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Archives of 2016

  1. Theoretical approach of ductal morphogenesis

    Theoretical approach of ductal morphogenesis

    Journal of Theoretical and Applied Vascular Research


    We propose a theoretical framework to model the behavior of cells in tissues and develop an application in the case of duct morphogenesis in mammary glands.

    Abstract

    We developed 3D culture methods that reproduce in vitro mammary gland ductal morphogenesis. We are proposing a conceptual framework to understand morphogenetic events based on epistemologically sound biological principles instead of the common practice of using only physical principles. More specifically, our theoretical framework is based on the principle that the default state of cells is proliferation with variation and motility. We emphasize the role played by the agency of cells embedded in a gel and the circularity that is relevant for the intended process, whereby cells act upon other cells and on matrix elements, and are subject to the agentivity of neighboring cells. This circularity strongly differs from classical linear causality. Finally, our approach opens up the study of causal determination to multilevel explanations rather than to reductive ones involving only molecules in general and genes in particular.

    Keywords: Morphogenesis, extracellular matrix, theoretical principles, default state of cells, modelization.

    Citation
    Montévil, Maël, Carlos Sonnenschein, and Ana M Soto. 2016. “Theoretical Approach of Ductal Morphogenesis.” Journal of Theoretical and Applied Vascular Research 1 (1): 45–49. https://doi.org/10.24019/jtavr.7
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  2. Modélisation de l’organogénèse mammaire à partir de principes biologiques premiers: les cellules et leurs contraintes physiques.


    Modéliser des systèmes de cellules est un besoin commun en biologie et pour lequel il n’y pas de méthode standard. Dans ce séminaire, nous présenterons deux approches de ce problème. Nous discuterons en particulier l’interaction entre modélisateurs et biologistes, et l’articulation entre modèles et phénomènes biologiques.

  3. Asymétries et symétries en biologie: Allométrie, classification phylogénétique et biophysique


    L’allométrie est l’analyse de la variation de certaines grandeurs (métabolisme, rythmes, ...) en fonction de la taille de l’objet considéré. Elle procède d’une hypothèse de symétrie entre des objets de tailles différentes et a conduit à des résultats remarquables en biologie. Cependant, ces résultats sont le lieu de conflits d’interprétation entre un point de vue physique, où les relations allométriques sont conçues comme une « loi de la nature » et un point de vue plus biologique où l’historicité du vivant et les exceptions sont mises en valeur. Pour expliciter cette différence de point de vue, nous allons discuter les bases théoriques de la phylogénie, c’est-à-dire la classification évolutive des êtres vivants. Dans la théorie de l’évolution, la variation, une asymétrie, est un principe premier et ce n’est que dans un deuxième temps que certains caractères peuvent être interprétés comme plus ou moins symétriques (conservés). Ici donc, les symétries pertinentes sont les homologies, les caractères ayant une origine commune située historiquement. Nous proposerons enfin un cadre conceptuel permettant d’articuler l’épistémologie de la physique où les symétries fondamentales sont postulées et celle de la biologie, où les symétries apparaissent de manière historique.

  4. Modeling mammary gland from biological first principles.


    We strudy 3D culture methods that reproduce in vitro mammary gland ductal morphogenesis. We are proposing a conceptual framework to understand morphogenetic events based on epistemologically sound biological principles instead of using only physical principles. More specifically, our theoretical framework is based on the principle that the default state of cells is proliferation with variation and motility. We emphasize the role played by the agency of cells embedded in a gel and the circularity that is relevant for the intended process, whereby cells act upon other cells and on matrix elements, and are subject to the agency of neighboring cells. This circularity strongly differs from classical linear causality. Finally, our approach opens up the study of causal determination to multilevel explanations rather than to reductive ones involving only molecules in general and genes in particular.

  5. Modeling mammary organogenesis from biological first principles: Cells and their physical constraints

    Modeling mammary organogenesis from biological first principles: Cells and their physical constraints

    Progress in Biophysics and Molecular Biology


    We developed a mathematical model of mammary gland based on proper biological principles: the default state of cells and the principle of organization.

    Abstract

    Abstract In multicellular organisms, relations among parts and between parts and the whole are contextual and interdependent. These organisms and their cells are ontogenetically linked: an organism starts as a cell that divides producing non-identical cells, which organize in tri-dimensional patterns. These association patterns and cells types change as tissues and organs are formed. This contextuality and circularity makes it difficult to establish detailed cause and effect relationships. Here we propose an approach to overcome these intrinsic difficulties by combining the use of two models; 1) an experimental one that employs 3D culture technology to obtain the structures of the mammary gland, namely, ducts and acini, and 2) a mathematical model based on biological principles. The typical approach for mathematical modeling in biology is to apply mathematical tools and concepts developed originally in physics or computer sciences. Instead, we propose to construct a mathematical model based on proper biological principles. Specifically, we use principles identified as fundamental for the elaboration of a theory of organisms, namely i) the default state of cell proliferation with variation and motility and ii) the principle of organization by closure of constraints. This model has a biological component, the cells, and a physical component, a matrix which contains collagen fibers. Cells display agency and move and proliferate unless constrained; they exert mechanical forces that i) act on collagen fibers and ii) on other cells. As fibers organize, they constrain the cells on their ability to move and to proliferate. The model exhibits a circularity that can be interpreted in terms of closure of constraints. Implementing the mathematical model shows that constraints to the default state are sufficient to explain ductal and acinar formation, and points to a target of future research, namely, to inhibitors of cell proliferation and motility generated by the epithelial cells. The success of this model suggests a step-wise approach whereby additional constraints imposed by the tissue and the organism could be examined in silico and rigorously tested by in vitro and in vivo experiments, in accordance with the organicist perspective we embrace.

    Keywords: Ductal morphogenesis, Mathematical models, Organicism, Organizational closure, Acinar morphogenesis, Mammary gland morphogenesis

    Citation
    Montévil, Maël, L. Speroni, Carlos Sonnenschein, and Ana M. Soto. 2016. “Modeling Mammary Organogenesis from Biological First Principles: Cells and Their Physical Constraints.” Progress in Biophysics and Molecular Biology 122 (1): 58–69. https://doi.org/10.1016/j.pbiomolbio.2016.08.004
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  6. Theoretical principles for biology: Variation

    Theoretical principles for biology: Variation

    Progress in Biophysics and Molecular Biology


    Biological variation should be given the status of a fundamental theoretical principle in biology. Variation goes with randomness, historicity and contextuality.

    Abstract

    Abstract Darwin introduced the concept that random variation generates new living forms. In this paper, we elaborate on Darwin’s notion of random variation to propose that biological variation should be given the status of a fundamental theoretical principle in biology. We state that biological objects such as organisms are specific objects. Specific objects are special in that they are qualitatively different from each other. They can undergo unpredictable qualitative changes, some of which are not defined before they happen. We express the principle of variation in terms of symmetry changes, where symmetries underlie the theoretical determination of the object. We contrast the biological situation with the physical situation, where objects are generic (that is, different objects can be assumed to be identical) and evolve in well-defined state spaces. We derive several implications of the principle of variation, in particular, biological objects show randomness, historicity and contextuality. We elaborate on the articulation between this principle and the two other principles proposed in this special issue: the principle of default state and the principle of organization.

    Keywords: Variability, Historicity, Genericity, Biological randomness, Organization, Theory of organisms

    Citation
    Montévil, Maël, Matteo Mossio, A. Pocheville, and G. Longo. 2016. “Theoretical Principles for Biology: Variation.” Progress in Biophysics and Molecular Biology 122 (1): 36–50. https://doi.org/10.1016/j.pbiomolbio.2016.08.005
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  7. Theoretical principles for biology: Organization

    Theoretical principles for biology: Organization

    Progress in Biophysics and Molecular Biology


    In the search of a theory of biological organisms, we propose to adopt organization as a theoretical principle and define it as closure of constraints.

    Abstract

    Abstract In the search of a theory of biological organisms, we propose to adopt organization as a theoretical principle. Organization constitutes an overarching hypothesis that frames the intelligibility of biological objects, by characterizing their relevant aspects. After a succinct historical survey on the understanding of organization in the organicist tradition, we offer a specific characterization in terms of closure of constraints. We then discuss some implications of the adoption of organization as a principle and, in particular, we focus on how it fosters an original approach to biological stability, as well as and its interplay with variation.

    Keywords: Theoretical principle, Organization, Constraints, Closure, Stability, Organicism

    Citation
    Mossio, Matteo, Maël Montévil, and G. Longo. 2016. “Theoretical Principles for Biology: Organization.” Progress in Biophysics and Molecular Biology 122 (1): 24–35. https://doi.org/10.1016/j.pbiomolbio.2016.07.005
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  8. Toward a theory of organisms: Three founding principles in search of a useful integration

    Toward a theory of organisms: Three founding principles in search of a useful integration

    Progress in Biophysics and Molecular Biology


    We articulate three principles for a theory of organisms proposed, namely: the default state the principle of variation and the principle of organization.

    Abstract

    Abstract Organisms, be they uni- or multi-cellular, are agents capable of creating their own norms; they are continuously harmonizing their ability to create novelty and stability, that is, they combine plasticity with robustness. Here we articulate the three principles for a theory of organisms, namely: the default state of proliferation with variation and motility, the principle of variation and the principle of organization. These principles profoundly change both biological observables and their determination with respect to the theoretical framework of physical theories. This radical change opens up the possibility of anchoring mathematical modeling in biologically proper principles.

    Keywords: Default state, Biological organization, Organizational closure, Variation, Individuation

    Citation
    Soto, Ana M., G. Longo, P.-A. Miquel, M. Montevil, Matteo Mossio, N. Perret, A. Pocheville, and Carlos Sonnenschein. 2016. “Toward a Theory of Organisms: Three Founding Principles in Search of a Useful Integration.” Progress in Biophysics and Molecular Biology 122 (1): 77–82. https://doi.org/10.1016/j.pbiomolbio.2016.07.006
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