PXD029721 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | PBMC_A data-independent acquisition (DIA)-based quantification workflow for proteome analysis of 5000 cells |
Description | An optimized workflow for nanoscale proteomics is applied to the proteomics profiling of 5000 PBMCs in DIA mode on Orbitrap Lumos. |
HostingRepository | PRIDE |
AnnounceDate | 2022-04-27 |
AnnouncementXML | Submission_2022-04-26_16:33:49.956.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Na Jiang |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | No PTMs are included in the dataset |
Instrument | Orbitrap Fusion Lumos |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2021-11-12 06:22:30 | ID requested | |
⏵ 1 | 2022-04-26 16:33:50 | announced | |
Publication List
Dataset with its publication pending |
Keyword List
submitter keyword: data independent acquisition, gas-phase fractionation, immune response, mass spectrometry, quantitative proteomics |
Contact List
Ruibing Chen |
contact affiliation | School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, 300072, China |
contact email | rbchen@tju.edu.cn |
lab head | |
Na Jiang |
contact affiliation | Tianjin University |
contact email | 16622080827@163.com |
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/2022/04/PXD029721 |
PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD029721
- Label: PRIDE project
- Name: PBMC_A data-independent acquisition (DIA)-based quantification workflow for proteome analysis of 5000 cells