QP Expression Benchtop Colony Picking System

QP Expression 台式菌落挑选系统

• 批准号: 7790495
• 负责人: Dara W. Frank
• 金额: $ 27.97万
• 依托单位: MEDICAL COLLEGE OF WISCONSIN
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-07-15 至 2011-07-14
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7790495
• 关键词: Antibodies; Bacteria; Cherry - dietary; Color; Complement; Complex; Computer software; DNA Probes; Destinations; Funding; Generations; Genetic Determinism; Genomics; Growth; Health; Human; Institutes; Institution; Libraries; Maps; Membrane; Mutagenesis; Oligonucleotides; Phenotype; Principal Investigator; Production; Property; Proteins; RNA Interference; Research Personnel; Research Support; Robot; Robotics; Sampling; Screening procedure; Shapes; Source; Students; System; Testing; United States National Institutes of Health; Universities; Virulence Factors; Walking; Water; Water Supply; Wisconsin; Yeasts; base; college; feeding; human disease; instrument; medical schools; programs; protein structure function; structural biology

DESCRIPTION (provided by applicant): The QP Expression is a robotic colony picking and library management system that allows automated manipulation of bacterial or yeast clones, and RNAi libraries. The attributes of this system include software and programming capabilities involved in the generation, management, and use of complex libraries. For example, this system can take up varying volumes of transformation mixes and spread each sample onto user-defined grids. After growth, the instrument can recognize and pick colonies based on user definitions of size, shape, color, and proximity to neighboring clones. The picked colonies can then be arrayed into additional plates for purification, and rearrayed into multiwell dishes for generation of strain stocks. Clones can also be replicated into additional multiwell dishes or onto membranes for a variety of analyses of phenotype, including growth properties, protein production, and recognition by antibody or DNA probes. Through each step, the system tracks the source and destination of each clone, and allows the user to simply load the machine, program the software, and walk away. Similarly, particular RNAi clones/oligo sets can be tested and rearrayed for secondary screening. The QP Expression robot will save weeks of tedious labor currently performed by students, fellows and staff. Importantly, the automated tracking and cherry- picking attributes minimizes error and accelerates secondary and tertiary screens. The QP Expression instrument will support eight investigators at the Medical College of Wisconsin, who are Principal Investigators on 25 NIH-funded projects involved in the generation, screening, and analyses of libraries. In addition, this instrument will support the research of two additional investigators at neighboring institutions: the Great Lakes Water Institute at the University of Wisconsin-Milwaukee, and Marquette University. Each of these projects is relevant to human health. Projects include but are not limited to, the identification of bacteria in various mammalian "biomes" and water supplies, the identification of bacterial virulence factors, and the use of genomic approaches to map genetic determinants relevant to a variety of human diseases. We anticipate that as the instrument comes on line, the number of users will increase and the types of applications will expand. For example, we can anticipate the investigators seeking to analyze the structure and function of proteins might want to apply random mutagenesis approaches and an automated screen. Further, as derivatives are identified and analyzed biologically, we anticipate feeding these directly into our structural biology core, which possesses automated systems for obtaining protein crystals. At present, there is no high-throughput instrument to facilitate progress on these diverse studies. The QP Expression system will complement existing systems on the College campus and facilitate the research supported by more than $8,274,000 in current NIH funding.

描述（由申请人提供）：QP Expression 是一种机器人菌落挑选和文库管理系统，允许自动操作细菌或酵母克隆以及 RNAi 文库。该系统的属性包括涉及复杂库的生成、管理和使用的软件和编程能力。例如，该系统可以采用不同体积的转换混合物，并将每个样本分布到用户定义的网格上。生长后，仪器可以根据用户定义的大小、形状、颜色以及与邻近克隆的接近程度来识别和挑选菌落。然后可以将挑选的菌落排列到额外的平板中进行纯化，并重新排列到多孔培养皿中以产生菌株储备。克隆还可以复制到额外的多孔培养皿或膜上，以进行各种表型分析，包括生长特性、蛋白质生产以及抗体或 DNA 探针的识别。通过每一步，系统都会跟踪每个克隆的来源和目的地，并允许用户简单地加载机器、对软件进行编程，然后离开。类似地，可以测试并重新排列特定的 RNAi 克隆/寡核苷酸集以进行二次筛选。 QP Expression 机器人将节省目前由学生、研究员和工作人员进行的数周的繁琐劳动。重要的是，自动跟踪和挑选属性最大限度地减少了错误并加速了二级和三级筛选。 QP Expression 仪器将为威斯康星医学院的 8 名研究人员提供支持，他们是 25 个 NIH 资助项目的首席研究员，涉及文库的生成、筛选和分析。此外，该仪器还将支持邻近机构的另外两名研究人员的研究：威斯康星大学密尔沃基分校五大湖水研究所和马凯特大学。这些项目中的每一个都与人类健康相关。项目包括但不限于鉴定各种哺乳动物“生物群落”和供水系统中的细菌，鉴定细菌毒力因子，以及使用基因组方法绘制与各种人类疾病相关的遗传决定因素。我们预计，随着仪器的上线，用户数量将会增加，应用类型也会扩大。例如，我们可以预见，寻求分析蛋白质结构和功能的研究人员可能希望应用随机诱变方法和自动筛选。此外，随着衍生物的生物学鉴定和分析，我们预计将它们直接输入我们的结构生物学核心，该核心拥有用于获取蛋白质晶体的自动化系统。目前，还没有高通量仪器来促进这些多样化研究的进展。 QP Expression 系统将补充学院校园内的现有系统，并促进由 NIH 当前超过 8,274,000 美元资金支持的研究。