Evidence map›Paper›PMID 23192354›Full record

ArticleThe Journal of biological chemistry2013

Dimerization and bifunctionality confer robustness to the isocitrate dehydrogenase regulatory system in Escherichia coli.

Joseph P Dexter, Jeremy Gunawardena

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

15 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
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  4. Chemical Reaction Models in Synthetic Promoter Design in Bacteria.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  5. Absolutely robust controllers for chemical reaction networks.Journal of the Royal Society, Interface · 2020
    Article
  6. Article
  7. Article
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  9. Transient absolute robustness in stochastic biochemical networks.Journal of the Royal Society, Interface · 2016
    Article
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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

2 authors at 2 institutions in 1 country.

Joseph P DexterLewis-Sigler Institute for Integrative Genomics and Department of Chemistry, Princeton University, Princeton, New Jersey 08544, USA. jdexter@princeton.edu
Jeremy Gunawardena
Center for Systems Biology · USPrinceton University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An important goal of systems biology is to develop quantitative models that explain how specific molecular features give rise to systems-level properties. Metabolic and regulatory pathways that contain multifunctional proteins are especially interesting to study from this perspective because they have frequently been observed to exhibit robustness: the ability for a system to perform its proper function even as levels of its components change. In this study, we use extensive biochemical data and algebraic modeling to develop and analyze a model that shows how robust behavior arises in the isocitrate dehydrogenase (IDH) regulatory system of Escherichia coli, which was shown in 1985 to experimentally exhibit robustness. E. coli IDH is regulated by reversible phosphorylation catalyzed by the bifunctional isocitrate dehydrogenase kinase/phosphatase (IDHKP), and the level of IDH activity determines whether carbon flux is directed through the glyoxylate bypass (for growth on two-carbon substrates) or the full tricarboxylic acid cycle. Our model, which incorporates recent structural data on IDHKP, identifies several specific biochemical features of the system (including homodimerization of IDH and bifunctionality of IDHKP) that provide a potential explanation for robustness. Using algebraic techniques, we derive an invariant that summarizes the steady-state relationship between the phospho-forms of IDH. We use the invariant in combination with kinetic data on IDHKP to calculate IDH activity at a range of total IDH levels and find that our model predicts robustness. Our work unifies much of the known biochemistry of the IDH regulatory system into a single quantitative framework and highlights the importance of constructing biochemically realistic models in systems biology.

Indexed as

Gene Expression Regulation, BacterialGene Expression Regulation, EnzymologicBiochemistryCatalytic DomainCitric Acid CycleDimerizationEscherichia coliGlyoxylatesIsocitrate DehydrogenaseKineticsModels, ChemicalModels, TheoreticalMolecular ConformationSystems BiologyGlyoxylatesglyoxylic acidIsocitrate Dehydrogenase

Identifiers

PMID23192354
PMCPMC3581427
OpenAlexW2170295606

What OpenQuestion holds

Textmetadata
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.