PICKLES

PICKLES aggregates and enables analysis of genome-scale CRISPR knockout fitness screens to characterize gene essentiality across human cell lines and tissue types.


Key Features:

  • Integrated CRISPR libraries: Integrates data from the Avana, Score, and TKOv3 whole-genome CRISPR libraries.
  • Data coverage: Compiles results from 1,162 whole-genome screens covering knockout fitness phenotypes for 18,959 genes.
  • Gene-level fitness profiles: Provides gene knockout fitness phenotypes across diverse human cell lines and tissue types.
  • Comparative analysis: Enables comparison of knockout fitness profiles with gene expression and mutation profiles.

Scientific Applications:

  • Gene Function Analysis: Identification and characterization of essential genes from knockout fitness phenotypes.
  • Comparative Genomics: Integration of fitness profiles with expression and mutation data to study gene interactions and regulatory mechanisms.
  • Drug Target Identification: Prioritization of genes critical for cell survival as potential therapeutic targets.

Methodology:

Leverages pooled genome-scale CRISPR knockout libraries (Avana, Score, TKOv3) to systematically disrupt gene function and compiles screen results into a centralized database for high-throughput analysis.

Topics

Details

Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
3/27/2023
Last Updated:
3/27/2023

Operations

Publications

Novak LC, Chou J, Colic M, Bristow CA, Hart T. PICKLES v3: the updated database of pooled in vitro CRISPR knockout library essentiality screens. Nucleic Acids Research. 2022;51(D1):D1117-D1121. doi:10.1093/nar/gkac982. PMID:36350677. PMCID:PMC9825567.

PMID: 36350677
PMCID: PMC9825567
Funding: - NIGMS: R35GM130119 - NCI Cancer Center: P30CA16672

Links