Mathematical Computational And Experimental T Cell Immunology

Download Mathematical Computational And Experimental T Cell Immunology full books in PDF, epub, and Kindle. Read online Mathematical Computational And Experimental T Cell Immunology ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Mathematical, Computational and Experimental T Cell Immunology

Author : Carmen Molina-París
Publisher : Springer Nature
ISBN 13 : 3030572048
Total Pages : 300 pages
Book Rating : 4.0/5 (35 download)

DOWNLOAD NOW!

Book Synopsis Mathematical, Computational and Experimental T Cell Immunology by : Carmen Molina-París

Download or read book Mathematical, Computational and Experimental T Cell Immunology written by Carmen Molina-París and published by Springer Nature. This book was released on 2021-01-04 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Killer Cell Dynamics

Author : Dominik Wodarz
Publisher : Springer Science & Business Media
ISBN 13 : 0387687335
Total Pages : 226 pages
Book Rating : 4.3/5 (876 download)

DOWNLOAD NOW!

Book Synopsis Killer Cell Dynamics by : Dominik Wodarz

Download or read book Killer Cell Dynamics written by Dominik Wodarz and published by Springer Science & Business Media. This book was released on 2007-04-05 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews how mathematical and computational approaches can be useful to help us understand how killer T-cell responses work to fight viral infections. It also demonstrates, in a writing style that exemplifies the point, that such mathematical and computational approaches are most valuable when coupled with experimental work through interdisciplinary collaborations. Designed to be useful to immunoligists and viroligists without extensive computational background, the book covers a broad variety of topics, including both basic immunological questions and the application of these insights to the understanding and treatment of pathogenic human diseases.

Mathematical Models and Immune Cell Biology

Author : Carmen Molina-París
Publisher : Springer Science & Business Media
ISBN 13 : 1441977252
Total Pages : 413 pages
Book Rating : 4.4/5 (419 download)

DOWNLOAD NOW!

Book Synopsis Mathematical Models and Immune Cell Biology by : Carmen Molina-París

Download or read book Mathematical Models and Immune Cell Biology written by Carmen Molina-París and published by Springer Science & Business Media. This book was released on 2011-05-05 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whole new areas of immunological research are emerging from the analysis of experimental data, going beyond statistics and parameter estimation into what an applied mathematician would recognise as modelling of dynamical systems. Stochastic methods are increasingly important, because stochastic models are closer to the Brownian reality of the cellular and sub-cellular world.

Mathematical Immunology of Virus Infections

Author : Gennady Bocharov
Publisher : Springer
ISBN 13 : 3319723170
Total Pages : 256 pages
Book Rating : 4.3/5 (197 download)

DOWNLOAD NOW!

Book Synopsis Mathematical Immunology of Virus Infections by : Gennady Bocharov

Download or read book Mathematical Immunology of Virus Infections written by Gennady Bocharov and published by Springer. This book was released on 2018-06-12 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph concisely but thoroughly introduces the reader to the field of mathematical immunology. The book covers first basic principles of formulating a mathematical model, and an outline on data-driven parameter estimation and model selection. The authors then introduce the modeling of experimental and human infections and provide the reader with helpful exercises. The target audience primarily comprises researchers and graduate students in the field of mathematical biology who wish to be concisely introduced into mathematical immunology.

Systems Immunology

Author : Jayajit Das
Publisher : CRC Press
ISBN 13 : 1351646141
Total Pages : 405 pages
Book Rating : 4.3/5 (516 download)

DOWNLOAD NOW!

Book Synopsis Systems Immunology by : Jayajit Das

Download or read book Systems Immunology written by Jayajit Das and published by CRC Press. This book was released on 2018-09-03 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Taken together, the body of information contained in this book provides readers with a bird’s-eye view of different aspects of exciting work at the convergence of disciplines that will ultimately lead to a future where we understand how immunity is regulated, and how we can harness this knowledge toward practical ends that reduce human suffering. I commend the editors for putting this volume together." –Arup K. Chakraborty, Robert T. Haslam Professor of Chemical Engineering, and Professor of Physics, Chemistry, and Biological Engineering, Massachusetts Institute of Technology, Cambridge, USA New experimental techniques in immunology have produced large and complex data sets that require quantitative modeling for analysis. This book provides a complete overview of computational immunology, from basic concepts to mathematical modeling at the single molecule, cellular, organism, and population levels. It showcases modern mechanistic models and their use in making predictions, designing experiments, and elucidating underlying biochemical processes. It begins with an introduction to data analysis, approximations, and assumptions used in model building. Core chapters address models and methods for studying immune responses, with fundamental concepts clearly defined. Readers from immunology, quantitative biology, and applied physics will benefit from the following: Fundamental principles of computational immunology and modern quantitative methods for studying immune response at the single molecule, cellular, organism, and population levels. An overview of basic concepts in modeling and data analysis. Coverage of topics where mechanistic modeling has contributed substantially to current understanding. Discussion of genetic diversity of the immune system, cell signaling in the immune system, immune response at the cell population scale, and ecology of host-pathogen interactions.

Mathematical Modeling of the Immune System in Homeostasis, Infection and Disease

Author : Gennady Bocharov
Publisher : Frontiers Media SA
ISBN 13 : 2889634612
Total Pages : 278 pages
Book Rating : 4.8/5 (896 download)

DOWNLOAD NOW!

Book Synopsis Mathematical Modeling of the Immune System in Homeostasis, Infection and Disease by : Gennady Bocharov

Download or read book Mathematical Modeling of the Immune System in Homeostasis, Infection and Disease written by Gennady Bocharov and published by Frontiers Media SA. This book was released on 2020-02-24 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: The immune system provides the host organism with defense mechanisms against invading pathogens and tumor development and it plays an active role in tissue and organ regeneration. Deviations from the normal physiological functioning of the immune system can lead to the development of diseases with various pathologies including autoimmune diseases and cancer. Modern research in immunology is characterized by an unprecedented level of detail that has progressed towards viewing the immune system as numerous components that function together as a whole network. Currently, we are facing significant difficulties in analyzing the data being generated from high-throughput technologies for understanding immune system dynamics and functions, a problem known as the ‘curse of dimensionality’. As the mainstream research in mathematical immunology is based on low-resolution models, a fundamental question is how complex the mathematical models should be? To respond to this challenging issue, we advocate a hypothesis-driven approach to formulate and apply available mathematical modelling technologies for understanding the complexity of the immune system. Moreover, pure empirical analyses of immune system behavior and the system’s response to external perturbations can only produce a static description of the individual components of the immune system and the interactions between them. Shifting our view of the immune system from a static schematic perception to a dynamic multi-level system is a daunting task. It requires the development of appropriate mathematical methodologies for the holistic and quantitative analysis of multi-level molecular and cellular networks. Their coordinated behavior is dynamically controlled via distributed feedback and feedforward mechanisms which altogether orchestrate immune system functions. The molecular regulatory loops inherent to the immune system that mediate cellular behaviors, e.g. exhaustion, suppression, activation and tuning, can be analyzed using mathematical categories such as multi-stability, switches, ultra-sensitivity, distributed system, graph dynamics, or hierarchical control. GB is supported by the Russian Science Foundation (grant 18-11-00171). AM is also supported by grants from the Spanish Ministry of Economy, Industry and Competitiveness and FEDER grant no. SAF2016-75505-R, the “María de Maeztu” Programme for Units of Excellence in R&D (MDM-2014-0370) and the Russian Science Foundation (grant 18-11-00171).

Mathematical Methods in Immunology

Author : Jerome Kenneth Percus
Publisher : American Mathematical Soc.
ISBN 13 : 0821875566
Total Pages : 122 pages
Book Rating : 4.8/5 (218 download)

DOWNLOAD NOW!

Book Synopsis Mathematical Methods in Immunology by : Jerome Kenneth Percus

Download or read book Mathematical Methods in Immunology written by Jerome Kenneth Percus and published by American Mathematical Soc.. This book was released on 2012 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Any organism, to survive, must use a variety of defense mechanisms. A relatively recent evolutionary development is that of the adaptive immune system, carried to a quite sophisticated level by mammals. The complexity of this system calls for its encapsulation by mathematical models, and this book aims at the associated description and analysis. In the process, it introduces tools that should be in the armory of any current or aspiring applied mathematician, in the context of, arguably, the most effective system nature has devised to protect an organism from its manifold invisible enemies.

Immune system modeling and analysis

Author : Ramit Mehr
Publisher : Frontiers Media SA
ISBN 13 : 2889195015
Total Pages : 402 pages
Book Rating : 4.8/5 (891 download)

DOWNLOAD NOW!

Book Synopsis Immune system modeling and analysis by : Ramit Mehr

Download or read book Immune system modeling and analysis written by Ramit Mehr and published by Frontiers Media SA. This book was released on 2015-04-22 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Mathematical Models of Tumor-Immune System Dynamics

Author : Amina Eladdadi
Publisher : Springer
ISBN 13 : 1493917935
Total Pages : 282 pages
Book Rating : 4.4/5 (939 download)

DOWNLOAD NOW!

Book Synopsis Mathematical Models of Tumor-Immune System Dynamics by : Amina Eladdadi

Download or read book Mathematical Models of Tumor-Immune System Dynamics written by Amina Eladdadi and published by Springer. This book was released on 2014-11-06 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection of papers offers a broad synopsis of state-of-the-art mathematical methods used in modeling the interaction between tumors and the immune system. These papers were presented at the four-day workshop on Mathematical Models of Tumor-Immune System Dynamics held in Sydney, Australia from January 7th to January 10th, 2013. The workshop brought together applied mathematicians, biologists, and clinicians actively working in the field of cancer immunology to share their current research and to increase awareness of the innovative mathematical tools that are applicable to the growing field of cancer immunology. Recent progress in cancer immunology and advances in immunotherapy suggest that the immune system plays a fundamental role in host defense against tumors and could be utilized to prevent or cure cancer. Although theoretical and experimental studies of tumor-immune system dynamics have a long history, there are still many unanswered questions about the mechanisms that govern the interaction between the immune system and a growing tumor. The multidimensional nature of these complex interactions requires a cross-disciplinary approach to capture more realistic dynamics of the essential biology. The papers presented in this volume explore these issues and the results will be of interest to graduate students and researchers in a variety of fields within mathematical and biological sciences.

Mathematical Modeling and Computational Predictions in Oncoimmunology

Author : Vladimir A. Kuznetsov
Publisher : Frontiers Media SA
ISBN 13 : 2832550061
Total Pages : 121 pages
Book Rating : 4.8/5 (325 download)

DOWNLOAD NOW!

Book Synopsis Mathematical Modeling and Computational Predictions in Oncoimmunology by : Vladimir A. Kuznetsov

Download or read book Mathematical Modeling and Computational Predictions in Oncoimmunology written by Vladimir A. Kuznetsov and published by Frontiers Media SA. This book was released on 2024-06-06 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cancer is a complex adaptive dynamic system that causes both local and systemic failures in the patient. Cancer is caused by a number of gain-of-function and loss-of-function events, that lead to cells proliferating without control by the host organism over time. In cancer, the immune system modulates cancer cell population heterogeneity and plays a crucial role in disease outcomes. The immune system itself also generates multiple clones of different cell types, with some clones proliferating quickly and maturing into effector cells. By creating regulatory signals and their networks, and generating effector cells and molecules, the immune system recognizes and kills abnormal cells. Anti-cancer immune mechanisms are realized as multi-layer, nonlinear cellular and molecular interactions. A number of factors determine the outcome of immune system-tumor interactions, including cancer-associated antigens, immune cells, and host organisms.

Theoretical and Experimental Insights Into Immunology

Author : Alan S. Perelson
Publisher : Springer
ISBN 13 :
Total Pages : 512 pages
Book Rating : 4.3/5 (91 download)

DOWNLOAD NOW!

Book Synopsis Theoretical and Experimental Insights Into Immunology by : Alan S. Perelson

Download or read book Theoretical and Experimental Insights Into Immunology written by Alan S. Perelson and published by Springer. This book was released on 1992 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: Immunology is largely a science of observation and experimentation, and these approaches have lead to great increases in our knowledge of the genes, molecules and cells of the immune system. This book is an up-to-date discussion of the current state of modelling and theoretical work in immunology, of the impact of theory on experiment, and of future directions for theoretical research. Among the topics discussed are the function and evolution of the immune system, computer modelling of the humoral immune response and of idiotypic networks and idiotypic mimicry, T-cell memory, cryptic peptides, new views and models of AIDS and autoimmunity, and the shaping of the immune repertoire by early presented antigens and self immunoglobulin.

Computational Immunology

Author : Josep Bassaganya-Riera
Publisher : Academic Press
ISBN 13 : 0128037156
Total Pages : 210 pages
Book Rating : 4.1/5 (28 download)

DOWNLOAD NOW!

Book Synopsis Computational Immunology by : Josep Bassaganya-Riera

Download or read book Computational Immunology written by Josep Bassaganya-Riera and published by Academic Press. This book was released on 2015-10-21 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Immunology: Models and Tools encompasses the methodological framework and application of cutting-edge tools and techniques to study immunological processes at a systems level, along with the concept of multi-scale modeling. The book's emphasis is on selected cases studies and application of the most updated technologies in computational modeling, discussing topics such as computational modeling and its usage in immunological research, bioinformatics infrastructure, ODE based modeling, agent based modeling, and high performance computing, data analytics, and multiscale modeling. There are also modeling exercises using recent tools and models which lead the readers to a thorough comprehension and applicability. The book is a valuable resource for immunologists, computational biologists, bioinformaticians, biotechnologists, and computer scientists, as well as all those who wish to broaden their knowledge in systems modeling. Offers case studies with different levels of complexity Provides a detailed view on cutting-edge tools for modeling that are useful to experimentalists with limited computational skills Explores the usage of simulation for hypothesis generation, helping the reader to understand the most valuable points on experimental setting

Systems Immunology

Author : Jayajit Das
Publisher : CRC Press
ISBN 13 : 1498717411
Total Pages : 355 pages
Book Rating : 4.4/5 (987 download)

DOWNLOAD NOW!

Book Synopsis Systems Immunology by : Jayajit Das

Download or read book Systems Immunology written by Jayajit Das and published by CRC Press. This book was released on 2018-09-03 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Taken together, the body of information contained in this book provides readers with a bird’s-eye view of different aspects of exciting work at the convergence of disciplines that will ultimately lead to a future where we understand how immunity is regulated, and how we can harness this knowledge toward practical ends that reduce human suffering. I commend the editors for putting this volume together." –Arup K. Chakraborty, Robert T. Haslam Professor of Chemical Engineering, and Professor of Physics, Chemistry, and Biological Engineering, Massachusetts Institute of Technology, Cambridge, USA New experimental techniques in immunology have produced large and complex data sets that require quantitative modeling for analysis. This book provides a complete overview of computational immunology, from basic concepts to mathematical modeling at the single molecule, cellular, organism, and population levels. It showcases modern mechanistic models and their use in making predictions, designing experiments, and elucidating underlying biochemical processes. It begins with an introduction to data analysis, approximations, and assumptions used in model building. Core chapters address models and methods for studying immune responses, with fundamental concepts clearly defined. Readers from immunology, quantitative biology, and applied physics will benefit from the following: Fundamental principles of computational immunology and modern quantitative methods for studying immune response at the single molecule, cellular, organism, and population levels. An overview of basic concepts in modeling and data analysis. Coverage of topics where mechanistic modeling has contributed substantially to current understanding. Discussion of genetic diversity of the immune system, cell signaling in the immune system, immune response at the cell population scale, and ecology of host-pathogen interactions.

In Silico Immunology

Author : Darren D.R. Flower
Publisher : Springer Science & Business Media
ISBN 13 : 0387392416
Total Pages : 453 pages
Book Rating : 4.3/5 (873 download)

DOWNLOAD NOW!

Book Synopsis In Silico Immunology by : Darren D.R. Flower

Download or read book In Silico Immunology written by Darren D.R. Flower and published by Springer Science & Business Media. This book was released on 2007-04-16 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book outlines three emergent disciplines, which are now poised to engineer a paradigm shift from hypothesis- to data-driven research: theoretical immunology, immunoinformatics, and Artificial Immune Systems. It details how these disciplines will enable new understanding to emerge from the analysis of complex datasets. Coverage shows how these three are set to transform immunological science and the future of health care.

Experimental and Mathematical Analysis of Regulatory Networks in T-helper Lymphocytes

Author : Edda G. Schulz
Publisher : Logos Verlag Berlin GmbH
ISBN 13 : 3832524983
Total Pages : 173 pages
Book Rating : 4.8/5 (325 download)

DOWNLOAD NOW!

Book Synopsis Experimental and Mathematical Analysis of Regulatory Networks in T-helper Lymphocytes by : Edda G. Schulz

Download or read book Experimental and Mathematical Analysis of Regulatory Networks in T-helper Lymphocytes written by Edda G. Schulz and published by Logos Verlag Berlin GmbH. This book was released on 2010 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, an interdisciplinary approach combining dynamic quantitative measurements with mathematical modelling is used to solve two different problems in molecular immunology. In the first part, structure and function of the gene-regulatory network that controls differentiation of type I T-helper (Th1) cells is investigated. By determining the network structure through an iterative process of modelling and experiments, the author shows that Th1 differentiation proceeds in two steps: In the early effector phase, the Th1 master transcription factor T-bet is controlled by an interferon-? dependent positive feedback loop, while in the later phase a second IL-12 dependent feedback maintains T-bet expression. The antigen signal acts as a switch between the two pathways. Moreover, it is shown that only T-bet expression in the late phase is predictive of the success of the differentiation process. Since T-bet expression in the late phase requires IL-12 stimulation, this work uncovers the molecular mechanisms behind the unique role of IL-12 in Th1 differentiation. In the second part, regulation of the transcription factor NFAT that mediates antigenic stimulation in T-cells is investigated. NFAT is activated by nuclear import upon dephosphorylation of multiple residues. Based on simultaneous measurements of NFAT subcellular localization and phosphorylation, a quantitative mathematical model of the NFAT regulatory network is developed and the underlying design principles are analyzed. In summary, the study exemplifies the necessity of a dynamic analysis at the systems level to understand complex biological processes.

Theoretical Immunology, Part One

Author : Alan S. Perelson
Publisher : CRC Press
ISBN 13 : 0429961251
Total Pages : 427 pages
Book Rating : 4.4/5 (299 download)

DOWNLOAD NOW!

Book Synopsis Theoretical Immunology, Part One by : Alan S. Perelson

Download or read book Theoretical Immunology, Part One written by Alan S. Perelson and published by CRC Press. This book was released on 2018-03-05 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Assuming that the complex phenomena underlying the operation of the immune system may be better understood through the collaborative efforts of theorists and experimentalists viewing the same phenomena in different ways, the Sante Fe Institute and the Theoretical Division of Los Alamos National Laboratory cosponsored a workshop entitled "Theoretical Immunology". The workshop focused on themes spanning the field of immunology, with emphasis on areas where the theorists have made the most progress. This book covers the discussions a that workshop on the topics of immune surveillance, mathematical models of HIV infection, complexities of antigen-antibody systems, immune suppression and tolerance, and idiotypie networks. In each of these areas there is reason to believe that advances can be made either through interactions among experimentalists and theorists or through the critical look experimentalists and theorists will bring to bear upon one another's work.

Computational Cell Biology

Author : Christopher P. Fall
Publisher : Springer Science & Business Media
ISBN 13 : 0387224599
Total Pages : 484 pages
Book Rating : 4.3/5 (872 download)

DOWNLOAD NOW!

Book Synopsis Computational Cell Biology by : Christopher P. Fall

Download or read book Computational Cell Biology written by Christopher P. Fall and published by Springer Science & Business Media. This book was released on 2007-06-04 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides an introduction to dynamic modeling in molecular cell biology, taking a computational and intuitive approach. Detailed illustrations, examples, and exercises are included throughout the text. Appendices containing mathematical and computational techniques are provided as a reference tool.