Computational prediction of CRISPR-impaired non-coding regulatory regions

  • Genome-wide CRISPR screens are becoming more widespread and allow the simultaneous interrogation of thousands of genomic regions. Although recent progress has been made in the analysis of CRISPR screens, it is still an open problem how to interpret CRISPR mutations in non-coding regions of the genome. Most of the tools concentrate on the interpretation of mutations introduced in gene coding regions. We introduce a computational pipeline that uses epigenomic information about regulatory elements for the interpretation of CRISPR mutations in non-coding regions. We illustrate our approach on the analysis of a genome-wide CRISPR screen in hTERT-RPE-1 cells and reveal novel regulatory elements that mediate chemoresistance against doxorubicin in these cells. We infer links to established and to novel chemoresistance genes. Our approach is general and can be applied on any cell type and with different CRISPR enzymes.

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Metadaten
Author:Nina BaumgartenORCiDGND, Florian SchmidtORCiD, Martin WegnerORCiD, Marie Hebel, Manuel KaulichORCiD, Marcel Holger SchulzORCiDGND
URN:urn:nbn:de:hebis:30:3-728531
DOI:https://doi.org/10.1101/2020.12.22.423923
Parent Title (English):bioRxiv
Document Type:Preprint
Language:English
Date of Publication (online):2020/12/22
Date of first Publication:2020/12/22
Publishing Institution:Universit├Ątsbibliothek Johann Christian Senckenberg
Release Date:2023/06/04
Issue:2020.12.22.423923
Page Number:16
Institutes:Medizin
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Sammlungen:Universit├Ątspublikationen
Licence (German):License LogoCreative Commons - CC BY-ND - Namensnennung - Keine Bearbeitungen 4.0 International