Killer Cell Dynamics PDF Download
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Author | : Dominik Wodarz |
Publisher | : Springer Science & Business Media |
Total Pages | : 226 |
Release | : 2007-04-05 |
Genre | : Mathematics |
ISBN | : 0387687335 |
Download Killer Cell Dynamics Book in PDF, ePub and Kindle
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.
Author | : Srinivas S. Somanchi |
Publisher | : Humana Press |
Total Pages | : 365 |
Release | : 2016-05-13 |
Genre | : Medical |
ISBN | : 9781493936823 |
Download Natural Killer Cells Book in PDF, ePub and Kindle
This volume contains collection of Natural Killer Cell methodologies relevant for both basic and translational research. These methodologies present new developments in the natural killer (NK) cell field, such as understanding the influence of NK cells metabolism on its function, identifying complexity of NK cell subsets through mass cytometry, and determining the emergence of memory NK cells in murine model of MCMV infection. Methods that study NK cell migration and cytotoxicity through endpoint analysis or live single cell imaging are also discussed. Chapters also describe methods pertaining to translational application of NK cells, such as ex vivo expansion of NK cells on K562 cell lines genetically modified to express either membrane bound IL-15 or membrane bound IL-21, large scale NK cell culture, current techniques for engineering NK cells to express chimeric antigen receptors or chemokine receptors using retroviral vectors, electroporation of mRNA, and the natural phenomenon of trogocytosis. Written in the highly successful Methods in Molecular Biology series format, these chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting edge and thorough, Natural Killer Cells: Methods and Protocols is a valuable resource for researchers who not only want to understand mechanisms that govern NK cell behavior and diversity, but also for those who want to understand how to systematically evaluate NK cells for adoptive immunotherapy applications.
Author | : Yanting Zhu |
Publisher | : |
Total Pages | : 85 |
Release | : 2018 |
Genre | : Killer cells |
ISBN | : |
Download Cytotoxic Dynamics of Natural Killer Cell at the Single Cell Level Book in PDF, ePub and Kindle
Natural Killer (NK) cell, a crucial player of the human innate immune defense system, detects and kills virus-infected cells and cancer cells. Although the relevant molecular machineries involved in NK cell activation and NK-target cell interactions are largely known, how their collected dynamics regulate fast yet highly selective target cell killing in the complex environment of tissues is poorly understood. In traditional bulk killing assays, heterogeneity and kinetic details of individual NK-target cell interactions are masked, seriously limiting analysis of the underlying dynamic mechanisms. Therefore, the aim of my PhD study is to develop quantitative microscopy assays to elucidate, at the single cell level, real-time killing dynamics of epithelial cancer cells by primary NK cells purified from human blood. Results from my study not only identified the rate-limiting kinetics in NK-cancer cell interaction and mechanistically relevant heterogeneity in the process, but also characterized key molecular events and regulatory components of the NK cell machinery that were associated with the observed cytotoxic dynamics and heterogeneity. NK cells are considered promising candidate for cancer treatment, especially for eliminating residual cancer cells after conventional therapy. The fundamental knowledge acquired from my PhD study, in particular regarding how killing by primary NK cell varies between different target cancer cell types, provides new mechanistic insight that may help to develop this treatment strategy. And the quantitative microscopy assays that I developed are readily extendable to analysis of other cell-cell interaction dynamics, e.g., involved in cytotoxic T cell function.
Author | : Michael T. Lotze |
Publisher | : Academic Press |
Total Pages | : 709 |
Release | : 2009-11-12 |
Genre | : Medical |
ISBN | : 0080919294 |
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Natural Killer Cells explains the importance of killer cells and how they are produced. It mentions that the most likely explanation for killer cell production is that they serve as a complementary system for T cells as a primary defense against viruses. However, these cells defend against certain viruses only, such as herpes viruses and influenza viruses. The book also explains the primary functions of killer cells, and it discusses how these cells help recognize damaged tissues, limit further damage to tissues, and regenerate damaged tissues. It discusses how these cells mature and develop, and it covers the different isolation, culture, and propagation methods of these cells. Furthermore, it focuses on the different killer cells that are present in various parts of the human body. The book concludes by explaining that natural killer cells are utilized for clinical therapy of malignancies, and that they have led to positive outcomes in the field of biology and medicine. Provides a broad, detailed coverage of the biology and interactions of NK cells for students, fellows, scientists, and practitioners Includes figures, histologic sections, and illustrations of the ontogeny of NK cells
Author | : |
Publisher | : |
Total Pages | : |
Release | : 2019 |
Genre | : |
ISBN | : 9789178314348 |
Download Dynamics of Natural Killer Cell Homeostasis Book in PDF, ePub and Kindle
Author | : Sunitha Bagawath Singh |
Publisher | : |
Total Pages | : |
Release | : 2018 |
Genre | : |
ISBN | : 9789176768914 |
Download Receptor Localization and Dynamics of Murine Natural Killer Cells at Single Cell Level - Using Advanced Fluorescence Microscopy Book in PDF, ePub and Kindle
Author | : Bruce Alberts |
Publisher | : |
Total Pages | : 0 |
Release | : 2002 |
Genre | : Cytology |
ISBN | : 9780815332183 |
Download Molecular Biology of The Cell Book in PDF, ePub and Kindle
Author | : Sarah P. Otto |
Publisher | : Princeton University Press |
Total Pages | : 745 |
Release | : 2011-09-19 |
Genre | : Science |
ISBN | : 1400840910 |
Download A Biologist's Guide to Mathematical Modeling in Ecology and Evolution Book in PDF, ePub and Kindle
Thirty years ago, biologists could get by with a rudimentary grasp of mathematics and modeling. Not so today. In seeking to answer fundamental questions about how biological systems function and change over time, the modern biologist is as likely to rely on sophisticated mathematical and computer-based models as traditional fieldwork. In this book, Sarah Otto and Troy Day provide biology students with the tools necessary to both interpret models and to build their own. The book starts at an elementary level of mathematical modeling, assuming that the reader has had high school mathematics and first-year calculus. Otto and Day then gradually build in depth and complexity, from classic models in ecology and evolution to more intricate class-structured and probabilistic models. The authors provide primers with instructive exercises to introduce readers to the more advanced subjects of linear algebra and probability theory. Through examples, they describe how models have been used to understand such topics as the spread of HIV, chaos, the age structure of a country, speciation, and extinction. Ecologists and evolutionary biologists today need enough mathematical training to be able to assess the power and limits of biological models and to develop theories and models themselves. This innovative book will be an indispensable guide to the world of mathematical models for the next generation of biologists. A how-to guide for developing new mathematical models in biology Provides step-by-step recipes for constructing and analyzing models Interesting biological applications Explores classical models in ecology and evolution Questions at the end of every chapter Primers cover important mathematical topics Exercises with answers Appendixes summarize useful rules Labs and advanced material available
Author | : Dominik Wodarz |
Publisher | : World Scientific |
Total Pages | : 266 |
Release | : 2005-01-24 |
Genre | : Science |
ISBN | : 9814481874 |
Download Computational Biology Of Cancer: Lecture Notes And Mathematical Modeling Book in PDF, ePub and Kindle
The book shows how mathematical and computational models can be used to study cancer biology. It introduces the concept of mathematical modeling and then applies it to a variety of topics in cancer biology. These include aspects of cancer initiation and progression, such as the somatic evolution of cells, genetic instability, and angiogenesis. The book also discusses the use of mathematical models for the analysis of therapeutic approaches such as chemotherapy, immunotherapy, and the use of oncolytic viruses.
Author | : Dominik Wodarz |
Publisher | : World Scientific |
Total Pages | : 533 |
Release | : 2014-04-24 |
Genre | : Mathematics |
ISBN | : 9814566381 |
Download Dynamics Of Cancer: Mathematical Foundations Of Oncology Book in PDF, ePub and Kindle
The book aims to provide an introduction to mathematical models that describe the dynamics of tumor growth and the evolution of tumor cells. It can be used as a textbook for advanced undergraduate or graduate courses, and also serves as a reference book for researchers. The book has a strong evolutionary component and reflects the viewpoint that cancer can be understood rationally through a combination of mathematical and biological tools. It can be used both by mathematicians and biologists. Mathematically, the book starts with relatively simple ordinary differential equation models, and subsequently explores more complex stochastic and spatial models. Biologically, the book starts with explorations of the basic dynamics of tumor growth, including competitive interactions among cells, and subsequently moves on to the evolutionary dynamics of cancer cells, including scenarios of cancer initiation, progression, and treatment. The book finishes with a discussion of advanced topics, which describe how some of the mathematical concepts can be used to gain insights into a variety of questions, such as epigenetics, telomeres, gene therapy, and social interactions of cancer cells.