Pan-cancer single-cell RNA-seq identifies recurring programs of cellular heterogeneity.

Pan-cancer single-cell RNA-seq identifies recurring programs of cellular heterogeneity.
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DOI:
10.1038/s41588-020-00726-6
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发表时间:
2020-11
期刊:
影响因子:
30.8
通讯作者:
Tirosh I
Tirosh I
中科院分区:
生物学1区
文献类型:
--
作者:
Kinker GS;Greenwald AC;Tal R;Orlova Z;Cuoco MS;McFarland JM;Warren A;Rodman C;Roth JA;Bender SA;Kumar B;Rocco JW;Fernandes PACM;Mader CC;Keren-Shaul H;Plotnikov A;Barr H;Tsherniak A;Rozenblatt-Rosen O;Krizhanovsky V;Puram SV;Regev A;Tirosh I

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Cultured cell lines are the workhorse of cancer research, but it is unclear to what extent they recapitulate the cellular heterogeneity observed among malignant cells in tumors. To address this, we used multiplexed single cell RNA-seq to profile ~200 cancer cell lines from 22 cancer types. We uncovered 12 expression programs that are recurrently heterogeneous within many cancer cell lines. These programs are associated with diverse biological processes including cell cycle, senescence, stress and interferon responses, epithelial-mesenchymal transition, and protein maturation and degradation. Notably, most of these recurrent programs of heterogeneity recapitulate those recently observed within human tumors. The similarity to tumors allowed us to prioritize specific cell lines as model systems of cellular heterogeneity. We used two such models to demonstrate the regulation and dynamics of an epithelial senescence-related program that is observed in subpopulations of cells within cell lines and tumors. We further demonstrate unique drug responses of these subpopulations, highlighting their potential clinical significance. Our work describes the landscape of cellular heterogeneity within diverse cancer cell lines, and identifies recurrent patterns of heterogeneity that are shared between tumors and specific cell lines.
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