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Rapid evolution of binding specificities and expression patterns of inhibitory CD33‐related Siglecs in primates

Overview of attention for article published in FASEB Journal, December 2013
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
4 news outlets
wikipedia
2 Wikipedia pages

Readers on

mendeley
62 Mendeley
citeulike
1 CiteULike
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Article details
Title
Rapid evolution of binding specificities and expression patterns of inhibitory CD33‐related Siglecs in primates
Published in
FASEB Journal, December 2013
DOI 10.1096/fj.13-241497
Pubmed ID
Authors
Abstract

Siglecs are sialic acid-binding Ig-like lectins that recognize sialoglycans via amino-terminal V-set domains. CD33-related Siglecs (CD33rSiglecs) on innate immune cells recognize endogenous sialoglycans as "self-associated molecular patterns" (SAMPs), dampening immune responses via cytosolic immunoreceptor tyrosine-based inhibition motifs that recruit tyrosine phosphatases. However, sialic acid-expressing pathogens subvert this mechanism through molecular mimicry. Meanwhile, endogenous host SAMPs must continually evolve to evade other pathogens that exploit sialic acids as invasion targets. We hypothesized that these opposing selection forces have accelerated CD33rSiglec evolution. We address this by comparative analysis of major CD33rSiglec (Siglec-3, Siglec-5, and Siglec-9) orthologs in humans, chimpanzees, and baboons. Recombinant soluble molecules displaying ligand-binding domains show marked quantitative and qualitative interspecies differences in interactions with strains of the sialylated pathogen, group B Streptococcus, and with sialoglycans presented as gangliosides or in the form of sialoglycan microarrays, including variations such as N-glycolyl and O-acetyl groups. Primate Siglecs also show quantitative and qualitative intra- and interspecies variations in expression patterns on leukocytes, both in circulation and in tissues. Taken together our data explain why the CD33rSiglec-encoding gene cluster is undergoing rapid evolution via multiple mechanisms, driven by the need to maintain self-recognition by innate immune cells, while escaping 2 distinct mechanisms of pathogen subversion.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 62 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 %
United States 1 2%
United Kingdom 1 2%
Unknown 60 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 16 26%
Student > Ph. D. Student 9 15%
Student > Master 8 13%
Student > Bachelor 4 6%
Student > Doctoral Student 3 5%
Other 6 10%
Unknown 16 26%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 13 21%
Biochemistry, Genetics and Molecular Biology 11 18%
Immunology and Microbiology 5 8%
Neuroscience 5 8%
Medicine and Dentistry 4 6%
Other 6 10%
Unknown 18 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 27 June 2018.
All research outputs
#1,563,378
of 34,536,218 outputs
Outputs from FASEB Journal
#608
of 14,369 outputs
Outputs of similar age
#14,215
of 378,159 outputs
Outputs of similar age from FASEB Journal
#11
of 72 outputs
Altmetric has tracked 34,536,218 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,369 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has done particularly well, scoring higher than 95% of its peers.
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 378,159 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.