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図書

図書
A. Malcolm Campbell, Laurie J. Heyer共著 ; 佐藤翻訳事務所訳
出版情報: 東京 : オーム社, 2004.6  xx, 410p ; 26cm
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2.

図書

図書
A. Malcolm Campbell, Laurie J. Heyer
出版情報: San Francisco : CSHL Press : Pearson/Benjamin Cummings, c2007  xv, 447 p. ; 28 cm
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目次情報: 続きを見る
Foreword
Preface
Acknowledgments
Genome Sequences / Unit 1:
What's Wrong with My Child? / Chapter 1:
First Patients / 1.1:
Clinical Presentation / Phase I:
Family Pedigree / Phase II:
Karyotyping and Linkage Analysis / Phase III:
DNA Sequence Analysis / Phase IV:
Summary 1.1
What Is an E-Value? / Math Minute 1.1:
The Next Steps in Understanding the Disease / 1.2:
The Need for an Animal Model System
What Was the Other Protein that Gave Lots of BLASTp Hits?
Does Utrophin Play a Role in Muscular Dystrophy, Too?
What Does Dystrophin Do?
What's Special about This Graph? / Math Minute 1.2:
Why Do DMD Patients' Muscles Deteriorate after the First Three Years?
Is It Possible to Have DMD and Be Wild-Type for Dystrophin?
How Can They Have Muscular Dystrophy if Their Dystrophin Genes Are Normal?
What Do You Mean by Highly Unlikely? / Math Minute 1.3:
Where Is the Muscular Dystrophy Field Now?
Sixth International Conference on Molecular Causes of Muscular Dystrophies
The Meeting Begins
Structural Weaknesses
Nonfunctional Mutations
New Paradigms: Nonstructural Causes for Muscular Dystrophies
Final Presentation
Is cGMP Production Elevated? / Math Minute 1.4:
Summary 1.2
Chapter 1 Conclusions
References
Genome Sequence Acquisition / Chapter 2:
How Are Genomes Sequenced? / 2.1:
What Is Genomics?
How Are Whole Genomes Sequenced?
How Are Organisms Picked for Genome Sequencing?
What Can You Learn from a Dot Plot? / Math Minute 2.1:
How Do You Find Motifs? / Math Minute 2.2:
Can We Predict Protein Functions from DNA Sequence?
What Are "Positives" and What Do They Have to Do with E-values? / Math Minute 2.3:
What Shapes Are the Proteins?
Does Structure Reveal Function?
Why Do the Databases Contain So Many Partial Sequences?
Which Sequencing Method Worked Better?
Annotated Genomes Online
How Many Proteins Can One Gene Make?
Can the Genome Alter Gene Expression Without Changing the DNA Sequence?
What Is the Fifth Base in DNA? Methyl-Cytosine
Imprinting, Methylation, and Cancer
Summary 2.1
What Have We Learned from Unicellular Genomes? / 2.2:
Why Do I Get So Many Pimples?
Which Genes Cause Pimples?
Are All Bacteria Living in Us Bad for Us?
Can Microbial Genomes Become Dependent upon Human Genes?
What Is the Minimum Number of Genes Possible?
Are All Viral Genomes Smaller than All Bacterial Genomes?
Is Mimivirus Alive?
Do Genomes Reflect an Organism's Ecological Niche?
Can You Estimate the Number of Inversions in a Dot Plot? / Math Minute 2.4:
Why Is MED4's Genome So Small?
How Many Genome Changes Are Required Before a New Species Is Created?
What Kind of Organism Causes Malaria?
What Sort of Genome Does Plasmodium Possess?
Is the Predicted Proteome Equally Bizarre?
Is There a Model Eukaryote Genome?
What Did the Investigators Predict for the Future of Genomics?
Epilog for the Yeast Genome
Summary 2.2
What Have We Learned from Metazoan Genomes? / 2.3:
Are Animal Genomes Harder to Finish?
What Are Polythene Chromosomes?
What Makes a Fly Different from Other Eukaryotes?
Is the Fly Still a Good Model Organism?
Fly Genome Epilog
Do We Need Two Plant Genome Sequences?
Plants Seem Simpler than Animals, but Are Their Genomes?
Can We Draw Any Conclusions from Draft Sequences?
What Lessons Have We Learned?
Rice Epilog
What Can We Possibly Learn from a Puffer Fish Genome?
Did the Genome Reveal Any Surprises?
Are There More Big Lessons from Tetraodon?
What Makes Humans Different?
How Do You Fit a Line to Data? / Math Minute 2.5:
Whose DNA Did We Sequence?
Can We Describe a Typical Human Gene?
Human Genome Epilog
What Is the Next Goal in Human Genomics?
Summary 2.3
Chapter 2 Conclusions
Comparative Genomics in Evolution and Medicine / Chapter 3:
Comparative Genomics / 3.1:
How Can E. coli Be Lethal and in Our Intestines at the Same Time?
How Can You Tell if Base Compositions Are Different? / Math Minute 3.1:
Two Hundred Genomes: What Can Comparative Genomics Tell Us about Prokaryotes?
Do All Prokaryotes Have One Circular Chromosome?
Are the Genomes Still Changing?
How Many Genomes Are There?
What Can We Learn by Comparing Many Whole Genomes?
What Can We See at the Chromosomal Perspective?
Summary 3.1
Evolution of Genomes / 3.2:
What Organism Is the Root of the Tree of Life?
What Are the Origins of our Nuclear Genes?
Are the Hit Numbers Significantly Different / Math Minute 3.2:
Is There Evidence of Intermediate Stages in Genomic Evolution?
Are You Going to Eat That?
A Missing Link of Biblical Proportions
Could Nuclei Evolve without Symbiosis?
Are We Related to Rats?
What Is the Origin of Our Species?
Are We All of African Descent?
How Do You Know if the Tree Is Correct? / Math Minute 3.3:
Have We Stopped Evolving?
Summary 3.2
Genomic Identifications / 3.3:
How Can We Identify Biological Weapons?
How Long Can DNA Survive?
How Did Tuberculosis Reach North America?
How Are Newly Emerging Diseases Identified?
What Other Outbreaks Are Coming?
Summary 3.3
Biomedical Genome Research / 3.4:
Can We Use Genomic Sequences to Make New Vaccines?
Can We Make New Types of Antibiotics?
Can We Invent a New Class of Medication?
Is There an Alternative Way to Inhibit RNAs?
Are There More Stable RNA Genomes We Can Target?
Summary 3.4
Chapter 3 Conclusions
Genomic Variations / Chapter 4:
Environmental Case Study / 4.1:
Can Genomic Diversity Affect Global Warming?
How Do You Measure Genetic Diversity? / Math Minute 4.1:
How Do You Model Population Diversity? / Math Minute 4.2:
Summary 4.1
Human Genomic Variation / 4.2:
How Much Variation Is in the Human Genome?
What's the Difference Between a Mutation and an Allele?
Why Should We Care about NSPs?
Are All SNPs Really SNPs? / Math Minute 4.3:
Do Any SNPs Produce Common Phenotypes?
Are There Vital SNPs That Can Surprise Me?
Patent Law and Genomics
Why the SNP Frenzy? Pharmacogenomics!
Summary 4.2
The Ultimate Genomic Phenotype-Death? / 4.3:
Why Do We Age?
Are There Hidden Costs for a Prolonged Life?
Do Bacteria Experience Genomic Tradeoffs Too?
Summary 4.3
Ethical Consequences of Genomic Variations / 4.4:
Are Genetically Modified Organisms Bad?
Is Genetic Testing Good?
What Does a Positive Test Result Really Mean? / Math Minute 4.4:
Genomic Diversity Banks and Small Populations
Who Benefits from Genomic Medicine?
Are There Simple Applications for Complex Genomes?
Should I Get a Genetic Test?
Should Humans Be Cloned?
Summary 4.4
Chapter 4 Conclusions
Genome Expression / Unit 2:
Why Can't I Just Take a Pill to Lose Weight? / Chapter 5:
Hungry for Knowledge
Saturday, 21 October. 7:30 A.M.
Library Opens at 8:30 A.M. on Saturdays
Building a Model for Weight Homeostasis
Cloning the Leptin Gene
Functional Tests for Leptin
Time to Visit Grandma
Grandma Gives You Homework!
Chapter 5 Conclusions
Basic Research with DNA Microarrays / Chapter 6:
Introduction to Microarrays / 6.1:
What Happened to My Home Brew?
Where's the Probe?
Microarray Data Look Good, but Are They Real?
How Do You Analyze These Data?
Why Should You Log-Transform Microarray Data? / Math Minute 6.1:
How Do You Measure Similarity between Expression Patterns? / Math Minute 6.2:
How Do You Cluster Genes? / Math Minute 6.3:
Can Chips Reveal Regulatory Sequences?
Can We Formulate Testable Predictions with These Data?
Microarrays Seem Too Good to Be True-Are They?
Why Did the Beer Blow?
What Can We Learn from Stressed-Out Yeast?
Do Fungi Feel Stress?
What Goes Up?
Why Are There So Many Copies of Some Genes but Not Others?
How Well Do Promoters Control Gene Expression?
Do Promoters Work in Reverse?
Summary 6.1
Alternative Uses of DNA Microarrays / 6.2:
Why Do So Many Unrelated Genes Share the Same Expression Profile?
Is It Useful to Compare the Columns of a Gene Expression Matrix? / Math Minute 6.4:
Can Cells Verify Their Own Genes?
Which Predicted Genes Are Real and Which Ones Aren't?
Can Microarrays Improve Annotations?
Could a Microarray Validate Annotation of an Entire Genome?
Summary 6.2
Chapter 6 Conclusions
Applied Research with DNA Microarrays / Chapter 7:
Cancer and Genomic Microarrays / 7.1:
Are There Better Ways to Diagnose Cancer?
What Are Signature Genes, and How Do You Use Them? / Math Minute 7.1:
Can Breast Cancer Be Categorized with Microarrays?
What Genomic Changes Occur in Cancer Cells?
Summary 7.1
Improving Health Care with DNA Microarrays / 7.2:
Why Is the Tuberculosis Vaccine Less Effective Now?
Can We Choose the Most Effective Medication for Each Cancer?
Can We Predict Effectiveness of Chemotherapy?
What Happens When You Accumulate Fat?
What Effect Does Leptin Have on wt Adipose Tissue?
Summary 7.2
Chapter 7 Conclusions
Proteomics / Chapter 8:
Introduction / 8.1:
What Do All These Proteins Do?
Where Are These Proteins Located?
Which Proteins Are Needed in Different Conditions?
How Do You Know if You Have Sampled Enough Cells? / Math Minute 8.1:
Summary 8.1
Protein 3D Structures / 8.2:
Does a Protein's Shape Reveal Its Function?
Can We Use Structures to Develop Better Drugs?
Can One Protein Kill You?
Summary 8.2
Protein Interaction Networks / 8.3:
Which Proteins Interact with Each Other?
Can Sequence Analysis Uncover Interactions?
Can We Detect Protein Interactions?
Is Sup35 a Central Protein in the Network? / Math Minute 8.2:
Is It Possible to Understand Proteome-Wide Interactions?
Summary 8.3
Measuring Proteins / 8.4:
Which Proteins Are Present?
What Are 2D Gels?
What Proteins Do Our White Blood Cells Need to Kill a Pathogen?
How Do You Identify Proteins on 2D Gels? / Math Minute 8.3:
How Much of Each Protein Is Present?
Can We Quantify Proteomes in Cultured Cells?
Can We Quantify Proteins in Any Cell?
Nice Idea, But Does ICAT Work?
Is the Last Unexplored Ecosystem on Earth Inside the Cell?
Can We Make Protein Microarrays?
Can Microarrays Detect Proteome Interactions?
Can Protein Microarrays Measure Kinase Activity?
Are All Cells Equal?
What Does a Proteome Produce?
Summary 8.4
Chapter 8 Conclusions
Whole Genome Perspective / Unit 3:
Why Can't We Cure More Diseases? / Chapter 9:
How Are New Medications Developed?
Location, Location, Location / Focus 1:
Delivery Vehicles / Focus 2:
Specificity / Focus 3:
What's the Right Dose? / Math Minute 9.1:
How Many Drugs Does It Take to Cure a Disease?
What Type of Drug Works Best?
Can Medication Do More than Simply Mask Symptoms?
Do We Know the Answers?
Chapter 9 Conclusions
Genomic Circuits in Single Genes / Chapter 10:
Dissecting a Gene's Circuitry / 10.1:
How Are Genes Regulated?
Molecular Dissection of Development
Expression of Endo16
How Does a Gene Control Location, Timing, and Quantity of Transcription?
Which Modules Control Location?
Why Do Modules F, E, and DC Promote Expression in the Wrong Cells?
How Does Lithium Affect Transcription?
What Controls the Timing of Endo16 Transcription?
Does Module G Have a Function?
Can We Draw a Transcription Circuit for Endo16?
What Makes Module A So Special?
How Do Module A-Binding Proteins Work?
Which Module A Sites Respond to Repression by Modules DC, E, and F?
How Does Module A Interact with the Basic Promoter?
Are Genes Hard-Wired?
Do Genes Contain Miniature Computer Programs?
How Do You Make a Computer Understand Gene Regulation? / Math Minute 10.1:
Summary 10.1
Integrating Single-Gene Circuits / 10.2:
How Can We Describe to Others What We Know About a Genome Circuit?
Does Interactivity Enhance Understanding?
Technical Hints
Summary 10.2
Chapter 10 Conclusions
Integrated Genomic Circuits / Chapter 11:
Natural Gene Circuits / 11.1:
Can Genes Form Toggle Switches and Make Choices?
How Do Toggle Switches Work?
What Effect Do Noise and Stochastic Behavior Have on a Cell?
How Are Stochastic Models Applied to Cellular Processes? / Math Minute 11.1:
Theory Is Nice, but Do Toggle Switches Really Exist?
How Can Multicellular Organisms Develop with Noisy Circuits?
Redundancy: Does Gene Duplication Really Increase Genome Reliability?
Does Memory Formation Require Toggle Switches?
Are Simple Models of Complex Circuits Worthwhile?
How Much Math Is Required to Model Memory?
How Do You Build Complex Models?
Can a Transient Stimulus Produce Persistent Kinase Activation?
Why Does 100 Minutes of 5 nM EGF Achieve Long-Term Activation?
Is It Possible to Predict Steady-State Behavior? / Math Minute 11.2:
Can the Modeled Circuit Accommodate Learning and Forgetting?
What Roles Do Other Integrated Circuits Play in LTP?
Do They Need a More Complex Model to Match Reality?
Are LTP and Long-Term Memory Related?
What Have We Learned (How Much LTP Have We Generated)?
Can We Understand Cancer Better by Visualizing Its Circuitry?
Summary 11.1
Synthetic Biology / 11.2:
Can Humans Engineer a Genetic Toggle Switch?
How to Build a Toggle Switch
Can We Build a Synthetic Oscillating Clock?
How Can You Visualize Gene Regulation Logic? / Math Minute 11.3:
Can Synthetic Devices Alter Gene Expression?
If Circuits Are Interconnected, Does Gene Order Matter?
Observational Approach
Computational Approach
Does Gene1 Have to Be First?
Summary 11.2
Chapter 11 Conclusions
Modeling Whole-Genome Circuits / Chapter 12:
Is Genomics a New Perspective? / 12.1:
The People Involved: Who Is Doing Systems Biology?
The Quality of the Message: What Questions Do Systems Biologists Ask?
Can We Model Entire Eukaryotes with a Systems Approach? / 12.2:
Does the Proteome Respond Like the Transcriptome?
Can We Build a Systems Model?
Context of the Message: What Is the Impact of this Research?
Will Systems Biology Go Systemic? / 12.3:
Chapter 12 Conclusions
Glossary
Credits
Index
Foreword
Preface
Acknowledgments
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