Open Access
1 May 2012 Tracking transcriptional activities with high-content epifluorescent imaging
Jianping Hua, Chao Sima, Milana Cypert, Gerald Gooden, Sonsoles Shack, Lalitamba Alla, Edward Smith, Jeffrey M. Trent, Edward R. Dougherty, Michael L. Bittner
Author Affiliations +
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.
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2012/$25.00 © 2012 SPIE
Jianping Hua, Chao Sima, Milana Cypert, Gerald Gooden, Sonsoles Shack, Lalitamba Alla, Edward Smith, Jeffrey M. Trent, Edward R. Dougherty, and Michael L. Bittner "Tracking transcriptional activities with high-content epifluorescent imaging," Journal of Biomedical Optics 17(4), 046008 (1 May 2012). https://doi.org/10.1117/1.JBO.17.4.046008
Published: 1 May 2012
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CITATIONS
Cited by 30 scholarly publications.
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KEYWORDS
Image processing

Image segmentation

Picosecond phenomena

Green fluorescent protein

Proteins

Fluorescent proteins

Video

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