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James E. Ferrell - Systems Biology of Cell Signaling: Recurring Themes and Quantitative Models

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Systems Biology of Cell Signaling: Recurring Themes and Quantitative Models: summary, description and annotation

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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

James E. Ferrell: author's other books


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Systems Biology of Cell Signaling Mathematica and the Mathematica logo are - photo 1
Systems Biology of Cell Signaling

Mathematica and the Mathematicalogo are registered trademarks of Wolfram Research, Inc. (WRI - www.wolfram.com http://www.wolfram.com/ ) and are used herein with WRIs permission. WRI did not participate in the creation of this work beyond the inclusion of the accompanying software, and offers it no endorsement beyond the inclusion of the accompanying software.

First edition published 2022

by CRC Press

6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742

and by CRC Press

2 Park Square, Milton Park, Abingdon, Oxon, OX14 4RN

2022 Taylor & Francis Group, LLC

CRC Press is an imprint of Taylor & Francis Group, LLC

Reasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the validity of all materials or the consequences of their use. The authors and publishers have attempted to trace the copyright holders of all material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyright material has not been acknowledged please write and let us know so we may rectify in any future reprint.

Except as permitted under U.S. Copyright Law, no part of this book may be reprinted, reproduced, transmitted, or utilized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying, microfilming, and recording, or in any information storage or retrieval system, without written permission from the publishers.

For permission to photocopy or use material electronically from this work, access

Trademark notice: Product or corporate names may be trademarks or registered trademarks and are used only for identification and explanation without intent to infringe.

Library of Congress CataloginginPublication Data

Names: Ferrell, James Ellsworth, author.

Title: Understanding cell signaling : motifs, recurring themes, and the

theory of nonlinear dynamics / James Ferrell.

Description: Boca Raton : Taylor & Francis, 2021. | Includes

bibliographical references and index. | Summary: 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 Provided

by publisher.

Identifiers: LCCN 2021007837 (print) | LCCN 2021007838 (ebook) |

ISBN 9780367643836 (hardback) | ISBN 9780815346036 (paperback) |

ISBN 9781003124269 (ebook)

Subjects: LCSH: Cellular signal transduction.

Classification: LCC QP517.C45 F47 2021 (print) | LCC QP517.C45 (ebook) |

DDC 571.7/4--dc23

LC record available at https://lccn.loc.gov/2021007837

LC ebook record available at https://lccn.loc.gov/2021007838

ISBN: 978-0-367-64383-6 (hbk)

ISBN: 978-0-8153-4603-6 (pbk)

ISBN: 978-1-003-12426-9 (ebk)

DOI: 10.1201/9781003124269

Typeset in ITC Leawood Std Book

by codeMantra

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