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PXD002854-1

PXD002854 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitlePlasma proteome profiling to assess human health and disease
DescriptionProteins in the circulatory system mirror an individual´s physiology. They are easy to obtain and consequently, plasma and serum are the predominant matrices for diagnostic analyses in daily clinical practice. Protein levels are generally determined using single protein immuno-assays. Mass spectrometry (MS)-based proteomics of this body fluid is challenging due to the high dynamic range of protein abundances. Here we introduce a rapid and robust single-run proteomic workflow that enables the quantitative analysis of hundreds of plasma proteomes from single finger pricks with 20 min gradients. The apolipoprotein family, inflammatory markers such as C-reactive protein, gender-related proteins and more than 40 FDA approved biomarkers are reproducibly quantified (CV<20% with label-free quantification). Furthermore, we functionally interpret a 1000 protein, quantitative plasma proteome obtained by simple peptide pre-fractionation. ‘Plasma proteome profiling’ delivers an informative portrait of a person’s health state and we envision its large-scale use in biomedicine.
HostingRepositoryPRIDE
AnnounceDate2016-02-22
AnnouncementXMLSubmission_2016-02-22_05:43:05.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterMario Oroshi
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
InstrumentQ Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02015-09-06 23:49:22ID requested
12016-02-22 05:43:06announced
Publication List
Dataset with its publication pending
Keyword List
curator keyword: Biomedical, Biological
submitter keyword: Plasma proteome profile, mass spectrometry, clinic, disease, human, apolipoproteins, blood analysis
Contact List
Matthias Mann
contact affiliationProteomics and Signal Transduction Max Planck Institute of Biochemistry Am Klopferspitz 18 D-82152 Martinsried
contact emailmmann@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
Repository Record List
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