PXD049405 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | A semi-automated workflow for DIA-based global discovery to pathway-driven PRM analysis |
Description | Initial discovery-based analysis using data independent acquisition (DIA) can obtain deep proteome coverage with high data completeness; however, the development of targeted PRM assays based on subsequent bioinformatic predictions can be tedious and time-consuming because of the complexity of the output. We address this limitation with a Python script that rapidly generates a PRM method for the TIMS-QTOF platform using DIA data and a user-defined target list. |
HostingRepository | PRIDE |
AnnounceDate | 2024-09-06 |
AnnouncementXML | Submission_2024-09-06_10:57:02.680.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Stanley Stevens |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | No PTMs are included in the dataset |
Instrument | timsTOF Pro |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2024-02-15 08:19:58 | ID requested | |
⏵ 1 | 2024-09-06 10:57:03 | announced | |
Publication List
Guergues J, Wohlfahrt J, Koomen JM, Krieger JR, Varma S, Stevens SM, A semi-automated workflow for DIA-based global discovery to pathway-driven PRM analysis. Proteomics, ():e2400129(2024) [pubmed] |
10.1002/pmic.202400129; |
Keyword List
submitter keyword: DIA, TimsTOF, script, Bruker, sem-automated,PRM |
Contact List
Stanley M. Stevens, Ph.D. |
contact affiliation | University of South Florida, USA |
contact email | smstevens@usf.edu |
lab head | |
Stanley Stevens |
contact affiliation | University of South Florida |
contact email | smstevens@usf.edu |
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/2024/09/PXD049405 |
PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD049405
- Label: PRIDE project
- Name: A semi-automated workflow for DIA-based global discovery to pathway-driven PRM analysis