PXD046453 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Ultra-fast label-free quantification and comprehensive proteome coverage with narrow-window data-independent acquisition. DDA vs DIA comparison |
Description | Mass spectrometry (MS)-based proteomics aims to characterize comprehensive proteomes in a fast and reproducible manner. Here, we present an ultra-fast scanning data-independent acquisition (DIA) strategy consisting on 2-Th precursor isolation windows, dissolving the differences between data-dependent and independent methods. This is achieved by pairing a Quadrupole Orbitrap mass spectrometer with the asymmetric track lossless (Astral) analyzer that provides >200 Hz MS/MS scanning speed, high resolving power and sensitivity, as well as low ppm-mass accuracy. Narrowwindow DIA enables profiling of up to 100 full yeast proteomes per day, or ~10,000 human proteins in half-an-hour. Moreover, multi-shot acquisition of fractionated samples allows comprehensive coverage of human proteomes in ~3h, showing comparable depth to next-generation RNA sequencing and with 10x higher throughput compared to current state-of-the-art MS. High quantitative precision and accuracy is demonstrated with high peptide coverage in a 3-species proteome mixture, quantifying 14,000+ proteins in a single run in half-an-hour. |
HostingRepository | PRIDE |
AnnounceDate | 2024-02-12 |
AnnouncementXML | Submission_2024-02-12_09:03:44.771.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Ulises H Guzman |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | No PTMs are included in the dataset |
Instrument | Thermo Fisher Scientific instrument model |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2023-10-27 06:32:22 | ID requested | |
⏵ 1 | 2024-02-12 09:03:45 | announced | |
2 | 2024-02-13 03:21:25 | announced | 2024-02-13: Updated project metadata. |
Publication List
Keyword List
submitter keyword: DIA, Astral,Proteomics |
Contact List
Jesper V |
contact affiliation | Professor, Deputy Head of Centre Novo Nordisk Foundation Center for Protein Research University of Copenhagen Copenhagen, DENMARK |
contact email | jesper.olsen@cpr.ku.dk |
lab head | |
Ulises H Guzman |
contact affiliation | Novo Nordisk Foundation Center for Protein Research |
contact email | ulysseshrdz@gmail.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/2024/02/PXD046453 |
PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD046453
- Label: PRIDE project
- Name: Ultra-fast label-free quantification and comprehensive proteome coverage with narrow-window data-independent acquisition. DDA vs DIA comparison