Cargando…
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...
Autores principales: | , , , , |
---|---|
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 |
_version_ | 1784785670465650688 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9455854 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT gongyao hypdbafunctionallyannotatedwebbaseddatabaseoftheprolinehydroxylationproteome AT beheragaurav hypdbafunctionallyannotatedwebbaseddatabaseoftheprolinehydroxylationproteome AT erberluke hypdbafunctionallyannotatedwebbaseddatabaseoftheprolinehydroxylationproteome AT luoang hypdbafunctionallyannotatedwebbaseddatabaseoftheprolinehydroxylationproteome AT chenyue hypdbafunctionallyannotatedwebbaseddatabaseoftheprolinehydroxylationproteome |