Evidence map›Paper›PMID 19622376›Full record

ArticleJournal of biotechnology2009

Evaluation of 13C isotopic tracers for metabolic flux analysis in mammalian cells.

Christian M Metallo, Jason L Walther, Gregory Stephanopoulos

Open access · greenAbstract read
In one paragraph

Article in Journal of biotechnology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 137 papers.

0numbers the graph read from it
0cells of the map it votes in
137citing papers in PubMed
7.1field-weighted citation impact, top 3% 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

137 citing papers in PubMed, 282 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Review
  6. Mass Spectrometry as a Tool for Metabolomics in Cancer.Advances in experimental medicine and biology · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Surface-Dependent Isotopic Adsorption of CO on α-AlMolecules (Basel, Switzerland) · 2025
    Article
  11. Article
  12. Review
  13. Metabolic engineering communications · 2024
    Article
  14. Article
  15. Oleic acid differentially affects lipid droplet storage ofChemical communications (Cambridge, England) · 2024
    Article
  16. Article
  17. Metabolic flux analysis in adipose tissue reprogramming.Immunometabolism (Cobham, Surrey) · 2024
    Review
  18. Oleic acid differentially affectsbioRxiv : the preprint server for biology · 2023
    Article
  19. Review
  20. Monitoring and modelling the glutamine metabolic pathway: a review and future perspectives.Metabolomics : Official journal of the Metabolomic Society · 2023
    Review

77 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

3 authors at 1 institution in 1 country.

Christian M MetalloDepartment of Chemical Engineering, Massachusetts Institute of Technology, Building 56 Room 469C, 77 Massachusetts Ave, Cambridge, MA 02139, United States.
Jason L Walther
Gregory Stephanopoulos
Massachusetts Institute of Technology · US

Funding

Hypoxia-induced Metabolic Changes in CancerR01CA160458 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI ILIOPOULOS, OTHON, STEPHANOPOULOS, GREGORY · 2012 to 2016
$1.6M
Elucidating modulators of hepatic metabolism by quantitative flux analysisR01DK075850 · NIDDK · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI STEPHANOPOULOS, GREGORY · 2006 to 2010
$1.5M
NCI NIH HHS R01 CA160458NIDDK NIH HHS 1R01 DK075850-01NIDDK NIH HHS R01 DK075850
6 · The paper itself

Abstract

(13)C metabolic flux analysis (MFA) is the most comprehensive means of characterizing cellular metabolic states. Uniquely labeled isotopic tracers enable more focused analyses to probe specific reactions within the network. As a result, the choice of tracer largely determines the precision with which one can estimate metabolic fluxes, especially in complex mammalian systems that require multiple substrates. Here we have experimentally determined metabolic fluxes in a tumor cell line, successfully recapitulating the hallmarks of cancer cell metabolism. Using these data, we computationally evaluated specifically labeled (13)C glucose and glutamine tracers for their ability to precisely and accurately estimate fluxes in central carbon metabolism. These methods enabled us to identify the optimal tracer for analyzing individual fluxes, specific pathways, and central carbon metabolism as a whole. [1,2-(13)C(2)]glucose provided the most precise estimates for glycolysis, the pentose phosphate pathway, and the overall network. Tracers such as [2-(13)C]glucose and [3-(13)C]glucose also outperformed the more commonly used [1-(13)C]glucose. [U-(13)C(5)]glutamine emerged as the preferred isotopic tracer for the analysis of the tricarboxylic acid (TCA) cycle. These results provide valuable, quantitative information on the performance of (13)C-labeled substrates and can aid in the design of more informative MFA experiments in mammalian cell culture.

Indexed as

AlgorithmsCarbonCarbon IsotopesCell Line, TumorComputer SimulationConfidence IntervalsGlucoseGlutamineHumansIsotope LabelingMetabolomicsCarbonCarbon IsotopesGlucoseGlutamine

Identifiers

PMID19622376
PMCPMC3026314
OpenAlexW2049759143

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.