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Systems Immunology and Infection Microbiology
Provides a big data and systems-driven immunology and infection microbiology approach for researchers applying systems biology and bioinformatics in their work
Bor-Sen Chen (Author)
9780128169834, Elsevier Science
Paperback, published 26 March 2021
672 pages, Approx. 100 illustrations (100 in full color)
23.5 x 19 x 4.1 cm, 1.29 kg
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.
1. Introduction to Systems Immunology and Infection Microbiology Part I: Systems Immunology2. Biological Network Modeling and System Identification in Systems Immunology3. Systems Biology Approach to Construct the Gene Regulatory Network of Systemic Inflammation via Microarray and Database Mining4. Dynamic Cross-talks Analysis among Signaling Transduction Pathways in Inflammatory Responses Part II: Systems Infection Microbiology5. Prediction of Infection-Associated Genes via a Cellular Network Approach: A C. Albican Infection Case Study6. Global Screening of Potential C. Albican Biofilm-Related Transcription Factors (TFs) by Network Comparison via Big Database Mining and Microarray Data7. Identification of Infection-Related and Defense-Related Genes through A Dynamic Host-Pathogen Interaction Network via A C. Albicans-Zebrafish Infection Model8. Host-Pathogen Interaction Network through Dynamic Interspecies Interaction Model and Big Database Mining9. 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 Process10. The Role of Inflammation and Immune Response in Corebella Wound Healing Mechanism After Traumatic Injury in Zebrafish11. 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 Process12. Cross-Talk Network Biomarkers of Pathogen-Host Interaction Network from Innate to Adaptive Immunity13. A Systems Biology Approach to the Coordination of Defensive and O?ensive Molecular Mechanisms in the Innate and Adaptive Host-pathogen Interaction Network14. Role of Signaling Pathways in Innate and Adaptive Immunity Part V: Systematic Genetic and Epigenetic pathogenic/ Defensive Mechanism During Bacterial Infection on Human cells15. Genetic-and-epigenetic Interspecies Networks for Cross-talk Mechanisms in Human Macrophages and Dendritic Cells during MTB Infection16. 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 Identification17. 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 Cells18. 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 Identification19. 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
Subject Areas: Biotechnology [TCB]
