What is it about?
The adaptive immune system generates a vast diversity of recognition molecules, antibodies, and continuously fine-tunes and selects these in order to control the abundance of target molecules in an organism. Here we present a model, which categorizes B cells in three groups, based on their ability to express antibodies on their surface or to secrete them: sensors, sensor-effectors and effectors. We also introduce a theoretical space of interactions, in which these categories of B cells occupy positions defined by their targets and their interaction strength with the target. Finally, we demonstrate a novel form of the generalized logistic function, which is suitable for fitting immunoassay data and compatible with the above theoretical space model. We suggest that this improved function and model be used for immunoassay data fitting.
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Why is it important?
Current immunoassays for the measurement of serum antibody reactivity are not quantitative in the real biochemical sense. True standardization requires new methods and theoretical approach as well.
Perspectives
The presented physical model and mathematical form of the logistic function should help raise serology to the quantitative systems biology level.
József Prechl
Diagnosticum
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This page is a summary of: The Binding Landscape of Serum Antibodies: How Physical and Mathematical Concepts Can Advance Systems Immunology, Antibodies, June 2022, MDPI AG,
DOI: 10.3390/antib11030043.
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