Literature DB >> 14519682

Gene expression variation in the adult human retina.

Itay Chowers1, Dongmei Liu, Ronald H Farkas, Tushara L Gunatilaka, Abigail S Hackam, Steven L Bernstein, Peter A Campochiaro, Giovanni Parmigiani, Donald J Zack.   

Abstract

Despite evidence that differences in gene expression levels contribute significantly to phenotypic variation across individuals, there has been only limited effort to study gene expression variation in human tissue. To characterize expression variation in the normal human retina, we utilized a custom retinal microarray to analyze 33 normal retinas from 19 donors, aged 29-90 years. Statistical models were designed to separate and quantify biological and technical sources of variation, including age, gender, eye laterality, gene function and age-by-gender interaction. Although the majority of the 9406 genes analyzed showed relatively stable expression levels across different donors (for an average gene the expression level value of 95 out of a 100 individuals fell within a 1.23-fold range), 2.6% of genes showed significant donor-to-donor variation, with a false discovery rate of 10%. The mean expression ratio standard deviation was 0.15+/-0.8, log2, with a range of 0.09-0.99. Genes selectively expressed in photoreceptors showed higher expression variation than other gene classes. Gender, age and other donor-specific factors contributed significantly to the expression variation of multiple genes, and groups of genes with an age- and gender-associated expression pattern were identified. Our findings show that a significant fraction of gene expression variation in the normal human retina is attributable to identifiable biological factors. The greater expression variability of many genes central to retinal function (including photoreceptor-specific genes) may be partially explained by the dynamics of the vision process, and raises the possibility that photoreceptor gene expression levels may contribute to phenotypic diversity across normal adult retinas. In addition, as such diversity may result in different levels of disease susceptibility, exploring its sources may provide insights into the pathogenesis of retinal disease.

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Year:  2003        PMID: 14519682     DOI: 10.1093/hmg/ddg326

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  27 in total

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

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5.  Microarray analysis of sexually dimorphic gene expression in human minor salivary glands.

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6.  Microarray-based gene expression analysis during retinal maturation of albino rats.

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7.  Transfer of lens-specific transcripts to retinal RNA samples may underlie observed changes in crystallin-gene transcript levels after ischemia.

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Review 8.  Design and analysis issues in genome-wide somatic mutation studies of cancer.

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9.  Gene expression patterns in hypoxic and post-hypoxic adult rat retina with special reference to the NMDA receptor and its interactome.

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10.  Variability of DNA microarray gene expression profiles in cultured rat primary hepatocytes.

Authors:  Jun Xu; Xutao Deng; Victor Chan; Nancy Kelley-Loughnane; Brent W Harker; Leming Shi; Saber M Hussain; John M Frazier; Charles Wang
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