Evidence map›Paper›PMID 16299082›Full record

ArticleBiophysical journal2006

Cell population dynamics modulate the rates of tissue growth processes.

Gang Cheng, Belgacem B Youssef, Pauline Markenscoff, Kyriacos Zygourakis

Abstract read
In one paragraph

Article in Biophysical journal, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Toward improvedAPL bioengineering · 2021
    Article
  3. Collective cell migration has distinct directionality and speed dynamics.Cellular and molecular life sciences : CMLS · 2017
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Efficient coarse simulation of a growing avascular tumor.Physical review. E, Statistical, nonlinear, and soft matter physics · 2012
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. 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.

Gang ChengDepartment of Chemical and Biomolecular Engineering, Rice University, Houston, Texas 77251-1892, USA.
Belgacem B Youssef
Pauline Markenscoff
Kyriacos Zygourakis

Funding

IN SITU POLYMERIZABLE GELS FOR DENTAL TISSUE ENGINEERINGR01DE013031 · NIDCR · RICE UNIVERSITY · PI MIKOS, ANTONIOS G. · 1998 to 2002
$835k
NIDCR NIH HHS R01-DE13031
6 · The paper itself

Abstract

The development and testing of a discrete model describing the dynamic process of tissue growth in three-dimensional scaffolds is presented. The model considers populations of cells that execute persistent random walks on the computational grid, collide, and proliferate until they reach confluence. To isolate the effect of population dynamics on tissue growth, the model assumes that nutrient and growth factor concentrations remain constant in space and time. Simulations start either by distributing the seed cells uniformly and randomly throughout the scaffold, or from an initial condition designed to simulate the migration and cell proliferation phase of wound healing. Simulations with uniform seeding show that cell migration enhances tissue growth by counterbalancing the adverse effects of contact inhibition. This beneficial effect, however, diminishes and disappears completely for large migration speeds. By contrast, simulations with the "wound" seeding mode show a continual enhancement of tissue regeneration rates with increasing cell migration speeds. We conclude that cell locomotory parameters and the spatial distribution of seed cells can have profound effects on the dynamics of the process and, consequently, on the pattern and rates of tissue growth. These results can guide the design of experiments for testing the effectiveness of biomimetic modifications for stimulating tissue growth.

Indexed as

AlgorithmsAnimalsAnisotropyBiophysicsCell CycleCell DivisionCell MovementCell ProliferationComputer SimulationImaging, Three-DimensionalModels, BiologicalModels, StatisticalSoftwareTime FactorsTissue EngineeringWound Healing

Identifiers

PMID16299082
PMCPMC1367098

What OpenQuestion holds

Textmetadata
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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.