A Quantitative Image Cytometry Technique for Time Series or Population Analyses of Signaling Networks
A Quantitative Image Cytometry Technique for Time Series or Population Analyses of Signaling Networks
复制标题
DOI:
10.1371/journal.pone.0009955
复制
发表时间:
2010-04-01
期刊:
影响因子:
3.7
通讯作者:
Kuroda, Shinya
中科院分区:
文献类型:
--
作者:
Ozaki, Yu-ichi;Uda, Shinsuke;Kuroda, Shinya
Background: Modeling of cellular functions on the basis of experimental observation is increasingly common in the field of cellular signaling. However, such modeling requires a large amount of quantitative data of signaling events with high spatio-temporal resolution. A novel technique which allows us to obtain such data is needed for systems biology of cellular signaling.Methodology/Principal Findings: We developed a fully automatable assay technique, termed quantitative image cytometry (QIC), which integrates a quantitative immunostaining technique and a high precision image-processing algorithm for cell identification. With the aid of an automated sample preparation system, this device can quantify protein expression, phosphorylation and localization with subcellular resolution at one-minute intervals. The signaling activities quantified by the assay system showed good correlation with, as well as comparable reproducibility to, western blot analysis. Taking advantage of the high spatio-temporal resolution, we investigated the signaling dynamics of the ERK pathway in PC12 cells.Conclusions/Significance: The QIC technique appears as a highly quantitative and versatile technique, which can be a convenient replacement for the most conventional techniques including western blot, flow cytometry and live cell imaging. Thus, the QIC technique can be a powerful tool for investigating the systems biology of cellular signaling.