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Perturb-map enables CRISPR genomics with spatial resolution and identifies regulators of tumor immune composition

Dhainaut, M.; Rose, S. A.; Akturk, G.; Wroblewska, A.; Sook Park, E.; Nielsen, S. R.; Buckup, M.; Roudko, V.; Pia, L.; Le Berichel, J.; Bektesevic, A.; Lee, B. H.; Baccarini, A.; Bhardwaj, N.; Rahman, A. H.; Gnjatic, S.; Pe'er, D.; Merad, M.; Brown, B. D.

2021-07-14 immunology
10.1101/2021.07.13.451021 bioRxiv
Show abstract

The cellular architecture of a tumor, particularly immune composition, has a major impact on cancer outcome, and thus there is an interest in identifying genes that control the tumor microenvironment (TME). While CRISPR screens are helping uncover genes regulating many cell-intrinsic processes, existing approaches are suboptimal for identifying gene functions operating extracellularly or within a tissue context. To address this, we developed an approach for spatial functional genomics called Perturb-map, which utilizes protein barcodes (Pro-Code) to enable spatial detection of barcoded cells within tissue. We show >120 Pro-Codes can be imaged within a tumor, facilitating spatial mapping of 100s of cancer clones. We applied Perturb-map to knockout 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. Additionally, we paired Perturb-map and spatial transcriptomics for unbiased molecular analysis of Pro-Code/CRISPR lesions. Our studies found in Tgfbr2 knockout lesions, the TME was converted to a mucinous state and T-cells excluded, which was concomitant with increased TGF{beta} expression and pathway activation, suggesting Tgfbr2 loss on lung cancer cells enhanced suppressive effects of TGF{beta} on the TME. These studies establish Perturb-map for functional genomics within a tissue at single cell-resolution with spatial architecture preserved.

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