Mapping the in vivo fitness landscape of lung adenocarcinoma tumor suppression in mice

被引：84

作者：

Rogers, Zoe N. ^{[1
]}

McFarland, Christopher D. ^{[2
]}

Winters, Ian P. ^{[1
]}

Seoane, Jose A. ^{[1
,3
,4
]}

Brady, Jennifer J. ^{[1
]}

Yoon, Stephanie ^{[5
]}

Curtis, Christina ^{[1
,3
,4
,6
]}

Petrov, Dmitri A. ^{[2
]}

Winslow, Monte M. ^{[1
,4
,6
,7
]}

机构：

[1] Stanford Univ, Sch Med, Dept Genet, Stanford, CA 94305 USA

[2] Stanford Univ, Dept Biol, Stanford, CA 94305 USA

[3] Stanford Univ, Sch Med, Dept Med Oncol, Stanford, CA USA

[4] Stanford Univ, Sch Med, Stanford Canc Inst, Stanford, CA 94305 USA

[5] MIT, Dept Biol, Cambridge, MA USA

[6] Stanford Univ, Sch Med, Canc Biol Program, Stanford, CA 94305 USA

[7] Stanford Univ, Sch Med, Dept Pathol, Stanford, CA 94305 USA

来源：

NATURE GENETICS | 2018年 / 50卷 / 04期

基金：

美国国家科学基金会;

关键词：

CELL-CYCLE; CANCER; DELIVERY; MODELS;

D O I：

10.1038/s41588-018-0083-2

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

The functional impact of most genomic alterations found in cancer, alone or in combination, remains largely unknown. Here we integrate tumor barcoding, CRISPR/Cas9-mediated genome editing and ultra-deep barcode sequencing to interrogate pairwise combinations of tumor suppressor alterations in autochthonous mouse models of human lung adenocarcinoma. We map the tumor suppressive effects of 31 common lung adenocarcinoma genotypes and identify a landscape of context dependence and differential effect strengths.

引用

页码：483 / +

页数：6

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