May 2008
Volume 49, Issue 13
Free
ARVO Annual Meeting Abstract  |   May 2008
Visualization of Different Organelles and Compartments in Photoreceptors
Author Affiliations & Notes
  • M. Haeri
    SUNY Upstate Medical Univ, Syracuse, New York
    Biochemistry & Molec Biology,
  • A. Adekeye
    SUNY Upstate Medical Univ, Syracuse, New York
    Biochemistry & Molec Biology,
  • S. Baker
    Eye Research Institute, Duke University Eye Center, Durham, North Carolina
  • V. Arshavsky
    Eye Research Institute, Duke University Eye Center, Durham, North Carolina
  • B. Knox
    SUNY Upstate Medical Univ, Syracuse, New York
    Ophthalmology & Biochemistry & Molec Biology,
  • Footnotes
    Commercial Relationships  M. Haeri, None; A. Adekeye, None; S. Baker, None; V. Arshavsky, None; B. Knox, None.
  • Footnotes
    Support  2R01EY011256
Investigative Ophthalmology & Visual Science May 2008, Vol.49, 1275. doi:
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    • Get Citation

      M. Haeri, A. Adekeye, S. Baker, V. Arshavsky, B. Knox; Visualization of Different Organelles and Compartments in Photoreceptors. Invest. Ophthalmol. Vis. Sci. 2008;49(13):1275.

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

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Abstract

Purpose: : To study the localization of selected proteins and to visualize major organelles and cellular compartments in photoreceptors using live cell imaging, we targeted fluorescent proteins to these locations via specific amino acid sequences.

Methods: : We prepared transgenic Xenopus tadpoles that expressed tagged fluorescent proteins in photoreceptors using the Xenopus rhodopsin promoter. Live and fixed retinas were examined by high resolution confocal imaging to determine the localization of fluorescent proteins.

Results: : We successfully targeted fluorescent protein to the photoreceptor endoplasmic reticulum and confirmed its localization by immunostaining. We also targeted Golgi apparatus, outer segment, mitochondria and nucleus. Using high definition confocal microscopy on live photoreceptors, we generated three dimensional images of above mentioned organelles and compartments.

Conclusions: : The 3D images of photoreceptors at subcellular resolution demonstrate detailed features of cell components which can be used for colocalization studies in live photoreceptor imaging.

Keywords: retina • photoreceptors • imaging/image analysis: non-clinical 
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