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Author: James Ferrell Publisher: Garland Science ISBN: 1000430731 Category : Science Languages : en Pages : 285
Book Description
How can we understand the complexity of genes, RNAs, and proteins and the associated regulatory networks? One approach is to look for recurring types of dynamical behavior. Mathematical models prove to be useful, especially models coming from theories of biochemical reactions such as ordinary differential equation models. Clever, careful experiments test these models and their basis in specific theories. This textbook aims to provide advanced students with the tools and insights needed to carry out studies of signal transduction drawing on modeling, theory, and experimentation. Early chapters summarize the basic building blocks of signaling systems: binding/dissociation, synthesis/destruction, and activation/inactivation. Subsequent chapters introduce various basic circuit devices: amplifiers, stabilizers, pulse generators, switches, stochastic spike generators, and oscillators. All chapters consistently use approaches and concepts from chemical kinetics and nonlinear dynamics, including rate-balance analysis, phase plane analysis, nullclines, linear stability analysis, stable nodes, saddles, unstable nodes, stable and unstable spirals, and bifurcations. This textbook seeks to provide quantitatively inclined biologists and biologically inclined physicists with the tools and insights needed to apply modeling and theory to interesting biological processes. Key Features: Full-color illustration program with diagrams to help illuminate the concepts Enables the reader to apply modeling and theory to the biological processes Further Reading for each chapter High-quality figures available for instructors to download
Author: James Ferrell Publisher: Garland Science ISBN: 1000430731 Category : Science Languages : en Pages : 285
Book Description
How can we understand the complexity of genes, RNAs, and proteins and the associated regulatory networks? One approach is to look for recurring types of dynamical behavior. Mathematical models prove to be useful, especially models coming from theories of biochemical reactions such as ordinary differential equation models. Clever, careful experiments test these models and their basis in specific theories. This textbook aims to provide advanced students with the tools and insights needed to carry out studies of signal transduction drawing on modeling, theory, and experimentation. Early chapters summarize the basic building blocks of signaling systems: binding/dissociation, synthesis/destruction, and activation/inactivation. Subsequent chapters introduce various basic circuit devices: amplifiers, stabilizers, pulse generators, switches, stochastic spike generators, and oscillators. All chapters consistently use approaches and concepts from chemical kinetics and nonlinear dynamics, including rate-balance analysis, phase plane analysis, nullclines, linear stability analysis, stable nodes, saddles, unstable nodes, stable and unstable spirals, and bifurcations. This textbook seeks to provide quantitatively inclined biologists and biologically inclined physicists with the tools and insights needed to apply modeling and theory to interesting biological processes. Key Features: Full-color illustration program with diagrams to help illuminate the concepts Enables the reader to apply modeling and theory to the biological processes Further Reading for each chapter High-quality figures available for instructors to download
Author: Zhike Zi Publisher: Frontiers Media SA ISBN: 2889742814 Category : Science Languages : en Pages : 224
Book Description
Topic Editor Prof. Xing is in collaboration with ATCC (https://www.atcc.org/) on testing some of their cell lines in research. All other Topic Editors declare no competing interests with regards to the Research Topic subject.
Author: Sangdun Choi Publisher: Springer Science & Business Media ISBN: 1441957979 Category : Science Languages : en Pages : 900
Book Description
System Biology encompasses the knowledge from diverse fields such as Molecular Biology, Immunology, Genetics, Computational Biology, Mathematical Biology, etc. not only to address key questions that are not answerable by individual fields alone, but also to help in our understanding of the complexities of biological systems. Whole genome expression studies have provided us the means of studying the expression of thousands of genes under a particular condition and this technique had been widely used to find out the role of key macromolecules that are involved in biological signaling pathways. However, making sense of the underlying complexity is only possible if we interconnect various signaling pathways into human and computer readable network maps. These maps can then be used to classify and study individual components involved in a particular phenomenon. Apart from transcriptomics, several individual gene studies have resulted in adding to our knowledge of key components that are involved in a signaling pathway. It therefore becomes imperative to take into account of these studies also, while constructing our network maps to highlight the interconnectedness of the entire signaling pathways and the role of that particular individual protein in the pathway. This collection of articles will contain a collection of pioneering work done by scientists working in regulatory signaling networks and the use of large scale gene expression and omics data. The distinctive features of this book would be: Act a single source of information to understand the various components of different signaling network (roadmap of biochemical pathways, the nature of a molecule of interest in a particular pathway, etc.), Serve as a platform to highlight the key findings in this highly volatile and evolving field, and Provide answers to various techniques both related to microarray and cell signaling to the readers.
Author: James Ellsworth Ferrell Publisher: Garland Science ISBN: 9780815346036 Category : Cellular signal transduction Languages : en Pages : 264
Book Description
"All living cells continually detect and respond to external signals. This is true of prokaryotes, whether they are living alone or in biofilms, and it is even more manifestly true in multicellular eukaryotes, where communication between cells and coordination of the cells' behavior enables the organism to function as a unified whole. In large multicellular organisms like us humans, cells receive signals from their immediate neighbors through short-range signals like neurotransmitters and cell-surface molecules. They receive signals from more distant neighbors via longer-range diffusible molecules like morphogens, and from still-more distant neighbors by means of hormones that flow through the circulatory system. And they receive signals from the outside world via sense organs. Cells also monitor their own internal status, and there is a great deal of overlap between the cellular components involved in cell-cell communication and internal monitoring"--
Author: John Hancock Publisher: Oxford University Press, USA ISBN: 0199232105 Category : Education Languages : en Pages : 364
Book Description
Signalling within and between cells is an essential part of many biological processes, from the development of the body to the activity of our immune system. Cell Signalling, Third Edition, presents a carefully structured introduction to this intricate subject, introducing those conserved features that underlie many different extra- and intracellular signalling systems. Starting with an overview of cell signalling and highlighting its importance in many biological systems, the book goes on to explore the key components of extracellular and intracellular signalling mechanisms before examining how these components come together to create signalling pathways, which are so crucial to the survival of many living organisms. The text is enhanced by two-color artwork and 3-D protein models. A Companion Website provides resources for students and instructors.
Author: Kumar Selvarajoo Publisher: Springer Science & Business Media ISBN: 1461476909 Category : Medical Languages : en Pages : 153
Book Description
Immuno Systems Biology aims to study the immune system in the more integrated manner on how cells and molecules participate at different system levels to the immune function. Through this book Kumar Selvarajoo introduces to physicists, chemists, computer scientists, biologists and immunologists the idea of an integrated approach to the understanding of mammalian immune system. Geared towards a researcher with limited immunological and computational analytical experience, the book provides a broad overview to the subject and some instruction in basic computational, theoretical and experimental approaches. The book links complex immunological processes with computational analysis and emphasizes the importance of immunology to the mammalian system.
Author: Eberhard Voit Publisher: Garland Science ISBN: 1351332937 Category : Computers Languages : en Pages : 604
Book Description
A First Course in Systems Biology is an introduction for advanced undergraduate and graduate students to the growing field of systems biology. Its main focus is the development of computational models and their applications to diverse biological systems. The book begins with the fundamentals of modeling, then reviews features of the molecular inventories that bring biological systems to life and discusses case studies that represent some of the frontiers in systems biology and synthetic biology. In this way, it provides the reader with a comprehensive background and access to methods for executing standard systems biology tasks, understanding the modern literature, and launching into specialized courses or projects that address biological questions using theoretical and computational means. New topics in this edition include: default modules for model design, limit cycles and chaos, parameter estimation in Excel, model representations of gene regulation through transcription factors, derivation of the Michaelis-Menten rate law from the original conceptual model, different types of inhibition, hysteresis, a model of differentiation, system adaptation to persistent signals, nonlinear nullclines, PBPK models, and elementary modes. The format is a combination of instructional text and references to primary literature, complemented by sets of small-scale exercises that enable hands-on experience, and large-scale, often open-ended questions for further reflection.
Author: Friedrich Marks Publisher: Garland Science ISBN: 1351677217 Category : Medical Languages : en Pages : 982
Book Description
Cellular Signal Processing offers a unifying view of cell signaling based on the concept that protein interactions act as sophisticated data processing networks that govern intracellular and extracellular communication. It is intended for use in signal transduction courses for undergraduate and graduate students working in biology, biochemistry, bioinformatics, and pharmacology, as well as medical students. The text is organized by three key topics central to signal transduction: the protein network, its energy supply, and its evolution. It covers all important aspects of cell signaling, ranging from prokaryotic signal transduction to neuronal signaling, and also highlights the clinical aspects of cell signaling in health and disease. This new edition includes expanded coverage of prokaryotes, as well as content on new developments in systems biology, epigenetics, redox signaling, and small, non-coding RNA signaling.
Author: Christina Kiel Publisher: Elsevier Inc. Chapters ISBN: 0128070064 Category : Medical Languages : en Pages : 43
Book Description
This chapter brings mammalian signal transduction to the center of quantitative and integrative sciences. Historically imbedded within human physiology, thanks to proteomics, interactomics, and molecular biology approaches, signaling is now far beyond the “black box” principle. However, despite the large amount of data available, we still have only limited insight into general design principles, and we lack knowledge on how cell type-specific signaling is achieved. Here, we summarize recent efforts in elucidating cell type-specific signaling, and in particular the role of protein abundances, signaling complexes and modules. We further discuss the potential of using synthetic biology approaches to decipher signaling networks. All of this is discussed in light of complementary quantitative mathematical modeling approaches. Signaling, more than any other discipline, needs computational biology to capture the dynamic systems behavior, and to reach its final goal: to be truly predictive for both the physiological and disease perturbed cellular conditions.
Author: James Ferrell
Author: James Ferrell
Author: Zhike Zi
Author: Sangdun Choi
Author: James Ellsworth Ferrell
Author: John Hancock
Author: Kumar Selvarajoo
Author: Eberhard Voit
Author: Friedrich Marks
Author: Christina Kiel
Author: Bruce Alberts