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PXD011996-1

PXD011996 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleDepletion of high molecular mass proteins for the identification of small proteins and small open reading frame encoded peptides in cellular proteomes
DescriptionWe present an acetonitrile-based precipitation methodology which depletes the majority of proteins above ca. 15 kDa. Parameters such as depletion mixture composition, pH and temperature, were optimized using a model protein mixture and the method was evaluated in comparison to the established differential solubility method. The approach was applied to the analysis of the low molecular weight proteome of the archaea Methanosarcina mazei by means of LC-MS. The data clearly show a beneficial effect of reduction of complexity, especially in terms of the quality of MS/MS based identification of small proteins. This fast, detergent-free method allowed for, with minimal sample manipulation, the successful identification of several not yet identified short open reading frame encoded peptides in M. mazei.
HostingRepositoryPRIDE
AnnounceDate2022-02-28
AnnouncementXMLSubmission_2022-02-28_02:51:44.268.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterAndreas Tholey
SpeciesList scientific name: Methanosarcina mazei Go1; NCBI TaxID: 192952;
ModificationListmonohydroxylated residue; acetylated residue; iodoacetamide derivatized residue
InstrumentQ Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02018-12-10 06:22:45ID requested
12022-02-28 02:51:44announced
22024-10-22 05:34:04announced2024-10-22: Updated project metadata.
Publication List
Dataset with its publication pending
Keyword List
curator keyword: Biological
submitter keyword: Acetonitrile precipitation, Methanosarcina mazei, peptidomics, short open reading frame
Contact List
Andreas Tholey
contact affiliationSystematische Proteomforschung & Bioanalytik - Institut für Experimentelle Medizin (IEM) Christian-Albrechts-Universität zu Kiel Niemannsweg 11 (Campus UK-SH, Kiel) 24105 Kiel, Germany
contact emaila.tholey@iem.uni-kiel.de
lab head
Andreas Tholey
contact affiliationSystematic Proteome Research & Bioanalytics, University of Kiel
contact emaila.tholey@iem.uni-kiel.de
dataset submitter
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Dataset FTP location
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