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Functional characterizations of rare UBA1 variants in X-linked Spinal Muscular Atrophy

Overview of attention for article published in F1000 Research, September 2017
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  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Average Attention Score compared to outputs of the same age and source

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Article details
Title
Functional characterizations of rare UBA1 variants in X-linked Spinal Muscular Atrophy
Published in
F1000 Research, September 2017
DOI 10.12688/f1000research.11878.1
Pubmed ID
Authors
Abstract

Background: X-linked spinal muscular atrophy (XL-SMA) results from mutations in the Ubiquitin-Like Modifier Activating Enzyme 1 ( UBA1). Previously, four novel closely clustered mutations have been shown to cause this fatal infantile disorder affecting only males. These mutations, three missense and one synonymous, all lie within Exon15 of the UBA1 gene, which contains the active adenylation domain (AAD). Methods: In this study, our group characterized the three known missense variants in vitro. Using a novel Uba1 assay and other methods, we investigated Uba1 adenylation, thioester, and transthioesterification reactions in vitro to determine possible biochemical effects of the missense variants. Results: Our data revealed that only one of the three XL-SMA missense variants impairs the Ubiquitin-adenylating ability of Uba1. Additionally, these missense variants retained Ubiquitin thioester bond formation and transthioesterification rates equal to that found in the wild type. Conclusions: Our results demonstrate a surprising shift from the likelihood of these XL-SMA mutations playing a damaging role in Uba1's enzymatic activity with Ubiquitin, to other roles such as altering UBA1 mRNA splicing via the disruption of splicing factor binding sites, similar to a mechanism in traditional SMA, or disrupting binding to other important in vivo binding partners.  These findings help to narrow the search for the areas of possible dysfunction in the Ubiquitin-proteasome pathway that ultimately result in XL-SMA. Moreover, this investigation provides additional critical understanding of the mutations' biochemical mechanisms, vital for the development of future effective diagnostic assays and therapeutics.

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 6 25%
Researcher 3 13%
Student > Ph. D. Student 2 8%
Professor 1 4%
Student > Postgraduate 1 4%
Other 0 0%
Unknown 11 46%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 29%
Agricultural and Biological Sciences 2 8%
Medicine and Dentistry 2 8%
Psychology 1 4%
Neuroscience 1 4%
Other 0 0%
Unknown 11 46%
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 06 June 2018.
All research outputs
#11,461,382
of 34,372,222 outputs
Outputs from F1000 Research
#2,839
of 7,214 outputs
Outputs of similar age
#130,157
of 354,689 outputs
Outputs of similar age from F1000 Research
#94
of 178 outputs
Altmetric has tracked 34,372,222 research outputs across all sources so far. This one has received more attention than most of these and is in the 65th percentile.
So far Altmetric has tracked 7,214 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has gotten more attention than average, scoring higher than 59% 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 354,689 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 61% of its contemporaries.
We're also able to compare this research output to 178 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.