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HypDB: A functionally annotated web-based database of the proline hydroxylation proteome

Proline hydroxylation (Hyp) regulates protein structure, stability, and protein–protein interaction. It is widely involved in diverse metabolic and physiological pathways in cells and diseases. To reveal functional features of the Hyp proteome, we integrated various data sources for deep proteome pr...

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Autores principales: Gong, Yao, Behera, Gaurav, Erber, Luke, Luo, Ang, Chen, Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9455854/
https://www.ncbi.nlm.nih.gov/pubmed/36026437
http://dx.doi.org/10.1371/journal.pbio.3001757
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author Gong, Yao
Behera, Gaurav
Erber, Luke
Luo, Ang
Chen, Yue
author_facet Gong, Yao
Behera, Gaurav
Erber, Luke
Luo, Ang
Chen, Yue
author_sort Gong, Yao
collection PubMed
description Proline hydroxylation (Hyp) regulates protein structure, stability, and protein–protein interaction. It is widely involved in diverse metabolic and physiological pathways in cells and diseases. To reveal functional features of the Hyp proteome, we integrated various data sources for deep proteome profiling of the Hyp proteome in humans and developed HypDB (https://www.HypDB.site), an annotated database and web server for Hyp proteome. HypDB provides site-specific evidence of modification based on extensive LC-MS analysis and literature mining with 14,413 nonredundant Hyp sites on 5,165 human proteins including 3,383 Class I and 4,335 Class II sites. Annotation analysis revealed significant enrichment of Hyp on key functional domains and tissue-specific distribution of Hyp abundance across 26 types of human organs and fluids and 6 cell lines. The network connectivity analysis further revealed a critical role of Hyp in mediating protein–protein interactions. Moreover, the spectral library generated by HypDB enabled data-independent analysis (DIA) of clinical tissues and the identification of novel Hyp biomarkers in lung cancer and kidney cancer. Taken together, our integrated analysis of human proteome with publicly accessible HypDB revealed functional diversity of Hyp substrates and provides a quantitative data source to characterize Hyp in pathways and diseases.
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spelling pubmed-94558542022-09-09 HypDB: A functionally annotated web-based database of the proline hydroxylation proteome Gong, Yao Behera, Gaurav Erber, Luke Luo, Ang Chen, Yue PLoS Biol Methods and Resources Proline hydroxylation (Hyp) regulates protein structure, stability, and protein–protein interaction. It is widely involved in diverse metabolic and physiological pathways in cells and diseases. To reveal functional features of the Hyp proteome, we integrated various data sources for deep proteome profiling of the Hyp proteome in humans and developed HypDB (https://www.HypDB.site), an annotated database and web server for Hyp proteome. HypDB provides site-specific evidence of modification based on extensive LC-MS analysis and literature mining with 14,413 nonredundant Hyp sites on 5,165 human proteins including 3,383 Class I and 4,335 Class II sites. Annotation analysis revealed significant enrichment of Hyp on key functional domains and tissue-specific distribution of Hyp abundance across 26 types of human organs and fluids and 6 cell lines. The network connectivity analysis further revealed a critical role of Hyp in mediating protein–protein interactions. Moreover, the spectral library generated by HypDB enabled data-independent analysis (DIA) of clinical tissues and the identification of novel Hyp biomarkers in lung cancer and kidney cancer. Taken together, our integrated analysis of human proteome with publicly accessible HypDB revealed functional diversity of Hyp substrates and provides a quantitative data source to characterize Hyp in pathways and diseases. Public Library of Science 2022-08-26 /pmc/articles/PMC9455854/ /pubmed/36026437 http://dx.doi.org/10.1371/journal.pbio.3001757 Text en © 2022 Gong et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Methods and Resources
Gong, Yao
Behera, Gaurav
Erber, Luke
Luo, Ang
Chen, Yue
HypDB: A functionally annotated web-based database of the proline hydroxylation proteome
title HypDB: A functionally annotated web-based database of the proline hydroxylation proteome
title_full HypDB: A functionally annotated web-based database of the proline hydroxylation proteome
title_fullStr HypDB: A functionally annotated web-based database of the proline hydroxylation proteome
title_full_unstemmed HypDB: A functionally annotated web-based database of the proline hydroxylation proteome
title_short HypDB: A functionally annotated web-based database of the proline hydroxylation proteome
title_sort hypdb: a functionally annotated web-based database of the proline hydroxylation proteome
topic Methods and Resources
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9455854/
https://www.ncbi.nlm.nih.gov/pubmed/36026437
http://dx.doi.org/10.1371/journal.pbio.3001757
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