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Subcapsular Sinus Macrophage Fragmentation and CD169+ Bleb Acquisition by Closely Associated IL-17-Committed Innate-Like Lymphocytes

Overview of attention for article published in PLOS ONE, June 2012
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Title
Subcapsular Sinus Macrophage Fragmentation and CD169+ Bleb Acquisition by Closely Associated IL-17-Committed Innate-Like Lymphocytes
Published in
PLOS ONE, June 2012
DOI 10.1371/journal.pone.0038258
Pubmed ID
Authors

Elizabeth E. Gray, Sherree Friend, Kazuhiro Suzuki, Tri Giang Phan, Jason G. Cyster

Abstract

Subcapsular sinus macrophages (SSMs) in lymph nodes are rapidly exposed to antigens arriving in afferent lymph and have a role in their capture and display to B cells. In tissue sections SSMs exhibit long cellular processes and express high amounts of CD169. Here, we show that many of the cells present in lymph node cell suspensions that stain for CD169 are not macrophages but lymphocytes that have acquired SSM-derived membrane blebs. The CD169 bleb(+) lymphocytes are enriched for IL-17 committed IL-7Rα(hi)CCR6(+) T cells and NK cells. In addition, the CD169 staining detected on small numbers of CD11c(hi) dendritic cells is frequently associated with membrane blebs. Counter intuitively the CD169 bleb(+) lymphocytes are mostly CD4 and CD8 negative whereas many SSMs express CD4. In situ, many IL-7Rα(hi) cells are present at the subcapsular sinus and interfollicular regions and migrate in close association with CD169(+) macrophages. These findings suggest SSMs undergo fragmentation during tissue preparation and release blebs that are acquired by closely associated cells. They also suggest an intimate crosstalk between SSMs and IL-17 committed innate-like lymphocytes that may help provide early protection of the lymph node against lymph-borne invaders.

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The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
France 1 <1%
New Zealand 1 <1%
Belgium 1 <1%
United States 1 <1%
Unknown 99 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 36%
Researcher 19 18%
Student > Master 11 11%
Professor > Associate Professor 6 6%
Professor 5 5%
Other 14 13%
Unknown 12 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 37%
Immunology and Microbiology 24 23%
Medicine and Dentistry 14 13%
Biochemistry, Genetics and Molecular Biology 8 8%
Engineering 2 2%
Other 3 3%
Unknown 15 14%