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Imaging the Impact of Chemically Inducible Proteins on Cellular Dynamics In Vivo

Overview of attention for article published in PLOS ONE, January 2012
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Title
Imaging the Impact of Chemically Inducible Proteins on Cellular Dynamics In Vivo
Published in
PLOS ONE, January 2012
DOI 10.1371/journal.pone.0030177
Pubmed ID
Authors

Hon S. Leong, Michael M. Lizardo, Amber Ablack, Victor A. McPherson, Thomas J. Wandless, Ann F. Chambers, John D. Lewis

Abstract

The analysis of dynamic events in the tumor microenvironment during cancer progression is limited by the complexity of current in vivo imaging models. This is coupled with an inability to rapidly modulate and visualize protein activity in real time and to understand the consequence of these perturbations in vivo. We developed an intravital imaging approach that allows the rapid induction and subsequent depletion of target protein levels within human cancer xenografts while assessing the impact on cell behavior and morphology in real time. A conditionally stabilized fluorescent E-cadherin chimera was expressed in metastatic breast cancer cells, and the impact of E-cadherin induction and depletion was visualized using real-time confocal microscopy in a xenograft avian embryo model. We demonstrate the assessment of protein localization, cell morphology and migration in cells undergoing epithelial-mesenchymal and mesenchymal-epithelial transitions in breast tumors. This technique allows for precise control over protein activity in vivo while permitting the temporal analysis of dynamic biophysical parameters.

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Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Canada 1 3%
Unknown 34 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 31%
Student > Ph. D. Student 10 28%
Student > Master 4 11%
Student > Bachelor 2 6%
Other 1 3%
Other 3 8%
Unknown 5 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 42%
Medicine and Dentistry 5 14%
Biochemistry, Genetics and Molecular Biology 4 11%
Chemistry 2 6%
Psychology 1 3%
Other 2 6%
Unknown 7 19%