Holistic View on the Structure of Immune Response: Petri Net Model

Author:

Scharf Sonja123ORCID,Ackermann Jörg1ORCID,Bender Leonie1,Wurzel Patrick123ORCID,Schäfer Hendrik34,Hansmann Martin-Leo23,Koch Ina1ORCID

Affiliation:

1. Molecular Bioinformatics, Institute of Computer Science, Goethe University Frankfurt, Robert-Mayer Str. 11-15, 60325 Frankfurt am Main, Germany

2. Frankfurt Institute for Advanced Studies, Ruth-Moufang-Str. 1, 60438 Frankfurt am Main, Germany

3. Institute of General Pharmacology and Toxicology, Goethe University Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany

4. Institute of Pathology, Corporate Member of Free University of Berlin, Humboldt-University of Berlin, Charity-University Medicine Berlin, Virchowweg 15, 10117 Berlin, Germany

Abstract

The simulation of immune response is a challenging task because quantitative data are scarce. Quantitative theoretical models either focus on specific cell–cell interactions or have to make assumptions about parameters. The broad variation of, e.g., the dimensions and abundance between lymph nodes as well as between individual patients hampers conclusive quantitative modeling. No theoretical model has been established representing a consensus on the set of major cellular processes involved in the immune response. In this paper, we apply the Petri net formalism to construct a semi-quantitative mathematical model of the lymph nodes. The model covers the major cellular processes of immune response and fulfills the formal requirements of Petri net models. The intention is to develop a model taking into account the viewpoints of experienced pathologists and computer scientists in the field of systems biology. In order to verify formal requirements, we discuss invariant properties and apply the asynchronous firing rule of a place/transition net. Twenty-five transition invariants cover the model, and each is assigned to a functional mode of the immune response. In simulations, the Petri net model describes the dynamic modes of the immune response, its adaption to antigens, and its loss of memory.

Funder

German Federal Ministry for Education and Research

Deutsche Forschungsgemeinschaft

Publisher

MDPI AG

Subject

General Biochemistry, Genetics and Molecular Biology,Medicine (miscellaneous)

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. 3D/4D strategische Lymphknotendiagnostik;Die Pathologie;2023-11-27

2. Multiphysics modelling of immune processes using distributed parameter systems;Russian Journal of Numerical Analysis and Mathematical Modelling;2023-10-01

3. Computational modeling of signal transduction networks without kinetic parameters: Petri net approaches;American Journal of Physiology-Cell Physiology;2023-05-01

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