Systems Biology

This book emphasizes the inter-disciplinary and holistic nature of systems biology, showing how understanding can be reached through the acquisition of massive amounts of data by high-throughput technologies, and data analysis using sophisticated algorithms.

First, systems biology is an inter-disciplinary approach, requiring the combined talents of biologists, mathematicians, and computer scientists. Second, systems biology is holistic, with the goal of obtaining a comprehensive understanding of the workings of biological systems. This is achieved through the acquisition of massive amounts of data by high-throughput technologiesoligonucleotide microarrays, mass spectrometry, and next-generation sequencingand the analysis of this data through sophisticated mathematical algorithms. It is perhaps the use of mathematics, to integrate abundant and diverse types of data and to generate models of interconnected molecular networks, that best characterizes systems biology.

This volume will be of great interest to investigators already engaged in systems biology research as well as to those scientists and clinicians who may be seeking an introduction to the field. By assembling a diverse spectrum of perspectives and expertise, it is hoped that the information provided will serve as a catalyst for additional innovative approaches. Written by leading experts in this interdisciplinary approach combining talents of biologists, mathematicians and computer scientists. Includes supplementary material: sn.pub/extras

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In this volume, a wide-ranging series of reviews reveal how systems biologya holistic and inter-disciplinary approach requiring the combined talents of biologists, mathematicians, and computer scientistsis changing the face of infectious disease research. Leading experts discuss how the use of high-throughput and computational approaches are generating excitingand often unexpectednew insights into the microbial-host interactions of a variety of bacterial and viral pathogens, including Salmonella, Yersinia, Mycobacterium, influenza virus, human and simian immunodeficiency virus, and hepatitis C virus. Additional chapters focus on systems approaches to innate immunity, intra- and inter-cellular signaling, biomarker discovery, and the evaluation and rational development of improved vaccines. Systems biology has both been hailed as a paradigm shift that will revolutionize biological science and criticized as overly expensive and complex. While the truth no doubt lies somewhere in between, the approach is yielding increasingly detailed and comprehensive views of biological systems and processes, including those that dictate the host response to infection and disease outcome. Systems Biology of Infectious Disease is highly informative reading for investigators already engaged in systems biology research as well as for those scientists and clinicians who may be seeking an introduction to the field.

Contenu
Introduction.- Editorial.- System approaches to dissecting Immunity.- Integrative omics and modeling of pathogenic Samonellae and Yersiniae.- The role and contribution of system biology to the non-human primate model of influenza pathogenesis and vaccinology.- Host-pathogen genome politics and policies.- The TB regulatory network.- Proteomic network understanding of immune cell signaling and cell-cell communication via data-driven modeling.- Systems vaccinology.- Correlates of vaccine and natural mediated immune protection in HIV infection.- System biology approach for new target and biomarker identification.- Subject index.