PXD043410
PXD043410 is an original dataset announced via ProteomeXchange.
Dataset Summary
Title | Tandem mass tag-based proteomic profiling of drainage fluid |
Description | Anastomotic leakage (AL), one of the most severe complications in rectal surgery, is often diagnosed late because of the low specificity of clinical symptoms and limitations of current clinical investigations. Identification of patients with early AL remains challenging. Here, we explored the protein expression profiles of AL patients to provide potential biomarkers to predict AL in patients who undergo surgery for rectal cancer. We screened differentially expressed proteins (DEPs) in drainage fluid from AL and non-AL patients using a tandem mass tag (TMT) method. A total of 248 DEPs, including 98 upregulated and 150 downregulated proteins, were identified between AL and non-AL groups. |
HostingRepository | iProX |
AnnounceDate | 2023-06-29 |
AnnouncementXML | Submission_2024-05-29_20:59:39.692.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Xiangqian Su |
SpeciesList | scientific name: Homo sapiens; NCBI TaxID: 9606; |
ModificationList | No PTMs are included in the dataset |
Instrument | Q Exactive HF |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
---|---|---|---|
0 | 2023-06-29 19:47:23 | ID requested | |
1 | 2023-06-29 19:47:42 | announced | |
⏵ 2 | 2024-05-29 20:59:40 | announced | 2024-05-30: Update information. |
Publication List
Qiao X, Qi X, Xing P, Liu T, Hao H, Yang X, Jiang B, Cui M, Su X, Tandem Mass Tag-Based Proteomic Profiling Identifies Biomarkers in Drainage Fluid for Early Detection of Anastomotic Leakage after Rectal Cancer Resection. J Proteome Res, 22(11):3559-3569(2023) [pubmed] |
Keyword List
submitter keyword: Human, drainage fluid, LC-MS |
Contact List
Xiangqian Su | |
---|---|
contact affiliation | Peking University Cancer Hospital & Institute |
contact email | suxiangqian@bjmu.edu.cn |
lab head | |
Xiangqian Su | |
contact affiliation | Peking University Cancer Hospital & Institute |
contact email | suxiangqian@bjmu.edu.cn |
dataset submitter |
Full Dataset Link List
iProX dataset URI |