Simultaneous capture of single cell RNA-seq, ATAC-seq, and CRISPR perturbation enables multiomic screens to identify gene regulatory relationships
Here, we introduce CRISPR and transcriptomics-assay for transposase-accessible chromatin (CAT-ATAC), a technique that adds CRISPR guide RNA (gRNA) capture to the existing 10× Genomics Multiome assay, generating linked transcriptome, chromatin accessibility, and perturbation identity data from the same individual cells. We demonstrate up to 77% capture rate for both arrayed and pooled delivery of lentiviral gRNAs in induced pluripotent stem cells (iPSCs) and cancer cell lines. This capability allows us to construct gene regulatory networks (GRNs) in cells under drug and genetic perturbations. By applying CAT-ATAC, we identified a GRN associated with dasatinib resistance, indirectly activated by the HIC2 gene. Using loss-of-function experiments, we further validated that ZFPM2, a component of the predicted GRN, also contributes to dasatinib resistance. CAT-ATAC can thus be used to generate high-content multidimensional genotype-phenotype maps to reveal gene and cellular interactions and functions.
Authors
- Rustam Esanov
- Volkan Sevi̇m (ORCID: https://orcid.org/0000-0002-6553-7410)
- Shawn Shafer
- Kaivalya Shevade (ORCID: https://orcid.org/0000-0001-5681-3260)
- Scot Federman (ORCID: https://orcid.org/0000-0001-8712-3131)
- Rachel Mace (ORCID: https://orcid.org/0000-0002-7176-9189)
- Hasnaa A. Elfawy (ORCID: https://orcid.org/0000-0003-0258-3783)
- Gunisha Arora (ORCID: https://orcid.org/0000-0002-4702-1816)
- Laralynne Przybyla (ORCID: https://orcid.org/0000-0002-8598-4779)
- Eric D. Chow (ORCID: https://orcid.org/0000-0001-8079-918X)
- Yeqing Angela Yang (ORCID: https://orcid.org/0000-0002-9868-7431)
- K. Mäder
- J. Thomas Parsons
- Kevin Feng
Institutions
- University of California, San Francisco (US)
- GlaxoSmithKline (United States) (US)
- University of San Francisco (US)
Publication Details
- Journal
- Cell Reports Methods
- Published
- 2025-11-11
- DOI
- https://doi.org/10.1016/j.crmeth.2025.101222
- Citations
- 3
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 2.42