Stitch-seq: Scalable CRISPR gene expression response profiling
Single-cell profiling of genetic perturbations has expanded our ability to map causal links between genes and phenotypes; however, the high cost and technical complexity of current methods restrict systematic interrogation of dynamic cellular programs. Here, we present Stitch-seq, a high-throughput pooled functional genomics sequencing method enabling simultaneous capture of CRISPR perturbations and targeted gene and protein expression across millions of cells. Stitch-seq utilizes single-cell droplet-based overlap-extension reverse-transcription PCR reactions to physically link gene expression features of interest to perturbation identifiers without cell barcoding or extensive sequencing. We validated Stitch-seq's high fidelity using simplified models, benchmarked multi-omic Stitch-seq against single-cell RNA-sequencing in the MCF10A Epithelial-Mesenchymal Transition (EMT) model, and applied Stitch-seq to map transcriptional responses of MCF10A cells undergoing TGF-β-induced EMT to perturbations across five time points. By efficiently delivering large-scale multi-omic gene expression readouts, Stitch-seq provides a powerful and accessible modality for the routine dissection of complex biological pathways.
Authors
- Paul C Blainey (ORCID: https://orcid.org/0000-0002-4889-8783)
- Frances Riley Keer (ORCID: https://orcid.org/0009-0001-3723-3604)
- Aziz M AlKhafaji
Institutions
- Broad Institute (US)
- Allen Institute (US)
- Koch Institute for Integrative Cancer Research At MIT (US)
- Massachusetts Institute of Technology (US)
Publication Details
- Journal
- bioRxiv (Cold Spring Harbor Laboratory)
- Published
- 2026-04-30
- DOI
- https://doi.org/10.64898/2026.04.27.719216
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Broad Institute
- National Science Foundation Graduate Research Fellowship Program