{"title":"Modeling non-genetic adaptation in tumor cells.","authors":"Edmund C Lattime, Subhajyoti De","doi":"10.1016/j.cels.2024.12.007","DOIUrl":null,"url":null,"abstract":"<p><p>Treatment resistance poses a significant challenge in the care of cancer patients. Hirsch et al. applied computational and genomic approaches, examining gene expression dynamics from a mouse model of melanoma at single-cell resolution to reveal that semi-heritable non-genetic alterations in tumor cell populations confer adaptive resistance to treatment.</p>","PeriodicalId":93929,"journal":{"name":"Cell systems","volume":"16 1","pages":"101166"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.cels.2024.12.007","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
Treatment resistance poses a significant challenge in the care of cancer patients. Hirsch et al. applied computational and genomic approaches, examining gene expression dynamics from a mouse model of melanoma at single-cell resolution to reveal that semi-heritable non-genetic alterations in tumor cell populations confer adaptive resistance to treatment.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
