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Biased Allelic Expression in Human Primary Fibroblast Single Cells

Overview of attention for article published in American Journal of Human Genetics, December 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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2 Facebook pages

Citations

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116 Dimensions

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189 Mendeley
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3 CiteULike
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Title
Biased Allelic Expression in Human Primary Fibroblast Single Cells
Published in
American Journal of Human Genetics, December 2014
DOI 10.1016/j.ajhg.2014.12.001
Pubmed ID
Authors

Christelle Borel, Pedro G. Ferreira, Federico Santoni, Olivier Delaneau, Alexandre Fort, Konstantin Y. Popadin, Marco Garieri, Emilie Falconnet, Pascale Ribaux, Michel Guipponi, Ismael Padioleau, Piero Carninci, Emmanouil T. Dermitzakis, Stylianos E. Antonarakis

Abstract

The study of gene expression in mammalian single cells via genomic technologies now provides the possibility to investigate the patterns of allelic gene expression. We used single-cell RNA sequencing to detect the allele-specific mRNA level in 203 single human primary fibroblasts over 133,633 unique heterozygous single-nucleotide variants (hetSNVs). We observed that at the snapshot of analyses, each cell contained mostly transcripts from one allele from the majority of genes; indeed, 76.4% of the hetSNVs displayed stochastic monoallelic expression in single cells. Remarkably, adjacent hetSNVs exhibited a haplotype-consistent allelic ratio; in contrast, distant sites located in two different genes were independent of the haplotype structure. Moreover, the allele-specific expression in single cells correlated with the abundance of the cellular transcript. We observed that genes expressing both alleles in the majority of the single cells at a given time point were rare and enriched with highly expressed genes. The relative abundance of each allele in a cell was controlled by some regulatory mechanisms given that we observed related single-cell allelic profiles according to genes. Overall, these results have direct implications in cellular phenotypic variability.

X Demographics

X Demographics

The data shown below were collected from the profiles of 40 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 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
United Kingdom 2 1%
India 1 <1%
Japan 1 <1%
Spain 1 <1%
Unknown 178 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 26%
Researcher 44 23%
Student > Bachelor 16 8%
Student > Doctoral Student 10 5%
Student > Master 10 5%
Other 36 19%
Unknown 23 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 62 33%
Biochemistry, Genetics and Molecular Biology 49 26%
Computer Science 15 8%
Medicine and Dentistry 10 5%
Engineering 4 2%
Other 20 11%
Unknown 29 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 03 January 2019.
All research outputs
#1,713,380
of 25,373,627 outputs
Outputs from American Journal of Human Genetics
#928
of 5,878 outputs
Outputs of similar age
#22,761
of 359,100 outputs
Outputs of similar age from American Journal of Human Genetics
#14
of 46 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,878 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done well, scoring higher than 84% 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 359,100 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 93% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.