In this study we investigate receptor–ligand binding in the context of antibody–antigen binding. We established a quantitative mapping between macroscopic binding rates of a deterministic differential equation model and their microscopic equivalents as obtained from simulating the spatiotemporal binding kinetics by a stochastic agent-based model. Furthermore, various properties of B cell-derived receptors like their dimensionality of motion, morphology, and binding valency are considered and their impact on receptor–ligand binding kinetics is investigated. The different morphologies of B cell-derived receptors include simple sperical representations as well as more realistic Y-shaped morphologies. These receptors move in different dimensionalities, i.e. either as membrane-anchored receptors or as soluble antibodies. The mapping of the macroscopic and microscopic binding rates allowed us to quantitatively compare different agent-based model variants for the different types of B cell-derived receptors. Our results indicate that the dimensionality of motion governs the binding kinetics and that this predominant impact is quantitatively compensated by the bivalency of these receptors.
Model for antigen binding by B cell-derived receptors
Publications
Quantitative Impact of Cell Membrane Fluorescence Labeling on Phagocytosis Measurements in Confrontation Assays
Zoltan Cseresnyes, Mohamed I. Abdelwahab Hassan, Hans-Martin Dahse, Kerstin Voigt and Marc Thilo Figge
Phagocytosis is series of steps where the pathogens and the immune cells interact during an invasion. This starts with the adhesion process between the host and pathogen cells, and is followed by the engulfment of the pathogens. Many analytical methods that are applied to characterize phagocytosis based on imaging the host–pathogen confrontation assays rely on […]
Hessian-based quantitative image analysis of host-pathogen confrontation assays
Zoltan Cseresnyes, Kaswara Kraibooj, Marc Thilo Figge
Host-fungus interactions have gained a lot of interest in the past few decades, mainly due to an increasing number of fungal infections that are often associated with a high mortality rate in the absence of effective therapies. These interactions can be studied at the genetic level or at the functional level via imaging. Here, we […]
Bottom-up modeling approach for the quantitative estimation of parameters in pathogen-host interactions
Teresa Lehnert, Sandra Timme, Johannes Pollmächer, Kerstin Hünniger, Oliver Kurzai, Marc Thilo Figge
Opportunistic fungal pathogens can cause bloodstream infection and severe sepsis upon entering the blood stream of the host. The early immune response in human blood comprises the elimination of pathogens by antimicrobial peptides and innate immune cells, such as neutrophils or monocytes. Mathematical modeling is a predictive method to examine these complex processes and to […]