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基于成像的检测方法在微孔板形式的高内涵筛选中的应用。

Application of Imaging-Based Assays in Microplate Formats for High-Content Screening.

作者信息

Fogel Adam I, Martin Scott E, Hasson Samuel A

机构信息

Biogen, Cambridge, MA, 02142, USA.

Department of Discovery Oncology Genentech Inc., South San Francisco, CA, 94080, USA.

出版信息

Methods Mol Biol. 2016;1439:273-304. doi: 10.1007/978-1-4939-3673-1_18.

Abstract

The use of multiparametric microscopy-based screens with automated analysis has enabled the large-scale study of biological phenomena that are currently not measurable by any other method. Collectively referred to as high-content screening (HCS), or high-content analysis (HCA), these methods rely on an expanding array of imaging hardware and software automation. Coupled with an ever-growing amount of diverse chemical matter and functional genomic tools, HCS has helped open the door to a new frontier of understanding cell biology through phenotype-driven screening. With the ability to interrogate biology on a cell-by-cell basis in highly parallel microplate-based platforms, the utility of HCS continues to grow as advancements are made in acquisition speed, model system complexity, data management, and analysis systems. This chapter uses an example of screening for genetic factors regulating mitochondrial quality control to exemplify the practical considerations in developing and executing high-content campaigns.

摘要

使用基于多参数显微镜的筛选方法并结合自动分析,能够对目前无法通过任何其他方法测量的生物现象进行大规模研究。这些方法统称为高内涵筛选(HCS)或高内涵分析(HCA),它们依赖于不断扩展的成像硬件和软件自动化技术。再加上日益增多的各种化学物质和功能基因组工具,HCS通过表型驱动的筛选方法,为理解细胞生物学开启了一个新的前沿领域。由于能够在基于微孔板的高度并行平台上逐个细胞地研究生物学问题,随着采集速度、模型系统复杂性、数据管理和分析系统的不断进步,HCS的实用性也在持续增长。本章以筛选调节线粒体质量控制的遗传因素为例,阐述开展和执行高内涵研究活动时的实际注意事项。

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