| Literature DB >> 35290801 |
Maxime Dhainaut1, Samuel A Rose2, Guray Akturk3, Aleksandra Wroblewska4, Sebastian R Nielsen4, Eun Sook Park5, Mark Buckup6, Vladimir Roudko3, Luisanna Pia4, Robert Sweeney6, Jessica Le Berichel6, C Matthias Wilk6, Anela Bektesevic4, Brian H Lee6, Nina Bhardwaj3, Adeeb H Rahman3, Alessia Baccarini4, Sacha Gnjatic3, Dana Pe'er7, Miriam Merad8, Brian D Brown9.
Abstract
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.Entities:
Keywords: CRISPR screens; Socs1; TGF beta; cancer immunology; interferon gamma; lung cancer; spatial genomics; spatial transcriptomics; tumor clonality; tumor microenvironment
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Year: 2022 PMID: 35290801 PMCID: PMC8992964 DOI: 10.1016/j.cell.2022.02.015
Source DB: PubMed Journal: Cell ISSN: 0092-8674 Impact factor: 66.850