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Genome-Wide Analysis of Whole Human Glycoside Hydrolases by Data-Driven Analysis in Silico
Glycans are involved in various metabolic processes via the functions of glycosyltransferases and glycoside hydrolases. Analysing the evolution of these enzymes is essential for improving the understanding of glycan metabolism and function. Based on our previous study of glycosyltransferases, we per...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6940844/ https://www.ncbi.nlm.nih.gov/pubmed/31847093 http://dx.doi.org/10.3390/ijms20246290 |
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author | Nakamura, Takahiro Fahmi, Muhamad Tanaka, Jun Seki, Kaito Kubota, Yukihiro Ito, Masahiro |
author_facet | Nakamura, Takahiro Fahmi, Muhamad Tanaka, Jun Seki, Kaito Kubota, Yukihiro Ito, Masahiro |
author_sort | Nakamura, Takahiro |
collection | PubMed |
description | Glycans are involved in various metabolic processes via the functions of glycosyltransferases and glycoside hydrolases. Analysing the evolution of these enzymes is essential for improving the understanding of glycan metabolism and function. Based on our previous study of glycosyltransferases, we performed a genome-wide analysis of whole human glycoside hydrolases using the UniProt, BRENDA, CAZy and KEGG databases. Using cluster analysis, 319 human glycoside hydrolases were classified into four clusters based on their similarity to enzymes conserved in chordates or metazoans (Class 1), metazoans (Class 2), metazoans and plants (Class 3) and eukaryotes (Class 4). The eukaryote and metazoan clusters included N- and O-glycoside hydrolases, respectively. The significant abundance of disordered regions within the most conserved cluster indicated a role for disordered regions in the evolution of glycoside hydrolases. These results suggest that the biological diversity of multicellular organisms is related to the acquisition of N- and O-linked glycans. |
format | Online Article Text |
id | pubmed-6940844 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-69408442020-01-09 Genome-Wide Analysis of Whole Human Glycoside Hydrolases by Data-Driven Analysis in Silico Nakamura, Takahiro Fahmi, Muhamad Tanaka, Jun Seki, Kaito Kubota, Yukihiro Ito, Masahiro Int J Mol Sci Article Glycans are involved in various metabolic processes via the functions of glycosyltransferases and glycoside hydrolases. Analysing the evolution of these enzymes is essential for improving the understanding of glycan metabolism and function. Based on our previous study of glycosyltransferases, we performed a genome-wide analysis of whole human glycoside hydrolases using the UniProt, BRENDA, CAZy and KEGG databases. Using cluster analysis, 319 human glycoside hydrolases were classified into four clusters based on their similarity to enzymes conserved in chordates or metazoans (Class 1), metazoans (Class 2), metazoans and plants (Class 3) and eukaryotes (Class 4). The eukaryote and metazoan clusters included N- and O-glycoside hydrolases, respectively. The significant abundance of disordered regions within the most conserved cluster indicated a role for disordered regions in the evolution of glycoside hydrolases. These results suggest that the biological diversity of multicellular organisms is related to the acquisition of N- and O-linked glycans. MDPI 2019-12-13 /pmc/articles/PMC6940844/ /pubmed/31847093 http://dx.doi.org/10.3390/ijms20246290 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Nakamura, Takahiro Fahmi, Muhamad Tanaka, Jun Seki, Kaito Kubota, Yukihiro Ito, Masahiro Genome-Wide Analysis of Whole Human Glycoside Hydrolases by Data-Driven Analysis in Silico |
title | Genome-Wide Analysis of Whole Human Glycoside Hydrolases by Data-Driven Analysis in Silico |
title_full | Genome-Wide Analysis of Whole Human Glycoside Hydrolases by Data-Driven Analysis in Silico |
title_fullStr | Genome-Wide Analysis of Whole Human Glycoside Hydrolases by Data-Driven Analysis in Silico |
title_full_unstemmed | Genome-Wide Analysis of Whole Human Glycoside Hydrolases by Data-Driven Analysis in Silico |
title_short | Genome-Wide Analysis of Whole Human Glycoside Hydrolases by Data-Driven Analysis in Silico |
title_sort | genome-wide analysis of whole human glycoside hydrolases by data-driven analysis in silico |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6940844/ https://www.ncbi.nlm.nih.gov/pubmed/31847093 http://dx.doi.org/10.3390/ijms20246290 |
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