Proteomics

Dataset Information

0

Human Retina Proteomics - Dissection of Human Retina and RPE-Choroid for Proteomic Analysis


ABSTRACT: Differences in regional protein expression within the human retina may explain molecular predisposition of specific regions to ophthalmic diseases like age-related macular degeneration, cystoid macular edema, retinitis pigmentosa, and diabetic retinopathy. To quantify protein levels in the human retina and identify patterns of differentially-expressed proteins, we collected foveal, macular, and peripheral retina punch biopsies from healthy donor eyes and analyzed protein content by liquid chromatography-tandem mass spectrometry (LC-MS/MS).

INSTRUMENT(S): LTQ Orbitrap Velos

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Retina

DISEASE(S): Disease Free

SUBMITTER: Vinit Mahajan  

LAB HEAD: Vinit Mahajan

PROVIDER: PXD008462 | Pride | 2018-02-26

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
11-234-ExtendedPSMReport.xls Xls
11-235-ExtendedPSMReport.xls Xls
11-236-ExtendedPSMReport.xls Xls
11-237-ExtendedPSMReport.xls Xls
11-238-ExtendedPSMReport.xls Xls
Items per page:
1 - 5 of 62
altmetric image

Publications

Dissection of Human Retina and RPE-Choroid for Proteomic Analysis.

Cabral Thiago T   Toral Marcus A MA   Velez Gabriel G   DiCarlo James E JE   Gore Anuradha M AM   Mahajan MaryAnn M   Tsang Stephen H SH   Bassuk Alexander G AG   Mahajan Vinit B VB  

Journal of visualized experiments : JoVE 20171112 129


The human retina is composed of the sensory neuroretina and the underlying retinal pigmented epithelium (RPE), which is firmly complexed to the vascular choroid layer. Different regions of the retina are anatomically and molecularly distinct, facilitating unique functions and demonstrating differential susceptibility to disease. Proteomic analysis of each of these regions and layers can provide vital insights into the molecular process of many diseases, including Age-Related Macular Degeneration  ...[more]

Publication: 1/2

Similar Datasets

2015-05-27 | E-GEOD-32614 | biostudies-arrayexpress
2014-11-27 | PXD001242 | Pride
2023-03-31 | GSE144300 | GEO
2024-01-18 | GSE230348 | GEO
2021-05-13 | GSE169046 | GEO
2023-01-12 | GSE220155 | GEO
2015-05-27 | GSE32614 | GEO
2024-07-25 | GSE227619 | GEO
2006-04-05 | GSE4601 | GEO
2021-12-01 | GSE189770 | GEO