↓ Skip to main content

Single-cell epigenomic variability reveals functional cancer heterogeneity

Overview of attention for article published in Genome Biology, January 2017
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 (86th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
25 X users

Citations

dimensions_citation
95 Dimensions

Readers on

mendeley
276 Mendeley
citeulike
1 CiteULike
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 epigenomic variability reveals functional cancer heterogeneity
Published in
Genome Biology, January 2017
DOI 10.1186/s13059-016-1133-7
Pubmed ID
Authors

Ulrike M. Litzenburger, Jason D. Buenrostro, Beijing Wu, Ying Shen, Nathan C. Sheffield, Arwa Kathiria, William J. Greenleaf, Howard Y. Chang

Abstract

Cell-to-cell heterogeneity is a major driver of cancer evolution, progression, and emergence of drug resistance. Epigenomic variation at the single-cell level can rapidly create cancer heterogeneity but is difficult to detect and assess functionally. We develop a strategy to bridge the gap between measurement and function in single-cell epigenomics. Using single-cell chromatin accessibility and RNA-seq data in K562 leukemic cells, we identify the cell surface marker CD24 as co-varying with chromatin accessibility changes linked to GATA transcription factors in single cells. Fluorescence-activated cell sorting of CD24 high versus low cells prospectively isolated GATA1 and GATA2 high versus low cells. GATA high versus low cells express differential gene regulatory networks, differential sensitivity to the drug imatinib mesylate, and differential self-renewal capacity. Lineage tracing experiments show that GATA/CD24hi cells have the capability to rapidly reconstitute the heterogeneity within the entire starting population, suggesting that GATA expression levels drive a phenotypically relevant source of epigenomic plasticity. Single-cell chromatin accessibility can guide prospective characterization of cancer heterogeneity. Epigenomic subpopulations in cancer impact drug sensitivity and the clonal dynamics of cancer evolution.

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 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 276 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Sweden 1 <1%
Unknown 273 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 61 22%
Researcher 43 16%
Student > Master 32 12%
Student > Bachelor 26 9%
Professor 14 5%
Other 36 13%
Unknown 64 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 95 34%
Agricultural and Biological Sciences 62 22%
Computer Science 11 4%
Medicine and Dentistry 11 4%
Immunology and Microbiology 6 2%
Other 20 7%
Unknown 71 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 August 2020.
All research outputs
#2,966,887
of 25,377,790 outputs
Outputs from Genome Biology
#2,226
of 4,468 outputs
Outputs of similar age
#57,308
of 422,553 outputs
Outputs of similar age from Genome Biology
#31
of 62 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,468 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 50% 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 422,553 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 62 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 50% of its contemporaries.