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Cover Art for Life: An Introduction to Complex Systems Biology
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Life: An Introduction to Complex Systems Biology


Edition: 1st
Author(s): Kaneko, K.
ISBN10:  3540326669
ISBN13:  9783540326663
Format:  Hardcover
Pub. Date:  10/10/2006
Publisher(s): Springer-Verlag New York Inc

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Table of Contents
1 How Should Living Systems Be Studied?
1(36)
1.1 What Is Life?
1(2)
1.2 A Half Century of Molecular Biology
3(4)
1.3 The Reemergence of Diversity and the Enumerative "-ome" Doctrine
7(3)
1.4 Diversity and Dependence on Environmental Circumstances
10(3)
1.5 Systems of Strongly Interacting Elements
13(2)
1.6 Are Living Organisms "Computing Machines"?
15(3)
1.7 Problems with the "Program" Point of View
18(2)
1.8 The Problem of Stability
20(2)
1.9 Systems Evolving Amongst Fluctuations
22(2)
1.10 Spontaneity
24(3)
1.11 How the Parts Composing the Whole Are Determined by the Whole
27(1)
1.12 Universal Properties That Cannot Be Traced Back to Molecules
28(3)
1.13 Transcending Enumeration
31(6)
1.13.1 The Absolute Limitation of Enumeration
32(1)
1.13.2 Standard for Enumeration
32(1)
1.13.3 The Essence of Life Does Not Lie in Combinatorial Complexity
32(1)
1.13.4 The Importance of Fluctuations
33(1)
1.13.5 The Essential Difficulty Involved in Constructing That Precisely Describe Biological Phenomena
34(1)
1.13.6 The Lack of Reliable Fundamental Equations
34(1)
1.13.7 A Description of Phenomena is Not Equivalent to an Understanding
35(1)
1.13.8 The Necessity for a New Framework
35(2)
2 Constructive Biology
37(10)
2.1 The Understanding Obtained Through Construction
37(2)
2.2 The "Way" of Construction
39(1)
2.3 Examples of Studies in Constructive Biology
40(4)
2.4 On the Mode of Understanding
44(3)
2.4.1 Remark: Synthetic Biology
45(1)
2.4.2 Remark: Artificial Life
46(1)
3 Basic Concepts in Dynamical Systems
47(34)
3.1 Basic Picture in Dynamical Systems
47(10)
3.1.1 Representation of a Cell Ensemble by the Distribution of Points in the State Space
50(7)
3.2 The Role of Fluctuations
57(6)
3.2.1 Fluctuations and Stability
57(2)
3.2.2 The Relation Between Response and Fluctuations the Fluctuation-Response Relation
59(3)
3.2.3 Fluctuations Are Not due Entirely to Noise from the Environment But Result also from Internal Dynamics and Depend on the Internal State
62(1)
3.3 Plasticity
63(3)
3.4 Representation of "Softness"
66(5)
3.5 Coupled Dynamical Systems for the Study of Cell System
71(3)
3.6 Chaotic Itinerancy
74(7)
3.6.1 Relevance to Biological System
77(2)
3.6.2 Experimental Method in Studying Itinerancy
79(2)
4 Origin of Bioinformation
81(30)
4.1 Question to Be Addressed
81(8)
4.2 Logic: Minority Control Hypothesis
89(2)
4.3 Toy Model
91(3)
4.4 Result
94(3)
4.5 Minority-Controlled State
97(3)
4.5.1 Preservation of Minority Molecule
97(1)
4.5.2 Control of the Growth Speed
97(1)
4.5.3 Control of Chemical Composition by the Minority Molecule
98(1)
4.5.4 Evolvability
99(1)
4.6 Experiment
100(5)
4.7 Relevance to Biology
105(6)
4.7.1 Heredity from a Kinetic Viewpoint
105(2)
4.7.2 Accessibility to MCS
107(1)
4.7.3 Closing Remark
108(3)
5 Origin of a Cell with Recursive Growth
111(24)
5.1 Question to Be Addressed
111(1)
5.2 Logic
112(2)
5.3 Model
114(4)
5.3.1 Modeling Strategy for the Chemical Reaction Networks
114(3)
5.3.2 Specific Model
117(1)
5.4 Result
118(9)
5.4.1 Dependence of Phases on the Basic Parameters
120(2)
5.4.2 Maintenance of Recursive Production
122(3)
5.4.3 Switching
125(1)
5.4.4 Fluctuations
125(2)
5.5 Experiment
127(5)
5.5.1 Replicating Liposome
127(1)
5.5.2 Protein Synthesis within a Liposome
128(3)
5.5.3 For the Synthesis of Artificial Replicating Cell
131(1)
5.6 Relevance to Biology
132(3)
6 Universal Statistics of a Cell with Recursive Growth
135(24)
6.1 Question to Be Addressed
135(2)
6.2 Logic
137(2)
6.3 Model
139(1)
6.4 Result
140(8)
6.4.1 Log-Normal Distribution
145(3)
6.5 Experiment
148(4)
6.5.1 Confirmation of Zipf's Law
148(2)
6.5.2 Confirmation of Laws on Fluctuations
150(2)
6.6 Relevance to Biology
152(7)
6.6.1 Cluster Analysis of Gene Expression
152(1)
6.6.2 Remark on Universal Log-Normal Statistics
153(1)
6.6.3 Relationship Between Abundance Statistics and Network Topology
154(5)
7 Cell Differentiation and Development
159(34)
7.1 Question to Be Addressed: Stability of Development
159(8)
7.1.1 Kauffman's Gene Network Model
164(3)
7.2 Logic: Isologous Diversification
167(3)
7.3 Model
170(4)
7.3.1 Internal Biochemical Reaction Network
171(1)
7.3.2 Interaction Among the Cells
171(2)
7.3.3 Cell Division
173(1)
7.3.4 Molecular Fluctuation
173(1)
7.3.5 Model Equation
174(1)
7.4 Results
174(6)
7.4.1 Five Stages of Isologous Diversification
174(6)
7.5 Further Results on Robustness and Dynamics of Differentiation
180(4)
7.5.1 Robustness of Developmental Process
180(2)
7.5.2 Transplant Experiment and Cellular Memory
182(1)
7.5.3 Separation of Inherent Time Scales
183(1)
7.5.4 Relevance of Low-Concentration Chemical to the Initiation of Differentiation
183(1)
7.6 Experiment
184(3)
7.6.1 Differentiation of E. coli Through Interaction
184(3)
7.6.2 Interaction-Dependent Tumor Genesis
187(1)
7.7 Relevance to Biology
187(3)
7.7.1 Summary of the Result
187(1)
7.7.2 Robustness from Unstable Dynamics
188(1)
7.7.3 Relevance of Molecules with Very Low Concentration to Development
189(1)
7.7.4 Oscillation
189(1)
7.7.5 Control of Tumor Formation
189(1)
7.8 Appendix: An Example of Model Equation
190(3)
8 Irreversible Differentiation from Stem Cell and Robust Development
193(34)
8.1 Question to Be Addressed: Regulation for Differentiation of Stem Cell
193(5)
8.2 Logic: Chaotic Stem Cell
198(3)
8.2.1 Direction of Determination: Logic
200(1)
8.3 Model
201(1)
8.4 Results
202(16)
8.4.1 Hierarchical Differentiation
202(3)
8.4.2 Dual Coding of Cellular State: Discrete Types and Continuous Modulation of Each Type
205(1)
8.4.3 Regulation of Stochastic Differentiation
206(1)
8.4.4 Differentiation of Colony
207(2)
8.4.5 Stability
209(2)
8.4.6 Irreversibility
211(5)
8.4.7 Universality of Differentiation
216(2)
8.5 Experiment
218(4)
8.5.1 Constructive Experiment from Embryonic Stern Cell
218(1)
8.5.2 Differentiation from Callus of Plant
219(1)
8.5.3 Construction of "Stem-type Cell" from Bacteria
219(3)
8.6 Relevance to Biology
222(5)
9 Pattern Formation and Origin of Positional Information
227(28)
9.1 Question to Be Addressed: Origin of Positional Information
227(5)
9.2 Logic
232(1)
9.3 Model
232(1)
9.4 Results
233(8)
9.4.1 Generation of Positional Information
235(3)
9.4.2 Complementary Relationship between Internal Cell State and Positional Information
238(1)
9.4.3 Regeneration Process
238(2)
9.4.4 Importance of the Ordering in Development
240(1)
9.5 Experiment
241(2)
9.6 Relevance to Biology
243(8)
9.6.1 Summary
243(1)
9.6.2 Community Effect
244(2)
9.6.3 Induction and Plasticity
246(1)
9.6.4 Transformation of State Differentiation into Spatial Pattern
246(1)
9.6.5 Destabilization of Intracellular State and Regain of Plasticity: An Interpretation of Gastrulation
247(1)
9.6.6 Origin of Individuality
248(3)
9.7 Appendix: Model for Recursive Growth of Multicellular Organism
251(4)
10 Genetic Evolution with Phenotypic Fluctuations 255(26)
10.1 Question to Be Addressed
255(3)
10.2 Logic
258(5)
10.3 Model and Result of the Simulation
263(3)
10.4 Experiment
266(5)
10.5 Relevance to Biology
271(10)
10.5.1 Phenotype–Genotype Relationship at the Fluctuation Level
271(4)
10.5.2 Confirmation of the Relationship by the Model Presented in Sect. 10.3
275(2)
10.5.3 Biological Significance
277(4)
11 Speciation as a Fixation of Phenotypic Differentiation 281(34)
11.1 Question to Be Addressed
281(5)
11.2 Logic: Interaction-Based Speciation
286(2)
11.3 Model
288(2)
11.3.1 Basic Strategy
288(2)
11.4 Result
290(4)
11.4.1 Process for Genetic Diversification
290(4)
11.5 Further Remarks on the Differentiation Scenario
294(10)
11.5.1 Condition for Genetic Diversification
294(2)
11.5.2 Coevolution of Differentiated Groups
296(1)
11.5.3 Robust Speciation
296(1)
11.5.4 Deterministic Nature of Evolutionary Process
297(1)
11.5.5 Speciation: Reproductive Isolation Under Sexual Recombination
297(1)
11.5.6 Evolution of Mating Preference˛
298(3)
11.5.7 Formation of Allele—Allele Correlation
301(1)
11.5.8 Allopatric Speciation as a Result of Sympatric Speciation
302(2)
11.6 Constructive Experiment
304(4)
11.7 Relevance to Biology
308(7)
11.7.1 Tempo in the Evolution
308(1)
11.7.2 Decrease in the Phenotypic Plasticity
309(1)
11.7.3 Relevance of Developmental Plasticity to Speciation
309(1)
11.7.4 Unified Theory for Speciation in Sexual and Asexual (and Unicellular) Organisms
310(1)
11.7.5 Adaptive Radiation
311(1)
11.7.6 On the Interaction
311(1)
11.7.7 Allopatric Speciation
312(1)
11.7.8 Baldwin's Effect
312(1)
11.7.9 Reversing the Order
313(2)
12 Conclusion 315(34)
12.1 Summary
315(7)
12.1.1 Isologous Diversification — General Tendency Toward Differentiation from Identical Units Through Interaction
316(1)
12.1.2 Dynamic Consolidation — a Process Through which Plastic Differentiation is Fixed at a Separate Level with the Aid of Dynamic Interference Among Processes
317(2)
12.1.3 Itinerancy — Long-Term Change of Several Quasi-Steady States with Self-Organized Transition Rules
319(1)
12.1.4 Minority Control — the Tendency for Replicators with Minority Populations to Control the Behavior of the System
320(1)
12.1.5 The Universal Properties of Reproductive Systems
321(1)
12.2 Machine Versus Life Revisited
322(2)
12.3 Fluctuations, Response, and Stability
324(7)
12.4 The "Law" of Decreasing Plasticity in a Closed System
331(1)
12.5 The Restoration of Plasticity in an "Open" System
332(4)
12.6 A Theoretical Approach to Plasticity Dynamics
336(5)
12.7 Developmental Phenomenology: Stability, Irreversibility, Operations, Equation of State
341(4)
12.8 Toward an Understanding of the Dynamics of Cognition and Human Society
345(4)
References 349(16)
Index 365

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