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Systems Immunology and Infection Microbiology provides a large amount of biological system models, diagrams and flowcharts to illustrate development procedures and help users understand the results of systems immunology and infection microbiology. Chapters discuss systems immunology, systems infection microbiology, systematic inflammation and immune responses in restoration and regeneration process, systems' innate and adaptive immunity in infection process, systematic genetic and epigenetic pathogenic/defensive mechanism during bacterial infection on human cells is introduced, and the systematic genetic and epigenetic pathogenic/defensive mechanisms during viral infection on human cells.
This book provides new big data-driven and systems-driven systems immunology and infection microbiology to researchers applying systems biology and bioinformatics in their work. It is also invaluable to several members of biomedical field who are interested in learning more about those approaches.
- Encompasses one applicable example in every chapter to illustrate the solution procedure from big data mining, network modeling, host/pathogen cross-talk detection, drug target identification and systems drug design
- Presents flowcharts to represent the development procedure of systematic immunology and infection in a very clear format
- Contains 100 color diagrams to help readers understand the related biological networks, their corresponding mechanisms, and significant network biomarkers for therapeutic drug design
Graduate students; researchers on systems biology, bioinformatics, immunology and microbiology
1. Introduction to Systems Immunology and Infection Microbiology
Part I: Systems Immunology
2. Biological Network Modeling and System Identification in Systems Immunology
3. Systems Biology Approach to Construct the Gene Regulatory Network of Systemic Inflammation via Microarray and Database Mining
4. Dynamic Cross-talks Analysis among Signaling Transduction Pathways in Inflammatory Responses
Part II: Systems Infection Microbiology
5. Prediction of Infection-Associated Genes via a Cellular Network Approach: A C. Albican Infection Case Study
6. Global Screening of Potential C. Albican Biofilm-Related Transcription Factors (TFs) by Network Comparison via Big Database Mining and Microarray Data
7. Identification of Infection-Related and Defense-Related Genes through A Dynamic Host-Pathogen Interaction Network via A C. Albicans-Zebrafish Infection Model
8. Host-Pathogen Interaction Network through Dynamic Interspecies Interaction Model and Big Database Mining
9. Essential Functional Modules for Pathogenic and Defensive Mechanisms via Host / Pathogen Crosstalk Network Database Mining and Microarray Data
Part III: Systematic Inflammation and Immune Response in Restoration and Regeneration Process
10. The Role of Inflammation and Immune Response in Corebella Wound Healing Mechanism After Traumatic Injury in Zebrafish
11. Key Immune Events of the Pathomechanisms of Early Cardioembolic Stroke: Multi-Database Mining and Systems Biology Approach
Part IV: Systems Innate and Adaptive Immunity in the Infection Process
12. Cross-Talk Network Biomarkers of Pathogen-Host Interaction Network from Innate to Adaptive Immunity
13. A Systems Biology Approach to the Coordination of Defensive and Oﬀensive Molecular Mechanisms in the Innate and Adaptive Host-pathogen Interaction Network
14. Role of Signaling Pathways in Innate and Adaptive Immunity
Part V: Systematic Genetic and Epigenetic pathogenic/ Defensive Mechanism During Bacterial Infection on Human cells
15. Genetic-and-epigenetic Interspecies Networks for Cross-talk Mechanisms in Human Macrophages and Dendritic Cells during MTB Infection
16. Investigating the Progression of Cross-talk Mechanism in Caco-2 Cells during Clostridium difficile Infection by Constructing Genetic and Epigenetic Interspecies Networks: Big Data Mining and Genome-wide Identification
17. Investigating the Common Pathogenic Mechanism for Drug Design between Different Strains of Candidate Albicans Infection by Comparing their Genetic and Epigenetic Interspecies Networks: Big Data Mining and Computational Systems biology Approach
Part VI: Systematic Genetic and Epigenetic pathogen/ Defensive Mechanism During viral Infection on Human Cells
18. Constructing the Genome-wide Genetic and Epigenetic Interspecies Networks and Investigating Molecular Mechanisms for Host B Lymphocytes Infected with Epstein-Barr Virus via Big Data Mining and Genome-wide Identification
19. Investigating Host/Pathogen Cross-talk Network Marker to Reveal Pathogenic and Defensive molecular Mechanism for Drug Design in HIV Infection Process via Systems Biology Method and Big Data Mining
- No. of pages:
- © Academic Press 2021
- 16th March 2021
- Academic Press
- eBook ISBN:
- Paperback ISBN:
Bor-Sen Chen received B.S. degree of electrical Engineering from Tatung Institute of Technology in 1970, M.S. degree of Geophysics from National Central University in 1973, and PhD in Electrical Engineering from University of Southern California in 1982. He is an expert on the topic of nonlinear robust control and filter designs based on stochastic Nash game theory to override the influence of intrinsic random fluctuations and attenuate the effect of environmental disturbances, which can be applied to evolutionary game strategies of biological networks under natural selection to respond to random genetic variations and environmental disturbances in the evolutionary process. Prof. Chen had audited more than 10 courses of biology before his research in systems biology. He has published about 100 papers in bioinformatics and systems biology. Further, he have published more than 100 papers in system theory and control, and more than 80 papers of signal processing and communication. In the last three years, he has also published 7 monographs. He was elected to an IEEE Fellow in 2001 and became an IEEE Life Fellow in 2014.
Tsing Hua Distinguished Chair Professor, Department of Electrical Engineering, National Tsing Hua University, Taiwan
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