PXD017639 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Isolation window optimization using predicted libraries for deep and accurate proteome profiling by data-independent acquisition |
Description | In silico spectral library prediction of all possible peptides from whole organisms has a great potential for improving proteome profiling by data-independent acquisition and extending its scope of application. In combination with other recent improvements in the field, including sample preparation, peptide separation and data analysis, we aimed to uncover the full potential of such an advanced DIA strategy by isolation window optimization. The results demonstrate that the combination of high-quality in silico libraries, reproducible and high-resolution peptide separation using micro-pillar array columns as well as neural network supported data analysis enables the use of long MS scan cycles without impairing the quantification performance. |
HostingRepository | PRIDE |
AnnounceDate | 2020-08-25 |
AnnouncementXML | Submission_2020-08-25_06:57:08.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Joerg Doellinger |
SpeciesList | scientific name: Escherichia coli; NCBI TaxID: 562; scientific name: Candida albicans (Yeast); NCBI TaxID: 5476; scientific name: Homo sapiens (Human); NCBI TaxID: 9606; scientific name: Staphylococcus aureus; NCBI TaxID: 1280; |
ModificationList | No PTMs are included in the dataset |
Instrument | Q Exactive |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2020-02-19 22:49:12 | ID requested | |
⏵ 1 | 2020-08-25 06:57:09 | announced | |
2 | 2024-10-22 05:11:20 | announced | 2024-10-22: Updated project metadata. |
Publication List
Dataset with its publication pending |
Keyword List
submitter keyword: data-independent acquisition, predicted spectral library, isolation window, quantitative proteomics, SPEED |
Contact List
Peter Lasch |
contact affiliation | Robert Koch-Institute, Centre for Biological Threats and Special Pathogens, Proteomics and Spectroscopy (ZBS6), Berlin, Germany |
contact email | LaschP@rki.de |
lab head | |
Joerg Doellinger |
contact affiliation | Proteomics and Spectroscopy (ZBS6), Robert Koch-Institute |
contact email | Doellingerj@rki.de |
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/2020/08/PXD017639 |
PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD017639
- Label: PRIDE project
- Name: Isolation window optimization using predicted libraries for deep and accurate proteome profiling by data-independent acquisition