Evidence map›Paper›PMID 27572055›Full record

ArticleSmall GTPases2018

Rationalizing Rac1 and RhoA GTPase signaling: A mathematical approach.

Joseph H R Hetmanski, Jean-Marc Schwartz, Patrick T Caswell

Open access · bronzeAbstract read
In one paragraph

Article in Small GTPases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-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

10 citing papers in PubMed, 16 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Joseph H R Hetmanskia Wellcome Trust Center for Cell-Matrix Research, University of Manchester , Manchester , UK.
Jean-Marc Schwartza Wellcome Trust Center for Cell-Matrix Research, University of Manchester , Manchester , UK.
Patrick T Caswella Wellcome Trust Center for Cell-Matrix Research, University of Manchester , Manchester , UK.
Wellcome Centre for Cell-Matrix Research · GBUniversity of Manchester · GB

Funding

Medical Research Council MR/R009376/1Wellcome TrustWellcome Trust 090453/Z/09/Z
6 · The paper itself

Abstract

Precise spatiotemporal dynamics of Rho GTPases are essential for efficient cell migration. Manipulating Rac1 and RhoA signaling is thus a potential intervention strategy to abrogate harmful cell invasion and subsequent metastasis; however GTPase signaling can be extremely complicated due to crosstalk and the multitude of upstream regulators and downstream effectors. Studying Rho GTPase networks in a formal mathematical setting can therefore be of great use. We recently built a predictive model based on Boolean logic which identified a negative feedback loop critical for RhoA and Rac1 activity. Here, we discuss the value and potential pitfalls of different mathematical approaches which have been used to study Rho GTPase dynamics, and highlight the importance of choosing the correct approach given the data available and outputs desired. Overall, a mathematical approach, particularly when combined iteratively with in vitro experiments, can be of great use in deriving new biological insight to further harness the activity of Rho GTPases.

Indexed as

Models, BiologicalSignal Transductionrac1 GTP-Binding ProteinrhoA GTP-Binding Proteinrac1 GTP-Binding ProteinrhoA GTP-Binding ProteinbooleanEGFRinvasionMAPKmathematicalmigrationmodelingnetworkRac1RhoA

Identifiers

PMID27572055
PMCPMC5927546
OpenAlexW2511381447

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.