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Capture, Unfolding, and Detection of Individual tRNA Molecules Using a Nanopore Device

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, June 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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

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2 blogs
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1 Facebook page

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133 Mendeley
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Title
Capture, Unfolding, and Detection of Individual tRNA Molecules Using a Nanopore Device
Published in
Frontiers in Bioengineering and Biotechnology, June 2015
DOI 10.3389/fbioe.2015.00091
Pubmed ID
Authors

Andrew M. Smith, Robin Abu-Shumays, Mark Akeson, David L. Bernick

Abstract

Transfer RNAs (tRNA) are the most common RNA molecules in cells and have critical roles as both translators of the genetic code and regulators of protein synthesis. As such, numerous methods have focused on studying tRNA abundance and regulation, with the most widely used methods being RNA-seq and microarrays. Though revolutionary to transcriptomics, these assays are limited by an inability to encode tRNA modifications in the requisite cDNA. These modifications are abundant in tRNA and critical to their function. Here, we describe proof-of-concept experiments where individual tRNA molecules are examined as linear strands using a biological nanopore. This method utilizes an enzymatically ligated synthetic DNA adapter to concentrate tRNA at the lipid bilayer of the nanopore device and efficiently denature individual tRNA molecules, as they are pulled through the α-hemolysin (α-HL) nanopore. Additionally, the DNA adapter provides a loading site for ϕ29 DNA polymerase (ϕ29 DNAP), which acts as a brake on the translocating tRNA. This increases the dwell time of adapted tRNA in the nanopore, allowing us to identify the region of the nanopore signal that is produced by the translocating tRNA itself. Using adapter-modified Escherichia coli tRNA(fMet) and tRNA(Lys), we show that the nanopore signal during controlled translocation is dependent on the identity of the tRNA. This confirms that adapter-modified tRNA can translocate end-to-end through nanopores and provide the foundation for future work in direct sequencing of individual transfer RNA with a nanopore-based device.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 <1%
South Africa 1 <1%
Czechia 1 <1%
Denmark 1 <1%
China 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 126 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 20%
Student > Ph. D. Student 22 17%
Student > Bachelor 16 12%
Student > Master 14 11%
Student > Doctoral Student 8 6%
Other 18 14%
Unknown 28 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 37 28%
Agricultural and Biological Sciences 25 19%
Engineering 11 8%
Chemistry 9 7%
Physics and Astronomy 6 5%
Other 14 11%
Unknown 31 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 04 April 2024.
All research outputs
#1,446,389
of 25,784,004 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#140
of 8,650 outputs
Outputs of similar age
#17,391
of 279,184 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#1
of 54 outputs
Altmetric has tracked 25,784,004 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,650 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 98% 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 279,184 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.