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RETINOBASE: a web database, data mining and analysis platform for gene expression data on retina.

Ravi Kiran Reddy Kalathur1, Nicolas Gagniere, Guillaume Berthommier

  • 1Laboratoire de Bioiformatique et de Genomique Integratives, Institut de Génétique et de Biologie Moléculaire et Céllulaire, CNRS/INSERM/ULP, BP 163, 67404 Illkirch Cedex, France. ravi@igbmc.u-strasbg.fr

BMC Genomics
|May 7, 2008
PubMed
Summary
This summary is machine-generated.

RETINOBASE is a new database for retinal gene expression profiling. It offers a framework for analyzing and comparing microarray data across multiple model systems to advance understanding of retinal diseases.

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Area of Science:

  • Ophthalmology and Vision Science
  • Bioinformatics and Computational Biology
  • Genomics and Molecular Biology

Background:

  • The retina converts light into neural signals, and cellular defects cause various retinal diseases.
  • Genomic and microarray technologies offer insights into retinal gene expression, but a dedicated database was lacking.

Purpose of the Study:

  • To develop RETINOBASE, a specialized microarray database for comprehensive retinal gene expression profiling.
  • To provide a platform for analyzing, visualizing, and comparing retinal gene expression data.

Main Methods:

  • RETINOBASE is a relational database integrating gene expression metadata.
  • Data is analyzed using RMA, dChip, and MAS5 methods, with K-means and mixture models for clustering.
  • The system includes "Gene Information," "Raw Data System Analysis," and "Fold change system Analysis" modules.

Main Results:

  • The database contains datasets from 28 microarray experiments across 5 model systems (drosophila, zebrafish, rat, mouse, human).
  • It enables efficient data retrieval, cross-comparison, and visualization of gene expression profiles.
  • A case study demonstrated the utility of RETINOBASE for biological hypothesis generation.

Conclusions:

  • RETINOBASE provides efficient access to global expression profiling of retinal genes.
  • It facilitates comparison and download of results from diverse biological scenarios.
  • The database supports optimized retinal data analysis and research into retinal diseases.