Understanding the immune system requires a comprehensive description of its parts (protein factors, receptors, cell types, tissues, and organs) and the quantitative modeling of their complex interactions and interrelationships in time and space. Besides being fundamental to a basic understanding of the immune system, quantitative modeling also plays a crucial role in developing therapies and designing and analyzing the results of clinical studies.
This Research topic aims to sample the state-of-the-art methods and tools for building a quantitative description of the immune system and show how they work in practice, starting with functional approaches like PK/PD models toward assembling complete molecular and cellular networks by systems immunology. A second goal of this research topic is to seek connections between systems immunology and pharmacology and immunotherapy.
We welcome submissions which include but are not limited to:
• Types of manuscripts: all types allowed by Frontiers in Immunology, including Case Report, Clinical Trial, General Commentary, Hypothesis & Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Review, Systematic Review, Technology and Code.
• Reviews/research on concepts of systems immunology, including innate and adaptive branches and their connection.
• Mathematical or computational models of the immune system and subsets thereof, including PK/PD, semi-mechanistic, mechanistic, and quantitative systems pharmacology (QSP) models
• Clinical work describing or examining research results based on cohorts of healthy individuals or patients, method standardization, and instrumentation for systems immunology in areas such as biomarker discovery/validation, molecular/cellular immune and disease mechanisms.
• Experimental work that describes or examines the immune system and subsets thereof from the systems perspective: including but not limited to omics techniques, flow cytometry, RNA-seq, DNA sequencing, etc.
Understanding the immune system requires a comprehensive description of its parts (protein factors, receptors, cell types, tissues, and organs) and the quantitative modeling of their complex interactions and interrelationships in time and space. Besides being fundamental to a basic understanding of the immune system, quantitative modeling also plays a crucial role in developing therapies and designing and analyzing the results of clinical studies.
This Research topic aims to sample the state-of-the-art methods and tools for building a quantitative description of the immune system and show how they work in practice, starting with functional approaches like PK/PD models toward assembling complete molecular and cellular networks by systems immunology. A second goal of this research topic is to seek connections between systems immunology and pharmacology and immunotherapy.
We welcome submissions which include but are not limited to:
• Types of manuscripts: all types allowed by Frontiers in Immunology, including Case Report, Clinical Trial, General Commentary, Hypothesis & Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Review, Systematic Review, Technology and Code.
• Reviews/research on concepts of systems immunology, including innate and adaptive branches and their connection.
• Mathematical or computational models of the immune system and subsets thereof, including PK/PD, semi-mechanistic, mechanistic, and quantitative systems pharmacology (QSP) models
• Clinical work describing or examining research results based on cohorts of healthy individuals or patients, method standardization, and instrumentation for systems immunology in areas such as biomarker discovery/validation, molecular/cellular immune and disease mechanisms.
• Experimental work that describes or examines the immune system and subsets thereof from the systems perspective: including but not limited to omics techniques, flow cytometry, RNA-seq, DNA sequencing, etc.