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Cited by 298

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Selective oxidation of cysteine and methionine in normal and senile cataractous lenses.

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Garner, M H, Spector, A·1980·Proceedings of the National Academy of Sciences

Abstract

The oxidation state of methionine and cysteine in normal and cataractous lenses is reported. In young lenses no oxidation was detected in any protein fraction examined. Only the intrinsic membrane fraction and membrane-related components showed evidence of oxidation in old (60-65 years of age) normal lenses. However, in a similar age group, with the development of cataract, progressive, dramatic changes were observed. With severe cataracts, 60% or more of the methionine in membrane-associated components was found in the methionine sulfoxide form, and methionine sulfone was observed in one case. Most of the cysteine was found oxidized to either the disulfide form or putative cysteic acid. Mixed disulfides with glutathione were observed. Oxidative changes in soluble components as illustrated by alpha-crystallin occurred more gradually. The data clearly support the viewpoint that extensive oxidation of lens proteins occurs with cataract and that it begins at the lens fiber membrane.

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Metadata

Authors
Garner, M. H., & Spector, A.
Venue
Proceedings of the National Academy of Sciences
Published
1980-03
Volume
77
Issue
3
Pages
1274-1277
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1975980571
Cited by
298
References
0
FWCI
3.83
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Selective oxidation of cysteine and methionine in normal and senile cataractous lenses. https://app.cochat.ai/papers/10.1073/pnas.77.3.1274
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Garner, M. H., & Spector, A. (1980). Selective oxidation of cysteine and methionine in normal and senile cataractous lenses. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.77.3.1274

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.