Evidence map›Paper›PMID 11806904›Full record

ArticleBiophysical journal2002

A unified model for signal transduction reactions in cellular membranes.

Jason M Haugh

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.0field-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

19 citing papers in PubMed, 37 citations in OpenAlex.

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  5. Insight from the maximal activation of the signal transduction excitable network inProceedings of the National Academy of Sciences of the United States of America · 2018
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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Jason M HaughDepartment of Chemical Engineering, North Carolina State University, Raleigh, North Carolina 27695-7905 USA. jason_haugh@ncsu.edu
North Carolina State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An analytical solution is obtained for the steady-state reaction rate of an intracellular enzyme, recruited to the plasma membrane by active receptors, acting upon a membrane-associated substrate. Influenced by physical and chemical effects, such interactions are encountered in numerous signal-transduction pathways. The generalized modeling framework is the first to combine reaction and diffusion limitations in enzyme action, the finite mean lifetime of receptor-enzyme complexes, reactions in the bulk membrane, and constitutive and receptor-mediated substrate insertion. The theory is compared with other analytical and numerical approaches, and it is used to model two different signaling pathway types. For two-state mechanisms, such as activation of the Ras GTPase, the diffusion-limited activation rate constant increases with enhanced substrate inactivation, dissociation of receptor-enzyme complexes, or crowding of neighboring complexes. The latter effect is only significant when nearly all of the substrate is in the activated state. For regulated supply and turnover pathways, such as phospholipase C-mediated lipid hydrolysis, an additional influence is receptor-mediated substrate delivery. When substrate consumption is rapid, this process significantly enhances the effective enzymatic rate constant, regardless of whether enzyme action is diffusion limited. Under these conditions, however, enhanced substrate delivery can result in a decrease in the average substrate concentration.

Indexed as

Signal TransductionAnimalsBiophysical PhenomenaBiophysicsCell MembraneGuanosine TriphosphateKineticsLipid MetabolismModels, BiologicalModels, ChemicalModels, TheoreticalMonomeric GTP-Binding ProteinsMonte Carlo MethodProtein BindingSubstrate SpecificityType C PhospholipasesGuanosine TriphosphateMonomeric GTP-Binding ProteinsType C Phospholipases

Identifiers

PMID11806904
PMCPMC1301871
OpenAlexW2086801902

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.