Literature DB >> 12131875

The microarray: potential applications for ophthalmic research.

Ann S Wilson1, Bridget G Hobbs, Terence P Speed, P Elizabeth Rakoczy.   

Abstract

The microarray is a revolutionary technology combining molecular biology and computer technology in the high throughput, simultaneous analysis of global gene expression. It is emerging as a powerful and valuable research tool that holds great promise in elucidating the molecular mechanisms involved in complex diseases. The information gained may provide direction toward identifying appropriate targets for therapeutic intervention. Despite the enormous potential of this technology, however, a number of issues exist that complicate gene expression analysis and require further resolution. This paper reviews these issues as well as the conceptual, practical and statistical aspects of microarray technology, including its current use in research and clinical applications. Furthermore, the advantages and potential benefits of this technology in ophthalmic research are discussed, with particular attention to retinal diseases, and its possible application in the identification of genes involved in ocular disease progression that may serve as clinical markers or potential therapeutic targets.

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Year:  2002        PMID: 12131875

Source DB:  PubMed          Journal:  Mol Vis        ISSN: 1090-0535            Impact factor:   2.367


  4 in total

1.  Comparing the use of Affymetrix to spotted oligonucleotide microarrays using two retinal pigment epithelium cell lines.

Authors:  Anna T Rogojina; William E Orr; Bong K Song; Eldon E Geisert
Journal:  Mol Vis       Date:  2003-10-06       Impact factor: 2.367

Review 2.  Gene profiling in experimental models of eye growth: clues to myopia pathogenesis.

Authors:  Richard A Stone; Tejvir S Khurana
Journal:  Vision Res       Date:  2010-04-02       Impact factor: 1.886

3.  Diagnostic challenges in retinitis pigmentosa: genotypic multiplicity and phenotypic variability.

Authors:  Susie Chang; Leah Vaccarella; Sunday Olatunji; Colleen Cebulla; John Christoforidis
Journal:  Curr Genomics       Date:  2011-06       Impact factor: 2.236

4.  Selection of reference genes for RT-qPCR normalization in blueberry (Vaccinium corymbosum × angustifolium) under various abiotic stresses.

Authors:  Yu Deng; Yadong Li; Haiyue Sun
Journal:  FEBS Open Bio       Date:  2020-06-23       Impact factor: 2.693

  4 in total

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