↓ Skip to main content

Heterogeneous dysregulation of microRNAs across the autism spectrum

Overview of attention for article published in neurogenetics, July 2008
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#44 of 396)
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
1 X user
patent
2 patents
f1000
1 research highlight platform

Citations

dimensions_citation
240 Dimensions

Readers on

mendeley
229 Mendeley
citeulike
4 CiteULike
connotea
1 Connotea
Title
Heterogeneous dysregulation of microRNAs across the autism spectrum
Published in
neurogenetics, July 2008
DOI 10.1007/s10048-008-0133-5
Pubmed ID
Authors

Kawther Abu-Elneel, Tsunglin Liu, Francesca S. Gazzaniga, Yuhei Nishimura, Dennis P. Wall, Daniel H. Geschwind, Kaiqin Lao, Kenneth S. Kosik

Abstract

microRNAs (miRNAs) are approximately 21 nt transcripts capable of regulating the expression of many mRNAs and are abundant in the brain. miRNAs have a role in several complex diseases including cancer as well as some neurological diseases such as Tourette's syndrome and Fragile x syndrome. As a genetically complex disease, dysregulation of miRNA expression might be a feature of autism spectrum disorders (ASDs). Using multiplex quantitative polymerase chain reaction (PCR), we compared the expression of 466 human miRNAs from postmortem cerebellar cortex tissue of individuals with ASD (n = 13) and a control set of non-autistic cerebellar samples (n = 13). While most miRNAs levels showed little variation across all samples suggesting that autism does not induce global dysfunction of miRNA expression, some miRNAs among the autistic samples were expressed at significantly different levels compared to the mean control value. Twenty-eight miRNAs were expressed at significantly different levels compared to the non-autism control set in at least one of the autism samples. To validate the finding, we reversed the analysis and compared each non-autism control to a single mean value for each miRNA across all autism cases. In this analysis, the number of dysregulated miRNAs fell from 28 to 9 miRNAs. Among the predicted targets of dysregulated miRNAs are genes that are known genetic causes of autism such Neurexin and SHANK3. This study finds that altered miRNA expression levels are observed in postmortem cerebellar cortex from autism patients, a finding which suggests that dysregulation of miRNAs may contribute to autism spectrum phenotype.

X Demographics

X Demographics

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 229 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 4%
United Kingdom 4 2%
Netherlands 2 <1%
Germany 2 <1%
Israel 1 <1%
Italy 1 <1%
Japan 1 <1%
Brazil 1 <1%
Unknown 207 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 20%
Researcher 45 20%
Student > Master 31 14%
Student > Bachelor 17 7%
Professor > Associate Professor 16 7%
Other 36 16%
Unknown 38 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 74 32%
Biochemistry, Genetics and Molecular Biology 32 14%
Neuroscience 29 13%
Medicine and Dentistry 27 12%
Psychology 10 4%
Other 19 8%
Unknown 38 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 March 2018.
All research outputs
#4,455,835
of 25,837,817 outputs
Outputs from neurogenetics
#44
of 396 outputs
Outputs of similar age
#15,945
of 97,886 outputs
Outputs of similar age from neurogenetics
#1
of 7 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 396 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 87% 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 97,886 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 83% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them