Data-Independent Acquisition Mass Spectrometry of the Human Lens Enhances Spatiotemporal Measurement of Fiber Cell Aging.
Lee S CantrellKevin L ScheyPublished in: Journal of the American Society for Mass Spectrometry (2021)
The ocular lens proteome undergoes post-translational and progressive degradation as fiber cells age. The oldest fiber cells and the proteins therein are present at birth and are retained through death. Transparency of the lens is maintained in part by the high abundance Crystallin family proteins (up to 300 mg/mL), which establishes a high dynamic range of protein abundance. As a result, previous data-dependent analysis (DDA) measurements of the lens proteome are less equipped to identify the lowest abundance proteins. To probe more deeply into the lens proteome, we measured the insoluble lens proteome of an 18-year-old human with DDA and data-independent analysis (DIA) methods. By applying more recent library-free DIA search methods, 5,161 protein groups, 50,386 peptides, and 4,960 deamidation sites were detected: significantly outperforming the quantity of identifications in using DDA and pan-human DIA library searches. Finally, by segmenting the lens into multiple fiber cell-age-related regions, we uncovered cell-age-related changes in proteome composition and putative function.
Keyphrases
- endothelial cells
- cataract surgery
- single cell
- mass spectrometry
- induced apoptosis
- electronic health record
- induced pluripotent stem cells
- cell therapy
- pluripotent stem cells
- antibiotic resistance genes
- cell cycle arrest
- big data
- multiple sclerosis
- small molecule
- high resolution
- amino acid
- oxidative stress
- artificial intelligence
- deep learning
- microbial community
- high performance liquid chromatography
- single molecule
- wastewater treatment
- gas chromatography