Evidence map›Paper›PMID 26634649›Full record

ArticleScientific reports2015

Distinct predictive performance of Rac1 and Cdc42 in cell migration.

Masataka Yamao, Honda Naoki, Katsuyuki Kunida, Kazuhiro Aoki, Michiyuki Matsuda, Shin Ishii

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

34 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Spatiotemporal distribution of PTEN before directed cell migration in monolayers.In vitro cellular & developmental biology. Animal · 2024
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  9. Kisspeptin/KISS1R Signaling Modulates Human Airway Smooth Muscle Cell Migration.American journal of respiratory cell and molecular biology · 2024
    Article
  10. Review
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  12. Article
  13. Spontaneous signal generation by an excitable system for cell migration.Frontiers in cell and developmental biology · 2024
    Review
  14. Article
  15. A transcriptional program underlying the circannual rhythms of gonadal development in medaka.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  16. Article
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  18. Review
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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

6 authors at 2 institutions in 1 country.

Masataka YamaoGraduate School of Informatics, Kyoto University, Sakyo, Kyoto, Japan.
Honda NaokiImaging Platform for Spatio-temporal Information, Graduate School of Medicine, Kyoto University, Sakyo, Kyoto, Japan.
Katsuyuki KunidaGraduate School of Science, University of Tokyo, Bunkyo, Tokyo, Japan.
Kazuhiro AokiImaging Platform for Spatio-temporal Information, Graduate School of Medicine, Kyoto University, Sakyo, Kyoto, Japan.
Michiyuki MatsudaImaging Platform for Spatio-temporal Information, Graduate School of Medicine, Kyoto University, Sakyo, Kyoto, Japan.
Shin IshiiGraduate School of Informatics, Kyoto University, Sakyo, Kyoto, Japan.
Kyoto University · JPThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We propose a new computation-based approach for elucidating how signaling molecules are decoded in cell migration. In this approach, we performed FRET time-lapse imaging of Rac1 and Cdc42, members of Rho GTPases which are responsible for cell motility, and quantitatively identified the response functions that describe the conversion from the molecular activities to the morphological changes. Based on the identified response functions, we clarified the profiles of how the morphology spatiotemporally changes in response to local and transient activation of Rac1 and Cdc42, and found that Rac1 and Cdc42 activation triggers laterally propagating membrane protrusion. The response functions were also endowed with property of differentiator, which is beneficial for maintaining sensitivity under adaptation to the mean level of input. Using the response function, we could predict the morphological change from molecular activity, and its predictive performance provides a new quantitative measure of how much the Rho GTPases participate in the cell migration. Interestingly, we discovered distinct predictive performance of Rac1 and Cdc42 depending on the migration modes, indicating that Rac1 and Cdc42 contribute to persistent and random migration, respectively. Thus, our proposed predictive approach enabled us to uncover the hidden information processing rules of Rho GTPases in the cell migration.

Indexed as

Time-Lapse Imagingcdc42 GTP-Binding ProteinCell Line, TumorCell MovementCell Surface ExtensionsFluorescence Resonance Energy TransferHumansNeuropeptidesrac1 GTP-Binding ProteinSignal Transductioncdc42 GTP-Binding ProteinNeuropeptidesrac1 GTP-Binding ProteinRac1 protein, mouse

Identifiers

PMID26634649
PMCPMC4669460
OpenAlexW2221895040

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.