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Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
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sscMap: an extensible Java application for connecting small-molecule drugs using gene-expression signatures.

Shu-Dong Zhang1, Timothy W Gant

  • 1MRC Toxicology Unit, Hodgkin Building, Lancaster Road, University of Leicester, Leicester, UK. sdz1@le.ac.uk

BMC Bioinformatics
|August 4, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces sscMap, a Java application for connectivity mapping. It identifies novel small molecule properties by comparing gene expression signatures, enhancing drug discovery and toxicology research.

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Area of Science:

  • Pharmacology
  • Toxicology
  • Bioinformatics

Background:

  • Connectivity mapping identifies small molecule properties via gene expression signatures.
  • A recent method enhances connectivity mapping specificity and sensitivity.

Purpose of the Study:

  • Introduce sscMap, a Java application for connectivity mapping.
  • Facilitate the identification of novel pharmacological and toxicological properties of small molecules.

Main Methods:

  • Utilizes a recently developed, robust connectivity mapping method.
  • Employs a Java application (sscMap) for analysis.
  • Incorporates a large, publicly available reference gene-expression dataset.

Main Results:

  • sscMap performs connectivity mapping using statistically significant connections.
  • The application includes a default reference dataset from the Broad Institute Connectivity Map 02.
  • Users can add custom reference profiles for broader applicability.

Conclusions:

  • sscMap enables statistically significant connections between gene signatures and reference profiles.
  • The software supports the use of custom reference profiles for future analysis.
  • sscMap enhances the utility of connectivity mapping for drug discovery and toxicology.