April 2009
Volume 50, Issue 13
ARVO Annual Meeting Abstract  |   April 2009
Rpe65 Microarrays, From Genes to Phosphorylated Proteins
Author Affiliations & Notes
  • S. Bolay
    IRO - Inst. for Res. in Ophthalmology, Sion, Switzerland
  • R. Roduit
    IRO - Inst. for Res. in Ophthalmology, Sion, Switzerland
  • S. Cottet
    IRO - Inst. for Res. in Ophthalmology, Sion, Switzerland
  • D. F. Schorderet
    IRO - Inst. for Res. in Ophthalmology, Sion, Switzerland
    EPFL - Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
  • Footnotes
    Commercial Relationships  S. Bolay, None; R. Roduit, None; S. Cottet, None; D.F. Schorderet, None.
  • Footnotes
    Support  SC is supported by FNRS#3100A0-118336
Investigative Ophthalmology & Visual Science April 2009, Vol.50, 1930. doi:
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    • Get Citation

      S. Bolay, R. Roduit, S. Cottet, D. F. Schorderet; Rpe65 Microarrays, From Genes to Phosphorylated Proteins. Invest. Ophthalmol. Vis. Sci. 2009;50(13):1930.

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

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Purpose: : To describe a novel in silico method to gather and analyze data from high-throughput heterogeneous experimental procedures, i.e. gene and protein expression arrays.

Methods: : Each microarray is assigned to a database which handles common data (names, symbols, antibody codes, probe IDs, etc.). Links between informations are automatically generated from knowledge obtained in freely accessible databases (NCBI, Swissprot, etc). Requests can be made from any point of entry and the displayed result is fully customizable.

Results: : The initial database has been loaded with two sets of data: a first set of data originating from an Affymetrix-based retinal profiling performed in an RPE65 knock-out mouse model of Leber’s congenital amaurosis. A second set of data generated from a Kinexus microarray experiment done on the retinas from the same mouse model has been added. Queries display wild type versus knock out expressions at several time points for both genes and proteins.

Conclusions: : This freely accessible database allows for easy consultation of data and facilitates data mining by integrating experimental data and biological pathways.

Keywords: gene microarray 

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