生物
清脆的
肿瘤微环境
背景(考古学)
转录组
功能基因组学
癌症研究
计算生物学
细胞生物学
基因组学
癌症
基因
遗传学
基因表达
基因组
古生物学
作者
Maxime Dhainaut,Samuel A. Rose,Güray Akturk,Aleksandra Wroblewska,Sebastian R. Nielsen,Eun Sook Park,Mark Buckup,Vladimir Roudko,Luisanna Pia,Robert E. Sweeney,Jessica Le Bérichel,C. Matthias Wilk,Anela Bektesevic,Brian H Lee,Nina Bhardwaj,Adeeb Rahman,Alessia Baccarini,Sacha Gnjatic,Dana Pe’er,Miriam Mérad,Brian D. Brown
出处
期刊:Cell
[Elsevier]
日期:2022-03-01
卷期号:185 (7): 1223-1239.e20
被引量:73
标识
DOI:10.1016/j.cell.2022.02.015
摘要
While CRISPR screens are helping uncover genes regulating many cell-intrinsic processes, existing approaches are suboptimal for identifying extracellular gene functions, particularly in the tissue context. Here, we developed an approach for spatial functional genomics called Perturb-map. We applied Perturb-map to knock out dozens of genes in parallel in a mouse model of lung cancer and simultaneously assessed how each knockout influenced tumor growth, histopathology, and immune composition. Moreover, we paired Perturb-map and spatial transcriptomics for unbiased analysis of CRISPR-edited tumors. We found that in Tgfbr2 knockout tumors, the tumor microenvironment (TME) was converted to a fibro-mucinous state, and T cells excluded, concomitant with upregulated TGFβ and TGFβ-mediated fibroblast activation, indicating that TGFβ-receptor loss on cancer cells increased TGFβ bioavailability and its immunosuppressive effects on the TME. These studies establish Perturb-map for functional genomics within the tissue at single-cell resolution with spatial architecture preserved and provide insight into how TGFβ responsiveness of cancer cells can affect the TME.
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