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Airway Epithelial Cells Condition Dendritic Cells to Express Multiple Immune Surveillance Genes

Overview of attention for article published in PLOS ONE, September 2012
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Title
Airway Epithelial Cells Condition Dendritic Cells to Express Multiple Immune Surveillance Genes
Published in
PLOS ONE, September 2012
DOI 10.1371/journal.pone.0044941
Pubmed ID
Authors

Angela Rate, Anthony Bosco, Kathy L. McKenna, Patrick G. Holt, John W. Upham

Abstract

Increasing evidence suggests that crosstalk between airway epithelial cells (AEC) and adjacent dendritic cells (DC) tightly regulates airway mucosal DC function in steady state. AEC are known to express multiple immuno-modulatory factors, though detailed information on how this influences human DC function remains incomplete. We recently demonstrated using an in vitro coculture model that AEC alter differentiation of monocytes into DC in a manner that inhibits expression of potentially damaging Th2 effector function. In the current study, we have extended these findings to examine other aspects of DC function. Using micro-array technology we show that multiple genes important for immune surveillance are significantly over expressed in purified AEC-conditioned DC, compared to control DC. These findings were confirmed by quantitative real time PCR or flow cytometry in an independent sample set. In particular, AEC-conditioned DC showed selective upregulation of chemokines that recruit Th1 cells, but minimal change in chemokines linked to Th2 cell recruitment. AEC-conditioned DC were also characterized by enhanced expression of complement family genes (C1QB, C2, CD59 and SERPING1), Fcγ receptor genes (FCGR1A, FCGR2A, FCGR2B and FCGR2C), signaling lymphocytic activation molecule family member 1 (SLAM), programmed death ligands 1 and 2, CD54 and CD200R1, relative to control DC. These findings suggest that AEC conditioning facilitates the capacity of DC to react to danger signals, to enhance leukocyte recruitment, especially of Th1 effector cells, and to interact with other immune cell populations while minimizing the risks of excessive inflammation leading to tissue damage.

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The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Switzerland 1 3%
Unknown 32 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 35%
Student > Ph. D. Student 8 24%
Student > Master 3 9%
Professor 3 9%
Other 1 3%
Other 2 6%
Unknown 5 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 35%
Immunology and Microbiology 7 21%
Medicine and Dentistry 5 15%
Biochemistry, Genetics and Molecular Biology 2 6%
Computer Science 1 3%
Other 1 3%
Unknown 6 18%