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Genome-wide DNA methylation analysis in blood cells from patients with Werner syndrome

Overview of attention for article published in Clinical Epigenetics, August 2017
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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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Title
Genome-wide DNA methylation analysis in blood cells from patients with Werner syndrome
Published in
Clinical Epigenetics, August 2017
DOI 10.1186/s13148-017-0389-4
Pubmed ID
Authors

T. Guastafierro, M. G. Bacalini, A. Marcoccia, D. Gentilini, S. Pisoni, A. M. Di Blasio, A. Corsi, C. Franceschi, D. Raimondo, A. Spanò, P. Garagnani, F. Bondanini

Abstract

Werner syndrome is a progeroid disorder characterized by premature age-related phenotypes. Although it is well established that autosomal recessive mutations in the WRN gene is responsible for Werner syndrome, the molecular alterations that lead to disease phenotype remain still unidentified. To address whether epigenetic changes can be associated with Werner syndrome phenotype, we analysed genome-wide DNA methylation profile using the Infinium MethylationEPIC BeadChip in the whole blood from three patients affected by Werner syndrome compared with three age- and sex-matched healthy controls. Hypermethylated probes were enriched in glycosphingolipid biosynthesis, FoxO signalling and insulin signalling pathways, while hypomethylated probes were enriched in PI3K-Akt signalling and focal adhesion pathways. Twenty-two out of 47 of the differentially methylated genes belonging to the enriched pathways resulted differentially expressed in a publicly available dataset on Werner syndrome fibroblasts. Interestingly, differentially methylated regions identified CERS1 and CERS3, two members of the ceramide synthase family. Moreover, we found differentially methylated probes within ITGA9 and ADAM12 genes, whose methylation is altered in systemic sclerosis, and within the PRDM8 gene, whose methylation is affected in dyskeratosis congenita and Down syndrome. DNA methylation changes in the peripheral blood from Werner syndrome patients provide new insight in the pathogenesis of the disease, highlighting in some cases a functional correlation of gene expression and methylation status.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 21%
Researcher 8 19%
Student > Master 5 12%
Student > Doctoral Student 3 7%
Other 3 7%
Other 6 14%
Unknown 8 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 29%
Medicine and Dentistry 7 17%
Agricultural and Biological Sciences 3 7%
Psychology 3 7%
Nursing and Health Professions 2 5%
Other 4 10%
Unknown 11 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 15 September 2023.
All research outputs
#3,524,142
of 24,447,003 outputs
Outputs from Clinical Epigenetics
#249
of 1,381 outputs
Outputs of similar age
#62,467
of 319,810 outputs
Outputs of similar age from Clinical Epigenetics
#6
of 35 outputs
Altmetric has tracked 24,447,003 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,381 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 81% 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 319,810 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 80% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.