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The rapid development of new methods for immunological data collection – from multicolor flow cytometry, through single-cell imaging, to deep sequencing – presents us now, for the first time, with the ability to analyze and compare large amounts of immunological data in health, aging and disease. The exponential growth of these datasets, however, challenges the theoretical immunology community to develop methods for data organization and analysis. Furthermore, the need to test hypotheses regarding immune function, and generate predictions regarding the outcomes of medical interventions, necessitates the development of mathematical and computational models covering processes on multiple scales, from the genetic and molecular to the cellular and system scales. The last few decades have seen the development of methods for presentation and analysis of clonal repertoires (those of T and B lymphocytes) and phenotypic (surface-marker based) repertoires of all lymphocyte types, and for modeling the intricate network of molecular and cellular interactions within the immune systems. This e-Book, which has first appeared as a ‘Frontiers in Immunology’ research topic, provides a comprehensive, online, open access snapshot of the current state of the art on immune system modeling and analysis.
these analyses it became clear that the MHC class I molecule com prised a distinct groove on the external side of the molecule. The sides of the groove are formed by the a-helical structures of the a and a 1 2 domains and a floor which is formed by 8 anti-parallel 13 strands. The various polymorphic residues, as determined from DNA sequence analysis, are localized within these a-helices and 13-plated sheets within the groove. More importantly, these analyses also revealed the presence of elec tron-dense material in the groove. This material was subsequently iden 568 10 tified as a linear peptide of 8-10 amino acids long. • •- High resolu tion crystallographic analyses of the class I MHC structure have revealed the existence of so-called pockets within the grooves of the MHC class I molecules. These pockets designated A-F, exhibited allele-specificity and are directly involved in the binding of the peptide, primarily through interaction with the dominant anchor residues as found in MHC class I associated pep tides. 6,7,9,11 The class II MHC antigens consist on the cell surface of a 34 kD a chain non-covalently associated with a 28 kD 13 chain. With the excep tion of the DR a-chain, all other MHC class II a and 13 chains are poly morphic.
The Janeway's Immunobiology CD-ROM, Immunobiology Interactive, is included with each book, and can be purchased separately. It contains animations and videos with voiceover narration, as well as the figures from the text for presentation purposes.
An award-winning science writer introduces us to mathematics using the extraordinary equation that unites five of mathematics' most important numbers Bertrand Russell wrote that mathematics can exalt "as surely as poetry." This is especially true of one equation: ei(pi) + 1 = 0, the brainchild of Leonhard Euler, the Mozart of mathematics. More than two centuries after Euler's death, it is still regarded as a conceptual diamond of unsurpassed beauty. Called Euler's identity or God's equation, it includes just five numbers but represents an astonishing revelation of hidden connections. It ties together everything from basic arithmetic to compound interest, the circumference of a circle, trigonometry, calculus, and even infinity. In David Stipp's hands, Euler's identity formula becomes a contemplative stroll through the glories of mathematics. The result is an ode to this magical field.
As a generalization of simple correspondence analysis, multiple correspondence analysis (MCA) is a powerful technique for handling larger, more complex datasets, including the high-dimensional categorical data often encountered in the social sciences, marketing, health economics, and biomedical research. Until now, however, the literature on the su
​This volume provides simple and accessible experiment protocols to explore thymus biology. T-Cell Development: Methods and Protocols is divided into three parts presenting short reviews on T cell development, analysis strategies, protocols for cell preparation, flow cytometry analyses, and multiple aspects of thymocyte biology. As a volume in the highly successful Methods in Molecular Biology series, chapters contain introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and tips on troubleshooting and avoiding known pitfalls. Concise and easy-to-use, T-Cell Development: Methods and Protocols aims to ensure successful results in the further study of this vital field.
Proceedings of the 25th Conference on Transplantation and Clinical Immunology 24--26 May 1993
The thymus is a gland that over the last two centuries has generated great awareness not only from the anatomical perspective but also for the physiological and pat- logical roles it plays in many disease processes. Prior to the early studies on its th anatomy and physiology in the 18 century, the thymus was believed to perform - usual and curious functions such as purification of the nervous system, providing a protective cushion for the vasculature of the superior mediastinum, fetal nouri- ment, or more spiritual roles such as being the seat of the soul, among others. D- th ing the 19 century important anatomical/physiological studies took place focusing on the role of the thymus in pathological conditions. However, it was not until the th middle of the 19 century that a more comprehensive analysis of the role of the thymic gland and its role in pathogenesis began to emerge. Currently, while the knowledge gained on the diverse aspects of the thymic gland has furthered our understanding of its role in a gamut of processes, more knowledge is still being sought, and by no means is a full understanding of the gland’s physi- ogy and pathology complete. Different aspects, including its purported endocrine function, its association with other autoimmune diseases like multiple sclerosis, rheumatoid arthritis, and lupus erythematosus, among others, are under evaluation and research.
Mathematical, statistical, and computational methods enable multi-disciplinary approaches that catalyse discovery. Together with experimental methods, they identify key hypotheses, define measurable observables and reconcile disparate results. This volume collects a representative sample of studies in T cell immunology that illustrate the benefits of modelling-experimental collaborations and which have proven valuable or even ground-breaking. Studies include thymic selection, T cell repertoire diversity, T cell homeostasis in health and disease, T cell-mediated immune responses, T cell memory, T cell signalling and analysis of flow cytometry data sets. Contributing authors are leading scientists in the area of experimental, computational, and mathematical immunology. Each chapter includes state-of-the-art and pedagogical content, making this book accessible to readers with limited experience in T cell immunology and/or mathematical and computational modelling.