Long-lived metabolic enzymes in the Crystallin lens identified by pulse-labeling of mice and mass spectrometry
Abstract
The lenticular fiber cells are comprised of extremely long-lived proteins while still maintaining an active biochemical state. Dysregulation of these activities has been implicated in diseases such as age-related cataracts. However, the lenticular protein dynamics underlying health and disease is unclear. We sought to measure the global protein turnover rates in the eye using nitrogen-15 labeling of mice and mass spectrometry. We measured the 14N/15N-peptide ratios of 248 lens proteins, including Crystallin, Aquaporin, Collagen and enzymes that catalyze glycolysis and oxidation/reduction reactions. Direct comparison of lens cortex versus nucleus revealed little or no 15N-protein contents in most nuclear proteins, while there were a broad range of 14N/15N ratios in cortex proteins. Unexpectedly, like Crystallins, many enzymes with relatively high abundance in nucleus were also exceedingly long-lived. The slow replacement of these enzymes in spite of young age of mice suggests their potential roles in age-related metabolic changes in the lens.
Data availability
All data generated or analysed during this study are included in the manuscript and supporting files. Source data file (Supplementary data set) have been provided.
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Data from: Long-lived Metabolic Enzymes in the Crystalline Lens Identified by Pulse-labeling of Mice and Mass SpectrometryDryad Digital Repository, 10.5061/dryad.r6h8dr2.
Article and author information
Author details
Funding
National Institutes of Health (R01AG061787)
- Jeffrey N Savas
National Institutes of Health (R21AI131087)
- Jing Jin
National Institutes of Health (R01EY025799)
- Jing Jin
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Ethics
Animal experimentation: All animal procedures were approved by Institutional Animal Care and Use Committee of the Northwestern University (approved protocol number IS00000429 and IS00000862).
Copyright
© 2019, Liu et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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