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Epigenetic modulation of brain gene networks for cocaine and alcohol abuse

Overview of attention for article published in Frontiers in Neuroscience, May 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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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Title
Epigenetic modulation of brain gene networks for cocaine and alcohol abuse
Published in
Frontiers in Neuroscience, May 2015
DOI 10.3389/fnins.2015.00176
Pubmed ID
Authors

Sean P. Farris, Robert A. Harris, Igor Ponomarev

Abstract

Cocaine and alcohol are two substances of abuse that prominently affect the central nervous system (CNS). Repeated exposure to cocaine and alcohol leads to longstanding changes in gene expression, and subsequent functional CNS plasticity, throughout multiple brain regions. Epigenetic modifications of histones are one proposed mechanism guiding these enduring changes to the transcriptome. Characterizing the large number of available biological relationships as network models can reveal unexpected biochemical relationships. Clustering analysis of variation from whole-genome sequencing of gene expression (RNA-Seq) and histone H3 lysine 4 trimethylation (H3K4me3) events (ChIP-Seq) revealed the underlying structure of the transcriptional and epigenomic landscape within hippocampal postmortem brain tissue of drug abusers and control cases. Distinct sets of interrelated networks for cocaine and alcohol abuse were determined for each abusive substance. The network approach identified subsets of functionally related genes that are regulated in agreement with H3K4me3 changes, suggesting cause and effect relationships between this epigenetic mark and gene expression. Gene expression networks consisted of recognized substrates for addiction, such as the dopamine- and cAMP-regulated neuronal phosphoprotein PPP1R1B/DARPP-32 and the vesicular glutamate transporter SLC17A7/VGLUT1 as well as potentially novel molecular targets for substance abuse. Through a systems biology based approach our results illustrate the utility of integrating epigenetic and transcript expression to establish relevant biological networks in the human brain for addiction. Future work with laboratory models may clarify the functional relevance of these gene networks for cocaine and alcohol, and provide a framework for the development of medications for the treatment of addiction.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Luxembourg 1 1%
Unknown 82 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 25%
Researcher 17 20%
Student > Bachelor 7 8%
Professor 4 5%
Other 4 5%
Other 12 14%
Unknown 18 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 19%
Agricultural and Biological Sciences 14 17%
Neuroscience 9 11%
Medicine and Dentistry 6 7%
Psychology 5 6%
Other 14 17%
Unknown 19 23%
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 19 June 2015.
All research outputs
#3,116,472
of 25,393,528 outputs
Outputs from Frontiers in Neuroscience
#2,168
of 11,545 outputs
Outputs of similar age
#38,465
of 280,346 outputs
Outputs of similar age from Frontiers in Neuroscience
#20
of 118 outputs
Altmetric has tracked 25,393,528 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,545 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 80% 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 280,346 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 118 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.