Evidence map›Paper›PMID 23157360›Full record

ReviewBioanalysis2012

Relative quantification of biomarkers using mixed-isotope labeling coupled with MS.

Heidi M Chapman, Katherine L Schutt, Emily M Dieter, Shane M Lamos

Open access · greenAbstract readReview
In one paragraph

Review in Bioanalysis, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 25% of its field
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

3 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. 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 at 1 institution in 1 country.

Heidi M ChapmanDepartment of Chemistry & Physics, Saint Michael's College, Colchester, VT 05439, USA.
Katherine L Schutt
Emily M Dieter
Shane M Lamos
Saint Michael's College · US

Funding

VOLATILE SIGNALING IN PHARBITIS NILP20RR016462 · NCRR · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI KIRSHENBAUM, ARI PHILLIP · 2001 to 2011
$31.1M
NCRR NIH HHS P20 RR016462
6 · The paper itself

Abstract

The identification and quantification of important biomarkers is a critical first step in the elucidation of biological systems. Biomarkers take many forms as cellular responses to stimuli and can be manifested during transcription, translation, and/or metabolic processing. Increasingly, researchers have relied upon mixed-isotope labeling (MIL) coupled with MS to perform relative quantification of biomarkers between two or more biological samples. MIL effectively tags biomarkers of interest for ease of identification and quantification within the mass spectrometer by using isotopic labels that introduce a heavy and light form of the tag. In addition to MIL coupled with MS, a number of other approaches have been used to quantify biomarkers including protein gel staining, enzymatic labeling, metabolic labeling, and several label-free approaches that generate quantitative data from the MS signal response. This review focuses on MIL techniques coupled with MS for the quantification of protein and small-molecule biomarkers.

Indexed as

Isotope LabelingMass SpectrometryAnimalsBiomarkersChromatography, High Pressure LiquidHumansLipidsMetabolomeProteinsBiomarkersLipidsProteins

Identifiers

PMID23157360
PMCPMC3575134
OpenAlexW2086988789

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.