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An efficient protocol for in vivo labeling of proliferating epithelial cells

Overview of attention for article published in Journal of Immunological Methods, March 2018
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Article details
Title
An efficient protocol for in vivo labeling of proliferating epithelial cells
Published in
Journal of Immunological Methods, March 2018
DOI 10.1016/j.jim.2018.03.015
Pubmed ID
Authors
Abstract

The study of organogenesis, tissue-homeostasis and regeneration requires the precise assessment of in vivo cell proliferation. To this end a host of methods have been developed to detect and quantify DNA synthesis in proliferating cells. These include cell labeling with various nucleotide analogues and fluorescence reporter-based animal models with each method presenting its idiosyncratic shortcomings. Quantitative assessment of epithelial cell turnover has been partly hampered due to their variable and limited in vivo accessibility and the requirement for harsher isolation procedures to procure single cells for FACS analysis. Here, we report a reliable protocol to study in vivo cell proliferation of epithelial cells in mice by repeatedly injecting EdU intravenously for an extended 12-day period. EdU incorporation was quantitated ex vivo by FACS after tissue dissociation in order to obtain single epithelial cell suspensions. As a lead population, we analyzed thymic epithelial cells (TECs), where we were able to label compartmentalized TEC subsets to saturation without apparent toxic effects on the thymus architecture or stress-sensitive TEC lineage differentiation. The data is in concordance with the prevailing model of mTEC terminal differentiation that includes the post-Aire stage. The same protocol was successfully applied to epithelial cells of various other organs - skin, lymph node, kidney and small intestine - tissues with widely varying frequencies and rates of proliferating epithelial cells.

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The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 4 21%
Researcher 4 21%
Other 1 5%
Student > Bachelor 1 5%
Student > Master 1 5%
Other 1 5%
Unknown 7 37%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 16%
Immunology and Microbiology 2 11%
Agricultural and Biological Sciences 1 5%
Computer Science 1 5%
Medicine and Dentistry 1 5%
Other 1 5%
Unknown 10 53%