TY  - INPR
A1  - Baumgarten, Nina
A1  - Schmidt, Florian
A1  - Wegner, Martin
A1  - Hebel, Marie
A1  - Kaulich, Manuel
A1  - Schulz, Marcel Holger
T1  - Computational prediction of CRISPR-impaired non-coding regulatory regions
T2  - bioRxiv
N2  - 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.
Y1  - 2020
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/72853
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-728531
IS  - 2020.12.22.423923
ER  -