Using an experimental and computational framework inspired by compressed sensing, we greatly reduced the number of measurements needed to run Perturb-seq. Our compressed Perturb-seq strategy relies on collecting measurements comprising random linear combinations of genetic perturbations, followed by deconvolving the perturbation effects on the transcriptome using sparsity-exploiting algorithms.
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Fig. 1: Compressed Perturb-seq.
References
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This is a summary of: Yao, D. et al. Scalable genetic screening for regulatory circuits using compressed Perturb-seq. Nat. Biotechnol. https://doi.org/10.1038/s41587-023-01964-9 (2023).
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Compressed Perturb-seq enables highly efficient genetic screens.
Nat Biotechnol (2023). https://doi.org/10.1038/s41587-023-02003-3
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Published: 23 October 2023
DOI: https://doi.org/10.1038/s41587-023-02003-3
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