Multiscale Modeling of Embryonic Morphogenesis from Fertilization to Organogenesis.

IF 4.4 2区生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY

NPJ Systems Biology and Applications Pub Date : 2026-07-15 DOI:10.1038/s41540-026-00788-y

Debanik Deb, Orishma Parida, Laasya Naduthota, Bandan Chakrabortty

引用次数: 0

Abstract

Embryonic development transforms a single cell into a structured multicellular organism through coordinated molecular, cellular, and tissue-level processes. In this review, we discuss multiscale modeling studies spanning early embryogenesis from fertilization to organogenesis across diverse systems, emphasizing how distinct computational frameworks have been used to investigate different stages of embryonic morphogenesis. Drawing on complementary animal models, we highlight how multiscale approaches provide mechanistic insights into embryonic patterning and form generation.

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从受精到器官发生的胚胎形态发生的多尺度建模。

胚胎发育通过协调的分子、细胞和组织水平的过程，将单细胞转化为有结构的多细胞生物。在这篇综述中，我们讨论了跨不同系统从受精到器官发生的早期胚胎发生的多尺度建模研究，强调了如何使用不同的计算框架来研究胚胎形态发生的不同阶段。利用互补的动物模型，我们强调了多尺度方法如何为胚胎模式和形态生成提供机制见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

NPJ Systems Biology and Applications Mathematics-Applied Mathematics

CiteScore

5.80

自引率

0.00%

发文量

审稿时长

8 weeks

期刊介绍： npj Systems Biology and Applications is an online Open Access journal dedicated to publishing the premier research that takes a systems-oriented approach. The journal aims to provide a forum for the presentation of articles that help define this nascent field, as well as those that apply the advances to wider fields. We encourage studies that integrate, or aid the integration of, data, analyses and insight from molecules to organisms and broader systems. Important areas of interest include not only fundamental biological systems and drug discovery, but also applications to health, medical practice and implementation, big data, biotechnology, food science, human behaviour, broader biological systems and industrial applications of systems biology. We encourage all approaches, including network biology, application of control theory to biological systems, computational modelling and analysis, comprehensive and/or high-content measurements, theoretical, analytical and computational studies of system-level properties of biological systems and computational/software/data platforms enabling such studies.