Evidence map›Paper›PMID 30931380›Full record

ArticleAIMS materials science2015

Biomedical diagnosis perspective of epigenetic detections using alpha-hemolysin nanopore.

Yong Wang, Li-Qun Gu

Abstract read
In one paragraph

Article in AIMS materials science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

2 authors.

Yong WangDepartment of Biological Engineering, Dalton Cardiovascular Research Center, University of Missouri-Columbia, Columbia, MO 65211, USA.
Li-Qun GuDepartment of Biological Engineering, Dalton Cardiovascular Research Center, University of Missouri-Columbia, Columbia, MO 65211, USA.

Funding

Nanopore single-molecule dielectrophoresis and biomedical detectionR01GM114204 · NIGMS · UNIVERSITY OF MISSOURI-COLUMBIA · PI GU, LI-QUN (ANDREW) · 2015 to 2017
$887k
NIGMS NIH HHS R01 GM114204
6 · The paper itself

Abstract

The α-hemolysin nanopore has been studied for applications in DNA sequencing, various single-molecule detections, biomolecular interactions, and biochips. The detection of single molecules in a clinical setting could dramatically improve cancer detection and diagnosis as well as develop personalized medicine practices for patients. This brief review shortly presents the current solid state and protein nanopore platforms and their applications like biosensing and sequencing. We then elaborate on various epigenetic detections (like microRNA, G-quadruplex, DNA damages, DNA modifications) with the most widely used alpha-hemolysin pore from a biomedical diagnosis perspective. In these detections, a nanopore electrical current signature was generated by the interaction of a target with the pore. The signature often was evidenced by the difference in the event duration, current level, or both of them. An ideal signature would provide obvious differences in the nanopore signals between the target and the background molecules. The development of cancer biomarker detection techniques and nanopore devices have the potential to advance clinical research and resolve health problems. However, several challenges arise in applying nanopore devices to clinical studies, including super low physiological concentrations of biomarkers resulting in low sensitivity, complex biological sample contents resulting in false signals, and fast translocating speed through the pore resulting in poor detections. These issues and possible solutions are discussed.

Indexed as

abasic sitecancer biomarkerDNA damageDNA hydroxymethylationDNA methylationG-quadruplexguanine oxidationmicroRNAnanopore deviceα-hemolysin

Identifiers

PMID30931380
PMCPMC6436813

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.