Clinical Applications of Immunomics (Immunomics Reviews:, 2)

Innate immunity is one the most evolutionally conserved systems, designed to protect the organism from viruses and bacterial infections, stress and many other types of attacks from the outside world. During the past decade, the capacity of molecular biology and information technology to produce and analyse data have grown exponentially, rapidly reforming many aspects of immunology research in the post-genomics era. As a result, scientific understanding of signalling networks governing the innate immunity response in human tissues and other organisms has evolved beyond recognition, compared to even just a decade ago. Many strategies have been designed over the years to identify novel proteins, which have a crucial role in innate immunity responses by regulating particular signalling pathways. These projects had many advantages, including the definition of novel drug targets, as exemplified by the recent success of anti-TNF therapy, as well as leading to a better, system-wide understanding of the molecular control of innate immunity. In the past few years, a new concept, Immunomics, has been adopted to define an emerging, multidisciplinary field of research (Schonbach, 2003). Although rapid progress has been made to identify the proteins playing pivotal roles in the innate immunity–related signalling pathways (for example, TIR signalling pathways), the catalogue of proteins with a key regulatory function identified and studied is far from completed. Novel proteins need to be char- terised to gain a more comprehensive picture of how signalling networks are regulated.

Immunomics Reviews

An Official Publication of the International Immunomics Society

Series Editors: Vladimir Brusic, Dana-Farber Cancer Institute, Boston, Massachusetts

Andras Falus, Semmelweis University, Budapest, Hungary

Editorial Board: Anne S. De Groot, Brown University, Providence, Rhode Island

Darren Flower, Edward Jenner Institute for Vaccine Research, Berkshire, UK

Christian Schonbach, Nanyang Technological University, Singapore

Shoba Ranganathan, Macquarie University, Australia

Marie-Paule Lefranc Universite Montpellier II, Montpellier, France

This peer-reviewed book series offers insight on immunology for 21^st century. The technological revolution has borne advances in high-throughput instrumentation and information technology, initiating a renaissance for biomathematics, and biostatistics. Cross-fertilization between genomics and immunology has led to a new field called immunomics, transforming the way in which theoretical, clinical and applied immunology are practiced. Immunomics Reviews will cover integrative approaches and applications to the theory and practice of immunology and explore synergistic effects resulting from a combination of technological advances and the latest analytical tools with the traditional fields of basic and clinical immunology.

Volume 2:

Clinical Applications of Immunomics

Edited by Andras Falus

Rapid improvement in accessibility to molecular databases as well as availability of high throughput genomic, proteomic, and other ‘omics’ methodologies are forcing a considerable shift in research and development strategies for biomedicine. Systems biology, a systematic study of complex interactions in biological systems, is currently closely related to the development and application of bioinformatics and biostatistics tools to genomic and proteomic data in clinical immunology, as well.

Systemsimmunology translates achievements of immunological research to medically relevant applications such as diagnosis, prevention, and therapy. Clinical immunomics covers a broad range of diseases and this volume brings together a work representing a spectrum of immunomic applications to showcase key technologies that will shape clinical immunology in the near future. The chapters show examples of immunomics approaches to cancer, autoimmunity, allergy, and primary immunodeficiencies. Key concepts of this volume deal with various combinations of bioinformatics and biostatistics, instrumentation, molecular biology, animal models, and clinical samples for the advancement of clinical immunology.