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iProteinDB: An Integrative Database of Drosophila Post-translational Modifications
Post-translational modification (PTM) serves as a regulatory mechanism for protein function, influencing their stability, interactions, activity and localization, and is critical in many signaling pathways. The best characterized PTM is phosphorylation, whereby a phosphate is added to an acceptor re...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6325894/ https://www.ncbi.nlm.nih.gov/pubmed/30397019 http://dx.doi.org/10.1534/g3.118.200637 |
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author | Hu, Yanhui Sopko, Richelle Chung, Verena Foos, Marianna Studer, Romain A. Landry, Sean D. Liu, Daniel Rabinow, Leonard Gnad, Florian Beltrao, Pedro Perrimon, Norbert |
author_facet | Hu, Yanhui Sopko, Richelle Chung, Verena Foos, Marianna Studer, Romain A. Landry, Sean D. Liu, Daniel Rabinow, Leonard Gnad, Florian Beltrao, Pedro Perrimon, Norbert |
author_sort | Hu, Yanhui |
collection | PubMed |
description | Post-translational modification (PTM) serves as a regulatory mechanism for protein function, influencing their stability, interactions, activity and localization, and is critical in many signaling pathways. The best characterized PTM is phosphorylation, whereby a phosphate is added to an acceptor residue, most commonly serine, threonine and tyrosine in metazoans. As proteins are often phosphorylated at multiple sites, identifying those sites that are important for function is a challenging problem. Considering that any given phosphorylation site might be non-functional, prioritizing evolutionarily conserved phosphosites provides a general strategy to identify the putative functional sites. To facilitate the identification of conserved phosphosites, we generated a large-scale phosphoproteomics dataset from Drosophila embryos collected from six closely-related species. We built iProteinDB (https://www.flyrnai.org/tools/iproteindb/), a resource integrating these data with other high-throughput PTM datasets, including vertebrates, and manually curated information for Drosophila. At iProteinDB, scientists can view the PTM landscape for any Drosophila protein and identify predicted functional phosphosites based on a comparative analysis of data from closely-related Drosophila species. Further, iProteinDB enables comparison of PTM data from Drosophila to that of orthologous proteins from other model organisms, including human, mouse, rat, Xenopus tropicalis, Danio rerio, and Caenorhabditis elegans. |
format | Online Article Text |
id | pubmed-6325894 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-63258942019-01-10 iProteinDB: An Integrative Database of Drosophila Post-translational Modifications Hu, Yanhui Sopko, Richelle Chung, Verena Foos, Marianna Studer, Romain A. Landry, Sean D. Liu, Daniel Rabinow, Leonard Gnad, Florian Beltrao, Pedro Perrimon, Norbert G3 (Bethesda) Software and Data Resources Post-translational modification (PTM) serves as a regulatory mechanism for protein function, influencing their stability, interactions, activity and localization, and is critical in many signaling pathways. The best characterized PTM is phosphorylation, whereby a phosphate is added to an acceptor residue, most commonly serine, threonine and tyrosine in metazoans. As proteins are often phosphorylated at multiple sites, identifying those sites that are important for function is a challenging problem. Considering that any given phosphorylation site might be non-functional, prioritizing evolutionarily conserved phosphosites provides a general strategy to identify the putative functional sites. To facilitate the identification of conserved phosphosites, we generated a large-scale phosphoproteomics dataset from Drosophila embryos collected from six closely-related species. We built iProteinDB (https://www.flyrnai.org/tools/iproteindb/), a resource integrating these data with other high-throughput PTM datasets, including vertebrates, and manually curated information for Drosophila. At iProteinDB, scientists can view the PTM landscape for any Drosophila protein and identify predicted functional phosphosites based on a comparative analysis of data from closely-related Drosophila species. Further, iProteinDB enables comparison of PTM data from Drosophila to that of orthologous proteins from other model organisms, including human, mouse, rat, Xenopus tropicalis, Danio rerio, and Caenorhabditis elegans. Genetics Society of America 2018-11-05 /pmc/articles/PMC6325894/ /pubmed/30397019 http://dx.doi.org/10.1534/g3.118.200637 Text en Copyright © 2019 Hu et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software and Data Resources Hu, Yanhui Sopko, Richelle Chung, Verena Foos, Marianna Studer, Romain A. Landry, Sean D. Liu, Daniel Rabinow, Leonard Gnad, Florian Beltrao, Pedro Perrimon, Norbert iProteinDB: An Integrative Database of Drosophila Post-translational Modifications |
title | iProteinDB: An Integrative Database of Drosophila Post-translational Modifications |
title_full | iProteinDB: An Integrative Database of Drosophila Post-translational Modifications |
title_fullStr | iProteinDB: An Integrative Database of Drosophila Post-translational Modifications |
title_full_unstemmed | iProteinDB: An Integrative Database of Drosophila Post-translational Modifications |
title_short | iProteinDB: An Integrative Database of Drosophila Post-translational Modifications |
title_sort | iproteindb: an integrative database of drosophila post-translational modifications |
topic | Software and Data Resources |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6325894/ https://www.ncbi.nlm.nih.gov/pubmed/30397019 http://dx.doi.org/10.1534/g3.118.200637 |
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