Proteomics

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Proteomic analysis of eleven tissues of Chinese Giant Salamander (Andrias davidianus)


ABSTRACT: The Chinese giant salamander (CGS, Andrias davidianus) is the largest and longest-lived amphibian. Global and quantitative proteome analysis of multiple tissues would indicate tissue-specific mechanisms and investigate the function of each protein from a whole-organism perspective. Herein, this study performed proteome analysis of eleven tissues collected from adult female CGS using isobaric tags for relative and absolute quantitation (iTRAQ) coupled with LC-MS/MS methods. Based on the predicted protein database from CGS transcriptome database previously obtained, we identified a total of 4607 proteins with quantitative information. Among them, 2153 proteins were shared by two iTRAQ 8-plex experiments with liver as common sample, and these proteins were used for subsequent analysis. Our data will be useful for future research into this large-genome species, as well as for vertebrate-wide comparative genomic, transcriptomic and proteomic studies.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Andrias Davidianus

TISSUE(S): Large Intestine, Heart, Spleen, Stomach, Brain, Liver, Lung, Skin, Pancreas, Kidney, Small Intestine

SUBMITTER: cunshuan xu  

LAB HEAD: Cunshuan Xu

PROVIDER: PXD005648 | Pride | 2019-11-18

REPOSITORIES: Pride

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Proteomic analysis of eleven tissues in the Chinese giant salamander (Andrias davidianus).

Geng Xiaofang X   Guo Jianlin J   Zang Xiayan X   Chang Cuifang C   Shang Haitao H   Wei Hong H   Xu Cunshuan C  

Scientific reports 20191111 1


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 tran  ...[more]

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