Systems Immunology and Infection Microbiology

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. Les mer
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Paperback
Legg i
Vår pris: 2616,-

(Paperback) Fri frakt!
Leveringstid: Sendes innen 21 dager

Om boka

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.

Fakta

Innholdsfortegnelse

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 O?ensive 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

Om forfatteren

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.