InCell 6000 High Content Instrument for Cellular Systems Biology Program

描述：通用电气医疗保健，InCell 6000高含量分析（HCA）仪器被要求允许匹兹堡大学、匹兹堡大学医学中心和卡内基梅隆大学的研究人员分析固定细胞和活细胞、多细胞模型系统和研究生物（斑马鱼和秀丽线虫）中的复杂细胞过程。该仪器结合了高扫描速率共聚焦成像装置、环境室、4通道荧光、透射光和基于微板的系统中的车载流体添加。InCell 6000允许自动化、高通量和高时空分辨率的亚细胞结构和生化反应，这是所有细胞和组织功能的基础。长期目标是扩展我们目前从小样本获取高时间、空间和光谱图像的能力，以获取基于细胞、组织模型和实验动物的细胞群体的大型数据集。这种新的能力将允许应用计算和系统生物学工具来理解基于统计显著性的生命过程的复杂性，这在以前是不可能的。最好的生物实验系统、基于荧光的试剂和高通量、自动化成像的集成将使样品的大型组合治疗成为可能，从而可以在各种治疗领域探索统计相关的作用机制。美国国立卫生研究院资助的项目将使用该仪器包括人类脂肪细胞分化的研究

DESCRIPTION: The General Electric Healthcare, InCell 6000 High Content Analysis (HCA) instrument is being requested to allow investigators from the University of Pittsburgh, the University of Pittsburgh Medical Center and Carnegie Mellon University to analyze complex cellular processes in both fixed and living cells, multicellular model systems and research organisms (Zebra Fish and C. elegans). This high instrument combines a high scan-rate confocal imaging device, an environmental chamber, 4-channel fluorescence, transmitted light and on-board fluid addition in a microplate-based system. The InCell 6000 permits automated, high throughput and high temporal and spatial resolution of subcelluar structures and biochemical reactions that are the basis of all cellular and tissue functions. The long-term objective is to extend our present capabilities in acquiring high temporal, spatial and spectral images from a small sample size to the acquisition of large data sets from populations of cells on a cell-by-cell basis, tissue models and experimental animals. This new capability will permit the application of computational and systems biology tools to understand the complexities of life processes based on statistical significance not possible before. The integration of the best biological experimental systems, fluorescence-based reagents and high throughput, automated imaging will enable large, combinatorial treatments of samples to allow the exploration of statistically relevant mechanisms of action in a variety of therapeutic areas. The NIH funded projects that will use this instrument include investigations on human adipocyte differentiation in cancer, the physiology of stem cell derived cardiomyocytes, the heterogeneity of drug responses in head and neck cancer models, the role of the immune response in cancer therapies, live, 3D breast cancer models with the analysis of pathways, cell migration in tumor models, modulation of Huntington's Disease progression in model systems, protein misfolding disease model of alpha 1- antitrypsin deficiency (ATD), and necrotizing enterocolitis (NEC) models in C. elgans. In addition, a kidney regeneration model in Zebra fish to identify small molecules that stimulate stem cell proliferation, as well as the application of a new generation of genetically encoded biosensors, standards for imaging and flow cytometry and the further application of active machine learning optimization of experimental strategies. The application of this platform to fundamental biomedical research and translational research programs will ultimately lead to better success in drug discovery and development, while helping to define the mechanisms of normal and disease processes.