高内容筛选:从大型图书馆到功能性点击High content screening: from large libraries to functional hits |
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课程网址: | http://videolectures.net/icgeb_braga_large_libraries/ |
主讲教师: | Luca Braga |
开课单位: | 国际遗传工程和生物技术中心 |
开课时间: | 2019-06-28 |
课程语种: | 英语 |
中文简介: | 基于图像的高内容筛选是一种强大的工具,可以系统地测量给定治疗后的细胞表型扰动。将这项技术与RNA干扰、CRISPR-Cas9和小分子技术相结合,产生了一种综合方法来破译并最终调节复杂的生物过程,例如细胞形态、细胞和增殖的变化。创新机器人、成像和计算系统的可用性使这成为可能,从而提高了分析的规模和速度。高含量荧光显微镜可以系统地评估多种生物标记物的表达和定位,这些标记物可以使用不同的波长同时成像。高内容图像与自动图像分析的集成允许跟踪多个物理和逻辑参数,从而生成任何生物过程的多维图像。我将描述几个基于图像的高内容筛选的例子,它使我们能够成功地从大量未知功能的分子集合开始识别功能点击。 |
课程简介: | Image-based high content screening is a powerful tool to gain systematic measurement of cell phenotype perturbation upon a given treatment. The combination of this technology with RNA interference, CRISPR-Cas9 and small molecules generates a comprehensive method to decipher and eventually tune complex biological processes, such as changes in cell morphology, cell and proliferation. This has been made possible by the availability of innovative robotics, imaging and computational systems, increasing the scale and the speed of the analysis. High content fluorescent microscopes allow to systematically assess the expression and the localization of multiple biomarkers, which can be imaged simultaneously using different wavelengths. The integration of high content imaging with automated image-analysis allows tracking multiple physical and logical parameters, thus generating a multi-dimensional picture of any biological process. I will describe several examples of image-based high content screenings, which allowed us to successfully identify functional hits starting from large collections of molecules of unknown function. |
关 键 词: | 高内容筛选; 数据科学; 从大型图书馆; 功能性点击; 高含量荧光显微镜; 基于图像的高内容筛选 |
课程来源: | 视频讲座网 |
数据采集: | 2022-10-14:cyh |
最后编审: | 2022-10-14:cyh |
阅读次数: | 34 |