Immunogenomics and human disease /

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Bibliographic Details
Imprint:Chichester, West Sussex, England ; Hoboken, NJ : John Wiley, c2006.
Description:xxi, 526 p. : ill. (some col.) ; 26 cm.
Language:English
Subject:
Format: E-Resource Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/5898027
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Other authors / contributors:Falus, András.
ISBN:0470015306 (HB : alk. paper)
Notes:Includes bibliographical references and index.
Table of Contents:
  • Preface
  • List of Contributors
  • 1. Genotyping methods and disease gene identification
  • 1.1. Introduction
  • 1.2. Genotyping of single-nucleotide polymorphisms
  • 1.3. Methods for interrogating SNPs
  • 1.4. Analysis formats
  • 1.5. The current generation of methods for SNP genotyping
  • 1.6. The next generation
  • 1.7. Classical HLA typing
  • 1.8. MHC haplotypes
  • 1.9. Molecular haplotyping
  • 1.10. Microhaplotyping
  • 1.11. MHC and disease associations
  • 1.12. Conclusions
  • Acknowledgements
  • References
  • 2. Glycomics and the sugar code: primer to their structural basis and functionality
  • 2.1. Introduction
  • 2.2. Lectins as effectors in functional glycomics
  • 2.3. Galectins: structural principles and intrafamily diversity
  • 2.4. Ligand-dependent levels of affinity regulation
  • 2.5. Perspectives for galectin-dependent medical applications
  • 2.6. Conclusions
  • References
  • 3. Proteomics in clinical research: perspectives and expectations
  • 3.1. Introduction
  • 3.2. Proteomics: tools and projects
  • 3.3. Discussion
  • 3.4. Concluding remarks
  • Acknowledgements
  • References
  • 4. Chemical genomics: bridging the gap between novel targets and small molecule drug candidates. Contribution to immunology
  • 4.1. Introduction of chemical genomics: definitions
  • 4.2. Chemical microarrays
  • 4.3. Small molecule and peptide probes for studying binding interactions through creating a covalent bond
  • 4.4. Photochemical proteomics
  • 4.5. General aspects of photoaffinity labelling
  • 4.6. Photoreactive probes of biomolecules
  • 4.7. Application to the immunobiology of living cells
  • 4.8. Multifunctional photoprobes for rapid analysis and screening
  • 4.9. Advanced application to functional proteomics
  • 4.10. Summary
  • References
  • 5. Genomic and proteomic analysis of activated human monocytes
  • 5.1. Primary human monocytes, as a model system
  • 5.2. Transcriptional profiling of activated monocytes
  • 5.3. Functional genomics
  • 5.4. Proteomic analysis of activated human monocytes
  • 6. Bioinformatics as a problem of knowledge representation: applications to some aspects of immunoregulation
  • 6.1. Introduction
  • 6.2. Sequences and languages
  • 6.3. Three-dimensional models
  • 6.4. Genomes, proteomes, networks
  • 6.5. Computational tools
  • 6.6. Information processing in the immune system
  • 6.7. Concluding remarks
  • References
  • 7. Immune responsiveness of human tumours
  • 7.1. Introduction
  • 7.2. Defining tumour immune responsiveness
  • 7.3. Studying immune responsiveness in human tumours
  • 7.4. Immune responsiveness in the context of therapy
  • 7.5. The spatial dimension in the quest for the target
  • 7.6. Studying the receiving end - tumour as an elusive target for immune recognition
  • 7.7. The role of the host in determining immune responsiveness
  • 7.8. Concluding remarks
  • References
  • 8. Chemokines regulate leukocyte trafficking and organ-specific metastasis
  • 8.1. Chemokines and chemokine receptors
  • 8.2. Chemokine receptors in the organ-specific recruitment of tumour cells
  • 8.3. Cancer therapy using chemokine receptor inhibitors
  • 8.4. Conclusions
  • References
  • 9. Towards a unified approach to new target discovery in breast cancer: combining the power of genomics, proteomics and immunology
  • 9.1. Introduction
  • 9.2. The use of CGH and DNA microarray-based transcriptional profiling for new target discovery in breast cancer
  • 9.3. The challenge of new tumour marker/target validation: traditional techniques meet new proteomics tools
  • 9.4. Immunological validation of new target genes in breast cancer the emerging concept of the cancer 'immunome'
  • 9.5. Future prospects: combining target discovery approaches in unified publicly accessible databases
  • References
  • 10. Genomics and functional differences of dendritic cell subsets
  • 10.1. Introduction
  • 10.2. Origin, differentiation and function of human dendritic cell subsets
  • 10.3. Tissue localization of dendritic cell subsets
  • 10.4. Antigen uptake by dentritic cells
  • 10.5. Antigen processing and presentation by dendritic cells
  • 10.6. Activation and polarization of dendritic cells
  • 10.7. Enhancement of inflammatory responses by NK cells
  • 10.8. Suppression of inflammatory responses by natural regulatory T cells
  • 10.9. The role of dendritic cells and T-lymphocytes in tumour-specific immune responses
  • References
  • 11. Systemic lupus erythematosus: new ideas for diagnosis and treatment
  • 11.1. Introduction
  • 11.2. Strategies for identifying diagnostic markers
  • 11.3. Strategies for gene therapy for SLE
  • 11.4. Conclusion and future direction
  • References
  • 12. Immunogenetics of experimentally induced arthritis
  • 12.1. Rheumatoid arthritis in humans and murine proteoglycan-induced arthritis: introduction
  • 12.2. Genetic linkage analysis of PGIA
  • 12.3. Transcriptome picture of the disease: gene expression during the initiation and progression of joint inflammation
  • 12.4. Conclusions
  • References
  • 13. Synovial activation in rheumatoid arthiritis
  • 13.1. Introduction
  • 13.2. Synovial activation in rheumatoid arthritis
  • 13.3. Conclusions/perspectives
  • References
  • 14. T cell epitope hierarchy in experimental autoimmune models
  • 14.1. Introduction
  • 14.2. Immunodominance and crypticity
  • 14.3. Epitope spreading (endogenous self-priming)
  • 14.4. Degenerate T cell epitope recognition
  • 14.5. The self-reactive TCR repertoire
  • 14.6. Thymic antigen presentation
  • 14.7. Peripheral antigen presentation
  • 14.8. Epitope hierarchy in experimental autoimmune encephalomyelitis
  • 14.9. Epitope hierarchy in aggrecan-induced murine arthritis
  • 14.10. Summary
  • References
  • 15. Gene-gene interaction in immunology as exemplified by studies on autoantibodies against 60 kDa heat-shock protein
  • 15.1. Introduction
  • 15.2. Basic features of gene-gene interactions
  • 15.3. How to detect epistasis
  • 15.4. Autoimmunity to heat-shock proteins
  • 15.5. Epistatic effect in the regulation of anti-HSP6 autoantibody levels
  • 15.6. Conclusions
  • Appendix
  • References
  • 16. Histamine genomics and metabolomics
  • 16.1. Introduction
  • 16.2. Chemistry
  • 16.3. Biosynthesis and biotransformation
  • 16.4. Histidine decarboxylase - gene and protein
  • 16.5. Catabolic pathways of histamine
  • 16.6. Histamine receptors
  • 16.7. Histamine and cytokines, relation to the T cell polarization of the immune response
  • 16.8. Histamine and tumour growth
  • 16.9. Histamine research: an insight into metabolomics, lessons from HDC-deficient mice
  • 16.10. Histamine genomics on databases
  • References
  • 17. The histamine H[subscript 4] receptor: drug discovery in the post-genomic era
  • 17.1. Introduction
  • 17.2. Cloning of H[subscript 3]R and H[superscript 4]R
  • 17.3. Generation of H[subscript 4]R-specific antagonists
  • 17.4. High-throughput screening
  • 17.5. Functional sludies
  • 17.6. Future prospects
  • References
  • 18. Application of microarray technology to bronchial asthma
  • 18.1. Introduction
  • 18.2. Lung tissue as 'source'
  • 18.3. Particular cell as 'source'
  • 18.4. Conclusions
  • Acknowledgements
  • References
  • 19. Genomic investigation of asthma in human and animal models
  • 19.1. Introduction
  • 19.2. Methods for localization of asthma susceptibility genes
  • 19.3. Results of the association studies and genome-wide screens in humans
  • 19.4. Animal models of asthma
  • 19.5. Concluding remarks
  • References
  • 20. Primary immunodeficiencies: genotype-phenotype correlations
  • 20.1. Introduction
  • 20.2. Immunodeficiency data services
  • 20.3. Genotype-phenotype correlations
  • 20.4. ADA deficiency
  • 20.5. RAG1 and RAG2 deficiency
  • 20.6. AID deficiency
  • 20.7. WAS
  • 20.8. XLA
  • 20.9. Why GP correlations are not more common
  • References
  • 21. Transcriptional profiling of dentritic cells in response to pathogens
  • 21.1. Transcriptional profiling to study the complexity of the immune system
  • 21.2. DC subsets and functional studies
  • 21.3. DC at the intersection between innate and adaptive immunity
  • 21.4. DC and infectious diseases
  • 21.5. DC and bacteria interaction
  • 21.6. DC and virus interaction
  • 21.7. DC and parasite interaction
  • 21.8. Leishmania mexicana molecular signature
  • 21.9. Conclusions
  • References
  • 22. Parallel biology: a systematic approach to drug target and biomarker discovery in chronic obstructive pulmonary disease
  • 22.1. Introduction
  • 22.2. Genome research is a specific application of parallel biology often regarded as systems biology
  • 22.3. Chronic obstructive pulmonary disease
  • 22.4. Goals of the study
  • 22.5. Methods
  • 22.6. Results
  • Appendix
  • References
  • 23. Mycobacterial granulomas: a genomic approach
  • 23.1. Introduction
  • 23.2. Initial infection of macrophage
  • 23.3. Mycobacterial gene expression in the host
  • 23.4. Host genes important to granuloma formation
  • 23.5. Granulomatous inflammation as an ecological system
  • References
  • Index