{"title":"Single-cell omics decipher tumor evolution","authors":"Dekang Lv , Xuehong Zhang , Quentin Liu","doi":"10.1016/j.meomic.2021.100006","DOIUrl":null,"url":null,"abstract":"<div><p>Intra-tumor heterogeneity, the major cause of therapeutic resistance, results from the genetic, epigenetic and microenvironmental selective pressures during tumor progression. However, our knowledge of how this diversity emerges over time remains limited. Single-cell omics approaches, which provide high-resolution data on cellular composition, evolutionary dynamics and clonal relationships in tumor progression, have greatly expanded our toolkit for delineating tumor evolution. Here we summarize recent progress in decoding tumor evolution through single-cell omics measurements and discuss the challenges and opportunities in this emerging field.</p></div>","PeriodicalId":100914,"journal":{"name":"Medicine in Omics","volume":"2 ","pages":"Article 100006"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.meomic.2021.100006","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medicine in Omics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S259012492100002X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Intra-tumor heterogeneity, the major cause of therapeutic resistance, results from the genetic, epigenetic and microenvironmental selective pressures during tumor progression. However, our knowledge of how this diversity emerges over time remains limited. Single-cell omics approaches, which provide high-resolution data on cellular composition, evolutionary dynamics and clonal relationships in tumor progression, have greatly expanded our toolkit for delineating tumor evolution. Here we summarize recent progress in decoding tumor evolution through single-cell omics measurements and discuss the challenges and opportunities in this emerging field.