Evidence map›Paper›PMID 26157798›Full record

ArticleFrontiers in bioengineering and biotechnology2015

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

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

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 66 citations in OpenAlex.

  1. Review
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  4. Article
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  6. A robust method for measuring aminoacylation through tRNA-Seq.bioRxiv : the preprint server for biology · 2024
    Article
  7. Article
  8. Article
  9. Review
  10. Real-time label-free detection of dynamic aptamer-small molecule interactions using a nanopore nucleic acid conformational sensor.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  11. Review
  12. Article
  13. Review
  14. [Unsupervised deep learning for identifying the OSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2022
    Article
  15. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Andrew M SmithDepartment of Chemistry and Biochemistry, University of California Santa Cruz , Santa Cruz, CA , USA ; Department of Biomolecular Engineering, University of California Santa Cruz , Santa Cruz, CA , USA.
Robin Abu-ShumaysDepartment of Biomolecular Engineering, University of California Santa Cruz , Santa Cruz, CA , USA.
Mark AkesonDepartment of Biomolecular Engineering, University of California Santa Cruz , Santa Cruz, CA , USA ; Genomics Institute, University of California Santa Cruz , Santa Cruz, CA , USA.
David L BernickDepartment of Biomolecular Engineering, University of California Santa Cruz , Santa Cruz, CA , USA.
University of California, Santa Cruz · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

nanoporenanotechnologyRNA sequencingsingle moleculetRNA

Identifiers

PMID26157798
PMCPMC4478443
OpenAlexW1541777207

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.