Defining the human macula transcriptome and candidate retinal disease genes using EyeSAGE.

ABSTRACT:

Purpose

To develop large-scale, high-throughput annotation of the human macula transcriptome and to identify and prioritize candidate genes for inherited retinal dystrophies, based on ocular-expression profiles using serial analysis of gene expression (SAGE).

Methods

Two human retina and two retinal pigment epithelium (RPE)/choroid SAGE libraries made from matched macula or midperipheral retina and adjacent RPE/choroid of morphologically normal 28- to 66-year-old donors and a human central retina longSAGE library made from 41- to 66-year-old donors were generated. Their transcription profiles were entered into a relational database, EyeSAGE, including microarray expression profiles of retina and publicly available normal human tissue SAGE libraries. EyeSAGE was used to ident

SUBMITTER: Bowes Rickman C 

PROVIDER: S-EPMC2813776 | biostudies-literature | 2006 Jun

REPOSITORIES: biostudies-literature