STEER-seq: a recombinase based platform for pooled multimodal single-cell perturbation screening
Migliori, V.; Suo, C.; Dufva, O.; Gyulev, I.; Polanski, K.; Symeonidou, V.; Rodschinka, G.; Sarropoulos, I.; Iwama, S.; Steemers, A. S.; Gontarczyk, A. M.; Powell, H.; Cujba, A.-M.; Park, J.-E. S.; Garnett, M.; Vassiliou, G. S.; Teichmann, S. A.; Bassett, A. R.
Show abstract
Pooled gain-of-function screening is a powerful method for screening for transcription factors whose overexpression leads to changes in cellular identity. However, variable transgene copy number, integration site and genomic context from random viral integration can confound quantitative comparisons between perturbations. We present STEER-seq (Single-cell Transgene Expression via Exchange Recombination sequencing), a virus-free platform for pooled ORF gain-of-function screening in human induced pluripotent stem cells (hiPSCs). STEER-seq combines irreversible Bxb1-mediated integration at a defined genomic safe-harbour locus with promoterless donor libraries and barcode-enabled perturbation tracking, enabling single-copy expression from a common promoter and genomic context and direct recovery of perturbation identity by single-cell sequencing. In a focused haematopoietic screen, SPI1 expression alone was sufficient to drive differentiation towards HSC/MPP-like progenitors in the absence of exogenous cytokines, with transient induction generating progenitors that retained multilineage haematopoietic differentiation potential. Joint RNA-chromatin accessibility profiling linked transcription factor-induced transcriptional responses to chromatin remodelling and enabled reconstruction of perturbation-induced gene regulatory networks, including a RUNX2-driven osteoblast programme. Scaling STEER-seq to around 2,000 human coding sequences enabled systematic discovery of transcription factors capable of inducing distinct cell-state programmes, including neural progenitor-, melanocyte- and vascular smooth muscle-like states, as well as maintenance of pluripotency. STEER-seq provides a scalable, quantitative framework for single-cell and multimodal gain-of-function screening, enabling functional discovery and engineering of human cell identity.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Enabling large-scale genome editing by reducing DNA nicking 95%
- Massively parallel reporter assay-informed modeling improves prediction of context-specific enhancer-gene regulatory interactions 94%
- Coralysis enables sensitive identification of imbalanced cell types and states in single-cell data via multi-level integration 93%
Similar papers in this journal
- Multiplexing cortical brain organoids for the longitudinal dissection of developmental traits at single cell resolution 94%
- Efficient combinatorial targeting of RNA transcripts in single cells with Cas13 RNA Perturb-seq 94%
- A Comprehensive Human Embryogenesis Reference Tool using Single-Cell RNA-Sequencing Data 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.