Evidence map›Paper›PMID 25648138›Full record

ArticleNanotechnology2015

DNA stretching and optimization of nucleobase recognition in enzymatic nanopore sequencing.

David Stoddart, Lorenzo Franceschini, Andrew Heron, Hagan Bayley, Giovanni Maglia

Open access · bronzeAbstract read
In one paragraph

Article in Nanotechnology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Single-molecule nanopore enzymology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Thermal Motion of DNA in an MspA Pore.Biophysical journal · 2015
    Article
  13. Article
  14. 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 3 institutions in 3 countries.

David StoddartUniversity of Oxford, Chemistry Research Laboratory, Oxford, UK.
Lorenzo Franceschini
Andrew Heron
Hagan Bayley
Giovanni Maglia
University of Oxford · GBKU Leuven · BEUniversity of Groningen · NL

Funding

Single-Molecule DNA Sequencing with Engineered NanoporesR01HG003709 · NHGRI · SCRIPPS RESEARCH INSTITUTE, THE · PI GHADIRI, M. REZA · 2005 to 2017
$13.2M
European Research Council 260884NHGRI NIH HHS R01 HG003709
6 · The paper itself

Abstract

In nanopore sequencing, where single DNA strands are electrophoretically translocated through a nanopore and the resulting ionic signal is used to identify the four DNA bases, an enzyme has been used to ratchet the nucleic acid stepwise through the pore at a controlled speed. In this work, we investigated the ability of alpha-hemolysin nanopores to distinguish the four DNA bases under conditions that are compatible with the activity of DNA-handling enzymes. Our findings suggest that in immobilized strands, the applied potential exerts a force on DNA (∼10 pN at +160 mV) that increases the distance between nucleobases by about 2.2 Å V(-1). The four nucleobases can be resolved over wide ranges of applied potentials (from +60 to +220 mV in 1 m KCl) and ionic strengths (from 200 mM KCl to 1 M KCl at +160 mV) and nucleobase recognition can be improved when the ionic strength on the side of the DNA-handling enzyme is low, while the ionic strength on the opposite side is high.

Indexed as

DNAElectricityHydrogen-Ion ConcentrationIonsNanoporesSequence Analysis, DNAStress, MechanicalDNAIons

Identifiers

PMID25648138
PMCPMC4410315
OpenAlexW1984722334

What OpenQuestion holds

Textmetadata
LicenceTDM
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.