Bogue Molly A, Peters Luanne L, Paigen Beverly, Korstanje Ron, Yuan Rong, Ackert-Bicknell Cheryl, Grubb Stephen C, Churchill Gary A, Chesler Elissa J
The Jackson Laboratory Nathan Shock Center of Excellence in the Basic Biology of Aging, The Jackson Laboratory, Bar Harbor, Maine.
Southern Illinois University School of Medicine, Springfield.
J Gerontol A Biol Sci Med Sci. 2016 Feb;71(2):170-7. doi: 10.1093/gerona/glu223. Epub 2014 Dec 22.
Understanding the source of genetic variation in aging and using this variation to define the molecular mechanisms of healthy aging require deep and broad quantification of a host of physiological, morphological, and behavioral endpoints. The murine model is a powerful system in which to understand the relations across age-related phenotypes and to identify research models with variation in life span and health span. The Jackson Laboratory Nathan Shock Center of Excellence in the Basic Biology of Aging has performed broad characterization of aging in genetically diverse laboratory mice and has placed these data, along with data from several other major aging initiatives, into the interactive Mouse Phenome Database. The data may be accessed and analyzed by researchers interested in finding mouse models for specific aging processes, age-related health and disease states, and for genetic analysis of aging variation and trait covariation. We expect that by placing these data in the hands of the aging community that there will be (a) accelerated genetic analyses of aging processes, (b) discovery of genetic loci regulating life span, (c) identification of compelling correlations between life span and susceptibility for age-related disorders, and (d) discovery of concordant genomic loci influencing life span and aging phenotypes between mouse and humans.
要理解衰老过程中基因变异的来源，并利用这种变异来定义健康衰老的分子机制，就需要对一系列生理、形态和行为终点进行深入而广泛的量化。小鼠模型是一个强大的系统，可用于理解与年龄相关的表型之间的关系，并识别寿命和健康寿命存在差异的研究模型。杰克逊实验室的内森·肖克衰老基础生物学卓越中心，已对基因多样化的实验小鼠的衰老进行了广泛的特征描述，并将这些数据以及其他几个主要衰老研究项目的数据，纳入了交互式小鼠表型数据库。对寻找特定衰老过程、与年龄相关的健康和疾病状态的小鼠模型，以及对衰老变异和性状共变进行遗传分析感兴趣的研究人员，可以访问和分析这些数据。我们预计，将这些数据交到衰老研究领域的人手中，将会带来以下结果：（a）加速对衰老过程的遗传分析；（b）发现调控寿命的基因位点；（c）确定寿命与患年龄相关疾病易感性之间的显著相关性；（d）发现影响小鼠和人类寿命及衰老表型的一致基因组位点。
