Yarrow Justin C, Perlman Zachary E, Westwood Nicholas J, Mitchison Timothy J
Department of Systems Biology, Institute of Chemistry and Cell Biology, Harvard Medical School, Boston, MA 02115, USA.
BMC Biotechnol. 2004 Sep 9;4:21. doi: 10.1186/1472-6750-4-21.
Cell migration is a complex phenomenon that requires the coordination of numerous cellular processes. Investigation of cell migration and its underlying biology is of interest to basic scientists and those in search of therapeutics. Current migration assays for screening small molecules, siRNAs, or other perturbations are difficult to perform in parallel at the scale required to screen large libraries.
We have adapted the commonly used scratch wound healing assay of tissue-culture cell monolayers to a 384 well plate format. By mechanically scratching the cell substrate with a pin array, we are able to create characteristically sized wounds in all wells of a 384 well plate. Imaging of the healing wounds with an automated fluorescence microscope allows us to distinguish perturbations that affect cell migration, morphology, and division. Readout requires ~1 hr per plate but is high in information content i.e. high content. We compare readouts using different imaging technologies, automated microscopy, scanners and a fluorescence macroscope, and evaluate the trade-off between information content and data acquisition rate.
The adaptation of a wound healing assay to a 384 well format facilitates the study of aspects of cell migration, tissue reorganization, cell division, and other processes that underlie wound healing. This assay allows greater than 10,000 perturbations to be screened per day with a quantitative, high-content readout, and can also be used to characterize small numbers of perturbations in detail.
细胞迁移是一种复杂的现象,需要众多细胞过程的协调。基础科学家以及寻求治疗方法的人员都对细胞迁移及其潜在生物学机制的研究感兴趣。目前用于筛选小分子、小干扰RNA或其他干扰因素的迁移分析方法,难以按照筛选大型文库所需的规模并行进行。
我们已将组织培养细胞单层常用的划痕伤口愈合分析方法调整为适用于384孔板的形式。通过用针阵列机械刮擦细胞基质,我们能够在384孔板的所有孔中创建特征尺寸的伤口。使用自动荧光显微镜对愈合伤口进行成像,使我们能够区分影响细胞迁移、形态和分裂的干扰因素。每块板的读数需要约1小时,但信息含量高,即高内涵。我们比较了使用不同成像技术(自动显微镜、扫描仪和荧光宏观显微镜)的读数,并评估了信息含量和数据采集率之间的权衡。
将伤口愈合分析调整为384孔板形式有助于研究细胞迁移、组织重组、细胞分裂以及伤口愈合所涉及的其他过程。该分析方法每天能够筛选超过10000种干扰因素,并提供定量的高内涵读数,还可用于详细表征少量干扰因素。