An Introduction to Systems Biology: Design Principles of Biological Circuits / Edition 1

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Alon's Introduction to Systems Biology is a beautifully written book that unifies a range of recent discoveries about the operation and evolution of genetic circuits into a gripping narrative. The text explains simplifying concepts underlying the transcriptional architecture of the cell, error control, robustness, and more. Beyond simply recounting recent results, Alon boldly articulates the basic principles underlying biological circuitry at different levels, and shows how powerful they can be in understanding the complexity of living cells. For anyone who wants to understand how a living cell works, but thought they never would, this book is essential." Michael B. Elowitz, California Institute of Technology, USA "Uri Alon offers a highly original perspective on Systems Biology, emphasizing the function of certain simple networks that appear as ubiquitous building blocks of living matter. The quest for simplicity - without losing contact with complex reality - is the only way to uncover the principles organizing biological systems. Alon writes with uncommon lucidity making this book recommended reading for any student of Quantitative Systems Biology." Boris Shraiman, Kavli Institute for Theoretical Physics, UCSB, USA Book Description This book presents recently discovered design principles that govern the structure and behavior of biological networks such as gene circuits, highlighting simple, recurring circuit elements that make up the network. It provides a quantitative theory for which circuits are found in a given environment and a mathematical framework for understanding and even designing biological circuits. The book requires only basic mathematics and includes a review of the necessary background material. It fills a significant need for a textbook and introduction to the concepts, principles, and mathematical tools that will form the basis of future developments in the field.

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Editorial Reviews

From the Publisher
"[This text deserves] serious attention from any quantitative scientist or physicist who hopes to learn about modern biology. [It is] well written. … Alon’s book is the better place for physicists to start. It assumes no prior knowledge of or even interest in biology. Yet right from chapter 1, the author succeeds in explaining in an intellectually exciting way what the cell does and what degrees of freedom enable it to function. … The book proceeds with detailed discussions of some of the key network motifs, circuit-element designs … [and] focuses on concrete examples such as chemotaxis and developmental pattern formation. … He draws the detailed strands together into an appealing and inspiring overview of biology. … One final aspect that must be mentioned is the wonderful set of exercises that accompany each chapter. … Alon’s book should become a standard part of the training of graduate students in biological physics… ."
—Nigel Goldenfeld, University of Illinois at Urbana-Champaign, Physics Today, June 2007

"…a superb, beautifully written and organized work that takes an engineering approach to systems biology. Alon provides nicely written appendices to explain the basic mathematical and biological concepts clearly and succinctly without interfering with the main text. He starts with a mathematical description of transcriptional activation and then describes some basic transcription-network motifs (patterns) that can be combined to form larger networks. … Alon investigates networks at a higher level, including genomic regulatory networks. He does an excellent job of explaining and motivating a useful toolbox of engineering models and methods using network-based controls. … will be a valuable and non-overlapping addition to a systems-biology curriculum."
—Eric Werner, Department of Physiology, Anatomy and Genetics, University of Oxford, Nature, Vol. 446, No. 29, March 2007

"I read Uri Alon’s elegant book almost without stopping for breath. He perceives and explains so many simple regularities, so clearly, that the novice reading this book can move on immediately to research literature, armed with a grasp of the many connections between diverse phenomena."
—Philip Nelson, Professor of Physics, University of Pennsylvania, Philadelphia, USA

"… Beyond simply recounting recent results, Alon boldly articulates the basic principles underlying biological circuitry at different levels and shows how powerful they can be in understanding the complexity of living cells. For anyone who wants to understand how a living cell works, but thought they never would, this book is essential."
—Michael B. Elowitz, California Institute of Technology, Pasadena, USA

"Uri Alon offers a highly original perspective on systems biology, emphasizing the function of certain simple networks that appear as ubiquitous building blocks of living matter. The quest for simplicity — without losing contact with complex reality — is the only way to uncover the principles organizing biological systems. Alon writes with uncommon lucidity…"
—Boris Shraiman, University of California, Santa Barbara, USA

"This is a remarkable book that introduces not only a field but a way of thinking. Uri Alon describes in an elegant, simple way how principles such as stability, robustness and optimal design can be used to analyze and understand the evolution and behavior of living organisms. Alon’s clear intuitive language and helpful examples offer — even to a mathematically naive reader — deep mathematical insights into biology. The community has been waiting for this book; it was worth the wait."
—Galit Lahav, Harvard Medical School, Boston, Massachusetts, USA

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Product Details

Table of Contents

The Cognitive Problem of the Cell
Elements of Transcription Networks
Dynamics and Response Time of Simple Gene Circuits
Patterns, Randomized Networks and Network Motifs
Autoregulation is a Network Motif
Negative Auto-Regulation Speeds the Response Time of Gene
Negative Auto-Regulation Promotes Robustness to Fluctuations
in Production
Positive auto-regulation speeds responses and widens cell-cell variability
The Number of Appearances of a Subgraph in Random
The Feedforward Loop (FFL) is a Network Motif
The Structure of the Feedforward Loop Circuit
Dynamics of the Coherent FFL with AND-Logic
The C1-FFL is a Sign-Sensitive Delay Element
The Incoherent FFL: a pulse generator and response accelerator
Why Are Some FFL Types Rare?
Convergent Evolution of FFLs
The Single-Input Module (SIM) Network Motif
SIMs Can Generate Temporal Expression Programs
Topological Generalizations of Network Motifs
The Multi-Output FFL Can Generate FIFO Temporal Order
Signal Integration and Combinatorial Control: Bi-Fans and
Dense-Overlapping Regulons
Network Motifs and the Global Structure of Sensory
Transcription Networks
Network Motifs in Developmental Transcription Networks:
Positive feedback loops and bistability
Motifs in Signal Transduction Networks
Information Processing Using Multi-Layer Perceptrons
Composite Network Motifs: Negative Feedback and Oscillator
Network Motifs in the Neuronal Network of C. Elegans
The Robustness Principle
Bacterial Chemotaxis, or How Bacteria 'Think'
The Chemotaxis Protein Circuit of E. coli
Two Models Can Explain Exact Adaptation, One is Robust and
the Other Fine Tuned
The Barkai-Leibler model
Individuality and Robustness in Bacterial Chemotaxis
Introduction to Morphogen Gradients
Exponential Gradients Are Not Robust
Increased Robustness by Self-Enhanced Morphogen
Network Motifs That Provide Robust Patterning
The Robustness Principle Can Distinguish Between
Mechanisms of Fruit Fly Patterning
Kinetic Proofreading of the Genetic Code Can Reduce Error
Rates of Molecular Recognition
Recognition of Self and Non-Self by the Immune System
Kinetic Proofreading May Occur in Diverse Recognition
Processes in the Cell
Cost and Benefit Analysis of Gene circuits
Optimal Expression Level of a Protein Under Constant
To Regulate or Not to Regulate: Optimal Regulation in Variable
Environmental Selection of the Feedforward Loop Network Motif
The Savageau Demand Rules
Rules for Gene Regulation Based on Minimal Error Load
Demand Rules for Genes with Multiple Regulators
EPILOGUE: Simplicity in Biology
APPENDIX A: The Input-Function of a Gene, Michaelis-Menten and Hill Equations

APPENDIX B: Multi-Dimensional Input-Functions
APPENDIX C: Graph Properties of Transcription Networks
APPENDIX D: Cell-Cell Variability in Gene Expression

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