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Neonatal Colonisation Expands a Specific Intestinal Antigen-Presenting Cell Subset Prior to CD4 T-Cell Expansion, without Altering T-Cell Repertoire

Overview of attention for article published in PLOS ONE, March 2012
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Title
Neonatal Colonisation Expands a Specific Intestinal Antigen-Presenting Cell Subset Prior to CD4 T-Cell Expansion, without Altering T-Cell Repertoire
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0033707
Pubmed ID
Authors

Charlotte F. Inman, Georgina M. Laycock, Louisa Mitchard, Ross Harley, James Warwick, Rachel Burt, Pauline M. van Diemen, Mark Stevens, Mick Bailey

Abstract

Interactions between the early-life colonising intestinal microbiota and the developing immune system are critical in determining the nature of immune responses in later life. Studies in neonatal animals in which this interaction can be examined are central to understanding the mechanisms by which the microbiota impacts on immune development and to developing therapies based on manipulation of the microbiome. The inbred piglet model represents a system that is comparable to human neonates and allows for control of the impact of maternal factors. Here we show that colonisation with a defined microbiota produces expansion of mucosal plasma cells and of T-lymphocytes without altering the repertoire of alpha beta T-cells in the intestine. Importantly, this is preceded by microbially-induced expansion of a signal regulatory protein α-positive (SIRPα(+)) antigen-presenting cell subset, whilst SIRPα(-)CD11R1(+) antigen-presenting cells (APCs) are unaffected by colonisation. The central role of intestinal APCs in the induction and maintenance of mucosal immunity implicates SIRPα(+) antigen-presenting cells as orchestrators of early-life mucosal immune development.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Unknown 48 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 30%
Student > Ph. D. Student 10 20%
Other 6 12%
Student > Master 6 12%
Professor 5 10%
Other 5 10%
Unknown 3 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 60%
Medicine and Dentistry 6 12%
Immunology and Microbiology 4 8%
Biochemistry, Genetics and Molecular Biology 3 6%
Business, Management and Accounting 1 2%
Other 3 6%
Unknown 3 6%