PXD025551 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Quantitative global Proteome and Phosphorylome Analyses Reveal Potential Biomarkers in Kidney Cancer |
Description | Nowadays, high-throughput quantitative proteomic and transcriptomic approaches have been widely used for exploring molecular mechanisms and acquiring biomarkers for cancers. Our study aims to illuminate the multi-dimensional molecular mechanisms underlying renal cell carcinoma via investigating the quantitative global proteome and the profile of phosphorylation. A total of 5428 proteins and 8632 phosphorylation sites were quantified in RCC tissues, with 709 proteins and 649 phosphorylation sites changing in expression compared with matched adjacent non-tumor tissues. These differentially expressed proteins were mainly involved in the metabolic process terms involving glycolysis pathway, oxidative phosphorylation and fatty acid metabolism which had been considered to be a potential mechanism of RCC progression. Moreover, phosphorylation analysis indicated that these up-regulated phosphorylated proteins were implicated in glucagon signaling pathway and cholesterol metabolism, while the down-regulated phosphorylation proteins were predominantly involved in glycolysis, pentose phosphate pathway, carbon metabolism and biosynthesis of amino acids. In addition, we also found several new candidate proteins such as CD14, MPO, NCF2, SOD2, PARP1 up-regulated and MUT, ACADM, PCK1 down-regulated in RCC, which might be recognized as new biomarkers for RCC. These findings could broaden our insight into the underlying molecular mechanisms of RCC and acquire biomarker candidates for the treatment of RCC. |
HostingRepository | PRIDE |
AnnounceDate | 2022-02-17 |
AnnouncementXML | Submission_2022-02-17_00:48:31.102.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | yuanlei chen |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | phosphorylated residue |
Instrument | Orbitrap Fusion |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2021-04-22 00:33:02 | ID requested | |
⏵ 1 | 2022-02-17 00:48:31 | announced | |
Publication List
Xu L, Lu Z, Yu S, Li G, Chen Y, Quantitative global proteome and phosphorylome analyses reveal potential biomarkers in kidney cancer. Oncol Rep, 46(5):(2021) [pubmed] |
Keyword List
submitter keyword: Renal cell carcinoma |
Proteomes |
Phosphorylomes |
Biomarkers |
Pathways |
Contact List
Yuanlei chen |
contact affiliation | Sir run run shaw hospital |
contact email | 610819633@qq.com |
lab head | |
yuanlei chen |
contact affiliation | sir run run shaw hospital |
contact email | 610819633@qq.com |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD025551
- Label: PRIDE project
- Name: Quantitative global Proteome and Phosphorylome Analyses Reveal Potential Biomarkers in Kidney Cancer