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An Interactive Volumetric Atlas of the Mouse Brain

小鼠大脑的交互式体积图谱

基本信息

批准号：
7771686
负责人：
James Paul Carson
金额：
$ 19.69万
依托单位：
BATTELLE PACIFIC NORTHWEST LABORATORIES
依托单位国家：
美国
项目类别：
财政年份：
2009
资助国家：
美国
起止时间：
2009-03-01 至 2011-11-30
项目状态：
已结题

项目摘要

DESCRIPTION (provided by applicant): A growing challenge currently faced by the biomedical community is to gain functional insights into the genomics of the nervous system in sufficient detail to understand human disease, derive novel therapies, and discover new drugs. Discovering changes in gene activity in localized cell populations of the brain under different experimental conditions can significantly expand the knowledge of how gene products interact as well as how they affect biological processes and human disease. One approach to assess changes in spatial gene expression is to register the datasets into a common domain - an atlas - in which experimental alterations can be assessed systematically. Increasing the accuracy of registration enables comparisons between even smaller functional features. The goal of this project is to develop a novel 3D atlas of the mouse brain and corresponding informatics tools that will lead to more powerful comparisons of gene expression image datasets. The specific aims are: 1. Develop multimaterial volumetric subdivision mesh technology and construct a deformable adaptive resolution 3D atlas of the adult mouse brain. 2. Achieve interactive registration of the 3D atlas to volumetric datasets and validate accuracy of registration. 3. Assess the comparison capabilities of the 3D atlas using a set of experimental data collected to better understand the molecular mechanisms of the human genetic disorder Rett Syndrome. PUBLIC HEALTH RELEVANCE: This project will develop new software tools that will enable researchers to better understand the biological processes underlying human development and human diseases, potentially leading to new therapies. These tools include a new technique for digitally representing volume-based information that can improve comparisons between sets of data, a method for placing large-scale image data of gene activity in the mouse brain into this new representation, and the means to perform comparisons of this data at high resolution.

描述（由申请人提供）：生物医学界目前面临的一个日益增长的挑战是获得足够详细的神经系统基因组学的功能性见解，以了解人类疾病，获得新的治疗方法，并发现新的药物。在不同的实验条件下发现大脑局部细胞群中基因活性的变化可以显着扩展基因产物如何相互作用以及它们如何影响生物过程和人类疾病的知识。评估空间基因表达变化的一种方法是将数据集注册到一个公共域（图谱）中，在其中可以系统地评估实验改变。提高配准的准确性使得能够在更小的功能特征之间进行比较。该项目的目标是开发一种新的小鼠大脑3D图谱和相应的信息学工具，这将导致更强大的基因表达图像数据集的比较。具体目标是：1. 发展多材料体积细分网格技术，构建成年小鼠脑的可变形自适应分辨率三维图谱。 2. 实现3D图谱与体积数据集的交互式配准，并验证配准的准确性。 3. 使用收集的一组实验数据评估3D图谱的比较能力，以更好地了解人类遗传性疾病Rett综合征的分子机制。公共卫生关系：该项目将开发新的软件工具，使研究人员能够更好地了解人类发育和人类疾病的生物学过程，从而可能导致新的治疗方法。这些工具包括一种新的技术，用于数字化表示基于体积的信息，可以改善数据集之间的比较，一种方法，用于将小鼠大脑中基因活性的大规模图像数据放入这种新的表示中，以及以高分辨率对这些数据进行比较的方法。