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The Epigenomic Landscape in Osteoarthritis

Overview of attention for article published in Current Rheumatology Reports, April 2017
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Title
The Epigenomic Landscape in Osteoarthritis
Published in
Current Rheumatology Reports, April 2017
DOI 10.1007/s11926-017-0661-9
Pubmed ID
Authors

Tommie C. Simon, Matlock A. Jeffries

Abstract

Epigenomics has emerged as a key player in our rapidly evolving understanding of osteoarthritis. Historical studies implicated epigenetic alterations, particularly DNA methylation, in OA pathogenesis; however, recent technological advances have resulted in numerous epigenome-wide studies examining in detail epigenetic modifications in OA. The purpose of this article is to introduce basic concepts in epigenetics and their recent applications to the study of osteoarthritis development and progression. Epigenetics describes three major phenomena: DNA modification via methylation, histone sidechain modifications, and short noncoding RNA sequences which work in concert to regulate gene transcription in a heritable fashion. Cartilage has been the most widely studied tissue in OA, and differential methylation of genes involved in inflammation, cell cycle, TGFβ, and HOX genes have been confirmed several times. Bone studies suggest similar findings, and the intriguing possibility of epigenetic changes in subchondral bone during many OA processes. Multiple studies have demonstrated the involvement of certain noncoding RNAs, particularly miR-140, in OA development via modulation of key catabolic factors. Although much work has been done, much is still unknown. Future epigenomic studies will no doubt continue to widen our understanding of extraarticular tissues and OA pathogenesis, and studies in animal models may offer glimpses into epigenome alterations in the earliest stages of OA.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 18%
Researcher 8 16%
Other 5 10%
Student > Master 4 8%
Professor 4 8%
Other 7 14%
Unknown 14 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 31%
Agricultural and Biological Sciences 5 10%
Medicine and Dentistry 3 6%
Engineering 3 6%
Neuroscience 2 4%
Other 5 10%
Unknown 17 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 May 2017.
All research outputs
#18,546,002
of 22,968,808 outputs
Outputs from Current Rheumatology Reports
#563
of 718 outputs
Outputs of similar age
#236,534
of 310,964 outputs
Outputs of similar age from Current Rheumatology Reports
#14
of 20 outputs
Altmetric has tracked 22,968,808 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 718 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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