| Literature DB >> 26217726 |
Xiaofang Geng1, Hong Wei2, Haitao Shang3, Minghui Zhou3, Bing Chen3, Fuchun Zhang4, Xiayan Zang5, Pengfei Li5, Jingyan Sun5, Jing Che6, Yaping Zhang6, Cunshuan Xu5.
Abstract
The Chinese giant salamander (Andrias davidianus), renowned as a living fossil, is the largest and longest-lived amphibian species in the world. Its skin is rich in collagens, and has developed mucous gland which could secrete a large amount of mucus under the scraping and electric stimulation. The molting is the degraded skin stratum corneum. To establish the functional skin proteome of Chinese giant salamander, two-dimensional gel electrophoresis (2DE) and mass spectrometry (MS) were applied to detect the composition and relative abundance of the proteins in the skin, mucus and molting. The determination of the general proteome in the skin can potentially serve as a foundation for future studies characterizing the skin proteomes from diseased salamander to provide molecular and mechanistic insights into various disease states and potential therapeutic interventions. Data presented here are also related to the research article "Proteomic analysis of the skin of Chinese giant salamander (Andrias davidianus)" in the Journal of Proteomics [1].Entities:
Year: 2015 PMID: 26217726 PMCID: PMC4510102 DOI: 10.1016/j.dib.2015.02.010
Source DB: PubMed Journal: Data Brief ISSN: 2352-3409
| Subject area | Biology |
|---|---|
| More specific subject area | Giant salamander skin proteomics |
| Type of data | Table, excel file |
| How data was acquired | 2-D electrophoresis (GE Healthcare, USA) |
| ImageScanner III Labscan (GE Healthcare, USA) | |
| MALDI-TOF/MS and Biotools (Bruker Daltonics, Germany) | |
| MASCOT search engine (Matrix Science, London, UK) | |
| uniprot database | |
| Data format | Analyzed |
| Experimental factors | Skin, mucus and molting samples from Chinese giant salamander were collected and used to systematically characterize the proteome |
| Experimental features | 2-D electrophoresis coupled with MALDI-TOF/MS |
| Data source location | Xinxiang, Henan Province, China |
| Data accessibility | Analyzed datasets are directly provided with this article |