Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research presents the most exciting molecular and recombinant DNA techniques used in the analysis of brain function and behavior, a critical piece of the puzzle for clinicians, scientists, course instructors and advanced undergraduate and graduate students. Chapters examine neuroinformatics, genetic and neurobehavioral databases and data mining, also providing an analysis of natural genetic variation and principles and applications of forward (mutagenesis) and reverse genetics (gene targeting). In addition, the book discusses gene expression and its role in brain function and behavior, along with ethical issues in the use of animals in genetics testing.
Written and edited by leading international experts, this book provides a clear presentation of the frontiers of basic research as well as translationally relevant techniques that are used by neurobehavioral geneticists.
1. Cover image - p. i 2. Title page - p. ii 3. Table of Contents - p. iii 4. Copyright - p. iv 5. Dedication - p. v 6. Contributors - p. xvii 7. Preface - p. xxiii 8. Acknowledgments - p. xxv 9. Why Should We Use Genetics in the Analysis of Brain Function and Behavior? Practical and Theoretical Considerations - p. xxvii 10. Section I. Neuroinformatics, Computational Models and Data Analysis - p. xxx 11. Chapter 1. Neurological Biomarkers and Neuroinformatics: The Role of The Virtual Brain - p. 3 12. Chapter 2. Informatics for Interoperability of Molecular-Genetic and Neurobehavioral Databases - p. 31 13. Chapter 3. The Allen Brain Atlas: Toward Understanding Brain Behavior and Function Through Data Acquisition, Visualization, Analysis, and Integration - p. 51 14. Chapter 4. ExAtlas: Online Tool to Integrate Gene Expression and Gene Set Enrichment Analyses - p. 73 15. Chapter 5. Computational Models: How Do They Help to Understand Neurologic Diseases? - p. 105 16. Chapter 6. The Use of Recombinant Inbred Strains in Systems Genetics and Functional Analyses in Behavioral Pharmacology - p. 133 17. Section II. Searching for New Genes: Natural Genetic Variation - p. 150 18. Chapter 7. Spontaneous Versus Induced Mutations: Conceptual and Methodological Considerations for the Neurobehavioral Geneticist - p. 153 19. Chapter 8. Reduced Complexity Cross Design for Behavioral Genetics - p. 165 20. Chapter 9. Collaborative Cross as the Next-Generation Mouse Genetic Reference Population Designed for Dissecting Complex Traits - p. 191 21. Chapter 10. Discovery of Novel Genes and Other Lineage-Specific Features Through Comparative Genomics - p. 225 22. Chapter 11. Using Signatures of Directional Selection to Guide Discovery - p. 243 23. Section III. Discovery of New Genes and New Functions of Genes Using Gene Expression Analyses - p. 263 24. Chapter 12. Using Transcriptomics to Study Behavior - p. 267 25. Chapter 13. Genes, Behavior, and Next-Generation Sequencing: The First 10 Years - p. 289 26. Chapter 14. Abnormal Social Behaviors and Dysfunction of Autism-Related Genes Associated With Daily Agonistic Interactions in Mice - p. 309 27. Chapter 15. Epigenetic Mechanisms of Learning and Memory - p. 345 28. Section IV. Discovery of Genes and Biological Mechanisms: Forward Genetics and Other Screening-Based Methods - p. 382 29. Chapter 16. Systematic Screens in Zebrafish Shed Light on Cellular and Molecular Mechanisms of Complex Brain Phenotypes - p. 385 30. Chapter 17. The Transition of Zebrafish Functional Genetics From Random Mutagenesis to Targeted Integration - p. 401 31. Section V. Manipulating Known Genes to Understand Biological Function: Reverse Genetics - p. 416 32. Chapter 18. Molecular Techniques Used to Explore Glutamate Receptors in Synaptic Plasticity and Memory - p. 419 33. Chapter 19. Using Herpes Simplex Virus Type 1-Based Amplicon Vectors for Neuroscience Research and Gene Therapy of Neurologic Diseases - p. 445 34. Chapter 20. Cre-lox Neurogenetics: History, Present, and Future - p. 479 35. Chapter 21. Functional Analysis of Proteins Involved in Neurodegeneration Using the Model Organism Dictyostelium: Alzheimer's, Huntington's, and Batten Disease - p. 491 36. Chapter 22. The Role of Human Endogenous Retroviruses (HERVs) in the Pathologies of the Nervous System - p. 519 37. Chapter 23. Optogenetics Dissection of Sleep Circuits and Functions - p. 535 38. Chapter 24. The Use of DREADDs for Dissecting the Contribution of Cellular and Neural Circuit Mechanisms in Models of Neurodegenerative Disease - p. 565 39. Section VI. Ethical Considerations - p. 596 40. Chapter 25. Genes and Human Behavior: Ethical Implications - p. 599 41. Chapter 26. Ethical Considerations for Animal Use in Behavioral and Neural Research - p. 623 42. Index - p. 643
Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research presents the most exciting molecular and recombinant DNA techniques used in the analysis of brain function and behavior, a critical piece of the puzzle for clinicians, scientists, course instructors and advanced undergraduate and graduate students. Chapters examine neuroinformatics, genetic and neurobehavioral databases and data mining, also providing an analysis of natural genetic variation and principles and applications of forward (mutagenesis) and reverse genetics (gene targeting). In addition, the book discusses gene expression and its role in brain function and behavior, along with ethical issues in the use of animals in genetics testing.
Written and edited by leading international experts, this book provides a clear presentation of the frontiers of basic research as well as translationally relevant techniques that are used by neurobehavioral geneticists.
1. Cover image - p. i 2. Title page - p. ii 3. Table of Contents - p. iii 4. Copyright - p. iv 5. Dedication - p. v 6. Contributors - p. xvii 7. Preface - p. xxiii 8. Acknowledgments - p. xxv 9. Why Should We Use Genetics in the Analysis of Brain Function and Behavior? Practical and Theoretical Considerations - p. xxvii 10. Section I. Neuroinformatics, Computational Models and Data Analysis - p. xxx 11. Chapter 1. Neurological Biomarkers and Neuroinformatics: The Role of The Virtual Brain - p. 3 12. Chapter 2. Informatics for Interoperability of Molecular-Genetic and Neurobehavioral Databases - p. 31 13. Chapter 3. The Allen Brain Atlas: Toward Understanding Brain Behavior and Function Through Data Acquisition, Visualization, Analysis, and Integration - p. 51 14. Chapter 4. ExAtlas: Online Tool to Integrate Gene Expression and Gene Set Enrichment Analyses - p. 73 15. Chapter 5. Computational Models: How Do They Help to Understand Neurologic Diseases? - p. 105 16. Chapter 6. The Use of Recombinant Inbred Strains in Systems Genetics and Functional Analyses in Behavioral Pharmacology - p. 133 17. Section II. Searching for New Genes: Natural Genetic Variation - p. 150 18. Chapter 7. Spontaneous Versus Induced Mutations: Conceptual and Methodological Considerations for the Neurobehavioral Geneticist - p. 153 19. Chapter 8. Reduced Complexity Cross Design for Behavioral Genetics - p. 165 20. Chapter 9. Collaborative Cross as the Next-Generation Mouse Genetic Reference Population Designed for Dissecting Complex Traits - p. 191 21. Chapter 10. Discovery of Novel Genes and Other Lineage-Specific Features Through Comparative Genomics - p. 225 22. Chapter 11. Using Signatures of Directional Selection to Guide Discovery - p. 243 23. Section III. Discovery of New Genes and New Functions of Genes Using Gene Expression Analyses - p. 263 24. Chapter 12. Using Transcriptomics to Study Behavior - p. 267 25. Chapter 13. Genes, Behavior, and Next-Generation Sequencing: The First 10 Years - p. 289 26. Chapter 14. Abnormal Social Behaviors and Dysfunction of Autism-Related Genes Associated With Daily Agonistic Interactions in Mice - p. 309 27. Chapter 15. Epigenetic Mechanisms of Learning and Memory - p. 345 28. Section IV. Discovery of Genes and Biological Mechanisms: Forward Genetics and Other Screening-Based Methods - p. 382 29. Chapter 16. Systematic Screens in Zebrafish Shed Light on Cellular and Molecular Mechanisms of Complex Brain Phenotypes - p. 385 30. Chapter 17. The Transition of Zebrafish Functional Genetics From Random Mutagenesis to Targeted Integration - p. 401 31. Section V. Manipulating Known Genes to Understand Biological Function: Reverse Genetics - p. 416 32. Chapter 18. Molecular Techniques Used to Explore Glutamate Receptors in Synaptic Plasticity and Memory - p. 419 33. Chapter 19. Using Herpes Simplex Virus Type 1-Based Amplicon Vectors for Neuroscience Research and Gene Therapy of Neurologic Diseases - p. 445 34. Chapter 20. Cre-lox Neurogenetics: History, Present, and Future - p. 479 35. Chapter 21. Functional Analysis of Proteins Involved in Neurodegeneration Using the Model Organism Dictyostelium: Alzheimer's, Huntington's, and Batten Disease - p. 491 36. Chapter 22. The Role of Human Endogenous Retroviruses (HERVs) in the Pathologies of the Nervous System - p. 519 37. Chapter 23. Optogenetics Dissection of Sleep Circuits and Functions - p. 535 38. Chapter 24. The Use of DREADDs for Dissecting the Contribution of Cellular and Neural Circuit Mechanisms in Models of Neurodegenerative Disease - p. 565 39. Section VI. Ethical Considerations - p. 596 40. Chapter 25. Genes and Human Behavior: Ethical Implications - p. 599 41. Chapter 26. Ethical Considerations for Animal Use in Behavioral and Neural Research - p. 623 42. Index - p. 643
