Evidence map›Paper›PMID 18199677›Full record

ArticleBiophysical journal2008

Exploring the control circuit of cell migration by mathematical modeling.

Javier Satulovsky, Roger Lui, Yu-li Wang

Abstract read
In one paragraph

Article in Biophysical journal, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Tools for computational analysis of moving boundary problems in cellular mechanobiology.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Excitable Signal Transduction Networks in Directed Cell Migration.Annual review of cell and developmental biology · 2017
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  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

3 authors.

Javier SatulovskyDepartment of Physiology, University of Massachusetts Medical School, Worcester, Massachusetts 01605, USA.
Roger Lui
Yu-li Wang

Funding

DYNAMICS OF ACTIN IN NORMAL AND TRANSFORMED CELLSR37GM032476 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI WANG, YU-LI · 1998 to 2007
$3.4M
DYNAMICS OF ACTIN STRUCTURES DURING CELL TRANSFORMATIONR01GM032476 · NIGMS · WORCESTER FOUNDATION FOR BIOMEDICAL RES · PI WANG, YU-LI · 1986 to 2011
$2.0M
CELL BIOLOGY OF DEVELOPMENTT32HD007312 · NICHD · WORCESTER FOUNDATION FOR BIOMEDICAL RES · PI RICHTER, JOEL D · 1985 to 2010
$1.9M
NICHD NIH HHS T32 HD007312NICHD NIH HHS T32 HD07312NIGMS NIH HHS GM-32476NIGMS NIH HHS R01 GM032476NIGMS NIH HHS R37 GM032476
6 · The paper itself

Abstract

We have developed a top-down, rule-based mathematical model to explore the basic principles that coordinate mechanochemical events during animal cell migration, particularly the local-stimulation-global-inhibition model suggested originally for chemotaxis. Cells were modeled as a shape machine that protrudes or retracts in response to a combination of local protrusion and global retraction signals. Using an optimization algorithm to identify parameters that generate specific shapes and migration patterns, we show that the mechanism of local stimulation global inhibition can readily account for the behavior of Dictyostelium under a large collection of conditions. Within this collection, some parameters showed strong correlation, indicating that a normal phenotype may be maintained by complementation among functional modules. In addition, comparison of parameters for control and nocodazole-treated Dictyostelium identified the most prominent effect of microtubules as regulating the rates of retraction and protrusion signal decay, and the extent of global inhibition. Other changes in parameters can lead to profound transformations from amoeboid cells into cells mimicking keratocytes, neurons, or fibroblasts. Thus, a simple circuit of local stimulation-global inhibition can account for a wide range of cell behaviors. A similar top-down approach may be applied to other complex problems and combined with molecular manipulations to define specific protein functions.

Indexed as

Cell MovementModels, BiologicalAnimalsCell ShapeDictyosteliumFeedback, PhysiologicalMicrotubulesSignal Transduction

Identifiers

PMID18199677
PMCPMC2292371

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.