Titrating gene expression with series of systematically compromised CRISPR guide RNAs
Marco Jost, Daniel A. Santos, Reuben A. Saunders, Max A. Horlbeck, John S. Hawkins, Sonia M. Scaria, Thomas M. Norman, Jeffrey A. Hussmann, Christina R. Liem, Carol A. Gross, Jonathan S. Weissman
This paper develops a method to control gene expression using CRISPR interference and deep learning, revealing gene-specific expression-phenotype relationships.
Nature Biotechnology · Jan 13, 2020Peer-reviewedGenomics