Genome-wide single-cell perturbation screens with VIPerturb-seq
CRISPR-based screening combined with single-cell sequencing (i.e. Perturb-seq) enables systematic mapping of genetic perturbations to molecular phenotypes. While Perturb-seq is well-suited to profile targeted subsets of regulators, scaling to genome-wide screens presents substantial cost and throughput challenges. Here we introduce VIPerturb-seq, a platform to facilitate routine genome-wide Perturb-seq experiments using probe-based detection workflows. We describe a split probe strategy for detection of genome-wide CRISPR libraries in fixed cells that enables (i) optional support for phenotypic enrichment of Very Important Perturbations (VIP) prior to single-cell profiling, and (ii) compatibility with combinatorial indexing workflows to further improve Perturb-seq throughput by 50-fold. Using a genome-wide CRISPRi library (GuEST-List), we demonstrate VIPerturb-seq on two genome-wide screens representing both unbiased and phenotypically enriched workflows. Our results demonstrate how the sensitivity, scalability, and efficiency of VIPerturb-seq can enable both individual labs with targeted research questions and large data generation platforms aiming to construct virtual cells.
Authors
- Isabella Mascio (ORCID: https://orcid.org/0000-0003-4794-5741)
- Alexandra Bradu (ORCID: https://orcid.org/0000-0002-2237-034X)
- Isabella N. Grabski (ORCID: https://orcid.org/0000-0002-0616-5469)
- John D. Blair (ORCID: https://orcid.org/0000-0001-7517-6148)
- Junsuk Lee
- Rahul Satija
- Cecilia McCormick
Institutions
- New York Genome Center (US)
- New York University (US)
Publication Details
- Journal
- bioRxiv (Cold Spring Harbor Laboratory)
- Published
- 2026-02-14
- DOI
- https://doi.org/10.64898/2026.02.12.705613
- Citations
- 1
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 22.24