Evidence map›Paper›PMID 32075749›Full record

ArticleBiophysical journal2020

How Nanopore Translocation Experiments Can Measure RNA Unfolding.

Prasad Bandarkar, Huan Yang, Robert Y Henley, Meni Wanunu, Paul C Whitford

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
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

5 authors at 2 institutions in 1 country.

Prasad BandarkarDepartment of Physics, Northeastern University, Boston, Massachusetts.
Huan YangDepartment of Physics, Northeastern University, Boston, Massachusetts.
Robert Y HenleyGenomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, California.
Meni WanunuDepartment of Physics, Northeastern University, Boston, Massachusetts. Electronic address: m.wanunu@northeastern.edu.
Paul C WhitfordDepartment of Physics, Northeastern University, Boston, Massachusetts. Electronic address: p.whitford@neu.edu.
Northeastern University · USSalk Institute for Biological Studies · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrokinetic translocation of biomolecules through solid-state nanopores represents a label-free single-molecule technique that may be used to measure biomolecular structure and dynamics. Recent investigations have attempted to distinguish individual transfer RNA (tRNA) species based on the associated pore translocation times, ion-current noise, and blockage currents. By manufacturing sufficiently smaller pores, each tRNA is required to undergo a deformation to translocate. Accordingly, differences in nanopore translocation times and distributions may be used to infer the mechanical properties of individual tRNA molecules. To bridge our understanding of tRNA structural dynamics and nanopore measurements, we apply molecular dynamics simulations using a simplified "structure-based" energetic model. Calculating the free-energy landscape for distinct tRNA species implicates transient unfolding of the terminal RNA helix during nanopore translocation. This provides a structural and energetic framework for interpreting current experiments, which can aid the design of methods for identifying macromolecules using nanopores.

Indexed as

NanoporesMolecular Dynamics SimulationNanotechnologyRNA Folding

Identifiers

PMID32075749
PMCPMC7136281
OpenAlexW3005068428

What OpenQuestion holds

Textmetadata
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.