Phenotyping of Mice Using Bioimaging

使用生物成像对小鼠进行表型分析

• 批准号: 7095155
• 负责人: Guo-Qiang ZHANG
• 金额: $ 16.81万
• 依托单位: CASE WESTERN RESERVE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-08-01 至 2009-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7095155
• 关键词: adipose tissue; bioimaging /biomedical imaging; bone development; bone imaging /visualization /scanning; computed axial tomography; computer data analysis; genetic models; image processing; laboratory mouse; morphometry; phenotype; statistics /biometry; technology /technique development

The goal is for the candidate to embark on a career transformation by acquiring critical knowledge and skills in biomedical sciences and become a productive and successful investigator in emerging biomedical areas with a unique set of expertises. One of the important components consists of projects in genetic phenotyping of small animals using in vivo bioimaging. The research will first tackle the technically easier problem of measuring and analyzing regional fat distribution in mice so as to identify potential subgroups with specific health problems; e.g., increased levels of visceral fat have been associated with insulin resistance, cardiovascular disease, and other metabolic syndromes. Building on this experience, the project will proceed to the identification of skeletal phenotypes using 3D micro-CT imaging. Not only will image segmentation be a challenge, a paradigm for extracting complex anatomical information will be created, as for example from a mouse skeleton, and clustering data into phenotypes for comparison with genotypes. This paradigm will set a standard and open new possibilities in deriving biomedical knowledge from mouse models.

目的是让候选人通过获得生物医学科学的批判知识和技能，并成为具有独特专业知识的新兴生物医学领域的富有成效和成功的研究者，从而开始进行职业转型。重要组成部分之一是使用体内生物成像的小动物遗传表型的项目组成。该研究将首先解决在技术上更容易的问题，即测量和分析小鼠的区域脂肪分布，以确定具有特定健康问题的潜在亚组；例如，内脏脂肪水平的增加与胰岛素抵抗，心血管疾病和其他代谢综合征有关。 在这种经验的基础上，该项目将使用3D Micro-CT成像来识别骨骼表型。图像分割不仅是一个挑战，还将创建用于提取复杂解剖信息的范式，例如从小鼠骨架中，将数据聚集到表型中，以与基因型进行比较。该范式将为从鼠标模型得出生物医学知识时设定标准和开放的新可能性。