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Proteomic analysis of eleven tissues in the Chinese giant salamander (Andrias davidianus)
The Chinese giant salamander (Andrias davidianus, CGS) is the largest extant amphibian species in the world. Global quantitative proteome analysis of multiple tissues would indicate tissue-specific physiological processes and clarify the function of each protein from a whole-organism perspective. Th...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6848178/ https://www.ncbi.nlm.nih.gov/pubmed/31712686 http://dx.doi.org/10.1038/s41598-019-50909-3 |
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author | Geng, Xiaofang Guo, Jianlin Zang, Xiayan Chang, Cuifang Shang, Haitao Wei, Hong Xu, Cunshuan |
author_facet | Geng, Xiaofang Guo, Jianlin Zang, Xiayan Chang, Cuifang Shang, Haitao Wei, Hong Xu, Cunshuan |
author_sort | Geng, Xiaofang |
collection | PubMed |
description | The Chinese giant salamander (Andrias davidianus, CGS) is the largest extant amphibian species in the world. Global quantitative proteome analysis of multiple tissues would indicate tissue-specific physiological processes and clarify the function of each protein from a whole-organism perspective. This study performed proteome analysis of eleven tissues collected from adult CGSs using iTRAQ coupled with LC-MS/MS technology. Based on the predicted protein database from previously obtained CGS transcriptome data, 2153 proteins were identified for subsequent analysis. A weighted gene co-expression network analysis (WGCNA) clustered 2153 proteins into 17 co-expressed modules, which will be useful for predicting the functions of unannotated proteins. The protein levels of molecular complexes with housekeeping functions, such as ribosomes, spliceosomes and mitochondrial respiratory chain complexes, were tightly regulated in different tissues of the CGS, as they are in mammalian tissues. Transcription regulator, pathway and bio-functional analysis of tissue-specific proteins showed that highly expressed proteins largely reflected the physiological functions of specific tissues. Our data, as an initial atlas of protein expression of an amphibian species, will be useful for further molecular biology research on CGS. |
format | Online Article Text |
id | pubmed-6848178 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68481782019-11-19 Proteomic analysis of eleven tissues in the Chinese giant salamander (Andrias davidianus) Geng, Xiaofang Guo, Jianlin Zang, Xiayan Chang, Cuifang Shang, Haitao Wei, Hong Xu, Cunshuan Sci Rep Article The Chinese giant salamander (Andrias davidianus, CGS) is the largest extant amphibian species in the world. Global quantitative proteome analysis of multiple tissues would indicate tissue-specific physiological processes and clarify the function of each protein from a whole-organism perspective. This study performed proteome analysis of eleven tissues collected from adult CGSs using iTRAQ coupled with LC-MS/MS technology. Based on the predicted protein database from previously obtained CGS transcriptome data, 2153 proteins were identified for subsequent analysis. A weighted gene co-expression network analysis (WGCNA) clustered 2153 proteins into 17 co-expressed modules, which will be useful for predicting the functions of unannotated proteins. The protein levels of molecular complexes with housekeeping functions, such as ribosomes, spliceosomes and mitochondrial respiratory chain complexes, were tightly regulated in different tissues of the CGS, as they are in mammalian tissues. Transcription regulator, pathway and bio-functional analysis of tissue-specific proteins showed that highly expressed proteins largely reflected the physiological functions of specific tissues. Our data, as an initial atlas of protein expression of an amphibian species, will be useful for further molecular biology research on CGS. Nature Publishing Group UK 2019-11-11 /pmc/articles/PMC6848178/ /pubmed/31712686 http://dx.doi.org/10.1038/s41598-019-50909-3 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Geng, Xiaofang Guo, Jianlin Zang, Xiayan Chang, Cuifang Shang, Haitao Wei, Hong Xu, Cunshuan Proteomic analysis of eleven tissues in the Chinese giant salamander (Andrias davidianus) |
title | Proteomic analysis of eleven tissues in the Chinese giant salamander (Andrias davidianus) |
title_full | Proteomic analysis of eleven tissues in the Chinese giant salamander (Andrias davidianus) |
title_fullStr | Proteomic analysis of eleven tissues in the Chinese giant salamander (Andrias davidianus) |
title_full_unstemmed | Proteomic analysis of eleven tissues in the Chinese giant salamander (Andrias davidianus) |
title_short | Proteomic analysis of eleven tissues in the Chinese giant salamander (Andrias davidianus) |
title_sort | proteomic analysis of eleven tissues in the chinese giant salamander (andrias davidianus) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6848178/ https://www.ncbi.nlm.nih.gov/pubmed/31712686 http://dx.doi.org/10.1038/s41598-019-50909-3 |
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