PXD022802-2
PXD022802 is an original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Proteome profiling of mucinous and non-mucinous colorectal cancer |
| Description | Mucus is associated with poor prognosis of colorectal cancer, but its mechanism remains unclear. The aim of this study was to reveal the key proteins in mucinous colorectal cancer. In this study, high-resolution liquid chromatography tandem mass spectrometry (LC-MS / MS) combined with quantitative 6-plex tandem mass mass tag labeling was used to profile protein changes in the left and right sides of mucinous and non-mucinous colorectal cancer tissues. A total of 7432 proteins were identified and analyzed. |
| HostingRepository | iProX |
| AnnounceDate | 2020-11-28 |
| AnnouncementXML | Submission_2023-02-21_18:32:21.246.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Yanyu Chen |
| SpeciesList | scientific name: Homo sapiens; NCBI TaxID: 9606; |
| ModificationList | No PTMs are included in the dataset |
| Instrument | Orbitrap Fusion Lumos |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
|---|---|---|---|
| 0 | 2020-11-29 21:22:49 | ID requested | |
| 1 | 2020-11-29 21:24:29 | announced | |
| ⏵ 2 | 2023-02-21 18:32:22 | announced | 2023-02-22: Update publication information. |
Publication List
| Chen Y, Hou W, Zhong M, Wu B, Comprehensive Proteomic Analysis of Colon Cancer Tissue Revealed the Reason for the Worse Prognosis of Right-Sided Colon Cancer and Mucinous Colon Cancer at the Protein Level. Curr Oncol, 28(5):3554-3572(2021) [pubmed] |
Keyword List
| submitter keyword: proteomics, colorectal cancer, mucinous, TMT |
Contact List
| Wei Ge | |
|---|---|
| contact affiliation | Institute of Basic Medical Sciences Chinese Academy of Medical Sciences |
| contact email | wei.ge@chem.ox.ac.uk |
| lab head | |
| Yanyu Chen | |
| contact affiliation | Institute of Basic Medical Sciences Chinese Academy of Medical Sciences |
| contact email | chenyanyu0527@126.com |
| dataset submitter | |
Full Dataset Link List
| iProX dataset URI |




