Jain Shushant, Sondervan David, Rizzu Patrizia, Bochdanovits Zoltan, Caminada Daniel, Heutink Peter
VUMC-Clinical Genetics, Amsterdam, the Netherlands.
J Biomol Screen. 2011 Sep;16(8):932-9. doi: 10.1177/1087057111413920. Epub 2011 Jul 20.
Genomic approaches provide enormous amounts of raw data with regard to genetic variation, the diversity of RNA species, and protein complement. High-throughput (HT) and high-content (HC) cellular screens are ideally suited to contextualize the information gathered from other "omic" approaches into networks and can be used for the identification of therapeutic targets. Current methods used for HT-HC screens are laborious, time-consuming, and prone to human error. The authors thus developed an automated high-throughput system with an integrated fluorescent imager for HC screens called the AI.CELLHOST. The implementation of user-defined culturing and assay plate setup parameters allows parallel operation of multiple screens in diverse mammalian cell types. The authors demonstrate that such a system is able to successfully maintain different cell lines in culture for extended periods of time as well as significantly increasing throughput, accuracy, and reproducibility of HT and HC screens.
基因组学方法提供了大量关于基因变异、RNA种类多样性和蛋白质组的原始数据。高通量（HT）和高内涵（HC）细胞筛选非常适合将从其他“组学”方法收集的信息整合到网络中，并可用于识别治疗靶点。目前用于HT-HC筛选的方法既费力又耗时，而且容易出现人为误差。因此，作者开发了一种用于HC筛选的自动化高通量系统，该系统集成了荧光成像仪，称为AI.CELLHOST。用户定义的培养和检测板设置参数的实现允许在多种哺乳动物细胞类型中并行操作多个筛选。作者证明，这样的系统能够在培养中成功地长时间维持不同的细胞系，同时显著提高HT和HC筛选的通量、准确性和可重复性。
