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Induction of Th17 cell differentiation by B-1 cells

Overview of attention for article published in Frontiers in immunology, January 2012
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Title
Induction of Th17 cell differentiation by B-1 cells
Published in
Frontiers in immunology, January 2012
DOI 10.3389/fimmu.2012.00281
Pubmed ID
Authors

Yi Wang, Thomas L. Rothstein

Abstract

B-1 cells constitute a unique B cell population with distinct ontogenic, phenotypic, and functional characteristics. Naïve, unmanipulated B-1 cells induce differentiation of CD4(+) T cells to become pro-inflammatory Th17 cells whereas naïve B-2 cells do not. We examined the role of distinctly expressed surface membrane molecules in providing B-1 cells with Th17-differentiating function. Neither Mac-1, CD25, PD-L2 nor CD73 appeared to contribute to B-1 cell induction of Th17 differentiation. In contrast, we found that CD44 and CD86 are involved on the basis of studies with neutralizing antibodies and knock-out mice. Activation imparted to naïve B-2 cells the ability to induce Th17 differentiation and this was similarly partially interrupted by interfering with CD44 and CD86. Our findings suggest that CD44-OPN and B7 family members play important roles in the induction of Th17 cell differentiation by B cells.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 2%
Unknown 47 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 27%
Student > Master 8 17%
Researcher 7 15%
Student > Doctoral Student 5 10%
Student > Postgraduate 3 6%
Other 6 13%
Unknown 6 13%
Readers by discipline Count As %
Immunology and Microbiology 17 35%
Agricultural and Biological Sciences 13 27%
Medicine and Dentistry 6 13%
Unspecified 1 2%
Arts and Humanities 1 2%
Other 2 4%
Unknown 8 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 September 2012.
All research outputs
#22,760,732
of 25,374,917 outputs
Outputs from Frontiers in immunology
#27,422
of 31,520 outputs
Outputs of similar age
#228,483
of 250,099 outputs
Outputs of similar age from Frontiers in immunology
#161
of 275 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,520 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 250,099 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 275 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.