↓ Skip to main content

Single-cell genome-wide bisulfite sequencing uncovers extensive heterogeneity in the mouse liver methylome

Overview of attention for article published in Genome Biology, July 2016
Altmetric Badge

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 (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

blogs
2 blogs
twitter
15 X users
patent
8 patents
facebook
1 Facebook page
reddit
1 Redditor

Citations

dimensions_citation
110 Dimensions

Readers on

mendeley
163 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Single-cell genome-wide bisulfite sequencing uncovers extensive heterogeneity in the mouse liver methylome
Published in
Genome Biology, July 2016
DOI 10.1186/s13059-016-1011-3
Pubmed ID
Authors

Silvia Gravina, Xiao Dong, Bo Yu, Jan Vijg

Abstract

Transmission fidelity of CpG DNA methylation patterns is not foolproof, with error rates from less than 1 to well over 10 % per CpG site, dependent on preservation of the methylated or unmethylated state and the type of sequence. This suggests a fairly high chance of errors. However, the consequences of such errors in terms of cell-to-cell variation have never been demonstrated by experimentally measuring intra-tissue heterogeneity in an adult organism. We employ single-cell DNA methylomics to analyze heterogeneity of genome-wide 5-methylcytosine (5mC) patterns within mouse liver. Our results indicate a surprisingly high level of heterogeneity, corresponding to an average epivariation frequency of approximately 3.3 %, with regions containing H3K4me1 being the most variable and promoters and CpG islands the most stable. Our data also indicate that the level of 5mC heterogeneity is dependent on genomic features. We find that non-functional sites such as repeat elements and introns are mostly unstable and potentially functional sites such as gene promoters are mostly stable. By employing a protocol for whole-genome bisulfite sequencing of single cells, we show that the liver epigenome is highly unstable with an epivariation frequency in DNA methylation patterns of at least two orders of magnitude higher than somatic mutation frequencies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Netherlands 1 <1%
Norway 1 <1%
Brazil 1 <1%
United States 1 <1%
Unknown 158 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 41 25%
Student > Ph. D. Student 30 18%
Student > Master 16 10%
Student > Bachelor 14 9%
Student > Doctoral Student 8 5%
Other 25 15%
Unknown 29 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 53 33%
Agricultural and Biological Sciences 46 28%
Computer Science 8 5%
Medicine and Dentistry 5 3%
Chemistry 5 3%
Other 11 7%
Unknown 35 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 19 March 2024.
All research outputs
#1,474,245
of 25,507,011 outputs
Outputs from Genome Biology
#1,170
of 4,484 outputs
Outputs of similar age
#26,850
of 370,682 outputs
Outputs of similar age from Genome Biology
#17
of 65 outputs
Altmetric has tracked 25,507,011 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 4,484 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 73% 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 370,682 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 92% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.