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Large-scale analysis of the evolutionary histories of phosphorylation motifs in the human genome

BACKGROUND: Protein phosphorylation is a post-translational modification that is essential for a wide range of eukaryotic physiological processes, such as transcription, cytoskeletal regulation, cell metabolism, and signal transduction. Although more than 200,000 phosphorylation sites have been repo...

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Autores principales: Yoshizaki, Hisayoshi, Okuda, Shujiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4422407/
https://www.ncbi.nlm.nih.gov/pubmed/25949811
http://dx.doi.org/10.1186/s13742-015-0057-6
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author Yoshizaki, Hisayoshi
Okuda, Shujiro
author_facet Yoshizaki, Hisayoshi
Okuda, Shujiro
author_sort Yoshizaki, Hisayoshi
collection PubMed
description BACKGROUND: Protein phosphorylation is a post-translational modification that is essential for a wide range of eukaryotic physiological processes, such as transcription, cytoskeletal regulation, cell metabolism, and signal transduction. Although more than 200,000 phosphorylation sites have been reported in the human genome, the physiological roles of most remain unknown. In this study, we provide some useful datasets for the assessment of functional phosphorylation signaling using a comparative genome analysis of phosphorylation motifs. FINDINGS: We described the evolutionary patterns of conservation of these and comparative genomic data for 93,101 phosphosites and 1,003,756 potential phosphosites in human phosphomotifs, using 178 phosphomotifs identified in a previous study that occupied 69% of known phosphosites in public databases. Comparative genomic analyses were performed using genomes from nine species from yeast to humans. Here we provide an overview of the evolutionary patterns of phosphomotif acquisition and indicate the dependence on motif structures. Using the data from our previous study, we describe the interaction networks of phosphoproteins, identify the kinase substrates associated with phosphoproteins, and perform gene ontology enrichment analyses. In addition, we show how this dataset can help to elucidate the function of phosphomotifs. CONCLUSIONS: Our characterizations of motif structures and assessments of evolutionary conservation of phosphosites reveal physiological roles of unreported phosphosites. Thus, interactions between protein groups that share motifs are likely to be helpful for inferring kinase-substrate interaction networks. Our computational methods can be used to elucidate the relationships between phosphorylation signaling and cellular functions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13742-015-0057-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-44224072015-05-07 Large-scale analysis of the evolutionary histories of phosphorylation motifs in the human genome Yoshizaki, Hisayoshi Okuda, Shujiro Gigascience Data Note BACKGROUND: Protein phosphorylation is a post-translational modification that is essential for a wide range of eukaryotic physiological processes, such as transcription, cytoskeletal regulation, cell metabolism, and signal transduction. Although more than 200,000 phosphorylation sites have been reported in the human genome, the physiological roles of most remain unknown. In this study, we provide some useful datasets for the assessment of functional phosphorylation signaling using a comparative genome analysis of phosphorylation motifs. FINDINGS: We described the evolutionary patterns of conservation of these and comparative genomic data for 93,101 phosphosites and 1,003,756 potential phosphosites in human phosphomotifs, using 178 phosphomotifs identified in a previous study that occupied 69% of known phosphosites in public databases. Comparative genomic analyses were performed using genomes from nine species from yeast to humans. Here we provide an overview of the evolutionary patterns of phosphomotif acquisition and indicate the dependence on motif structures. Using the data from our previous study, we describe the interaction networks of phosphoproteins, identify the kinase substrates associated with phosphoproteins, and perform gene ontology enrichment analyses. In addition, we show how this dataset can help to elucidate the function of phosphomotifs. CONCLUSIONS: Our characterizations of motif structures and assessments of evolutionary conservation of phosphosites reveal physiological roles of unreported phosphosites. Thus, interactions between protein groups that share motifs are likely to be helpful for inferring kinase-substrate interaction networks. Our computational methods can be used to elucidate the relationships between phosphorylation signaling and cellular functions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13742-015-0057-6) contains supplementary material, which is available to authorized users. BioMed Central 2015-05-06 /pmc/articles/PMC4422407/ /pubmed/25949811 http://dx.doi.org/10.1186/s13742-015-0057-6 Text en © Yoshizaki and Okuda; licensee BioMed Central. 2015 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Data Note
Yoshizaki, Hisayoshi
Okuda, Shujiro
Large-scale analysis of the evolutionary histories of phosphorylation motifs in the human genome
title Large-scale analysis of the evolutionary histories of phosphorylation motifs in the human genome
title_full Large-scale analysis of the evolutionary histories of phosphorylation motifs in the human genome
title_fullStr Large-scale analysis of the evolutionary histories of phosphorylation motifs in the human genome
title_full_unstemmed Large-scale analysis of the evolutionary histories of phosphorylation motifs in the human genome
title_short Large-scale analysis of the evolutionary histories of phosphorylation motifs in the human genome
title_sort large-scale analysis of the evolutionary histories of phosphorylation motifs in the human genome
topic Data Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4422407/
https://www.ncbi.nlm.nih.gov/pubmed/25949811
http://dx.doi.org/10.1186/s13742-015-0057-6
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