Abstract

Recent advancements in shRNA and Cas protein technologies have enabled functional screening methods targeting genes or non-coding regions using single or pooled shRNA and sgRNA. CRISPR-based systems have also been developed for modulating DNA accessibility, resulting in CRISPR-mediated interference (CRISPRi) or activation (CRISPRa) of targeted genes or genomic DNA elements. However, there is still a lack of software tools for integrating diverse array of functional genomics screening outputs that could offer a cohesive framework for comprehensive data integration. Here, we developed PitViper, a flexible and interactive open-source software designed to fill this gap, providing reliable results for the type of elements being screened. It is an end-to-end automated and reproducible bioinformatics pipeline integrating gold-standard methods for functional screening analysis. Our sensitivity analyses demonstrate that PitViper is a useful tool for identifying potential super-enhancer liabilities in a leukemia cell line through genome-wide CRISPRi-based screening. It offers a robust, flexible, and interactive solution for integrating data analysis and reanalysis from functional screening methods, making it a valuable resource for researchers in the field.

Details

Title
PitViper: a software for comparative meta-analysis and annotation of functional screening data
Author
Paul-Arthur Meslin 1 ; Kelly, Lois M 1 ; Benbarche, Salima 1 ; Lecourt, Séverine 1 ; Lin, Kevin H 2 ; Rutter, Justine C 2 ; Bassil, Christopher F 2 ; Itzykson, Raphael 1 ; Wood, Kris C 2 ; Puissant, Alexandre 1 ; Lobry, Camille 1   VIAFID ORCID Logo 

 Université de Paris Cité, Inserm U944 and CNRS UMR 7212, Institut de Recherche Saint Louis, Hôpital Saint Louis, APHP , 75010  Paris , France 
 Department of Pharmacology and Cancer Biology, Duke University , Durham , NC , USA 
Publication year
2024
Publication date
Jun 2024
Publisher
Oxford University Press
e-ISSN
26319268
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3168786571
Copyright
© The Author(s) 2024. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics. This work is published under https://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.