December 2002
Volume 43, Issue 13
Free
ARVO Annual Meeting Abstract  |   December 2002
Identification of Genes Altered in Aging Retina Using Gene Microarrays
Author Affiliations & Notes
  • S Yoshida
    Ophthalmology
    University of Michigan Ann Arbor MI
  • T Carter
    Laboratory of Genetics The Salk Institute for Biological Studies La Jolla CA
  • S Hiriyanna
    Ophthalmology
    University of Michigan Ann Arbor MI
  • M Othman
    Ophthalmology
    University of Michigan Ann Arbor MI
  • A Hero
    Biomedical Engineering
    University of Michigan Ann Arbor MI
  • D Lockhart
    Laboratory of Genetics The Salk Institute for Biological Studies La Jolla CA
  • C Barlow
    Laboratory of Genetics The Salk Institute for Biological Studies La Jolla CA
  • A Swaroop
    Ophthalmology
    University of Michigan Ann Arbor MI
  • Footnotes
    Commercial Relationships   S. Yoshida, None; T. Carter, None; S. Hiriyanna, None; M. Othman, None; A. Hero, None; D. Lockhart, None; C. Barlow, None; A. Swaroop, None. Grant Identification: Support: NIH-EY11115 supplement, Macula Vision Research Foundation, Research to Prevent Blindness
Investigative Ophthalmology & Visual Science December 2002, Vol.43, 3921. doi:
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    • Get Citation

      S Yoshida, T Carter, S Hiriyanna, M Othman, A Hero, D Lockhart, C Barlow, A Swaroop; Identification of Genes Altered in Aging Retina Using Gene Microarrays . Invest. Ophthalmol. Vis. Sci. 2002;43(13):3921.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Abstract: : Purpose: To identify genes altered in aging retina that can serve as candidate for aging-dependent retinal diseases, including age-related macular degeneration. Methods: We have used Murine 74A GeneChip oligonucleotide microarrays (Affymetrix, Inc.) with approx. 6000 each known genes and expressed sequence tags (ESTs). The cRNA targets were generated from retinas from mice at 6 different points over the lifetimes. After hybridization and washing, the arrays were scanned and fluorescence intensities analyzed using Affymetrix Microarray Suit software and Checkmate 8.1. A novel clustering method based on multi-objective optimization was also applied to further extract changes in gene expression. Results: The genes that were differentially expressed during aging could be subdivided into functional categories of molecular chaperons and immune-related genes. The results of GeneChip analyses are currently being confirmed by fluorescent real-time RT-PCR. In Situ hybridization technique is being used to examine spatial expression patterns in the retina using a selected set of genes. Conclusion: Our results suggest that immune- and inflammatory-mediated processes may be involved in retinal aging. The careful use of gene microarrays can provide useful ways in identifying genes altered during retinal development and aging.

Keywords: 309 aging • 554 retina • 417 gene/expression 
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