Evidence map›Paper›PMID 35561006›Full record

ArticleJournal of proteome research2022

FastCAT Accelerates Absolute Quantification of Proteins Using Multiple Short Nonpurified Chimeric Standards.

Ignacy Rzagalinski, Aliona Bogdanova, Bharath Kumar Raghuraman, Eric R Geertsma, Lena Hersemann, Tjalf Ziemssen, Andrej Shevchenko

Abstract read
In one paragraph

Article in Journal of proteome research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Absolute quantification of fluorescent protein fusions by mass spectrometry.Protein science : a publication of the Protein Society · 2026
    Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ignacy RzagalinskiMax Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany.
Aliona BogdanovaMax Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany.
Bharath Kumar RaghuramanMax Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany.
Eric R GeertsmaMax Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany.ORCID 0000-0002-2789-5444
Lena HersemannMax Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany.
Tjalf ZiemssenCenter of Clinical Neuroscience, Department of Neurology, University Hospital Carl Gustav Carus, Technical University of Dresden, 01307 Dresden, Germany.
Andrej ShevchenkoMax Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany.ORCID 0000-0002-5079-1109

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Absolute (molar) quantification of clinically relevant proteins determines their reference values in liquid and solid biopsies. The FastCAT (for Fast-track QconCAT) 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 (bovine serum albumin, BSA). FastCAT not only alleviates the need to purify CP or use sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) but also improves the accuracy, precision, and dynamic range of the absolute quantification by grouping Q-peptides according to the expected abundance of the target proteins. We benchmarked FastCAT against the reference method of MS Western and tested it in the direct molar quantification of neurological markers in human cerebrospinal fluid at the low ng/mL level.

Indexed as

ProteinsProteomicsElectrophoresis, Polyacrylamide GelHumansPeptidesReference StandardsPeptidesProteinsabsolute quantification of proteinscerebrospinal fluidMS WesternneurodegenerationneuroinflammationQconCATtargeted quantitative proteomics

Identifiers

PMID35561006
PMCPMC9171895

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.