生物
电池类型
癌细胞
背景(考古学)
人口
癌症
细胞
抗药性
计算生物学
遗传学
癌症研究
进化生物学
医学
古生物学
环境卫生
作者
Yogesh Goyal,Gianna T. Busch,Maalavika Pillai,Jingxin Li,Ryan H. Boe,Emanuelle I. Grody,Manoj Chelvanambi,Ian Dardani,Benjamin Emert,Nicholas Bodkin,Jonas Braun,Dylan Fingerman,Amanpreet Kaur,Naveen K. Jain,Pavithran T. Ravindran,Ian A. Mellis,Karun Kiani,Gretchen M. Alicea,Mitchell E. Fane,S. Ahmed
出处
期刊:Nature
[Nature Portfolio]
日期:2023-07-19
卷期号:620 (7974): 651-659
被引量:102
标识
DOI:10.1038/s41586-023-06342-8
摘要
Even among genetically identical cancer cells, resistance to therapy frequently emerges from a small subset of those cells1–7. Molecular differences in rare individual cells in the initial population enable certain cells to become resistant to therapy7–9; however, comparatively little is known about the variability in the resistance outcomes. Here we develop and apply FateMap, a framework that combines DNA barcoding with single-cell RNA sequencing, to reveal the fates of hundreds of thousands of clones exposed to anti-cancer therapies. We show that resistant clones emerging from single-cell-derived cancer cells adopt molecularly, morphologically and functionally distinct resistant types. These resistant types are largely predetermined by molecular differences between cells before drug addition and not by extrinsic factors. Changes in the dose and type of drug can switch the resistant type of an initial cell, resulting in the generation and elimination of certain resistant types. Samples from patients show evidence for the existence of these resistant types in a clinical context. We observed diversity in resistant types across several single-cell-derived cancer cell lines and cell types treated with a variety of drugs. The diversity of resistant types as a result of the variability in intrinsic cell states may be a generic feature of responses to external cues. Anti-cancer treatment often results in a subset of the clonal cell population developing resistance to therapy, with resistant cells displaying a diversity of fate types resulting from the intrinsic variability among the clonal population before treatment.
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