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Whole-epigenome analysis in multiple myeloma reveals DNA hypermethylation of B cell-specific enhancers

Overview of attention for article published in Genome Research, February 2015
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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 (89th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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18 X users
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2 Facebook pages
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1 Wikipedia page

Citations

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120 Dimensions

Readers on

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225 Mendeley
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3 CiteULike
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Title
Whole-epigenome analysis in multiple myeloma reveals DNA hypermethylation of B cell-specific enhancers
Published in
Genome Research, February 2015
DOI 10.1101/gr.180240.114
Pubmed ID
Authors

Xabier Agirre, Giancarlo Castellano, Marien Pascual, Simon Heath, Marta Kulis, Victor Segura, Anke Bergmann, Anna Esteve, Angelika Merkel, Emanuele Raineri, Lidia Agueda, Julie Blanc, David Richardson, Laura Clarke, Avik Datta, Nuria Russiñol, Ana C. Queirós, Renée Beekman, Juan R. Rodríguez-Madoz, Edurne San José-Enériz, Fang Fang, Norma C. Gutiérrez, José M. García-Verdugo, Michael I. Robson, Eric C. Schirmer, Elisabeth Guruceaga, Joost H.A. Martens, Marta Gut, Maria J. Calasanz, Paul Flicek, Reiner Siebert, Elías Campo, Jesús F. San Miguel, Ari Melnick, Hendrik G. Stunnenberg, Ivo G. Gut, Felipe Prosper, José I. Martín-Subero

Abstract

While analyzing the DNA methylome of multiple myeloma (MM), a plasma cell neoplasm, by whole-genome bisulfite sequencing and high-density arrays, we observed a highly heterogeneous pattern globally characterized by regional DNA hypermethylation embedded in extensive hypomethylation. In contrast to the widely reported DNA hypermethylation of promoter-associated CpG islands (CGIs) in cancer, hypermethylated sites in MM, as opposed to normal plasma cells, were located outside CpG islands and were unexpectedly associated with intronic enhancer regions defined in normal B cells and plasma cells. Both RNA-seq and in vitro reporter assays indicated that enhancer hypermethylation is globally associated with downregulation of its host genes. ChIP-seq and DNase-seq further revealed that DNA hypermethylation in these regions is related to enhancer decommissioning. Hypermethylated enhancer regions overlapped with binding sites of B cell-specific transcription factors (TFs) and the degree of enhancer methylation inversely correlated with expression levels of these TFs in MM. Furthermore, hypermethylated regions in MM were methylated in stem cells and gradually became demethylated during normal B-cell differentiation, suggesting that MM cells either reacquire epigenetic features of undifferentiated cells or maintain an epigenetic signature of a putative myeloma stem cell progenitor. Overall, we have identified DNA hypermethylation of developmentally-regulated enhancers as a new type of epigenetic modification associated with the pathogenesis of MM.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Spain 3 1%
Austria 1 <1%
France 1 <1%
Brazil 1 <1%
Unknown 215 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 59 26%
Student > Ph. D. Student 53 24%
Student > Bachelor 18 8%
Student > Master 13 6%
Professor 9 4%
Other 32 14%
Unknown 41 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 65 29%
Agricultural and Biological Sciences 46 20%
Medicine and Dentistry 30 13%
Computer Science 7 3%
Chemistry 5 2%
Other 24 11%
Unknown 48 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 September 2020.
All research outputs
#2,665,996
of 25,837,817 outputs
Outputs from Genome Research
#1,304
of 4,469 outputs
Outputs of similar age
#36,024
of 364,252 outputs
Outputs of similar age from Genome Research
#17
of 37 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,469 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.9. This one has gotten more attention than average, scoring higher than 70% 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 364,252 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 89% of its contemporaries.
We're also able to compare this research output to 37 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 54% of its contemporaries.