five

Proteomics characterization of extracellular space components in the human aorta.

收藏
NIAID Data Ecosystem2026-03-07 收录
下载链接:
https://www.omicsdi.org/dataset/gpmdb/GPM11210002594
下载链接
链接失效反馈
官方服务:
资源简介:
PRIDE ID: 13581. Data published as part of Mol Cell Proteomics. 2010 Sep;9(9):2048-62 . From the Abstract: {{i}}In this study, we describe a methodology for the extraction of extracellular proteins from human aortas and their identification by proteomics. The approach is based on (a) effective decellularization to enrich for scarce extracellular proteins, (b) successful solubilization and deglycosylation of ECM proteins, and (c) relative estimation of protein abundance using spectral counting. Our three-step extraction approach resulted in the identification of 103 extracellular proteins of which one-third have never been reported in the proteomics literature of vascular tissues. In particular, three glycoproteins (podocan, sclerostin, and agrin) were identified for the first time in human aortas at the protein level.{{/i}}
创建时间:
2012-08-03
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作