Skip to content


  • Research news
  • Open Access

Retina enrichment

Genome Biology20023:spotlight-20021024-01

  • Published:


  • Retina
  • Human Genome
  • cDNA Library
  • Computational Approach
  • NCBI Database

Many of the genes associated with human retinal diseases are preferentially expressed in the retina, and this has motivated a search for retina-specific genes. In the Early Edition of the Proceedings of the National Academy of Sciences, Katsanis et al. describe a computational approach to selecting genes that might be linked to retinopathies. They mined the human subset of the NCBI database of ESTs (dbEST) for transcripts expressed in human retinal cDNA libraries and performed an in silico subtraction to identify retina-enriched sequences. Over 900 nonredundant clusters were isolated, including many of the known retinopathy-associated genes and others that were confirmed experimentally. Katsanis et al. mapped the ESTs onto the human genome and identified several candidate genesfor retinopathy disorders.


  1. RetNet, []
  2. Proceedings of the National Academy of Sciences, []
  3. A computational/functional genomics approach for the enrichment of the retinal transcriptome and the identification of positional candidate retinopathy genes, []
  4. Expressed sequence tags database, []
  5. RetBase, []


© BioMed Central Ltd 2002