Multicenter integrated analysis of noncoding CRISPRi screens

David Yao(Stanford University), Josh Tycko(Harvard University), Jin Woo Oh(Johns Hopkins University), Lexi R. Bounds(Duke University), Sager J. Gosai(Broad Institute), Lazaros Lataniotis(University of California, San Francisco), Ava Mackay-Smith(Duke University), Benjamin R. Doughty(Stanford University), Idan Gabdank(Stanford University), Henri Schmidt(Memorial Sloan Kettering Cancer Center), Tania Guerrero-Altamirano(Duke University), Keith Siklenka(Duke University), Katherine Guo(Stanford University), Alexander D. White(Stanford University), Ingrid Youngworth(Stanford University), Kalina Andreeva(Stanford University), Xingjie Ren(University of California, San Francisco), Alejandro Barrera(Duke University), Yunhai Luo(Stanford University), Galip Gürkan Yardımcı(Oregon Health & Science University), Ryan Tewhey(Jackson Laboratory), Anshul Kundaje(Stanford University), William J. Greenleaf(Chan Zuckerberg Initiative (United States)), Pardis C. Sabeti(Broad Institute), Christina S. Leslie(Memorial Sloan Kettering Cancer Center), Yuri Pritykin(Princeton University), Jill E. Moore(University of Massachusetts Chan Medical School), M Beer(Johns Hopkins University), Charles A. Gersbach(Duke University), Timothy E. Reddy(Duke University), Yin Shen(University of California, San Francisco), J Engreitz(Broad Institute), Michael C. Bassik(Stanford University), Steven K. Reilly(Yale University)
Nature Methods
March 19, 2024
Cited by 49Open Access
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Abstract

The ENCODE Consortium's efforts to annotate noncoding cis-regulatory elements (CREs) have advanced our understanding of gene regulatory landscapes. Pooled, noncoding CRISPR screens offer a systematic approach to investigate cis-regulatory mechanisms. The ENCODE4 Functional Characterization Centers conducted 108 screens in human cell lines, comprising >540,000 perturbations across 24.85 megabases of the genome. Using 332 functionally confirmed CRE-gene links in K562 cells, we established guidelines for screening endogenous noncoding elements with CRISPR interference (CRISPRi), including accurate detection of CREs that exhibit variable, often low, transcriptional effects. Benchmarking five screen analysis tools, we find that CASA produces the most conservative CRE calls and is robust to artifacts of low-specificity single guide RNAs. We uncover a subtle DNA strand bias for CRISPRi in transcribed regions with implications for screen design and analysis. Together, we provide an accessible data resource, predesigned single guide RNAs for targeting 3,275,697 ENCODE SCREEN candidate CREs with CRISPRi and screening guidelines to accelerate functional characterization of the noncoding genome.


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