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Redefinition of the human mast cell transcriptome by deep-CAGE sequencing

Overview of attention for article published in Blood, March 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
3 news outlets
twitter
3 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

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176 Dimensions

Readers on

mendeley
141 Mendeley
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Title
Redefinition of the human mast cell transcriptome by deep-CAGE sequencing
Published in
Blood, March 2014
DOI 10.1182/blood-2013-02-483792
Pubmed ID
Authors

Efthymios Motakis, Sven Guhl, Yuri Ishizu, Masayoshi Itoh, Hideya Kawaji, Michiel de Hoon, Timo Lassmann, Piero Carninci, Yoshihide Hayashizaki, Torsten Zuberbier, Alistair R.R. Forrest, Magda Babina, for the FANTOM consortium

Abstract

Mast cells (MCs) mature exclusively in peripheral tissues, hampering research into their developmental and functional programs. Here, we employed deep cap analysis of gene expression on skin-derived MCs to generate the most comprehensive view of the human MC transcriptome ever reported. An advantage is that MCs were embedded in the FANTOM5 project, giving the opportunity to contrast their molecular signature against a multitude of human samples. We demonstrate that MCs possess a unique and surprising transcriptional landscape, combining hematopoietic genes with those exclusively active in MCs and genes not previously reported as expressed by MCs (several of them markers of unrelated tissues). We also found functional bone morphogenetic protein receptors transducing activatory signals in MCs. Conversely, several immune-related genes frequently studied in MCs were not expressed or were weakly expressed. Comparing MCs ex vivo with cultured counterparts revealed profound changes in the MC transcriptome in in vitro surroundings. We also determined the promoter usage of MC-expressed genes and identified associated motifs active in the lineage. Befitting their uniqueness, MCs had no close relative in the hematopoietic network (also only distantly related with basophils). This rich data set reveals that our knowledge of human MCs is still limited, but with this resource, novel functional programs of MCs may soon be discovered.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 3 2%
United Kingdom 1 <1%
Italy 1 <1%
Unknown 136 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 40 28%
Student > Ph. D. Student 30 21%
Student > Master 11 8%
Professor > Associate Professor 9 6%
Other 8 6%
Other 25 18%
Unknown 18 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 46 33%
Medicine and Dentistry 22 16%
Immunology and Microbiology 21 15%
Biochemistry, Genetics and Molecular Biology 18 13%
Computer Science 3 2%
Other 10 7%
Unknown 21 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 09 April 2020.
All research outputs
#1,336,196
of 25,374,647 outputs
Outputs from Blood
#1,061
of 33,238 outputs
Outputs of similar age
#13,037
of 238,079 outputs
Outputs of similar age from Blood
#14
of 260 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 33,238 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 96% 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 238,079 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 94% of its contemporaries.
We're also able to compare this research output to 260 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.