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DGEM--a microarray gene expression database for primary human disease tissues.

Yuni Xia1, Andrew Campen, Dan Rigsby

  • 1Department of Computer and Information Science, Indiana University-Purdue University Indianapolis, Indianapolis, Indiana, USA.

Molecular Diagnosis & Therapy
|June 16, 2007
PubMed
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The Disease-to-Gene Expression Mapper (DGEM) is a new resource for analyzing gene expression in human diseases. It aids in discovering disease biomarkers and potential drug targets by examining gene expression patterns.

Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Gene expression patterns reveal gene regulation in human tissues.
  • Analyzing primary human disease samples provides valuable clinical insights.
  • Large sample sizes and long-term data collection are crucial for disease studies.

Purpose of the Study:

  • To introduce the Disease-to-Gene Expression Mapper (DGEM) as a community resource.
  • To provide access to and analysis of gene expression profiling data from human diseases.
  • To facilitate the study of disease mechanisms, biomarker discovery, and drug target identification.

Main Methods:

  • Utilized Affymetrix oligonucleotide array datasets for over 40 human diseases and 1400 samples.
  • Normalized and stored data in a relational database.

Related Experiment Videos

  • Implemented a statistical-analysis pipeline to identify differentially expressed genes and associations with clinical parameters.

    • Main Results:

    • DGEM offers access to normalized gene expression data for numerous human diseases.
    • The system identifies genes with abnormal expression in disease tissues.
    • Analysis links gene expression to clinical parameters like cancer patient survival.

    Conclusions:

    • DGEM serves as a valuable tool for scientists and physicians.
    • It supports the study of disease mechanisms and the discovery of diagnostic/prognostic biomarkers.
    • DGEM aids in identifying novel gene targets for therapeutic development.