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Single-cell transcriptogenomics reveals transcriptional exclusion of ENU-mutated alleles

Overview of attention for article published in Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis, February 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#18 of 5,283)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
7 news outlets
blogs
2 blogs
twitter
7 X users
facebook
2 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
75 Mendeley
citeulike
3 CiteULike
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Title
Single-cell transcriptogenomics reveals transcriptional exclusion of ENU-mutated alleles
Published in
Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis, February 2015
DOI 10.1016/j.mrfmmm.2015.01.002
Pubmed ID
Authors

Wenge Li, R. Brent Calder, Jessica C. Mar, Jan Vijg

Abstract

Great progress has been made in single cell genomics and transcriptomics. Here, we present an integrative method, termed Single-Cell Transcriptogenomics (SCTG), in which whole exome sequencing and RNA-seq is performed concurrently on single cells. This methodology enables one to track germline and somatic variants directly from the genome to the transcriptome in individual cells. Mouse embryonic fibroblasts were treated with the powerful mutagen ethylnitrosourea (ENU) and subjected to SCGT. Interestingly, while germline variants were found to be transcribed in an allelically balanced fashion, a significantly different pattern of allelic exclusion was observed for ENU-mutant variants. These results suggest that the adverse effects of induced mutations, in contrast to germline variants, may be mitigated by allelically biased transcription. They also illustrate how SCGT can be instrumental in the direct assessment of phenotypic consequences of genomic variants.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Japan 1 1%
Sweden 1 1%
South Africa 1 1%
Unknown 70 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 27%
Student > Master 11 15%
Student > Bachelor 7 9%
Student > Ph. D. Student 7 9%
Professor 5 7%
Other 11 15%
Unknown 14 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 40%
Biochemistry, Genetics and Molecular Biology 17 23%
Medicine and Dentistry 4 5%
Engineering 4 5%
Psychology 1 1%
Other 3 4%
Unknown 16 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 72. 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 01 January 2020.
All research outputs
#595,004
of 25,373,627 outputs
Outputs from Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis
#18
of 5,283 outputs
Outputs of similar age
#7,639
of 361,169 outputs
Outputs of similar age from Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis
#1
of 28 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 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,283 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 99% 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 361,169 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 97% of its contemporaries.
We're also able to compare this research output to 28 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 96% of its contemporaries.