Description
Humana Press Cardiovascular Genomics Methods and Protocols 1st Editon 2012 Softbound by Keith DiPetrillo
As two of the leading causes of death worldwide, heart disease and stroke represent a clear target for genomic research aimed at deciphering the genes and cellular pathways that underlie cardiovascular disease and creating improved therapies. In Cardiovascular Genomics: Methods and Protocols, experts in the field provide methods for cardiovascular phenotyping of rodent models in the first section of the volume and for statistical and bioinformatic integration of phenotype data with genome-wide genotype and expression data in the second section. Understanding these diverse methods will allow an individual laboratory to utilize these genomic methods independently or to better prepare for collaboration with scientists having expertise in other disciplines in order to uncover genes affecting cardiovascular disease. Written in the highly successful Methods in Molecular Biology™ series format, chapters include introductions to their respective topics, lists of the necessary equipment, materials, and reagents, step-by-step, readily reproducible laboratory protocols, and notes on troubleshooting and avoiding known pitfalls.Cutting-edge and easy-to-use, Cardiovascular Genomics: Methods and Protocols will enable researchers to identify causal genes and novel molecular targets that can lead to vital new treatments for cardiovascular disease. Modes of Defining Atherosclerosis in Mouse Models: Relative Merits and Evolving Standards.- Evaluating Micro- and Macro-vascular Disease, the End Stage of Atherosclerosis, in Rat Models.- Non-invasive Blood Pressure Measurement in Mice.- Direct Blood Pressure Monitoring in Laboratory Rodents via Implantable Radio Telemetry.- Measuring Kidney Function in Conscious Mice.- Ischemic Stroke in Mice and Rats.- Mouse Surgical Models in Cardiovascular Research.- Echocardiographic Examination in Rats and Mice.- QTL Mapping in Intercross and Backcross Populations.- Quantitative Trait Locus Analysis Using J/qtl.- Computing Genetic Imprinting Expressed by Haplotypes.- Haplotype Association Mapping in Mice.- Candidate Gene Association Analysis.- Genome-Wide Association Study in Humans.- Bioinformatics Analysis of Microarray Data.- eQTL Analysis in Mice and Rats.- eQTL Analysis in Humans.- A Systematic Strategy for the Discovery of Candidate Genes Responsible for Phenotypic Variation.