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高内涵筛选在生命科学研究中的应用。

Applications of high content screening in life science research.

作者信息

Zock Joseph M

机构信息

Thermo Fisher Scientific, 100 Technology Dr, Pittsburgh, PA 15219, USA.

出版信息

Comb Chem High Throughput Screen. 2009 Nov;12(9):870-76. doi: 10.2174/138620709789383277.

DOI:10.2174/138620709789383277
PMID:19938341
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2841426/
Abstract

Over the last decade, imaging as a detection mode for cell based assays has opened a new world of opportunities to measure "phenotypic endpoints" in both current and developing biological models. These "high content" methods combine multiple measurements of cell physiology, whether it comes from sub-cellular compartments, multicellular structures, or model organisms. The resulting multifaceted data can be used to derive new insights into complex phenomena from cell differentiation to compound pharmacology and toxicity. Exploring the major application areas through review of the growing compendium of literature provides evidence that this technology is having a tangible impact on drug discovery and the life sciences.

摘要

在过去十年中,成像作为基于细胞检测的一种检测模式,为在当前和正在发展的生物学模型中测量“表型终点”开辟了一个全新的机遇世界。这些“高内涵”方法结合了对细胞生理学的多种测量,无论这些测量来自亚细胞区室、多细胞结构还是模式生物。由此产生的多方面数据可用于深入了解从细胞分化到化合物药理学和毒性等复杂现象。通过回顾不断增加的文献综述来探索主要应用领域,可以证明这项技术正在对药物发现和生命科学产生切实影响。

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本文引用的文献

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Functional genomics identifies ABCC3 as a mediator of taxane resistance in HER2-amplified breast cancer.功能基因组学确定ABCC3是HER2扩增型乳腺癌中紫杉烷耐药的一个介导因子。
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