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PXD030762-1

PXD030762 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleFastCAT accelerates absolute quantification of proteins by using multiple short non-purified chimeric standards
DescriptionAbsolute (molar) quantification of proteins provides the analytical rationale for system-level modelling of diverse molecular mechanisms. FastCAT method employs multiple short (<50 kDa) stable-isotope labeled chimeric proteins (CPs) composed of concatenated quantotypic (Q-)peptides representing the quantified proteins. Each CP also comprises scrambled sequences of reference (R-)peptides that relate its abundance to a single protein standard (BSA). FastCAT not only alleviates the need in purifying CP or using SDS-PAGE, but also improves the accuracy, precision and dynamic range of the absolute quantifications by grouping Q-peptides according to the expected abundance of target proteins. We benchmarked FastCAT against the reference method of MS Western and tested it in the direct molar quantifications of neurological markers in human cerebrospinal fluid at the low ng/mL level.
HostingRepositoryPanoramaPublic
AnnounceDate2022-04-04
AnnouncementXMLSubmission_2022-04-04_07:35:36.931.xml
DigitalObjectIdentifier
ReviewLevelNon peer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportSupported dataset by repository
PrimarySubmitterIgnacy Rzagalinski
SpeciesList scientific name: Homo sapiens; NCBI TaxID: 9606;
ModificationListLabel:13C(6)15N(4); Label:13C(6)
InstrumentQ Exactive HF
Dataset History
RevisionDatetimeStatusChangeLog Entry
02022-01-05 23:00:27ID requested
12022-04-04 07:35:37announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: absolute quantification of proteins, MS Western, QconCAT, targeted quantitative proteomics, cerebrospinal fluid, neurodegeneration, neuroinflammation
Contact List
Andrej Shevchenko
contact affiliationMax Planck Institute of Molecular Cell Biology and Genetics
contact emailshevchenko@mpi-cbg.de
lab head
Ignacy Rzagalinski
contact affiliationMax Planck Institute of Molecular Cell Biology and Genetics,
contact emailrzagalin@mpi-cbg.de
dataset submitter
Full Dataset Link List
Panorama Public dataset URI