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.
Original language | English |
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Pages (from-to) | 1223-1239.e20 |
Journal | Cell |
Volume | 185 |
Issue number | 7 |
DOIs | |
Publication status | Published - 31 Mar 2022 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2022 Elsevier Inc.
Keywords
- CRISPR screens
- Socs1
- TGF beta
- cancer immunology
- interferon gamma
- lung cancer
- spatial genomics
- spatial transcriptomics
- tumor clonality
- tumor microenvironment