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SINEUPs are modular antisense long non-coding RNAs that increase synthesis of target proteins in cells

Overview of attention for article published in Frontiers in Cellular 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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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9 X users
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6 patents
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1 Facebook page

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170 Mendeley
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Title
SINEUPs are modular antisense long non-coding RNAs that increase synthesis of target proteins in cells
Published in
Frontiers in Cellular Neuroscience, May 2015
DOI 10.3389/fncel.2015.00174
Pubmed ID
Authors

Silvia Zucchelli, Francesca Fasolo, Roberta Russo, Laura Cimatti, Laura Patrucco, Hazuki Takahashi, Michael H. Jones, Claudio Santoro, Daniele Sblattero, Diego Cotella, Francesca Persichetti, Piero Carninci, Stefano Gustincich

Abstract

Despite recent efforts in discovering novel long non-coding RNAs (lncRNAs) and unveiling their functions in a wide range of biological processes their applications as biotechnological or therapeutic tools are still at their infancy. We have recently shown that AS Uchl1, a natural lncRNA antisense to the Parkinson's disease-associated gene Ubiquitin carboxyl-terminal esterase L1 (Uchl1), is able to increase UchL1 protein synthesis at post-transcriptional level. Its activity requires two RNA elements: an embedded inverted SINEB2 sequence to increase translation and the overlapping region to target its sense mRNA. This functional organization is shared with several mouse lncRNAs antisense to protein coding genes. The potential use of AS Uchl1-derived lncRNAs as enhancers of target mRNA translation remains unexplored. Here we define AS Uchl1 as the representative member of a new functional class of natural and synthetic antisense lncRNAs that activate translation. We named this class of RNAs SINEUPs for their requirement of the inverted SINEB2 sequence to UP-regulate translation in a gene-specific manner. The overlapping region is indicated as the Binding Doman (BD) while the embedded inverted SINEB2 element is the Effector Domain (ED). By swapping BD, synthetic SINEUPs are designed targeting mRNAs of interest. SINEUPs function in an array of cell lines and can be efficiently directed toward N-terminally tagged proteins. Their biological activity is retained in a miniaturized version within the range of small RNAs length. Its modular structure was exploited to successfully design synthetic SINEUPs targeting endogenous Parkinson's disease-associated DJ-1 and proved to be active in different neuronal cell lines. In summary, SINEUPs represent the first scalable tool to increase synthesis of proteins of interest. We propose SINEUPs as reagents for molecular biology experiments, in protein manufacturing as well as in therapy of haploinsufficiencies.

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X Demographics

The data shown below were collected from the profiles of 9 X users 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 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Italy 2 1%
Germany 1 <1%
Canada 1 <1%
Japan 1 <1%
Unknown 163 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 20%
Student > Ph. D. Student 32 19%
Student > Master 22 13%
Student > Bachelor 12 7%
Student > Doctoral Student 11 6%
Other 21 12%
Unknown 38 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 54 32%
Agricultural and Biological Sciences 49 29%
Neuroscience 7 4%
Medicine and Dentistry 7 4%
Immunology and Microbiology 3 2%
Other 9 5%
Unknown 41 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 30 November 2023.
All research outputs
#3,008,081
of 24,138,997 outputs
Outputs from Frontiers in Cellular Neuroscience
#568
of 4,489 outputs
Outputs of similar age
#38,294
of 268,517 outputs
Outputs of similar age from Frontiers in Cellular Neuroscience
#19
of 109 outputs
Altmetric has tracked 24,138,997 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 4,489 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done well, scoring higher than 86% 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 268,517 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 85% of its contemporaries.
We're also able to compare this research output to 109 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.