International Mammalian Genome Society

17th International Mouse Genome Conference

9-12 November 2003, Braunschweig, Germany

Plenary Presentations * Oral Presentations *
Poster Presentations: Behavioural Genetics and Genomics * Development and Stem Cells * Functional Genome Analysis * Mouse Models of Human Disease * Mouse System Biology Bioinformatics * Multigenic and Multifactorial Trait Analysis * Nutrition and Metabolic Disease * Phenotyping Methods Imaging * The Genetics and Genomics of Infectious Disease *
Verne Chapman Memorial Lecture * Table of Contents * Sponsor/Exhibitor List * Awards * Photographs

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ORAL PRESENTATION

TUESDAY 11 NOVEMBER
15:45 – 16:00 HRS

HIGH-THROUGHPUT, NON-INVASIVE PROTOCOLS PROVIDE RELIABLE METHODS FOR EVALUATING HEART, LUNG AND SLEEP FUNCTION IN MICE

Svenson K L
The Jackson Laboratory

Co-Authors: 2) Galante R, Pack A I, 3) Walker J K, Schwartz D A, 1) Barker J E, Peters L L
Institutions: 1) The Jackson Laboratory, 2) University of Pennsylvania, 3) Duke University

Given the recent availability of annotated mouse and human genome sequences, there is renewed interest in obtaining comprehensive phenotypic information from animal models. Classical physiologic analyses as well as newly developed strategies for measuring phenotypic traits in rodents are being implemented in a broad spectrum of research areas in an effort to describe both normal and aberrant health status. Using these data, it is plausible to link phenotype to gene function in an effort to better understand the genetics underlying human disease. The Center for New Mouse Models of Heart, Lung, Blood and Sleep Disorders at The Jackson Laboratory is conducting high-throughput, non-invasive phenotyping of (1) 40 inbred mouse strains and (2) ENU-generated mutant mice through the NHLBI-funded Programs for Genomic Applications. As part of this effort, we are developing novel approaches for conducting high-throughput primary, non-invasive assessment of phenotypes relevant to heart, lung, blood and sleep function in mice. We will present methodology, validation, and models identified thus far in our screens for (1) lung function by whole-body plethysmography validated with airway pressure time interval analysis; (2) cardiac function using echocardiography and unanesthetized electrocardiography; and (3) sleep function using metabolic cages with a novel algorithm for determining sleep and wakefulness. These methods combine both new and previously used procedures which, when combined, allow reliable and reproducible evaluation of phenotypes describing human disease.