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The Regulation of Monoamine Oxidase A Gene Expression by Distinct Variable Number Tandem Repeats

Overview of attention for article published in Journal of Molecular Neuroscience, March 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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1 tweeter
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1 Wikipedia page

Citations

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13 Dimensions

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53 Mendeley
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Title
The Regulation of Monoamine Oxidase A Gene Expression by Distinct Variable Number Tandem Repeats
Published in
Journal of Molecular Neuroscience, March 2018
DOI 10.1007/s12031-018-1044-z
Pubmed ID
Authors

Maurizio Manca, Veridiana Pessoa, Ana Illera Lopez, Patrick T. Harrison, Fabio Miyajima, Helen Sharp, Andrew Pickles, Jonathan Hill, Chris Murgatroyd, Vivien J. Bubb, John P. Quinn

Abstract

The monoamine oxidase A (MAOA) uVNTR (upstream variable number tandem repeat) is one of the most often cited examples of a gene by environment interaction (GxE) in relation to behavioral traits. However, MAOA possesses a second VNTR, 500 bp upstream of the uVNTR, which is termed d- or distal VNTR. Furthermore, genomic analysis indicates that there are a minimum of two transcriptional start sites (TSSs) for MAOA, one of which encompasses the uVNTR within the 5' untranslated region of one of the isoforms. Through expression analysis in semi-haploid HAP1 cell lines genetically engineered in order to knockout (KO) either the uVNTR, dVNTR, or both VNTRs, we assessed the effect of the two MAOA VNTRs, either alone or in combination, on gene expression directed from the different TSSs. Complementing our functional analysis, we determined the haplotype variation of these VNTRs in the general population. The expression of the two MAOA isoforms was differentially modulated by the two VNTRs located in the promoter region. The most extensively studied uVNTR, previously considered a positive regulator of the MAOA gene, did not modulate the expression of what it is considered the canonical isoform, while we found that the dVNTR positively regulated this isoform in our model. In contrast, both the uVNTR and the dVNTR were found to act as negative regulators of the second less abundant MAOA isoform. The haplotype analysis for these two VNTRs demonstrated a bias against the presence of one of the potential variants. The uVNTR and dVNTR differentially affect expression of distinct MAOA isoforms, and thus, their combined profiling offers new insights into gene-regulation, GxE interaction, and ultimately MAOA-driven behavior.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 21%
Student > Master 9 17%
Student > Ph. D. Student 8 15%
Student > Bachelor 3 6%
Student > Doctoral Student 2 4%
Other 7 13%
Unknown 13 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 25%
Agricultural and Biological Sciences 5 9%
Neuroscience 3 6%
Medicine and Dentistry 3 6%
Nursing and Health Professions 2 4%
Other 7 13%
Unknown 20 38%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 06 November 2020.
All research outputs
#6,032,538
of 19,952,050 outputs
Outputs from Journal of Molecular Neuroscience
#331
of 1,356 outputs
Outputs of similar age
#107,430
of 293,811 outputs
Outputs of similar age from Journal of Molecular Neuroscience
#3
of 30 outputs
Altmetric has tracked 19,952,050 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,356 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 74% 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 293,811 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 62% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.