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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...

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Autores principales: Nakamura, Takahiro, Fahmi, Muhamad, Tanaka, Jun, Seki, Kaito, Kubota, Yukihiro, Ito, Masahiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
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.
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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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