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Journal of Biomedical Optics • Open Access

Tracking transcriptional activities with high-content epifluorescent imaging
Author(s): Jianping Hua; Chao Sima; Milana Cypert; Gerald Gooden; Sonsoles Shack; Lalitamba Alla; Edward Smith; Jeffrey M. Trent; Edward R. Dougherty; Michael L. Bittner

Paper Abstract

High-content cell imaging based on fluorescent protein reporters has recently been used to track the transcriptional activities of multiple genes under different external stimuli for extended periods. This technology enhances our ability to discover treatment-induced regulatory mechanisms, temporally order their onsets and recognize their relationships. To fully realize these possibilities and explore their potential in biological and pharmaceutical applications, we introduce a new data processing procedure to extract information about the dynamics of cell processes based on this technology. The proposed procedure contains two parts: (1) image processing, where the fluorescent images are processed to identify individual cells and allow their transcriptional activity levels to be quantified; and (2) data representation, where the extracted time course data are summarized and represented in a way that facilitates efficient evaluation. Experiments show that the proposed procedure achieves fast and robust image segmentation with sufficient accuracy. The extracted cellular dynamics are highly reproducible and sensitive enough to detect subtle activity differences and identify mechanisms responding to selected perturbations. This method should be able to help biologists identify the alterations of cellular mechanisms that allow drug candidates to change cell behavior and thereby improve the efficiency of drug discovery and treatment design.

Paper Details

Date Published: 1 May 2012
PDF: 16 pages
J. Biomed. Opt. 17(4) 046008 doi: 10.1117/1.JBO.17.4.046008
Published in: Journal of Biomedical Optics Volume 17, Issue 4
Show Author Affiliations
Jianping Hua, Translational Genomics Research Institute (United States)
Chao Sima, Translational Genomics Research Institute (United States)
Milana Cypert, Translational Genomics Research Institute (United States)
Gerald Gooden, Translational Genomics Research Institute (United States)
Sonsoles Shack, Translational Genomics Research Institute (United States)
Lalitamba Alla, Translational Genomics Research Institute (United States)
Edward Smith, Translational Genomics Research Institute (United States)
Jeffrey M. Trent, Translational Genomics Research Institute (United States)
Edward R. Dougherty, Translational Genomics Research Institute (United States)
Michael L. Bittner, Translational Genomics Research Institute (United States)


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