Evidence map›Paper›PMID 22034837›Full record

ArticleBMC systems biology2011

Compartmentation of glycogen metabolism revealed from 13C isotopologue distributions.

Igor Marin de Mas, Vitaly A Selivanov, Silvia Marin, Josep Roca, Matej Orešič, Loranne Agius, Marta Cascante

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

13 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. How glycogen sustains brain function: A plausible allosteric signaling pathway mediated by glucose phosphates.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2019
    Review
  5. From correlation to causation: analysis of metabolomics data using systems biology approaches.Metabolomics : Official journal of the Metabolomic Society · 2018
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 'Isotopo' a database application for facile analysis and management of mass isotopomer data.Database : the journal of biological databases and curation · 2014
    Article
  13. 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

7 authors at 6 institutions in 4 countries.

Igor Marin de MasDepartment of Biochemistry and Molecular Biology, Faculty of Biology, Universitat de Barcelona, Av Diagonal 643, 08028 Barcelona, Spain.
Vitaly A Selivanov
Silvia Marin
Josep Roca
Matej Orešič
Loranne Agius
Marta Cascante
Universitat de Barcelona · ESClínica Diagonal · ESConsorci Institut D'Investigacions Biomediques August Pi I Sunyer · ESInstitute for Molecular Medicine Finland · FINewcastle University · GBPhysico-Technical Institute · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStable isotope tracers are used to assess metabolic flux profiles in living cells. The existing methods of measurement average out the isotopic isomer distribution in metabolites throughout the cell, whereas the knowledge of compartmental organization of analyzed pathways is crucial for the evaluation of true fluxes. That is why we accepted a challenge to create a software tool that allows deciphering the compartmentation of metabolites based on the analysis of average isotopic isomer distribution.

resultsThe software Isodyn, which simulates the dynamics of isotopic isomer distribution in central metabolic pathways, was supplemented by algorithms facilitating the transition between various analyzed metabolic schemes, and by the tools for model discrimination. It simulated 13C isotope distributions in glucose, lactate, glutamate and glycogen, measured by mass spectrometry after incubation of hepatocytes in the presence of only labeled glucose or glucose and lactate together (with label either in glucose or lactate). The simulations assumed either a single intracellular hexose phosphate pool, or also channeling of hexose phosphates resulting in a different isotopic composition of glycogen. Model discrimination test was applied to check the consistency of both models with experimental data. Metabolic flux profiles, evaluated with the accepted model that assumes channeling, revealed the range of changes in metabolic fluxes in liver cells.

conclusionsThe analysis of compartmentation of metabolic networks based on the measured 13C distribution was included in Isodyn as a routine procedure. The advantage of this implementation is that, being a part of evaluation of metabolic fluxes, it does not require additional experiments to study metabolic compartmentation. The analysis of experimental data revealed that the distribution of measured 13C-labeled glucose metabolites is inconsistent with the idea of perfect mixing of hexose phosphates in cytosol. In contrast, the observed distribution indicates the presence of a separate pool of hexose phosphates that is channeled towards glycogen synthesis.

Indexed as

Models, BiologicalSoftwareAnimalsCarbon IsotopesCell CompartmentationComputational BiologyComputer SimulationGas Chromatography-Mass SpectrometryGlycogenKineticsMaleMetabolic Networks and PathwaysRatsRats, WistarCarbon IsotopesGlycogen

Identifiers

PMID22034837
PMCPMC3292525
OpenAlexW2168942083

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.