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Regional differences in mitochondrial DNA methylation in human post-mortem brain tissue

Overview of attention for article published in Clinical Epigenetics, May 2017
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  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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Title
Regional differences in mitochondrial DNA methylation in human post-mortem brain tissue
Published in
Clinical Epigenetics, May 2017
DOI 10.1186/s13148-017-0337-3
Pubmed ID
Authors

Matthew Devall, Rebecca G. Smith, Aaron Jeffries, Eilis Hannon, Matthew N. Davies, Leonard Schalkwyk, Jonathan Mill, Michael Weedon, Katie Lunnon

Abstract

DNA methylation is an important epigenetic mechanism involved in gene regulation, with alterations in DNA methylation in the nuclear genome being linked to numerous complex diseases. Mitochondrial DNA methylation is a phenomenon that is receiving ever-increasing interest, particularly in diseases characterized by mitochondrial dysfunction; however, most studies have been limited to the investigation of specific target regions. Analyses spanning the entire mitochondrial genome have been limited, potentially due to the amount of input DNA required. Further, mitochondrial genetic studies have been previously confounded by nuclear-mitochondrial pseudogenes. Methylated DNA Immunoprecipitation Sequencing is a technique widely used to profile DNA methylation across the nuclear genome; however, reads mapped to mitochondrial DNA are often discarded. Here, we have developed an approach to control for nuclear-mitochondrial pseudogenes within Methylated DNA Immunoprecipitation Sequencing data. We highlight the utility of this approach in identifying differences in mitochondrial DNA methylation across regions of the human brain and pre-mortem blood. We were able to correlate mitochondrial DNA methylation patterns between the cortex, cerebellum and blood. We identified 74 nominally significant differentially methylated regions (p < 0.05) in the mitochondrial genome, between anatomically separate cortical regions and the cerebellum in matched samples (N = 3 matched donors). Further analysis identified eight significant differentially methylated regions between the total cortex and cerebellum after correcting for multiple testing. Using unsupervised hierarchical clustering analysis of the mitochondrial DNA methylome, we were able to identify tissue-specific patterns of mitochondrial DNA methylation between blood, cerebellum and cortex. Our study represents a comprehensive analysis of the mitochondrial methylome using pre-existing Methylated DNA Immunoprecipitation Sequencing data to identify brain region-specific patterns of mitochondrial DNA methylation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 1%
Unknown 69 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 29%
Student > Bachelor 9 13%
Student > Ph. D. Student 8 11%
Professor 5 7%
Student > Master 5 7%
Other 9 13%
Unknown 14 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 19%
Neuroscience 12 17%
Agricultural and Biological Sciences 12 17%
Medicine and Dentistry 4 6%
Environmental Science 2 3%
Other 6 9%
Unknown 21 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 January 2020.
All research outputs
#13,035,913
of 23,321,213 outputs
Outputs from Clinical Epigenetics
#610
of 1,290 outputs
Outputs of similar age
#146,261
of 311,770 outputs
Outputs of similar age from Clinical Epigenetics
#12
of 36 outputs
Altmetric has tracked 23,321,213 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,290 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has gotten more attention than average, scoring higher than 51% 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 311,770 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 36 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 63% of its contemporaries.