CRISP-view: a database of functional genetic screens spanning multiple phenotypes

Abstract High-throughput genetic screening based on CRISPR/Cas9 or RNA-interference (RNAi) enables the exploration of genes associated with the phenotype of interest on a large scale. The rapid accumulation of public available genetic screening data provides a wealth of knowledge about genotype-to-phenotype relationships and a valuable resource for the systematic analysis of gene functions. Here we present CRISP-view, a comprehensive database of CRISPR/Cas9 and RNAi screening datasets that span multiple phenotypes, including in vitro and in vivo cell proliferation and viability, response to cancer immunotherapy, virus response, protein expression, etc. By 22 September 2020, CRISP-view has collected 10 321 human samples and 825 mouse samples from 167 papers. All the datasets have been curated, annotated, and processed by a standard MAGeCK-VISPR analysis pipeline with quality control (QC) metrics. We also developed a user-friendly webserver to visualize, explore, and search these datasets. The webserver is freely available at http://crispview.weililab.org.

[1]  Chun Jimmie Ye,et al.  A Genome-wide CRISPR Screen in Primary Immune Cells to Dissect Regulatory Networks , 2015, Cell.

[2]  Jorge Andrade,et al.  Genome-wide CRISPR/Cas9 Screen Identifies Host Factors Essential for Influenza Virus Replication , 2018, Cell reports.

[3]  Shiyou Zhu,et al.  High-throughput screening of a CRISPR/Cas9 library for functional genomics in human cells , 2014, Nature.

[4]  M. Boutros,et al.  Phenotype databases for genetic screens in human cells. , 2017, Journal of biotechnology.

[5]  J. Kinney,et al.  Discovery of cancer drug targets by CRISPR-Cas9 screening of protein domains , 2015, Nature Biotechnology.

[6]  Antoine de Weck,et al.  Project DRIVE: A Compendium of Cancer Dependencies and Synthetic Lethal Relationships Uncovered by Large-Scale, Deep RNAi Screening , 2017, Cell.

[7]  Jeffry D. Sander,et al.  Efficient In Vivo Genome Editing Using RNA-Guided Nucleases , 2013, Nature Biotechnology.

[8]  Zhongzheng Cao,et al.  Genome-scale deletion screening of human long non-coding RNAs using a paired-guide RNA CRISPR–Cas9 library , 2016, Nature Biotechnology.

[9]  I. Huijbers,et al.  Haploid genetic screens identify SPRING/C12ORF49 as a determinant of SREBP signaling and cholesterol metabolism , 2020, Nature Communications.

[10]  Ann E. Sizemore,et al.  Computational correction of copy-number effect improves specificity of CRISPR-Cas9 essentiality screens in cancer cells , 2017, Nature Genetics.

[11]  M. Dowsett,et al.  Estrogen-regulated feedback loop limits the efficacy of estrogen receptor–targeted breast cancer therapy , 2018, Proceedings of the National Academy of Sciences.

[12]  Anne E Carpenter,et al.  Systematic genome-wide screens of gene function , 2004, Nature Reviews Genetics.

[13]  Gregory J. Hannon,et al.  Insight Review Articles , 2022 .

[14]  E. Lander,et al.  Genetic Screens in Human Cells Using the CRISPR-Cas9 System , 2013, Science.

[15]  Emanuel J. V. Gonçalves,et al.  Prioritization of cancer therapeutic targets using CRISPR–Cas9 screens , 2019, Nature.

[16]  Cytotoxicity of 1-deoxysphingolipid unraveled by genome-wide genetic screens and lipidomics in Saccharomyces cerevisiae , 2019, Molecular biology of the cell.

[17]  Neville E. Sanjana,et al.  High-resolution interrogation of functional elements in the noncoding genome , 2016, Science.

[18]  G. Hannon RNA interference : RNA , 2002 .

[19]  Jun S. Liu,et al.  MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens , 2014, Genome Biology.

[20]  Nir Hacohen,et al.  Minimizing the risk of reporting false positives in large-scale RNAi screens , 2006, Nature Methods.

[21]  Yilong Li,et al.  Genome-wide recessive genetic screening in mammalian cells with a lentiviral CRISPR-guide RNA library , 2013, Nature Biotechnology.

[22]  N. Perrimon,et al.  High-throughput RNAi screening in cultured cells: a user's guide , 2006, Nature Reviews Genetics.

[23]  Jun S. Liu,et al.  Quality control, modeling, and visualization of CRISPR screens with MAGeCK-VISPR , 2015, Genome Biology.

[24]  Neville E. Sanjana,et al.  Genome-Scale CRISPR-Cas9 Knockout Screening in Human Cells , 2014, Science.

[25]  Pablo Tamayo,et al.  Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[26]  Alexander P. Wu,et al.  Deciphering essential cistromes using genome-wide CRISPR screens , 2019, Proceedings of the National Academy of Sciences.

[27]  Matthew C. Canver,et al.  BCL11A enhancer dissection by Cas9-mediated in situ saturating mutagenesis , 2015, Nature.

[28]  Jan Winter,et al.  GenomeCRISPR - a database for high-throughput CRISPR/Cas9 screens , 2016, Nucleic Acids Res..

[29]  Hakho Lee,et al.  Genome-wide CRISPR Screen in a Mouse Model of Tumor Growth and Metastasis , 2015, Cell.

[30]  G. Traver Hart,et al.  PICKLES: the database of pooled in-vitro CRISPR knockout library essentiality screens , 2017, Nucleic Acids Res..

[31]  Kara Dolinski,et al.  The BioGRID interaction database: 2019 update , 2018, Nucleic Acids Res..

[32]  John G. Doench,et al.  In vivo CRISPR screening identifies Ptpn2 as a cancer immunotherapy target , 2017, Nature.

[33]  Sharon R Grossman,et al.  Systematic mapping of functional enhancer–promoter connections with CRISPR interference , 2016, Science.