Evidence map›Paper›PMID 28045533›Full record

ArticleChemical research in toxicology2017

Computational Model of Secondary Palate Fusion and Disruption.

M Shane Hutson, Maxwell C K Leung, Nancy C Baker, Richard M Spencer, Thomas B Knudsen

Abstract read
In one paragraph

Article in Chemical research in toxicology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. A computational dynamic systems model forCurrent research in toxicology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
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  13. Article
  14. FutureTox IV Workshop Summary: Predictive Toxicology for Healthy Children.Toxicological sciences : an official journal of the Society of Toxicology · 2021
    Review
  15. Article
  16. Article
  17. Computational Biology andCurrent opinion in toxicology · 2020
    Article
  18. Review
  19. Article
  20. 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

5 authors.

M Shane HutsonDepartment of Physics & Astronomy, Department of Biological Sciences and Vanderbilt Institute for Integrative Biosystem Research & Education, Vanderbilt University , Nashville, Tennessee 37235, United States.
Maxwell C K LeungOak Ridge Institute for Science & Education , Oak Ridge, Tennessee 37832, United States.
Nancy C BakerLeidos , Research Triangle Park, Durham, North Carolina 27711 United States.
Richard M SpencerLeidos , Research Triangle Park, Durham, North Carolina 27711 United States.
Thomas B KnudsenNational Center for Computational Toxicology, Office of Research & Development, U.S. Environmental Protection Agency , Research Triangle Park, Durham, North Carolina 27711, United States.ORCID 0000-0002-5036-596X

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Morphogenetic events are driven by cell-generated physical forces and complex cellular dynamics. To improve our capacity to predict developmental effects from chemical-induced cellular alterations, we built a multicellular agent-based model in CompuCell3D that recapitulates the cellular networks and collective cell behavior underlying growth and fusion of the mammalian secondary palate. The model incorporated multiple signaling pathways (TGFβ, BMP, FGF, EGF, and SHH) in a biological framework to recapitulate morphogenetic events from palatal outgrowth through midline fusion. It effectively simulated higher-level phenotypes (e.g., midline contact, medial edge seam (MES) breakdown, mesenchymal confluence, and fusion defects) in response to genetic or environmental perturbations. Perturbation analysis of various control features revealed model functionality with respect to cell signaling systems and feedback loops for growth and fusion, diverse individual cell behaviors and collective cellular behavior leading to physical contact and midline fusion, and quantitative analysis of the TGF/EGF switch that controls MES breakdown-a key event in morphogenetic fusion. The virtual palate model was then executed with theoretical chemical perturbation scenarios to simulate switch behavior leading to a disruption of fusion following chronic (e.g., dioxin) and acute (e.g., retinoic acid) chemical exposures. This computer model adds to similar systems models toward an integrative "virtual embryo" for simulation and quantitative prediction of adverse developmental outcomes following genetic perturbation and/or environmental disruption.

Indexed as

Models, BiologicalAnimalsApoptosisCell DifferentiationCell MovementEpidermal Growth FactorFibroblast Growth Factor 10Mesenchymal Stem CellsMiceMonte Carlo MethodPalateSignal TransductionTransforming Growth Factor betaEpidermal Growth FactorFibroblast Growth Factor 10Transforming Growth Factor beta

Identifiers

PMID28045533
PMCPMC6196717

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.