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FastCAT accelerates absolute quantification of proteins by using multiple short non-purified chimeric standards

Authors: Rzagalinski, Ignacy;

FastCAT accelerates absolute quantification of proteins by using multiple short non-purified chimeric standards

Abstract

Absolute (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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average