PXD010279
PXD010279 is an original dataset announced via ProteomeXchange.
Dataset Summary
Title | A metabolic labeling strategy for relative protein quantification in Clostridioides difficile |
Description | Clostridioides difficile (formerly Clostridium difficile) is a Gram-positive, spore-forming pathogen which cases drug-induced Clostridioides difficile-associated diseases in hospitals worldwide. A detailed analysis of the proteome may provide new targets for drug development or therapy strategies to combat this pathogen. So far, quantitative proteome analyses could only be carried out by label-free or chemical labeling methods. However, the application of metabolic labeling would allow for accurate quantification of significant differences, even in the case of very small changes. Additionally, it would be possible to perform bias free studies of the membrane or surface proteome which require elaborated preparations and are therefore prone to higher standard deviations during the quantification. Up to now, the implementation of metabolic labeling strategies of C. difficile was hampered by the very specific metabolic requirements of this anaerobic pathogen. To solve this problem, media were evaluated and the cultivation procedure with 15N labeled media for the C. difficile 630Δerm strain was optimized to gain a high incorporation rate. In the following proof-of-principle experiment, the cytosolic sub-proteomes of C. difficile cells of three different cultivation media and two growth phases were analyzed resulting in reproducible data which are shown in detail. |
HostingRepository | PRIDE |
AnnounceDate | 2024-10-22 |
AnnouncementXML | Submission_2024-10-22_04:46:33.723.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Anke Trautwein-Schult |
SpeciesList | scientific name: Peptoclostridium difficile (strain 630) (Clostridium difficile); NCBI TaxID: 272563; |
ModificationList | No PTMs are included in the dataset |
Instrument | LTQ Orbitrap Velos |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
---|---|---|---|
0 | 2018-07-02 01:42:50 | ID requested | |
1 | 2018-10-25 02:44:41 | announced | |
2 | 2018-11-21 08:13:47 | announced | Updated publication reference for PubMed record(s): 30386308. |
⏵ 3 | 2024-10-22 04:46:42 | announced | 2024-10-22: Updated project metadata. |
Publication List
Trautwein-Schult A, Maa, ß S, Plate K, Otto A, Becher D, . Front Microbiol, 9():2371(2018) [pubmed] |
10.3389/fmicb.2018.02371; |
Keyword List
curator keyword: Biomedical |
submitter keyword: proteomics, relative protein quantification, mass spectrometry, metabolic labeling,Clostridioides difficile |
Contact List
Prof. Dr. Dörte Becher | |
---|---|
contact affiliation | Department of Microbial Proteomics, Institute for Microbiology, University of Greifswald, Greifswald, Germany |
contact email | dbecher@uni-greifswald.de |
lab head | |
Anke Trautwein-Schult | |
contact affiliation | University of Greifswald |
contact email | anke.trautwein-schult@uni-greifswald.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/2018/10/PXD010279 |
PRIDE project URI |
Repository Record List
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