Evidence map›Paper›PMID 31836289›Full record

ReviewSeminars in cell & developmental biology2020

Excitable networks controlling cell migration during development and disease.

Xiaoguang Li, Yuchuan Miao, Dhiman Sankar Pal, Peter N Devreotes

Open access · greenAbstract readReview
In one paragraph

Review in Seminars in cell & developmental biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

21 citing papers in PubMed, 42 citations in OpenAlex.

  1. Decoding Rho GTPase signalling networks in directed cell migration.Frontiers in cell and developmental biology · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Competition and Synergy of Arp2/3 and Formins in Nucleating Actin Waves.bioRxiv : the preprint server for biology · 2023
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. The principles of directed cell migration.Nature reviews. Molecular cell biology · 2021
    Review
  14. From environmental sensing to developmental control: cognitive evolution in dictyostelid social amoebas.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
  15. Chemokine-biased robust self-organizing polarization of migrating cells in vivo.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  16. Article
  17. Review
  18. Review
  19. Using Live-Cell Imaging and Synthetic Biology to Probe Directed Migration inFrontiers in cell and developmental biology · 2021
    Review
  20. Article
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 at 2 institutions in 1 country.

Xiaoguang LiDepartment of Cell Biology and Center for Cell Dynamics, School of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA; Department of Biological Chemistry, School of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA.
Yuchuan MiaoDepartment of Cell Biology and Center for Cell Dynamics, School of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA; Department of Biological Chemistry, School of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA.
Dhiman Sankar PalDepartment of Cell Biology and Center for Cell Dynamics, School of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA.
Peter N DevreotesDepartment of Cell Biology and Center for Cell Dynamics, School of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA. Electronic address: pnd@jhmi.edu.
Johns Hopkins Medicine · USJohns Hopkins University · US

Funding

Excitable Networks in Directed Cell MigrationR35GM118177 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI Peter N Devreotes · 2016 to 2026
$12.1M
Zeiss LSM780 Confocal Microscope for a Core FacilityS10OD016374 · OD · JOHNS HOPKINS UNIVERSITY · PI KUO, SCOT CHARLES · 2013 to 2013
$584k
NIGMS NIH HHS R35 GM118177NIH HHS S10 OD016374
6 · The paper itself

Abstract

The directed movements of individual, groups, or sheets of cells at specific times in particular locations bring about form and complexity to developing organisms. Cells move by extending protrusions, such as macropinosomes, pseudopods, lamellipods, filopods, or blebs. Although many of the cytoskeletal components within these structures are known, less is known about the mechanisms that determine their location, number, and characteristics. Recent evidence suggests that control may be exerted by a signal transduction excitable network whose components and activities, including Ras, PI3K, TorC2, and phosphoinositides, self-organize on the plasma membrane and propagate in waves. The waves drive the various types of protrusions, which in turn, determine the modes of cell migration. Acute perturbations at specific points in the network produce abrupt shifts in protrusion type, including transitions from pseudopods to filopods or lamellipods. These observations have also contributed to a delineation of the signal transduction network, including candidate fast positive and delayed negative feedback loops. The network contains many oncogenes and tumor suppressors, and other molecules which have recently been implicated in developmental and metabolic abnormalities. Thus, the concept of signal transduction network excitability in cell migration can be used to understand disease states and morphological changes occurring in development.

Indexed as

Cell MovementDiseaseMetabolic Networks and PathwaysActinsAnimalsCytoskeletonHumansSignal TransductionActinsExcitabilityMigratory modesPIP3PTENRasGAPs/GEFsWave patterns

Identifiers

PMID31836289
PMCPMC7071959
OpenAlexW2994672021

What OpenQuestion holds

Textmetadata
LicenceTDM
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.