Multimodal pooled Perturb-CITE-seq screens in patient models define mechanisms of cancer immune evasion
Author(s)
Frangieh, Chris J.; Melms, Johannes C.; Thakore, Pratiksha I.; Geiger-Schuller, Kathryn R.; Ho, Patricia; Luoma, Adrienne M.; Cleary, Brian; Jerby-Arnon, Livnat; Malu, Shruti; Cuoco, Michael S.; Zhao, Maryann; Ager, Casey R.; Rogava, Meri; Hovey, Lila; Rotem, Asaf; Bernatchez, Chantale; Wucherpfennig, Kai W.; Johnson, Bruce E.; Rozenblatt-Rosen, Orit; Schadendorf, Dirk; Regev, Aviv; Izar, Benjamin; ... Show more Show less
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© 2021, The Author(s), under exclusive licence to Springer Nature America, Inc. Resistance to immune checkpoint inhibitors (ICIs) is a key challenge in cancer therapy. To elucidate underlying mechanisms, we developed Perturb-CITE-sequencing (Perturb-CITE-seq), enabling pooled clustered regularly interspaced short palindromic repeat (CRISPR)–Cas9 perturbations with single-cell transcriptome and protein readouts. In patient-derived melanoma cells and autologous tumor-infiltrating lymphocyte (TIL) co-cultures, we profiled transcriptomes and 20 proteins in ~218,000 cells under ~750 perturbations associated with cancer cell-intrinsic ICI resistance (ICR). We recover known mechanisms of resistance, including defects in the interferon-γ (IFN-γ)–JAK/STAT and antigen-presentation pathways in RNA, protein and perturbation space, and new ones, including loss/downregulation of CD58. Loss of CD58 conferred immune evasion in multiple co-culture models and was downregulated in tumors of melanoma patients with ICR. CD58 protein expression was not induced by IFN-γ signaling, and CD58 loss conferred immune evasion without compromising major histocompatibility complex (MHC) expression, suggesting that it acts orthogonally to known mechanisms of ICR. This work provides a framework for the deciphering of complex mechanisms by large-scale perturbation screens with multimodal, single-cell readouts, and discovers potentially clinically relevant mechanisms of immune evasion.
Date issued
2021-03Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Department of BiologyJournal
Nature Genetics
Publisher
Springer Science and Business Media LLC
ISSN
1061-4036
1546-1718