生物
计算生物学
清脆的
基因
基因座(遗传学)
表观遗传学
基因组
基因沉默
遗传学
作者
Steven K. Reilly,Sager J. Gosai,Alan Gutierrez,Ava Mackay-Smith,Jacob C. Ulirsch,Masahiro Kanai,Kousuke Mouri,Daniel Berenzy,Susan Kales,Gina M Butler,Adrianne Gladden-Young,Redwan M. Bhuiyan,Michael L. Stitzel,Hilary Finucane,Pardis C. Sabeti,R Tewhey
出处
期刊:Nature Genetics
[Springer Nature]
日期:2021-07-29
卷期号:53 (8): 1166-1176
被引量:35
标识
DOI:10.1038/s41588-021-00900-4
摘要
Effective interpretation of genome function and genetic variation requires a shift from epigenetic mapping of cis-regulatory elements (CREs) to characterization of endogenous function. We developed hybridization chain reaction fluorescence in situ hybridization coupled with flow cytometry (HCR–FlowFISH), a broadly applicable approach to characterize CRISPR-perturbed CREs via accurate quantification of native transcripts, alongside CRISPR activity screen analysis (CASA), a hierarchical Bayesian model to quantify CRE activity. Across >325,000 perturbations, we provide evidence that CREs can regulate multiple genes, skip over the nearest gene and display activating and/or silencing effects. At the cholesterol-level-associated FADS locus, we combine endogenous screens with reporter assays to exhaustively characterize multiple genome-wide association signals, functionally nominate causal variants and, importantly, identify their target genes. HCR–FlowFISH is a new approach to characterize CRISPR-perturbed cis-regulatory elements (CREs) via accurate quantification of native transcripts, alongside CRISPR activity screen analysis (CASA), a hierarchical Bayesian model to quantify CRE activity.
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