Version 1
: Received: 27 September 2023 / Approved: 29 September 2023 / Online: 29 September 2023 (12:02:33 CEST)
How to cite:
Barham, K.; Spencer, R.; Baker, N.C.; Knudsen, A.T.B.B. Engineering a Computable Epiblast for in silico Modeling of Developmental Toxicity. Preprints2023, 2023092097. https://doi.org/10.20944/preprints202309.2097.v1
Barham, K.; Spencer, R.; Baker, N.C.; Knudsen, A.T.B.B. Engineering a Computable Epiblast for in silico Modeling of Developmental Toxicity. Preprints 2023, 2023092097. https://doi.org/10.20944/preprints202309.2097.v1
Barham, K.; Spencer, R.; Baker, N.C.; Knudsen, A.T.B.B. Engineering a Computable Epiblast for in silico Modeling of Developmental Toxicity. Preprints2023, 2023092097. https://doi.org/10.20944/preprints202309.2097.v1
APA Style
Barham, K., Spencer, R., Baker, N.C., & Knudsen, A.T.B.B. (2023). Engineering a Computable Epiblast for in silico Modeling of Developmental Toxicity. Preprints. https://doi.org/10.20944/preprints202309.2097.v1
Chicago/Turabian Style
Barham, K., Nancy C. Baker and And Thomas B. B. Knudsen. 2023 "Engineering a Computable Epiblast for in silico Modeling of Developmental Toxicity" Preprints. https://doi.org/10.20944/preprints202309.2097.v1
Abstract
Developmental hazard evaluation is an important part of assessing chemical risks during pregnancy. Toxicological outcomes from prenatal testing in pregnant animals result from complex chemical-biological interactions, and while New Approach Methods (NAMs) based on in vitro bioactivity profiles of human cells offer promising alternatives to animal testing, most of these assays lack cellular positional information, physical constraints, and regional organization of the intact embryo. Here, we engineered a fully computable model of the embryonic disc in the compucell3d.org modeling environment to simulate epithelial-mesenchymal transition of epiblast cells and self-organization of mesodermal domains (chordamesoderm, paraxial, lateral plate, posterior/extraembryonic). Cell fate in the model is determined by an autonomous homeobox (HOX) clock driven by morphogenetic signals (e.g., FGF, WNT, ATRA, CDX). Executing the model renders a quantitative cell-level computation of mesodermal subpopulations and consequences of perturbation based on known embryogeny. For example, synthetic perturbation of the control network rendered altered phenotypes (cybermorphs) mirroring experimental mouse embryology, with 50% reductions in FGF4, FGF8 and BMP4 signaling resulting in 86%, 98% and 59% reductions, respectively in the posterior mesodermal population, while ATRA exposure also resulted in a 78% decrease in this population. This model enables integration of in vitro chemical bioactivity data for specific molecular targets with known embryology to test mechanistic veracity and quantitative prediction of altered development.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
