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和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变换混合物，并将每个样本散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、颜色和与相邻克隆的接近度来识别和挑选菌落。然后可以将挑选的菌落排列到另外的板中用于纯化，并重新排列到多孔皿中用于产生菌株原种。克隆也可以复制到另外的多孔培养皿或膜上，用于各种表型分析，包括生长特性、蛋白质产生和抗体或DNA探针的识别。通过每一步，系统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，编程软件，然后离开。类似地，可以测试特定的RNAi克隆/寡核苷酸组并重新进行二次筛选。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繁琐劳动。重要的是，自动跟踪和樱桃采摘属性最大限度地减少错误，并加快二级和三级屏幕. QP Expression仪器将支持威斯康星州医学院的8名研究人员，他们是25个NIH资助项目的主要研究人员，这些项目涉及文库的生成、筛选和分析。此外，该仪器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的五大湖水研究所和马奎特大学。这些项目中的每一个都与人类健康有关。项目包括但不限于查明各种哺乳动物“生物群落”和供水中的细菌，查明细菌毒力因子，以及利用基因组方法绘制与各种人类疾病有关的遗传决定因素。我们预计，随着仪器上线，用户数量将增加，应用类型将扩大。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，随着衍生物的鉴定和生物学分析，我们预计将这些直接输入我们的结构生物学核心，该核心拥有用于获得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不同研究的进展。QP表达系统将补充校园内的现有系统，并促进目前NIH资助的超过8，274，000美元的研究。