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Software JimenaE allows efficient dynamic simulations of Boolean networks, centrality and system state analysis

Please always quote using this URN: urn:nbn:de:bvb:20-opus-313303
  • The signal modelling framework JimenaE simulates dynamically Boolean networks. In contrast to SQUAD, there is systematic and not just heuristic calculation of all system states. These specific features are not present in CellNetAnalyzer and BoolNet. JimenaE is an expert extension of Jimena, with new optimized code, network conversion into different formats, rapid convergence both for system state calculation as well as for all three network centralities. It allows higher accuracy in determining network states and allows to dissect networks andThe signal modelling framework JimenaE simulates dynamically Boolean networks. In contrast to SQUAD, there is systematic and not just heuristic calculation of all system states. These specific features are not present in CellNetAnalyzer and BoolNet. JimenaE is an expert extension of Jimena, with new optimized code, network conversion into different formats, rapid convergence both for system state calculation as well as for all three network centralities. It allows higher accuracy in determining network states and allows to dissect networks and identification of network control type and amount for each protein with high accuracy. Biological examples demonstrate this: (i) High plasticity of mesenchymal stromal cells for differentiation into chondrocytes, osteoblasts and adipocytes and differentiation-specific network control focusses on wnt-, TGF-beta and PPAR-gamma signaling. JimenaE allows to study individual proteins, removal or adding interactions (or autocrine loops) and accurately quantifies effects as well as number of system states. (ii) Dynamical modelling of cell–cell interactions of plant Arapidopsis thaliana against Pseudomonas syringae DC3000: We analyze for the first time the pathogen perspective and its interaction with the host. We next provide a detailed analysis on how plant hormonal regulation stimulates specific proteins and who and which protein has which type and amount of network control including a detailed heatmap of the A.thaliana response distinguishing between two states of the immune response. (iii) In an immune response network of dendritic cells confronted with Aspergillus fumigatus, JimenaE calculates now accurately the specific values for centralities and protein-specific network control including chemokine and pattern recognition receptors.show moreshow less

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Metadaten
Author: Martin Kaltdorf, Tim Breitenbach, Stefan Karl, Maximilian Fuchs, David Komla Kessie, Eric Psota, Martina Prelog, Edita Sarukhanyan, Regina Ebert, Franz Jakob, Gudrun Dandekar, Muhammad Naseem, Chunguang Liang, Thomas Dandekar
URN:urn:nbn:de:bvb:20-opus-313303
Document Type:Journal article
Faculties:Fakultät für Mathematik und Informatik
Medizinische Fakultät / Kinderklinik und Poliklinik
Medizinische Fakultät / Lehrstuhl für Orthopädie
Fakultät für Biologie / Theodor-Boveri-Institut für Biowissenschaften
Medizinische Fakultät / Lehrstuhl für Tissue Engineering und Regenerative Medizin
Language:English
Parent Title (English):Scientific Reports
Year of Completion:2023
Volume:13
Article Number:1855
Source:Scientific Reports (2022) 13:1855. https://doi.org/10.1038/s41598-022-27098-7
DOI:https://doi.org/10.1038/s41598-022-27098-7
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Tag:cellular signalling networks; computer modelling
Release Date:2023/05/04
Open-Access-Publikationsfonds / Förderzeitraum 2022
Licence (German):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International