Stroke Genomics : Methods and Reviews

Stroke Genomics : Methods and Reviews

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  • 製本 Hardcover:ハードカバー版/ページ数 360 p.
  • 言語 ENG
  • 商品コード 9781592598366
  • DDC分類 616.81042

Full Description

This book provides the investigator with an overview of clinical and preclinical studies of stoke genomics. The authors relate gene expression changes to physiological endpoints such as functional imaging paradigms, thus showing how molecular biology interacts with stoke pathophysiology. The techniques will enable scientists to become experts at using molecular biology in the study of stroke, and the scientists will be able to employ these practical techniques without discourse to other texts. This book is an essential reference for all investigators of stroke and other neurological disorders.

Contents

Part I. Introduction; Introduction to Stroke Genomics; Simon J. Read and Frank C. Barone; Part II. Preclinical Models and Gene Manipulation; Choice, Methodology, and Characterization of Ischemic Stroke Models: The Search for Clinical Relevance; David Virley; Mutant Animal Models of Stroke and Gene Expression: The Spontaneously Hypertensive Stroke Prone Rat; H. V. O. Carswell, M. W. McBride, D. Graham, A. F. Dominiczak, and I. M. Macrae; Gene Therapy in Neurological Disease; Midori A. Yenari and Robert M. Sapolsky; Stem Cell Transplantation After Middle Cerebral Artery Occlusion; Paul Stroemer and Helen Hodges; Endogenous Brain Protection: Models, Gene Expression, and Mechanisms; Frank C. Barone; Production of Transgenic and Mutant Mouse Models; Alex Harper; 3-Nitropropionic Acid Model of Metabolic Stress: Assessment by Magnetic Resonance Imaging; Toby John Roberts; Part III. Clinical Paradigms; Practicalities of Genetic Studies in Human Stroke; Ahmad Hassan and Hugh S. Markus; Evaluation of the Interactions of Common Genetic Mutations in Stroke; Zoltan Szolnoki; Part IV. Assessing Differential Expression; Technologies of Disease-Related Gene Discovery Using Preclinical Models of Stroke; Xinkang Wang; Quantitative Analysis of Gene Transcription in Stroke Models Using Real-Time RT-PCR; David C. Harrison and Brian C. Bond; Effective Analysis of Gene Expression Data; Paul R. Nelson, Andrew B. Goulter, and Richard J. Davis; Bioinformatic Approaches to Assigning Protein Function from Novel Sequence Data; David Michalovich and Richard Fagan; Pragmatic Target Discovery: From Novel Gene to Functionally Defined Drug Target-The Interleukin-1 Story

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