{"title":"聚光灯下的表观基因组肿瘤进化:单细胞方法的前景。","authors":"Céline Vallot","doi":"10.5802/crbiol.75","DOIUrl":null,"url":null,"abstract":"<p><p>Cancer evolution was long-reduced to a genetic equation. The latest technological and subsequent conceptual advances, catalyzed by single-cell approaches, now begin to reveal the long-suspected part played by epigenomic and transcriptomic mechanisms in cancer evolution. Lie ahead numerous challenges to integrate multi-modal measurements of individual cancer cells over time and space, while aiming for better disease management and the discovery of therapeutic targets and biomarkers.</p>","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Epigenomic tumor evolution under the spotlight: the promises of single-cell approaches.\",\"authors\":\"Céline Vallot\",\"doi\":\"10.5802/crbiol.75\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Cancer evolution was long-reduced to a genetic equation. The latest technological and subsequent conceptual advances, catalyzed by single-cell approaches, now begin to reveal the long-suspected part played by epigenomic and transcriptomic mechanisms in cancer evolution. Lie ahead numerous challenges to integrate multi-modal measurements of individual cancer cells over time and space, while aiming for better disease management and the discovery of therapeutic targets and biomarkers.</p>\",\"PeriodicalId\":0,\"journal\":{\"name\":\"\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0,\"publicationDate\":\"2022-05-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.5802/crbiol.75\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.5802/crbiol.75","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Epigenomic tumor evolution under the spotlight: the promises of single-cell approaches.
Cancer evolution was long-reduced to a genetic equation. The latest technological and subsequent conceptual advances, catalyzed by single-cell approaches, now begin to reveal the long-suspected part played by epigenomic and transcriptomic mechanisms in cancer evolution. Lie ahead numerous challenges to integrate multi-modal measurements of individual cancer cells over time and space, while aiming for better disease management and the discovery of therapeutic targets and biomarkers.