Literature DB >> 27180093

Computational modeling and simulation of genital tubercle development.

Maxwell C K Leung1, M Shane Hutson2, Ashley W Seifert3, Richard M Spencer4, Thomas B Knudsen5.   

Abstract

Hypospadias is a developmental defect of urethral tube closure that has a complex etiology involving genetic and environmental factors, including anti-androgenic and estrogenic disrupting chemicals; however, little is known about the morphoregulatory consequences of androgen/estrogen balance during genital tubercle (GT) development. Computer models that predictively model sexual dimorphism of the GT may provide a useful resource to translate chemical-target bipartite networks and their developmental consequences across the human-relevant chemical universe. Here, we describe a multicellular agent-based model of genital tubercle (GT) development that simulates urethrogenesis from the sexually-indifferent urethral plate stage to urethral tube closure. The prototype model, constructed in CompuCell3D, recapitulates key aspects of GT morphogenesis controlled by SHH, FGF10, and androgen pathways through modulation of stochastic cell behaviors, including differential adhesion, motility, proliferation, and apoptosis. Proper urethral tube closure in the model was shown to depend quantitatively on SHH- and FGF10-induced effects on mesenchymal proliferation and epithelial apoptosis-both ultimately linked to androgen signaling. In the absence of androgen, GT development was feminized and with partial androgen deficiency, the model resolved with incomplete urethral tube closure, thereby providing an in silico platform for probabilistic prediction of hypospadias risk across combinations of minor perturbations to the GT system at various stages of embryonic development.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Agent-based model; Computational toxicology; Genital tubercle; Hypospadias

Mesh:

Substances:

Year:  2016        PMID: 27180093     DOI: 10.1016/j.reprotox.2016.05.005

Source DB:  PubMed          Journal:  Reprod Toxicol        ISSN: 0890-6238            Impact factor:   3.143


  11 in total

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Authors:  Maxwell C K Leung; Andrew C Procter; Jared V Goldstone; Jonathan Foox; Robert DeSalle; Carolyn J Mattingly; Mark E Siddall; Alicia R Timme-Laragy
Journal:  Reprod Toxicol       Date:  2017-03-04       Impact factor: 3.143

2.  Computational Model of Secondary Palate Fusion and Disruption.

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Journal:  Toxicol Sci       Date:  2021-04-12       Impact factor: 4.849

9.  Bayesian calibration of a stochastic, multiscale agent-based model for predicting in vitro tumor growth.

Authors:  Ernesto A B F Lima; Danial Faghihi; Russell Philley; Jianchen Yang; John Virostko; Caleb M Phillips; Thomas E Yankeelov
Journal:  PLoS Comput Biol       Date:  2021-11-29       Impact factor: 4.475

Review 10.  Bridging the Data Gap From in vitro Toxicity Testing to Chemical Safety Assessment Through Computational Modeling.

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Journal:  Front Public Health       Date:  2018-09-11
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