volume>6</volume><issue>6</issue><spage>3627</spage><epage>3643</epage><pages>3627-3643</pages><issn>1949-2553</issn><eissn>1949-2553</eissn><abstract>Diminished ovarian function occurs early and is a primary cause for age-related decline in female fertility; however, its underlying mechanism remains unclear. This study investigated the roles that genome and epigenome structure play in age-related changes in gene expression and ovarian function, using human ovarian granulosa cells as an experimental system. DNA methylomes were compared between two groups of women with distinct age-related differences in ovarian functions, using both Methylated DNA Capture followed by Next Generation Sequencing (MethylCap-seq) and Reduced Representation Bisulfite Sequencing (RRBS); their transcriptomes were investigated using mRNA-seq. Significant, non-random changes in transcriptome and DNA methylome features are observed in human ovarian granulosa cells as women age and their ovarian functions deteriorate. The strongest correlations between methylation and the age-related changes in gene expression are not confined to the promoter region; rather, high densities of hypomethylated CpG-rich regions spanning the gene body are preferentially associated with gene down-regulation. This association is further enhanced where CpG regions are localized near the 3'-end of the gene. Such features characterize several genes crucial in age-related decline in ovarian function, most notably the AMH (Anti-Müllerian Hormone) gene. The genome-wide correlation between the density of hypomethylated intragenic and 3'-end regions and gene expression suggests previously unexplored mechanisms linking epigenome structure to age-related physiology and pathology.</abstract><cop>United States</cop><pub>Impact Journals LLC</pub><pmid>25682867</pmid><doi>10.18632/oncotarget.2875</doi><tpages>17</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Age Factors CpG Islands DNA - genetics DNA - metabolism DNA Methylation Female Gene Expression Genome-Wide Association Study Gerotarget (Focus on Aging): Research Paper Granulosa Cells - metabolism Granulosa Cells - physiology Humans Ovary - cytology Ovary - pathology Ovary - physiology Transcriptome |
title | DNA methylome and transcriptome sequencing in human ovarian granulosa cells links age-related changes in gene expression to gene body methylation and 3'-end GC density |
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