title: Defining the human macula transcriptome and candidate retinal disease genes using EyeSAGE.
abstract: OBJECTIVE
  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 identify retina- and RPE-specific and -associated genes, and candidate genes for retina and RPE disease loci. Differential and/or cell-type specific expression was validated by quantitative and single-cell RT-PCR.
  
  
  RESULTS
  Cone photoreceptor-associated gene expression was elevated in the macula transcription profiles. Analysis of the longSAGE retina tags enhanced tag-to-gene mapping and revealed alternatively spliced genes. Analysis of candidate gene expression tables for the identified Bardet-Biedl syndrome disease gene (BBS5) in the BBS5 disease region table yielded BBS5 as the top candidate. Compelling candidates for inherited retina diseases were identified.
  
  
  CONCLUSIONS
  The EyeSAGE database, combining three different gene-profiling platforms including the authors' multidonor-derived retina/RPE SAGE libraries and existing single-donor retina/RPE libraries, is a powerful resource for definition of the retina and RPE transcriptomes. It can be used to identify retina-specific genes, including alternatively spliced transcripts and to prioritize candidate genes within mapped retinal disease regions.
authors.affiliation: Department of Ophthalmology, Duke University Medical Center, Durham, NC 27710, USA. bowes007@duke.edu
authors.forename: Catherine
authors.initials: C
authors.lastname: Bowes Rickman
authors.forename: Jessica N
authors.initials: JN
authors.lastname: Ebright
authors.forename: Zachary J
authors.initials: ZJ
authors.lastname: Zavodni
authors.forename: Ling
authors.initials: L
authors.lastname: Yu
authors.forename: Tianyuan
authors.initials: T
authors.lastname: Wang
authors.forename: Stephen P
authors.initials: SP
authors.lastname: Daiger
authors.forename: Graeme
authors.initials: G
authors.lastname: Wistow
authors.forename: Kathy
authors.initials: K
authors.lastname: Boon
authors.forename: Michael A
authors.initials: MA
authors.lastname: Hauser
mesh_terms: D000328:Adult; D000368:Aged; D016208:Databases, Factual; D005260:Female; D020869:Gene Expression Profiling; D005786:Gene Expression Regulation / Q000502:physiology*; D015723:Gene Library; D006801:Humans; D008266:Macula Lutea / Q000378:metabolism*; D008297:Male; D008875:Middle Aged; D020411:Oligonucleotide Array Sequence Analysis; D020419:Photoreceptor Cells, Vertebrate / Q000378:metabolism; D010857:Pigment Epithelium of Eye / Q000378:metabolism; D012333:RNA, Messenger / Q000378:metabolism; D012162:Retinal Degeneration / Q000235:genetics*; D020133:Reverse Transcriptase Polymerase Chain Reaction; D014158:Transcription, Genetic
chemical_list: D012333:RNA, Messenger