生物
癌症的体细胞进化
转录组
慢性淋巴细胞白血病
计算生物学
表观遗传学
谱系(遗传)
遗传学
基因
进化生物学
白血病
DNA甲基化
基因表达
作者
Catherine Gutierrez,Aziz Al’Khafaji,Eric Brenner,Kaitlyn E. Johnson,Satyen Gohil,Ziao Lin,Binyamin A. Knisbacher,R. Durrett,Shuqiang Li,Salma Parvin,Anat Biran,Wandi Zhang,Laura Z. Rassenti,Thomas J. Kipps,Kenneth J. Livak,Donna Neuberg,Anthony Letai,Gad Getz,Catherine J. Wu,Amy Brock
出处
期刊:Nature cancer
[Springer Nature]
日期:2021-07-12
卷期号:2 (7): 758-772
被引量:67
标识
DOI:10.1038/s43018-021-00222-8
摘要
Lineage-tracing methods have enabled characterization of clonal dynamics in complex populations, but generally lack the ability to integrate genomic, epigenomic and transcriptomic measurements with live-cell manipulation of specific clones of interest. We developed a functionalized lineage-tracing system, ClonMapper, which integrates DNA barcoding with single-cell RNA sequencing and clonal isolation to comprehensively characterize thousands of clones within heterogeneous populations. Using ClonMapper, we identified subpopulations of a chronic lymphocytic leukemia cell line with distinct clonal compositions, transcriptional signatures and chemotherapy survivorship trajectories; patterns that were also observed in primary human chronic lymphocytic leukemia. The ability to retrieve specific clones before, during and after treatment enabled direct measurements of clonal diversification and durable subpopulation transcriptional signatures. ClonMapper is a powerful multifunctional approach to dissect the complex clonal dynamics of tumor progression and therapeutic response. Wu and colleagues develop a barcoding tool, ClonMapper, which permits single-cell lineage tracing and clonal isolation and demonstrate its utility to study clonal dynamics in human CLL cells in the context of chemotherapy treatment and resistance.
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