PXD012987 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Reproducibility, specificity and accuracy of DIA quantification - Spectral Libraries |
Description | For the complete description see the manuscript. Data dependent acquisition (DDA) is the method of choice for mass spectrometry based proteomics discovery experiments, data-independent acquisition (DIA) is steadily becoming more important. One of the most important requirement to perform a DIA analysis is the availability of spectral libraries for the peptide identification and quantification. Several researches were already conducted regarding the creation of spectral libraries from DDA analyses and obtaining identifications with these in DIA measurements. But so far only few experiments were conducted, to estimate the effect of these libraries on the quantitative level. In this work we created a spike-in gold standard dataset with known contents and ratios of proteins in a complex sample matrix. With this dataset, we first created spectral libraries using different sample preparation approaches with and without sample prefractionation on peptide and protein level. Two different search engines were used for protein identification. In total, five different spike-in states were compared with DIA analyses, comparing eight different spectral libraries generated by varying approaches and one library free method, as well as one default DDA analysis. Not only the number of identifications on peptide and protein level in the spectral libraries and the corresponding analyses was inspected, but also the number of expected and identified significant quantifications and their ratios were thoroughly examined. |
HostingRepository | PRIDE |
AnnounceDate | 2024-10-08 |
AnnouncementXML | Submission_2024-10-08_11:40:07.350.xml |
DigitalObjectIdentifier | https://dx.doi.org/10.6019/PXD012987 |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Supported dataset by repository |
PrimarySubmitter | Julian Uszkoreit |
SpeciesList | scientific name: Mus musculus (Mouse); NCBI TaxID: 10090; |
ModificationList | Ammonia-loss; Deamidated; Ammonium; Oxidation; Carbamidomethyl; Gln->pyro-Glu |
Instrument | Q Exactive HF |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2019-03-05 23:48:31 | ID requested | |
⏵ 1 | 2024-10-08 11:40:08 | announced | |
Publication List
10.6019/PXD012987; |
Barkovits K, Pacharra S, Pfeiffer K, Steinbach S, Eisenacher M, Marcus K, Uszkoreit J, Reproducibility, Specificity and Accuracy of Relative Quantification Using Spectral Library-based Data-independent Acquisition. Mol Cell Proteomics, 19(1):181-197(2020) [pubmed] |
10.1074/mcp.ra119.001714; |
Keyword List
curator keyword: Technical |
submitter keyword: DIA, label-free quantification, peptide identification, spectral library,data-independent acquisition |
Contact List
Katrin Marcus |
contact affiliation | Ruhr University Bochum, Medical Faculty, Medizinisches Proteom-Center |
contact email | katrin.marcus@rub.de |
lab head | |
Julian Uszkoreit |
contact affiliation | Ruhr-Universität Bochum, Medical Faculty, Medizinisches Proteom-Center, Medical Bioinformatics / Functional Proteomics |
contact email | julian.uszkoreit@rub.de |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD012987
- Label: PRIDE project
- Name: Reproducibility, specificity and accuracy of DIA quantification - Spectral Libraries