PXD009386
PXD009386 is an original dataset announced via ProteomeXchange.
Dataset Summary
Title | Quantitative S-nitrosylation proteome reveals the susceptibility of translational machinery to oxidized low-density lipoprotein in vascular endothelial cells |
Description | Oxidized low-density lipoprotein (ox-LDL) can impair endothelial function and lead to the development of atherosclerosis. Protein S-nitrosylation is sensitive to the cellular redox state and acts as a crucial regulator and executor of NO signaling pathways. Aberrant S-nitrosylation contributes to the pathogenesis of cardiovascular and cerebrovascular diseases. However, the effect of ox-LDL on S-nitrosylation and its significance for endothelial dysfunction have not been studied at the S-nitrosylation proteome level. In our study, many key proteins belonged to ribosomal structure and translational regulatory proteins, covering the entire translation process. These results indicated that S-nitrosylation of the translational machinery in vascular endothelial cells was susceptible to ox-LDL. |
HostingRepository | iProX |
AnnounceDate | 2018-04-04 |
AnnouncementXML | Submission_2018-04-03_23:45:48.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | xiaohuixu |
SpeciesList | scientific name: Homo sapiens; NCBI TaxID: 9606; |
ModificationList | S-nitrosyl-L-cysteine |
Instrument | Orbitrap Fusion |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
---|---|---|---|
0 | 2018-04-03 23:45:37 | ID requested | |
⏵ 1 | 2018-04-03 23:45:48 | announced |
Publication List
Dataset with its publication pending |
Keyword List
submitter keyword: Endothelial cell, LC-MS/MS, Ox-LDL, S-nitrosylation, Translational machinery |
Contact List
Lianli Chi | |
---|---|
contact affiliation | National Glycoengineering Research Center, Shandong University |
contact email | lianlichi@sdu.edu.cn |
lab head | |
xiaohuixu | |
contact affiliation | Shandong University |
contact email | xiaohuixu@163.com |
dataset submitter |
Full Dataset Link List
iProX dataset URI |