| Literature DB >> 33500412 |
Ying Hon Sze1, Qian Zhao2,3, Jimmy Ka Wai Cheung1, King Kit Li1, Dennis Yan Yin Tse1,3, Chi Ho To1,3, Thomas Chuen Lam4,5.
Abstract
The retina is a key sensory tissue composed of multiple layers of cell populations that work coherently to process and decode visual information. Mass spectrometry-based proteomics approach has allowed high-throughput, untargeted protein identification, demonstrating the presence of these proteins in the retina and their involvement in biological signalling cascades. The comprehensive wild-type mouse retina proteome was prepared using a novel sample preparation approach, the suspension trapping (S-Trap) filter, and further fractionated with high-pH reversed phase chromatography involving a total of 28 injections. This data-dependent acquisition (DDA) approach using a Sciex TripleTOF 6600 mass spectrometer identified a total of 7,122 unique proteins (1% FDR), and generated a spectral library of 5,950 proteins in the normal C57BL/6 mouse retina. Data-independent acquisition (DIA) approach relies on a large and high-quality spectral library to analyse chromatograms, this spectral library would enable access to SWATH-MS acquisition to provide unbiased, multiplexed, and quantification of proteins in the mouse retina, acting as the most extensive reference library to investigate retinal diseases using the C57BL/6 mouse model.Entities:
Year: 2021 PMID: 33500412 PMCID: PMC7838270 DOI: 10.1038/s41597-021-00813-1
Source DB: PubMed Journal: Sci Data ISSN: 2052-4463 Impact factor: 6.444