Evidence map›Paper›PMID 20808885›Full record

ArticlePLoS computational biology2010

Modeling chemotaxis reveals the role of reversed phosphotransfer and a bi-functional kinase-phosphatase.

Marcus J Tindall, Steven L Porter, Philip K Maini, Judith P Armitage

Abstract read
In one paragraph

Article in PLoS computational biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  16. Signal processing in complex chemotaxis pathways.Nature reviews. Microbiology · 2011
    Review
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

4 authors.

Marcus J TindallCentre for Mathematical Biology, Mathematical Institute, University of Oxford, Oxford, United Kingdom. m.tindall@reading.ac.uk
Steven L Porter
Philip K Maini
Judith P Armitage

Funding

Biotechnology and Biological Sciences Research Council BB/C513350/1
6 · The paper itself

Abstract

Understanding how multiple signals are integrated in living cells to produce a balanced response is a major challenge in biology. Two-component signal transduction pathways, such as bacterial chemotaxis, comprise histidine protein kinases (HPKs) and response regulators (RRs). These are used to sense and respond to changes in the environment. Rhodobacter sphaeroides has a complex chemosensory network with two signaling clusters, each containing a HPK, CheA. Here we demonstrate, using a mathematical model, how the outputs of the two signaling clusters may be integrated. We use our mathematical model supported by experimental data to predict that: (1) the main RR controlling flagellar rotation, CheY(6), aided by its specific phosphatase, the bifunctional kinase CheA(3), acts as a phosphate sink for the other RRs; and (2) a phosphorelay pathway involving CheB(2) connects the cytoplasmic cluster kinase CheA(3) with the polar localised kinase CheA(2), and allows CheA(3)-P to phosphorylate non-cognate chemotaxis RRs. These two mechanisms enable the bifunctional kinase/phosphatase activity of CheA(3) to integrate and tune the sensory output of each signaling cluster to produce a balanced response. The signal integration mechanisms identified here may be widely used by other bacteria, since like R. sphaeroides, over 50% of chemotactic bacteria have multiple cheA homologues and need to integrate signals from different sources.

Indexed as

Models, BiologicalBacterial ProteinsChemotaxisFlagellaHistidine KinaseMembrane ProteinsPhosphoric Monoester HydrolasesPhosphorylationProtein KinasesRhodobacter sphaeroidesSignal TransductionBacterial ProteinsHistidine KinaseMembrane ProteinsPhosphoric Monoester HydrolasesProtein Kinases

Identifiers

PMID20808885
PMCPMC2924250

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Registered trials

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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.