COLT-Cancer

COLT-Cancer enables genome-scale identification of genes essential for cancer cell survival and proliferation using pooled lentiviral shRNA screening.


Key Features:

  • Extensive Gene Coverage: Utilizes a comprehensive lentiviral shRNA library targeting approximately 16,000 human genes for genome-wide functional perturbation.
  • Diverse Cancer Cell Lines: Contains screening data from more than 70 cancer cell lines, including breast, pancreatic, and ovarian cancer models.
  • Advanced Scoring Approach: Applies a dedicated scoring method to identify essential genes from pooled shRNA screen data.
  • Laboratory Information and Management System (LIMS): Captures and tracks detailed information from each step of the standardized pooled shRNA screening pipeline.
  • Gene-Centric Querying: Enables exploration of shRNA activities and gene-level responses within individual cell lines and across multiple cell lines.
  • Visualization of Performance Data: Provides visualization of shRNA- and gene-level performance metrics across cancer cell lines for comparative analysis.

Scientific Applications:

  • Therapeutic Target Identification: Identifies genes critical for cancer cell viability that can serve as candidate therapeutic targets.
  • Drug Discovery and Development: Supports prioritization of vulnerabilities for development of targeted cancer therapies.
  • Functional Genomics and Hypothesis Generation: Supplies a functional genetic map to generate and validate hypotheses about gene function in cancer biology.

Methodology:

High-throughput pooled shRNA screening using a lentiviral shRNA library followed by processing of resulting data through a scoring system to identify essential genes.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
JavaScript, Perl
Added:
3/30/2017
Last Updated:
11/25/2024

Operations

Publications

Koh JLY, Brown KR, Sayad A, Kasimer D, Ketela T, Moffat J. COLT-Cancer: functional genetic screening resource for essential genes in human cancer cell lines. Nucleic Acids Research. 2011;40(D1):D957-D963. doi:10.1093/nar/gkr959. PMID:22102578. PMCID:PMC3245009.