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Identification of RNA-binding protein targets with HyperTRIBE

Overview of attention for article published in Nature Protocols, July 2018
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  • Good Attention Score compared to outputs of the same age (70th percentile)

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7 X users
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Article details
Title
Identification of RNA-binding protein targets with HyperTRIBE
Published in
Nature Protocols, July 2018
DOI 10.1038/s41596-018-0020-y
Pubmed ID
Authors
Abstract

RNA-binding proteins (RBPs) accompany RNA from birth to death, affecting RNA biogenesis and functions. Identifying RBP-RNA interactions is essential to understanding their complex roles in different cellular processes. However, detecting in vivo RNA targets of RBPs, especially in a small number of discrete cells, has been a technically challenging task. We previously developed a novel technique called TRIBE (targets of RNA-binding proteins identified by editing) to overcome this problem. TRIBE expresses a fusion protein consisting of a queried RBP and the catalytic domain of the RNA-editing enzyme ADAR (adenosine deaminase acting on RNA) (ADARcd), which marks target RNA transcripts by converting adenosine to inosine near the RBP binding sites. These marks can be subsequently identified via high-throughput sequencing. In spite of its usefulness, TRIBE is constrained by a low editing efficiency and editing-sequence bias from the ADARcd. Therefore, we developed HyperTRIBE by incorporating a previously characterized hyperactive mutation, E488Q, into the ADARcd. This strategy increases the editing efficiency and reduces sequence bias, which markedly increases the sensitivity of this technique without sacrificing specificity. HyperTRIBE provides a more powerful strategy for identifying RNA targets of RBPs with an easy experimental and computational protocol at low cost, that can be performed not only in flies, but also in mammals. The HyperTRIBE experimental protocol described below can be carried out in cultured Drosophila S2 cells in 1 week, using tools available in a common molecular biology laboratory; the computational analysis requires 3 more days.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 171 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 40 23%
Researcher 29 17%
Student > Master 19 11%
Student > Bachelor 14 8%
Student > Doctoral Student 7 4%
Other 12 7%
Unknown 50 29%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 64 37%
Agricultural and Biological Sciences 30 18%
Neuroscience 8 5%
Immunology and Microbiology 6 4%
Medicine and Dentistry 3 2%
Other 11 6%
Unknown 49 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 24 September 2024.
All research outputs
#6,008,482
of 27,374,586 outputs
Outputs from Nature Protocols
#1,779
of 3,078 outputs
Outputs of similar age
#97,444
of 344,026 outputs
Outputs of similar age from Nature Protocols
#15
of 20 outputs
Altmetric has tracked 27,374,586 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 3,078 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.7. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 344,026 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 70% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.