Evidence map›Paper›PMID 26728857›Full record

ArticleThe Journal of cell biology2016

Computer vision profiling of neurite outgrowth dynamics reveals spatiotemporal modularity of Rho GTPase signaling.

Ludovico Fusco, Riwal Lefort, Kevin Smith, Fethallah Benmansour, German Gonzalez, Caterina Barillari, Bernd Rinn, Francois Fleuret, Pascal Fua, Olivier Pertz

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of cell biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.5field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. TRPV4: A trigger of pathological RhoA activation in neurological disease.BioEssays : news and reviews in molecular, cellular and developmental biology · 2022
    Article
  5. Article
  6. Serotonin 5-HTCommunications biology · 2020
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. 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

10 authors at 4 institutions in 1 country.

Ludovico FuscoDepartment of Biomedicine, University of Basel, 4058 Basel, Switzerland.
Riwal LefortInstitut Dalla Molle d'Intelligence Artificielle Perceptive (IDIAP Research Institute), 1920 Martigny, Switzerland.
Kevin SmithComputer Vision Laboratory, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.
Fethallah BenmansourComputer Vision Laboratory, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.
German GonzalezComputer Vision Laboratory, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.
Caterina BarillariDepartment of Biosystems Science and Engineering, Eidgenössische Technische Hochschule, 4058 Basel, Switzerland.
Bernd RinnDepartment of Biosystems Science and Engineering, Eidgenössische Technische Hochschule, 4058 Basel, Switzerland.
Francois FleuretInstitut Dalla Molle d'Intelligence Artificielle Perceptive (IDIAP Research Institute), 1920 Martigny, Switzerland.
Pascal FuaComputer Vision Laboratory, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.
Olivier PertzDepartment of Biomedicine, University of Basel, 4058 Basel, Switzerland olivier.pertz@izb.unibe.ch.
École Polytechnique Fédérale de Lausanne · CHBoard of the Swiss Federal Institutes of Technology · CHIdiap Research Institute · CHUniversity of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rho guanosine triphosphatases (GTPases) control the cytoskeletal dynamics that power neurite outgrowth. This process consists of dynamic neurite initiation, elongation, retraction, and branching cycles that are likely to be regulated by specific spatiotemporal signaling networks, which cannot be resolved with static, steady-state assays. We present NeuriteTracker, a computer-vision approach to automatically segment and track neuronal morphodynamics in time-lapse datasets. Feature extraction then quantifies dynamic neurite outgrowth phenotypes. We identify a set of stereotypic neurite outgrowth morphodynamic behaviors in a cultured neuronal cell system. Systematic RNA interference perturbation of a Rho GTPase interactome consisting of 219 proteins reveals a limited set of morphodynamic phenotypes. As proof of concept, we show that loss of function of two distinct RhoA-specific GTPase-activating proteins (GAPs) leads to opposite neurite outgrowth phenotypes. Imaging of RhoA activation dynamics indicates that both GAPs regulate different spatiotemporal Rho GTPase pools, with distinct functions. Our results provide a starting point to dissect spatiotemporal Rho GTPase signaling networks that regulate neurite outgrowth.

Indexed as

Signal TransductionSpatio-Temporal AnalysisAnimalsMiceNeuritesPhenotyperhoA GTP-Binding ProteinTumor Cells, CulturedrhoA GTP-Binding Protein

Identifiers

PMID26728857
PMCPMC4700477
OpenAlexW2197186176

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.