PXD055748 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Quantitative analsysis of short open reading frame encoded proteins from Methanosarcina mazei under stress conditions via bottom up proteomics |
Description | In the present work we have analysed Methanosarcina mazei grown under different stressor conditions via quantitative bottom-up proteomic workflows to determine which SEP are differenitally abundant in responce to stress conditions |
HostingRepository | PRIDE |
AnnounceDate | 2024-10-22 |
AnnouncementXML | Submission_2024-10-22_06:59:30.335.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Andreas Tholey |
SpeciesList | scientific name: Methanosarcina mazei Go1; NCBI TaxID: 192952; |
ModificationList | monohydroxylated residue; iodoacetamide derivatized residue |
Instrument | Q Exactive Plus |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2024-09-09 09:26:16 | ID requested | |
1 | 2024-09-24 02:24:20 | announced | |
⏵ 2 | 2024-10-22 06:59:30 | announced | 2024-10-22: Updated project metadata. |
Publication List
Dataset with its publication pending |
Keyword List
submitter keyword: Quantitative Bottom-up proteomics, Methanosarcina mazei, LC-MS/MS |
Contact List
Andreas Tholey |
contact affiliation | Institut für Experimentelle Medizin (IEM) Arbeitsgruppe Systematische Proteomforschung Christian-Albrechts-Universität zu Kiel Germany |
contact email | a.tholey@iem.uni-kiel.de |
lab head | |
Andreas Tholey |
contact affiliation | Systematic Proteome Research & Bioanalytics, University of Kiel |
contact email | a.tholey@iem.uni-kiel.de |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD055748
- Label: PRIDE project
- Name: Quantitative analsysis of short open reading frame encoded proteins from Methanosarcina mazei under stress conditions via bottom up proteomics