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Aberrant Expression of Long Noncoding RNAs in Autistic Brain

Overview of attention for article published in Journal of Molecular Neuroscience, September 2012
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  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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2 Wikipedia pages

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184 Dimensions

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183 Mendeley
Title
Aberrant Expression of Long Noncoding RNAs in Autistic Brain
Published in
Journal of Molecular Neuroscience, September 2012
DOI 10.1007/s12031-012-9880-8
Pubmed ID
Authors

Mark N. Ziats, Owen M. Rennert

Abstract

The autism spectrum disorders (ASD) have a significant hereditary component, but the implicated genetic loci are heterogeneous and complex. Consequently, there is a gap in understanding how diverse genomic aberrations all result in one clinical ASD phenotype. Gene expression studies from autism brain tissue have demonstrated that aberrantly expressed protein-coding genes may converge onto common molecular pathways, potentially reconciling the strong heritability and shared clinical phenotypes with the genomic heterogeneity of the disorder. However, the regulation of gene expression is extremely complex and governed by many mechanisms, including noncoding RNAs. Yet no study in ASD brain tissue has assessed for changes in regulatory long noncoding RNAs (lncRNAs), which represent a large proportion of the human transcriptome, and actively modulate mRNA expression. To assess if aberrant expression of lncRNAs may play a role in the molecular pathogenesis of ASD, we profiled over 33,000 annotated lncRNAs and 30,000 mRNA transcripts from postmortem brain tissue of autistic and control prefrontal cortex and cerebellum by microarray. We detected over 200 differentially expressed lncRNAs in ASD, which were enriched for genomic regions containing genes related to neurodevelopment and psychiatric disease. Additionally, comparison of differences in expression of mRNAs between prefrontal cortex and cerebellum within individual donors showed ASD brains had more transcriptional homogeneity. Moreover, this was also true of the lncRNA transcriptome. Our results suggest that further investigation of lncRNA expression in autistic brain may further elucidate the molecular pathogenesis of this disorder.

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

Mendeley readers

The data shown below were compiled from readership statistics for 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
France 1 <1%
Ireland 1 <1%
Netherlands 1 <1%
United Kingdom 1 <1%
Italy 1 <1%
Japan 1 <1%
China 1 <1%
Unknown 173 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 21%
Researcher 37 20%
Student > Master 26 14%
Student > Bachelor 16 9%
Student > Postgraduate 12 7%
Other 22 12%
Unknown 31 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 27%
Biochemistry, Genetics and Molecular Biology 42 23%
Neuroscience 21 11%
Medicine and Dentistry 19 10%
Computer Science 3 2%
Other 13 7%
Unknown 35 19%
Attention Score in Context

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 29 August 2020.
All research outputs
#8,065,195
of 25,654,806 outputs
Outputs from Journal of Molecular Neuroscience
#449
of 1,647 outputs
Outputs of similar age
#58,464
of 187,575 outputs
Outputs of similar age from Journal of Molecular Neuroscience
#3
of 12 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,647 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 71% 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 187,575 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 67% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.