Evidence map›Paper›PMID 24568354›Full record

ReviewBioanalysis2014

Stable isotope-labeling studies in metabolomics: new insights into structure and dynamics of metabolic networks.

Achuthanunni Chokkathukalam, Dong-Hyun Kim, Michael P Barrett, Rainer Breitling, Darren J Creek

Abstract readReview
In one paragraph

Review in Bioanalysis, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.

0numbers the graph read from it
0cells of the map it votes in
93citing 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

93 citing papers in PubMed.

  1. Article
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  5. Metabolomics of HIV in the Modern cART Era.Advances in experimental medicine and biology · 2026
    Review
  6. Review
  7. Targeted Metabolomic Methods forJournal of proteome research · 2025
    Article
  8. Article
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  10. Review
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  14. Article
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  19. Review
  20. Article

33 more citing papers are in PubMed but not listed here.

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

5 authors.

Achuthanunni ChokkathukalamGlasgow Polyomics, Wolfson Wohl Cancer Research Centre, College of Medical Veterinary & Life Sciences, University of Glasgow, G61 1QH, UK.
Dong-Hyun Kim
Michael P Barrett
Rainer Breitling
Darren J Creek

Funding

Biotechnology and Biological Sciences Research Council BB/I004599/1Wellcome Trust 085349Wellcome Trust 104111
6 · The paper itself

Abstract

The rapid emergence of metabolomics has enabled system-wide measurements of metabolites in various organisms. However, advances in the mechanistic understanding of metabolic networks remain limited, as most metabolomics studies cannot routinely provide accurate metabolite identification, absolute quantification and flux measurement. Stable isotope labeling offers opportunities to overcome these limitations. Here we describe some current approaches to stable isotope-labeled metabolomics and provide examples of the significant impact that these studies have had on our understanding of cellular metabolism. Furthermore, we discuss recently developed software solutions for the analysis of stable isotope-labeled metabolomics data and propose the bioinformatics solutions that will pave the way for the broader application and optimal interpretation of system-scale labeling studies in metabolomics.

Indexed as

MetabolomicsChromatography, High Pressure LiquidComputational BiologyIsotope LabelingMass SpectrometryMetabolic Networks and PathwaysSoftware

Identifiers

PMID24568354
PMCPMC4048731

What OpenQuestion holds

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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.