Defining, distinguishing and detecting the contribution of heterogeneous methylation to cancer heterogeneity
DNA methylation is a fundamental means of epigenetic gene regulation that occurs in virtually all cell types. In many higher organisms, including humans, it plays vital roles in cell differentiation and homeostatic maintenance of cell phenotype. The control of DNA methylation has traditionally been...
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description | DNA methylation is a fundamental means of epigenetic gene regulation that occurs in virtually all cell types. In many higher organisms, including humans, it plays vital roles in cell differentiation and homeostatic maintenance of cell phenotype. The control of DNA methylation has traditionally been attributed to a highly coordinated, linear process, whose dysregulation has been associated with numerous pathologies including cancer, where it occurs early in, and even prior to, the development of neoplastic tissues. Recent experimental evidence has demonstrated that, contrary to prevailing paradigms, methylation patterns are actually maintained through inexact, dynamic processes. These processes normally result in minor stochastic differences between cells that accumulate with age. However, various factors, including cancer itself, can lead to substantial differences in intercellular methylation patterns, viz. methylation heterogeneity. Advancements in molecular biology techniques are just now beginning to allow insight into how this heterogeneity contributes to clonal evolution and overall cancer heterogeneity. In the current review, we begin by presenting a didactic overview of how the basal bimodal methylome is established and maintained. We then provide a synopsis of some of the factors that lead to the accrual of heterogeneous methylation and how this heterogeneity may lead to gene silencing and impact the development of cancerous phenotypes. Lastly, we highlight currently available methylation assessment techniques and discuss their suitability to the study of heterogeneous methylation. |
doi_str_mv | 10.1016/j.semcdb.2016.08.030 |
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Advancements in molecular biology techniques are just now beginning to allow insight into how this heterogeneity contributes to clonal evolution and overall cancer heterogeneity. In the current review, we begin by presenting a didactic overview of how the basal bimodal methylome is established and maintained. We then provide a synopsis of some of the factors that lead to the accrual of heterogeneous methylation and how this heterogeneity may lead to gene silencing and impact the development of cancerous phenotypes. 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In many higher organisms, including humans, it plays vital roles in cell differentiation and homeostatic maintenance of cell phenotype. The control of DNA methylation has traditionally been attributed to a highly coordinated, linear process, whose dysregulation has been associated with numerous pathologies including cancer, where it occurs early in, and even prior to, the development of neoplastic tissues. Recent experimental evidence has demonstrated that, contrary to prevailing paradigms, methylation patterns are actually maintained through inexact, dynamic processes. These processes normally result in minor stochastic differences between cells that accumulate with age. However, various factors, including cancer itself, can lead to substantial differences in intercellular methylation patterns, viz. methylation heterogeneity. Advancements in molecular biology techniques are just now beginning to allow insight into how this heterogeneity contributes to clonal evolution and overall cancer heterogeneity. In the current review, we begin by presenting a didactic overview of how the basal bimodal methylome is established and maintained. We then provide a synopsis of some of the factors that lead to the accrual of heterogeneous methylation and how this heterogeneity may lead to gene silencing and impact the development of cancerous phenotypes. Lastly, we highlight currently available methylation assessment techniques and discuss their suitability to the study of heterogeneous methylation.</description><subject>Animals</subject><subject>Cancer</subject><subject>DNA methylation</subject><subject>DNA Methylation - genetics</subject><subject>Epigenetics</subject><subject>Genetic Heterogeneity</subject><subject>Humans</subject><subject>Models, Genetic</subject><subject>Molecular diagnostics</subject><subject>Neoplasms - genetics</subject><subject>Stochastic Processes</subject><subject>Tumor heterogeneity</subject><issn>1084-9521</issn><issn>1096-3634</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9Uctu1DAUtRCIlsIfIOQlCxL8iuNskFDLS6rEBtaWHzcTj5K42E6l-Xs8nVLKhtW99jn33MdB6DUlLSVUvt-3GRbnbcvqqyWqJZw8QeeUDLLhkounx1yJZugYPUMvct4TQsTA5HN0xvpOMcHkOZqvYAxrWHfvsA-51GQLeaoBm9VjDwXc8ROXCbCLa0nBbiXEFccRTxVNcQcrxC3jBcp0mM0dWCJ2ZnWQHnFCObxEz0YzZ3h1Hy_Qz8-fflx-ba6_f_l2-fG6cULy0vSWS-NYpwapCO-dY4YC-NEbSxkVlg99B6NklAvrvSAwKmnMYKzr6Mis5Bfow0n3ZrMLeAd1bjPrmxQWkw46mqD_RdYw6V281ZLzQXFaBd7eC6T4a4Nc9BKyg3k2d7tqqrqh54wIVaniRHUp5pxgfGhDiT4apff6ZJQ-GqWJ0tWoWvbm8YgPRX-c-bsD1EPdBkg6uwD1pj6k6on2Mfy_w2_s3qrg</recordid><startdate>20170401</startdate><enddate>20170401</enddate><creator>Pisanic, Thomas R.</creator><creator>Athamanolap, Pornpat</creator><creator>Wang, Tza-Huei</creator><general>Elsevier Ltd</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>20170401</creationdate><title>Defining, distinguishing and detecting the contribution of heterogeneous methylation to cancer heterogeneity</title><author>Pisanic, Thomas R. ; Athamanolap, Pornpat ; Wang, Tza-Huei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c463t-7b36ac258968037cc2a1eedfdab1214b3975ef62134bdd40ef86aa9abc51f2b63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Animals</topic><topic>Cancer</topic><topic>DNA methylation</topic><topic>DNA Methylation - genetics</topic><topic>Epigenetics</topic><topic>Genetic Heterogeneity</topic><topic>Humans</topic><topic>Models, Genetic</topic><topic>Molecular diagnostics</topic><topic>Neoplasms - genetics</topic><topic>Stochastic Processes</topic><topic>Tumor heterogeneity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pisanic, Thomas R.</creatorcontrib><creatorcontrib>Athamanolap, Pornpat</creatorcontrib><creatorcontrib>Wang, Tza-Huei</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>Seminars in cell & developmental biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pisanic, Thomas R.</au><au>Athamanolap, Pornpat</au><au>Wang, Tza-Huei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Defining, distinguishing and detecting the contribution of heterogeneous methylation to cancer heterogeneity</atitle><jtitle>Seminars in cell & developmental biology</jtitle><addtitle>Semin Cell Dev Biol</addtitle><date>2017-04-01</date><risdate>2017</risdate><volume>64</volume><spage>5</spage><epage>17</epage><pages>5-17</pages><issn>1084-9521</issn><eissn>1096-3634</eissn><abstract>DNA methylation is a fundamental means of epigenetic gene regulation that occurs in virtually all cell types. 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subjects | Animals Cancer DNA methylation DNA Methylation - genetics Epigenetics Genetic Heterogeneity Humans Models, Genetic Molecular diagnostics Neoplasms - genetics Stochastic Processes Tumor heterogeneity |
title | Defining, distinguishing and detecting the contribution of heterogeneous methylation to cancer heterogeneity |
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