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Accession: PRJNA521541 ID: 521541

Identification of Functional Regulatory Elements in the Human Genome Using Pooled CRISPR Screens

Genome-scale pooled CRISPR screens are powerful tools for identifying genetic dependencies across varied cellular processes. The vast majority of CRISPR screens reported to date have focused exclusively on the perturbation of protein-coding gene function. However, protein-coding genes comprise <2% of the sequence space in the human genome leaving a substantial portion of the genome uninterrogated. Noncoding regions of the genome harbor important regulatory elements (e.g. promoters, enhancers, suppressors) that influence cellular processes but high-throughput methods for evaluating their essentiality have yet to be established. Here, we describe a CRISPR-based screening approach that facilitates the functional profiling of thousands of noncoding regulatory elements in parallel. We selected the tumor suppressor p53 as a model system and designed a pooled CRISPR library targeting thousands of p53 binding sites throughout the genome. Following transduction into dCas9-KRAB-expressing cells we identified several regulatory elements that influence cell proliferation. Moreover, we uncovered multiple elements that are required for the p53-mediated DNA damage response. Surprisingly, many of these elements are located deep within intergenic regions of the genome that have no prior functional annotations. This work diversifies the applications for pooled CRISPR screens and provides a framework for future functional studies focused on noncoding regulatory elements. Overall design: Pooled CRISPR screens targeting p53-regulated genes and p53 binding sites in human renal adenocarcinoma cells (769P)
AccessionPRJNA521541; GEO: GSE126320
ScopeMultispecies
PublicationsBorys SM et al., "Identification of functional regulatory elements in the human genome using pooled CRISPR screens.", BMC Genomics, 2020 Jan 31;21(1):107
SubmissionRegistration date: 8-Feb-2019
Children's Mercy Kansas City
RelevanceUnknown
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Resource NameNumber
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Sequence data
SRA Experiments29
Publications
PubMed1
PMC1
Other datasets
BioSample29
GEO DataSets1
GEO Data Details
ParameterValue
Data volume, Supplementary Mbytes1
SRA Data Details
ParameterValue
Data volume, Gbases9
Data volume, Mbytes3690

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