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A quantitative image cytometry technique for time series or population analyses of signaling networks.


ABSTRACT:

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.

SUBMITTER: Ozaki Y 

PROVIDER: S-EPMC2848603 | biostudies-literature | 2010 Apr

REPOSITORIES: biostudies-literature

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Publications

A quantitative image cytometry technique for time series or population analyses of signaling networks.

Ozaki Yu-ichi Y   Uda Shinsuke S   Saito Takeshi H TH   Chung Jaehoon J   Kubota Hiroyuki H   Kuroda Shinya S  

PloS one 20100401 4


<h4>Background</h4>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.<h4>Methodology/principal findings</h4>We developed a fully automatable assay technique, termed quantitative image cyt  ...[more]

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