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PXD001352

PXD001352 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleAbsolute protein quantification allows differentiation of cell specific metabolic routes and functions
DescriptionTotal protein approach (TPA) is a proteomic method which allows calculation of concentrations of individual proteins and groups of functionally related proteins in any protein mixture without spike-in standards. Using the two step digestion filter aided sample preparation method and LC-MS/MS analysis we generated comprehensive quantitative datasets of mouse intestinal mucosa, liver, red muscle fibers, brain, and of human plasma, erythrocytes, and tumor cells lines. We show that the TPA based quantitative data reflect well-defined and specific physiological functions of different organs and cells, for example nutrient absorption and transport in intestine, amino acid catabolism and bile secretion in liver, and contraction of muscle fibers. Focusing on key metabolic processes we compared metabolic capacities in different tissues and cells. In addition, we demonstrate quantitative differences in the mitochondrial proteomes. Providing insight into the abundances of mitochondrial metabolite transporters we demonstrate that their titers are well tuned to cell specific metabolic requirements. This study provides for the first time a comprehensive overview of the protein hardware mediating metabolism in different mammalian organs and cells. The presented approach can be applied to any other system to study biological processes.
HostingRepositoryPRIDE
AnnounceDate2014-12-15
AnnouncementXMLSubmission_2014-12-15_09:22:45.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterMario Oroshi
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606; scientific name: Mus musculus (Mouse); NCBI TaxID: 10090;
ModificationListacetylated residue; phosphorylated residue
InstrumentQ Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02014-09-22 02:32:30ID requested
12014-12-15 09:22:46announced
Publication List
Wi, ś, niewski JR, Koepsell H, Gizak A, Rakus D, Absolute protein quantification allows differentiation of cell-specific metabolic routes and functions. Proteomics, 15(7):1316-25(2015) [pubmed]
Keyword List
curator keyword: Biological
submitter keyword: Absolute protein quantification allows differentiation of cell specific metabolic routes and functions
Contact List
Jacek R Wisniewski
contact affiliationDept. Proteomics and Signal Transduction Max-Planck Institute of Biochemistry
contact emailjwisniew@biochem.mpg.de
lab head
Mario Oroshi
contact affiliationProteomics
contact emailoroshi@biochem.mpg.de
dataset submitter
Full Dataset Link List
Dataset FTP location
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PRIDE project URI
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