PXD050280 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | E. piscicida secretion effectors identification by LC-MS |
Description | The secretion protein of the important virulence factor T6SS has not been fully identified yet. In order to identify the novel T6SS secreted protein of important fish pathogens, we chose the quantitative proteomics method of 4D label free. |
HostingRepository | PRIDE |
AnnounceDate | 2024-12-28 |
AnnouncementXML | Submission_2024-12-27_21:40:04.280.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Shuai Shao |
SpeciesList | scientific name: Edwardsiella piscicida; NCBI TaxID: 1263550; |
ModificationList | No PTMs are included in the dataset |
Instrument | 6220 Time-of-Flight LC/MS |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2024-03-02 04:27:23 | ID requested | |
⏵ 1 | 2024-12-27 21:40:04 | announced | |
Publication List
Dataset with its publication pending |
Keyword List
submitter keyword: T6SS, effector, 4D Label free quantitative proteomics |
Contact List
Shuai Shao |
contact affiliation | ECUST, Shanghai meilong road 130 |
contact email | shaoscott@ecust.edu.cn |
lab head | |
Shuai Shao |
contact affiliation | East China University of Science and Technology |
contact email | shaoscott@ecust.edu.cn |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2024/12/PXD050280 |
PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD050280
- Label: PRIDE project
- Name: E. piscicida secretion effectors identification by LC-MS