Complex Systems Immunology
Understanding Humoral Immunity Through Statistical Thermodynamics
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Beschreibung
Adaptive immunity is one of the most complex biological functions, characterized by vast cellular diversity, unique mechanisms of genetic recombination, and highly dynamic molecular interactions. This book brings together concepts from immunology, systems biology, chemical thermodynamics, and network science to develop a quantitative framework for understanding humoral immunity.
The book examines B-cell development, affinity maturation, antibody repertoires, antigen regulation, and immune memory through the lens of thermodynamic state spaces, energy landscapes, and interaction networks. By integrating molecular, cellular, and systems-level perspectives, it explores how collective antibody–antigen interactions give rise to the emergent properties of the adaptive immune system.
The theoretical framework is complemented by practical applications in quantitative immunology, including approaches to antibody measurement, quantitative serology, and the interpretation of serum antibody binding data using thermodynamic models and dual-titration immunoassays. These examples illustrate how systems-level analysis can support the quantitative characterization of immune responses and immunodiagnostic research.
Bridging theory and application, this monograph is intended for researchers, graduate students, and advanced practitioners in immunology, systems biology, biophysics, computational biology, quantitative medicine, and related disciplines. It offers an interdisciplinary perspective on adaptive immunity and provides a conceptual framework for exploring immune regulation, antibody networks, and quantitative approaches to humoral immune responses.
Adaptive immunity is one of the most complex biological functions, characterized by vast cellular diversity, unique mechanisms of genetic recombination, and highly dynamic molecular interactions. This book brings together concepts from immunology, systems biology, chemical thermodynamics, and network science to develop a quantitative framework for understanding humoral immunity.
The book examines B-cell development, affinity maturation, antibody repertoires, antigen regulation, and immune memory through the lens of thermodynamic state spaces, energy landscapes, and interaction networks. By integrating molecular, cellular, and systems-level perspectives, it explores how collective antibody–antigen interactions give rise to the emergent properties of the adaptive immune system.
The theoretical framework is complemented by practical applications in quantitative immunology, including approaches to antibody measurement, quantitative serology, and the interpretation of serum antibody binding data using thermodynamic models and dual-titration immunoassays. These examples illustrate how systems-level analysis can support the quantitative characterization of immune responses and immunodiagnostic research.
Bridging theory and application, this monograph is intended for researchers, graduate students, and advanced practitioners in immunology, systems biology, biophysics, computational biology, quantitative medicine, and related disciplines. It offers an interdisciplinary perspective on adaptive immunity and provides a conceptual framework for exploring immune regulation, antibody networks, and quantitative approaches to humoral immune responses.
Integrates thermodynamics and network science to explain humoral immunity Explains antibody networks through quantitative models of immune adaptation Provides a framework for quantitative immunology and antibody serology
Autor*in
József Prechl
Themen in »Complex Systems Immunology«
Systems immunology Systems Biology Humoral Immunity Thermodynamics Antibody Networks Physics for immunologists Biological self-organization Antigen binding molecules Antibody–Antigen Interactions Immunological Memory Quantitative Immunology B-Cell Biology Chemical Thermodynamics Thermodynamic State Space Immunodiagnostics