May 2007
Volume 48, Issue 13
Free
ARVO Annual Meeting Abstract  |   May 2007
Molecular Profiling of Midget and Parasol Retinal Ganglion Cells
Author Affiliations & Notes
  • G. Dvoriantchikova
    Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida
  • D. V. Ivanov
    Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida
    Vavilov Institute of General Genetics RAS, Moscow, Russian Federation
  • L. Nathanson
    Department of Molecular and Cellular Pharmacology/U of Miami, Miami, Florida
  • E. Hernandez
    Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida
  • V. I. Shestopalov
    Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida
    Department of Cell Biology and Anatomy/U of Miami, Miami, Florida
  • Footnotes
    Commercial Relationships G. Dvoriantchikova, None; D.V. Ivanov, None; L. Nathanson, None; E. Hernandez, None; V.I. Shestopalov, None.
  • Footnotes
    Support FFS fellowship PD05034 (D.I.); RPB Carreer Development and TGF grants (V.S.); unrestricted NIH center grant P30 EY014801; unrestricted grant to the U.Miami from RPB
Investigative Ophthalmology & Visual Science May 2007, Vol.48, 245. doi:
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    • Get Citation

      G. Dvoriantchikova, D. V. Ivanov, L. Nathanson, E. Hernandez, V. I. Shestopalov; Molecular Profiling of Midget and Parasol Retinal Ganglion Cells. Invest. Ophthalmol. Vis. Sci. 2007;48(13):245.

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

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Abstract

Purpose:: Different sub-types of mammalian retinal ganglion cells (RGC) possess distinct functions in processing visual information. Most commonly, RGC are divided into midget cells, which have smaller soma size, and the larger sized parasol cells. Parasol RGCs exhibit differential resistance to degeneration in a number of pathologies including glaucoma. In this work, we compared gene expression profiles of rat parasol and midget RGCs to identify molecular determinants underlying differences in function and tolerance to stress.

Methods:: We used fluorescent-activated cell sorting (FACS) to collect RGCs retrogradely labeled with 4DI-10ASP and to sort them into the two groups based on the size: large (15-30 µm, parasol) and small (6-12 µm, midget). Differences in gene expression between the parasol and midget RGCs were characterized using microarray profiling of mRNA from the isolated sub-types. We utilized two-color Agilent Genomic Oligo microarrays in a dye swap design experiment to eliminate dye bias effects. Differential expression was validated for a group of randomly selected genes using quantitative RT-PCR.

Results:: To extract statistically significant differences, ratiometric data were analyzed using the Significance Analysis of Microarrays with high statistical stringency (FDR<1%), we identified 145 genes that were preferentially expressed in the parasol RGCs and 312 genes that were preferentially expressed in the midget ones. We found 30 genes that showed more then 2-fold difference in either of the two types of neurons. Many differentially expressed genes are implicated in synaptic transmission, neurotransmitter secretion, axon guidance and ion transport. Genes representing the GO category "chemotaxis" were relatively upregulated in the parasol cells, while genes from GO category of "sodium ion transport" were more active in the midget ones. Using in silico functional reconstruction with the MetaCore software, we demonstrated that a network for IL1b-mediated chemokine signaling was relatively activated in the large rather then small RGCs.

Conclusions:: In this work, we demonstrated the feasibility of genome-wide characterization of two major sub-types of mammalian RGCs. The group of genes differentially expressed in parasol RGCs were characterized. Future experiments will test their relevance to the differential tolerance to stress.

Keywords: ganglion cells • gene/expression • gene microarray 
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