Twigger Simon N, Nie Jeff, Ruotti Victor, Yu Jiaming, Chen Dan, Li Dawei, Mathis Jed, Narayanasamy Vijay, Gopinath Gopal R, Pasko Dean, Shimoyama Mary, De La Cruz Norberto, Bromberg Susan, Kwitek Anne E, Jacob Howard J, Tonellato Peter J
Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin 53226, USA.
Genome Res. 2004 Apr;14(4):651-60. doi: 10.1101/gr.1974504.
Integration of the large variety of genome maps from several organisms provides the mechanism by which physiological knowledge obtained in model systems such as the rat can be projected onto the human genome to further the research on human disease. The release of the rat genome sequence provides new information for studies using the rat model and is a key reference against which existing and new rat physiological results can be aligned. Previously, we described comparative maps of the rat, mouse, and human based on EST sequence comparisons combined with radiation hybrid maps. Here, we use new data and introduce the Integrated Genomics Environment, an extensive database of curated and integrated maps, markers, and physiological results. These results are integrated by using VCMapview, a java-based map integration and visualization tool. This unique environment allows researchers to relate results from cytogenetic, genetic, and radiation hybrid studies to the genome sequence and compare regions of interest between human, mouse, and rat. Integrating rat physiology with mouse genetics and clinical results from human by using the respective genomes provides a novel route to capitalize on comparative genomics and the strengths of model organism biology.
整合来自多种生物的大量基因组图谱，提供了一种机制，通过该机制，在诸如大鼠等模型系统中获得的生理学知识可以投射到人类基因组上，以推动人类疾病的研究。大鼠基因组序列的发布为使用大鼠模型的研究提供了新信息，并且是一个关键参考，现有和新的大鼠生理学结果都可以与之比对。此前，我们基于EST序列比较结合辐射杂种图谱描述了大鼠、小鼠和人类的比较图谱。在这里，我们使用新数据并引入了综合基因组学环境，这是一个经过整理和整合的图谱、标记和生理学结果的广泛数据库。这些结果通过使用VCMapview进行整合，VCMapview是一个基于Java的图谱整合和可视化工具。这个独特的环境使研究人员能够将细胞遗传学、遗传学和辐射杂种研究的结果与基因组序列相关联，并比较人类、小鼠和大鼠之间的感兴趣区域。通过使用各自的基因组将大鼠生理学与小鼠遗传学和人类临床结果相结合，提供了一条利用比较基因组学和模式生物生物学优势的新途径。
