Evidence map›Paper›PMID 22809204›Full record

ArticleExpert review of proteomics2012

Isotopically labeled proteome as an internal standard for multiple reaction monitoring-based biomarker quantification.

Andrei Turtoi, Vincent Castronovo

Abstract readComment
PubMed Publisher
In one paragraph

Article in Expert review of proteomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Andrei TurtoiLaboratory of Metastasis Research, GIGA Cancer, University of Liege, Belgium.
Vincent Castronovo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple reaction monitoring is a mass spectrometry technology used to selectively identify and quantify a known molecule in a complex mixture. The technology has gained favor in proteomic applications, especially for biomarker quantification in human samples. For this purpose, employment of internal standard consisting of isotopically (heavy) labeled proteins is currently considered the best way of normalizing sample preparation and correcting for different ionization efficiencies. However, synthesis of heavy-labeled proteins is considered laborious and expensive. The work outlined here presents an efficient strategy of utilizing isotope-labeled amino acids in cell culture to produce heavy-labeled proteins. These are then spiked into serum and serve as internal standards to relatively quantify a large number of target proteins. The method has been applied to quantify 72 proteins in the sera of pancreatic cancer patients with remarkable efficiency and accuracy.

Identifiers

PMID22809204

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.