Image data analysis and agent-based modelling of the spatio-temporal interaction between immune cells and human-pathogenic fungi
SEEK ID: https://funginet.hki-jena.de/projects/27
Public web page: http://www.funginet.de/project-b4.html
Organisms: Aspergillus fumigatus, Candida albicans
INF PALs: No PALs for this Project
Project created: 21st Jul 2015
Related items
- People (11)
- Institutions (1)
- Data files (0+3)
- Models (9+2)
- Publications (26)
- Presentations (2+16)
- Events (0+6)

Projects: FungiNet total, INF, A1, A2, A3, A4 (E), A5, A6, B1, B3 (E), B4, B5, C1, C2, C3, C4 (E), C5, C6 (E), Z1, Z2, FungiNet A - Aspergillus projects, FungiNet B - Bioinformatics projects, FungiNet C - Candida projects, B2
Institutions: Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI)

Projects: B4
Institutions: Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI)
README
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This package contains code that generates and analyses tracks in 2D given three
distinct condition; non-persistent, persistent and directed by the
Ornstein-Uhlenbeck process. Full details on the analysis can be found in the
article "Svensson et al., Untangling cell tracks: quantifying cell migration by
time lapse image data analysis, Cytometry Pt A, 2017". The paper can be found
on
...
Creator: Carl-Magnus Svensson
Contributor: Carl-Magnus Svensson
Model type: Ordinary differential equations (ODE)
Model format: Not specified
Environment: Not specified
Organism: Not specified
Investigations: No Investigations
Studies: No Studies
Modelling analyses: No Modelling analyses
This model is a variant of the previously developed SBM of whole-blood infection assay. While in the previous model a spontaneous immune evasion mechanism (A) was implemented in this model immune evasion was caused by PMN molecule secretion (B).
Creators: Teresa Lehnert, Maria T. E. Prauße
Contributor: Sandra Timme
Model type: Not specified
Model format: Not specified
Environment: Not specified
Organism: Candida albicans
Investigations: No Investigations
Studies: No Studies
Modelling analyses: No Modelling analyses
The state-based model (SBM) allow to simulate the interplay between innate immune cells, such as monocytes and PMN, and Candida albicans and to quantify immune reaction rates like phagocytosis and killing rates. It is implemented in C++.
Creator: Teresa Lehnert
Contributor: Sandra Timme
Model type: Not specified
Model format: Not specified
Environment: Not specified
Organism: Candida albicans
Investigations: No Investigations
Studies: No Studies
Modelling analyses: No Modelling analyses
DynaCoSys models the complement system by using a combination of Ordinary and Partial Differential Equations.
Creators: Teresa Lehnert, Alexander Tille
Contributor: Sandra Timme
Model type: Partial differential equations (PDE)
Model format: Not specified
Environment: Not specified
Organism: Candida albicans
Investigations: No Investigations
Studies: No Studies
Modelling analyses: No Modelling analyses
Adaptation of the previously developed virtual infection model of Aspergillus fumigatus in a *human* alveolus.
This model comprises a hybrid agent-based model of a single murine alveolus. The alveolus is represented in a realistic to-scale representation and contains the cell types of alveolar epithelial cells (AEC) of type 1 and 2 as well as the pores of Kohn (PoK).
Furthermore, in this model, depending on the infection dose multiple A. fumigatus conidium are inserted into the alveolus and the
...
Creators: Sandra Timme, Marco Blickensdorf
Contributor: Sandra Timme
Model type: Agent based modelling
Model format: Not specified
Environment: Not specified
Organism: Aspergillus fumigatus
Investigations: No Investigations
Studies: No Studies
Modelling analyses: No Modelling analyses
Abstract (Expand)
Authors: A. Tille, Teresa Lehnert, Peter Zipfel, Marc Thilo Figge
Date Published: 5th Oct 2020
Journal: Front Immunol
PubMed ID: 33013842
Citation: Front Immunol. 2020 Sep 2;11:1911. doi: 10.3389/fimmu.2020.01911. eCollection 2020.
Abstract (Expand)
Authors: M. Blickensdorf, Sandra Timme, Marc Thilo Figge
Date Published: 9th Sep 2020
Journal: Front Microbiol
PubMed ID: 32903715
Citation: Front Microbiol. 2020 Aug 12;11:1951. doi: 10.3389/fmicb.2020.01951. eCollection 2020.
Abstract (Expand)
Authors: F. Schmidt, A. Thywissen, M. Goldmann, C. Cunha, Z. Cseresnyes, H. Schmidt, M. Rafiq, S. Galiani, M. H. Graler, G. Chamilos, J. F. Lacerda, A. Jr Campos, C. Eggeling, Marc Thilo Figge, Thorsten Heinekamp, S. G. Filler, A. Carvalho, Axel Brakhage
Date Published: 18th Aug 2020
Journal: Cell Rep
PubMed ID: 32814035
Citation: Cell Rep. 2020 Aug 18;32(7):108017. doi: 10.1016/j.celrep.2020.108017.
Abstract (Expand)
Authors: Z. Cseresnyes, M. I. A. Hassan, H. M. Dahse, Kerstin Voigt, Marc Thilo Figge
Date Published: 26th Jun 2020
Journal: Front Microbiol
PubMed ID: 32582113
Citation: Front Microbiol. 2020 Jun 5;11:1193. doi: 10.3389/fmicb.2020.01193. eCollection 2020.
Abstract (Expand)
Authors: M. I. A. Hassan, J. M. Kruse, Thomas Krüger, H. M. Dahse, Z. Cseresnyes, M. G. Blango, Hortense Slevogt, F. Horhold, V. Ast, R. Konig, Marc Thilo Figge, Olaf Kniemeyer, Axel Brakhage, Kerstin Voigt
Date Published: 26th Jun 2020
Journal: Environ Microbiol
PubMed ID: 32583550
Citation: Environ Microbiol. 2020 Sep;22(9):3722-3740. doi: 10.1111/1462-2920.15140. Epub 2020 Jul 21.
Overview of Project B4 and presentation of a state-based model regarding the immune evasion of C. albicans in human whole-blood infection assays
Creator: Sandra Timme
Contributor: Sandra Timme