Evidence map›Paper›PMID 33950489›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Targeted Protein Quantification Using Parallel Reaction Monitoring (PRM).

Katalin Barkovits, Weiqiang Chen, Michael Kohl, Thilo Bracht

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Multi-Omic Analysis Identifies Key Genes Driving Testicular Fusion inInternational journal of molecular sciences · 2025
    Article
  5. Article
  6. Article
  7. Article
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

4 authors.

Katalin BarkovitsMedizinisches Proteom-Center (MPC), Ruhr-Universität Bochum, Bochum, Germany.
Weiqiang ChenMedizinisches Proteom-Center (MPC), Ruhr-Universität Bochum, Bochum, Germany.
Michael KohlMedizinisches Proteom-Center (MPC), Ruhr-Universität Bochum, Bochum, Germany.
Thilo BrachtMedizinisches Proteom-Center (MPC), Ruhr-Universität Bochum, Bochum, Germany. thilo.bracht@rub.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeted proteomics represents an efficient method to quantify proteins of interest with high sensitivity and accuracy. Targeted approaches were first established for triple quadrupole instruments, but the emergence of hybrid instruments allowing for high-resolution and accurate-mass measurements of MS/MS fragment ions enabled the development of parallel reaction monitoring (PRM). In PRM analysis, specific peptides are measured as representatives of proteins in complex samples, with the full product ion spectra being acquired, allowing for identification and quantification of the peptides. Ideally, corresponding stable isotope-labeled peptides are spiked into the analyzed samples to account for technical variation and enhance the precision. Here, we describe the development of a PRM assay including the selection of appropriate peptides that fulfill the criteria to serve as unique surrogates of the targeted proteins. We depict the sequential steps of method development and the generation of calibration curves. Furthermore, we present the open-access tool CalibraCurve for the determination of the linear concentration ranges and limits of quantification (LOQ).

Indexed as

Isotope LabelingProteomeProteomicsTandem Mass SpectrometryAnimalsCalibrationHumansLimit of DetectionProteinsReference StandardsResearch DesignProteinsProteomeCalibration curveLimit of quantificationParallel reaction monitoringStable isotope-labeled synthetic peptidesTargeted proteomics

Identifiers

What OpenQuestion holds

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Registered trials

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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.