Literature DB >> 25579607

Identification of rod- and cone-specific expression signatures to identify candidate genes for retinal disease.

Richard Holt1, Laurence Brown1, Suzanne Broadgate1, Rachel Butler1, Aarti Jagannath1, Susan Downes2, Stuart Peirson1, Stephanie Halford3.   

Abstract

Recent advances in technology have greatly increased our ability to identify genetic variants in individuals with retinal disease. However, determining which are likely to be pathogenic remains a challenging task. Using a transgenic coneless (cl) mouse model, together with rodless (rd/rd) and rodless/coneless (rd/rd cl) mice, we have characterised patterns of gene expression in the rod and cone photoreceptors at a genome-wide level. We examined the expression of >27,000 genes in the mice lacking rods, cones or both and compared them with wild type animals. We identified a list of 418 genes with highly significant changes in expression in one or more of the transgenic strains. Pathway analysis confirmed that expected Gene Ontology terms such as phototransduction were over-represented amongst these genes. However, many of these genes have no previously known function in the retina. Gene set enrichment analysis further demonstrated that the mouse orthologues of known human retinal disease genes were significantly enriched amongst those genes with decreased expression. Comparison of our data to human disease loci with no known causal genetic changes has highlighted genes with significant changes in expression making these strong candidates for further screening. These data add to the current literature through the utilisation of the specific cl and rd/rd cl models. Moreover, this study identifies genes that appear to be implicated in photoreceptor function thereby providing a valuable filter for variants identified by high-throughput sequencing in individuals with retinal disease.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cones; Disease; Expression; Mouse models; Photoreceptors; Retina; Rods; Vision

Mesh:

Year:  2015        PMID: 25579607     DOI: 10.1016/j.exer.2015.01.002

Source DB:  PubMed          Journal:  Exp Eye Res        ISSN: 0014-4835            Impact factor:   3.467


  1 in total

1.  Identifying mutations in Tunisian families with retinal dystrophy.

Authors:  Imen Habibi; Ahmed Chebil; Yosra Falfoul; Nathalie Allaman-Pillet; Fedra Kort; Daniel F Schorderet; Leila El Matri
Journal:  Sci Rep       Date:  2016-11-22       Impact factor: 4.379

  1 in total

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