PXD005573 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Optimization of Experimental Parameters in Data-Independent Mass Spectrometry Significantly Increases Depth and Reproducibility of Results |
Description | Comprehensive, reproducible and precise analysis of large sample cohorts is one of the key objectives of quantitative proteomics. Here, we present an implementation of data-independent acquisition using its parallel acquisition nature that surpasses the limitation of serial MS2 acquisition of data-dependent acquisition on a quadrupole ultra-high field Orbitrap mass spectrometer. In deep single shot data-independent acquisition, we identified and quantified 6,383 proteins in human cell lines using 2-or-more peptides/protein and over 7,100 proteins when including the 717 proteins that were identified on the basis of a single peptide sequence. 7,739 proteins were identified in mouse tissues using 2-or-more peptides/protein and 8,121 when including the 382 proteins that were identified on the basis of a single peptide sequence. Missing values for proteins were within 0.3 to 2.1% and median coefficients of variation of 4.7 to 6.2% among technical triplicates. In very complex mixtures, we could quantify 10,780 proteins and 12,192 proteins when including the 1,412 proteins that were identified on the basis of a single peptide sequence. Using this optimized DIA, we investigated large-protein networks before and after the critical period for whisker experience-induced synaptic strength in the murine somatosensory cortex 1 barrel field. This work shows that parallel mass spectrometry enables proteome profiling for discovery with high coverage, reproducibility, precision and scalability. |
HostingRepository | PRIDE |
AnnounceDate | 2017-11-06 |
AnnouncementXML | Submission_2017-11-06_05:24:09.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Roland Bruderer |
SpeciesList | scientific name: Mus musculus (Mouse); NCBI TaxID: 10090; scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | phosphorylated residue; monohydroxylated residue; acetylated residue; deamidated residue |
Instrument | Q Exactive HF |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2016-12-15 06:37:06 | ID requested | |
1 | 2017-04-24 04:56:01 | announced | |
2 | 2017-10-27 00:14:10 | announced | Updated project metadata. |
3 | 2017-11-01 08:51:38 | announced | Updated publication reference for PubMed record(s): 29070702. |
⏵ 4 | 2017-11-06 05:24:10 | announced | Updated project metadata. |
5 | 2024-10-22 04:41:18 | announced | 2024-10-22: Updated project metadata. |
Publication List
Bruderer R, Bernhardt OM, Gandhi T, Xuan Y, Sondermann J, Schmidt M, Gomez-Varela D, Reiter L, Optimization of Experimental Parameters in Data-Independent Mass Spectrometry Significantly Increases Depth and Reproducibility of Results. Mol Cell Proteomics, 16(12):2296-2309(2017) [pubmed] |
Keyword List
curator keyword: Technical |
submitter keyword: human DIA proteomics |
Contact List
Lukas Reiter |
contact affiliation | Biognosys AG |
contact email | lukas.reiter@biognosys.com |
lab head | |
Roland Bruderer |
contact affiliation | Biognosys AG |
contact email | roland.bruderer@biognosys.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/2017/10/PXD005573 |
PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD005573
- Label: PRIDE project
- Name: Optimization of Experimental Parameters in Data-Independent Mass Spectrometry Significantly Increases Depth and Reproducibility of Results