A Genetic Analyzer for DNA Sequencing and DNA Fragment Analysis in the Basic Sciences at Georgetown University

乔治城大学基础科学中用于 DNA 测序和 DNA 片段分析的遗传分析仪

• 批准号: 0100061
• 负责人: Matthew Hamilton
• 金额: $ 10.73万
• 依托单位: Georgetown University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-01 至 2003-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0100061&HistoricalAwards=false
• 关键词: Genetic; Analyzer; DNA; Sequencing; Fragment

This award provides funds to aid in purchase of an automated DNA sequencer and related equipment and software needed for sample preparation and data analysis. Use of the instrumentation in research and training efforts will be shared by a large group of faculty, students and postdocs. Research areas to be addressed include regulation of surface proteins in various protozoa, gene-flow in tropical trees, yeast gene regulation and variability in flower color. Many research questions in biology now require use knowledge of genotypes as a basic unit of observation. These questions span diverse fields and include hypotheses related to protein structure and function, gene regulation, genome organization, relationships within and among species, spatial and temporal organization of genetic polymorphism and the exchange of gametes among populations or individuals. Automated approaches to DNA sequencing and fragment genotyping are faster and more accurate than the manual methods they replace, increasing the quantity and quality of data. In addition to use in research, the faculty plan to employ the instrument in hands-on laboratory exercises, now technically beyond their laboratory capabilities, for both undergraduate and graduate courses.

这项奖励提供资金，帮助购买自动DNA测序仪以及样品准备和数据分析所需的相关设备和软件。该仪器在研究和培训工作中的使用将由一大批教职员工、学生和博士后共享。要解决的研究领域包括各种原生动物表面蛋白的调节，热带树木的基因流动，酵母基因调节和花色的可变性。现在生物学中的许多研究问题都需要将基因分型知识作为观察的基本单位。这些问题跨越了不同的领域，包括与蛋白质结构和功能、基因调控、基因组组织、种内和种间关系、遗传多态的空间和时间组织以及群体或个体之间配子交换有关的假设。DNA测序和片段基因分型的自动化方法比它们所取代的人工方法更快、更准确，从而提高了数据的数量和质量。除了在研究中使用，教员们还计划在本科生和研究生课程中使用这种仪器进行动手实验室练习，目前从技术上讲，这些练习超出了他们的实验室能力。