Modeling Organogenesis from Biological First Principles

In Matteo Mossio (ed.), Organization in Biology. Springer. pp. 263-283 (2023)
  Copy   BIBTEX

Abstract

Unlike inert objects, organisms and their cells have the ability to initiate activity by themselves and thus change their properties or states even in the absence of an external cause. This crucial difference led us to search for principles suitable for the study organisms. We propose that cells follow the default state of proliferation with variation and motility, a principle of biological inertia. This means that in the presence of sufficient nutrients, cells will express their default state. We also propose a principle of variation that addresses two central features of organisms, variation and historicity. To address interdependence between parts, we use a third principle, the principle of organization, more specifically, the notion of the closure of constraints. Within this theoretical framework, constraints are specific theoretical entities defined by their relative stability with respect to the processes they constrain. Constraints are mutually dependent in an organized system and act on the default state.Here we discuss the application and articulation of these principles for mathematical modeling of morphogenesis in a specific case, that of mammary ductal morphogenesis, with an emphasis on the default state. Our model has both a biological component, the cells, and a physical component, the matrix that contains collagen fibers. Cells are agents that move and proliferate unless constrained; they exert mechanical forces that act (i) on collagen fibers and (ii) on other cells. As fibers are organized, they constrain the cells’ ability to move and to proliferate. This model exhibits a circularity that can be interpreted in terms of the closure of constraints. Implementing our mathematical model shows that constraints to the default state are sufficient to explain the formation of mammary epithelial structures. Finally, the success of this modeling effort suggests a stepwise approach whereby additional constraints imposed by the tissue and the organism can be examined in silico and rigorously tested by in vitro and in vivo experiments, in accordance with the organicist perspective we embrace.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 91,503

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Soul searching and heart throbbing for biological modeling.Daniel L. Young & Chi-Sang Poon - 2001 - Behavioral and Brain Sciences 24 (6):1080-1081.
Measurement in biology is methodized by theory.Maël Montévil - 2019 - Biology and Philosophy 34 (3):35.
Modeling Lung Branching Morphogenesis.Takashi Miura - 2013 - Biological Theory 8 (3):265-273.
Biomimetic robots and biology.Allen I. Selverston - 2001 - Behavioral and Brain Sciences 24 (6):1077-1077.

Analytics

Added to PP
2023-11-11

Downloads
80 (#207,412)

6 months
80 (#59,535)

Historical graph of downloads
How can I increase my downloads?

Author Profiles

Maël Montévil
Université Paris-Sorbonne
Ana M. Soto
Tufts University

References found in this work

No references found.

Add more references