Evidence map›Paper›PMID 33135722›Full record

ArticleBioscience reports2020

Electrochemically detecting DNA methylation in the EN1 gene promoter: implications for understanding ageing and disease.

Amy E Morgan, Katie D Acutt, Mark T Mc Auley

Open access · goldAbstract read
In one paragraph

Article in Bioscience reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
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

3 authors at 1 institution in 1 country.

Amy E MorganFaculty of Science and Engineering, University of Chester, Thornton Science Park, Pool Lane, Chester, CH2 4NU, U.K.
Katie D AcuttFaculty of Science and Engineering, University of Chester, Thornton Science Park, Pool Lane, Chester, CH2 4NU, U.K.
Mark T Mc AuleyFaculty of Science and Engineering, University of Chester, Thornton Science Park, Pool Lane, Chester, CH2 4NU, U.K.
University of Chester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a growing need for biomarkers which predict age-onset pathology. Although this is challenging, the methylome offers significant potential. Cancer is associated with the hypermethylation of many gene promoters, among which are developmental genes. Evolutionary theory suggests developmental genes arbitrate early-late life trade-offs, causing epimutations that increase disease vulnerability. Such genes could predict age-related disease. The aim of this work was to optimise an electrochemical procedure for the future investigation of a broad range of ageing-related pathologies. An electrochemical approach, which adopted three analytical techniques, was used to investigate DNA methylation in the engrailed-1 (EN1) gene promoter. Using synthetic single-stranded DNA, one technique was able to detect DNA at concentrations as low as 10 nM, with methylation status distinguishable at concentrations >25 nM. A negative correlation could be observed between % methylation of a heterogeneous solution and the key electrochemical parameter, charge transfer resistance (Rct; r = -0.982, P<0.01). The technique was applied to the breast cancer cell line Michigan Cancer Foundation-7 (MCF-7), where a similar correlation was observed (r = -0.965, P<0.01). These results suggest electrochemistry can effectively measure DNA methylation at low concentrations of DNA. This has implications for the future detection of age-related disease.

Indexed as

DNA MethylationElectrochemical TechniquesPromoter Regions, GeneticAgingBreast NeoplasmsDielectric SpectroscopyElectrodesFemaleGene Expression Regulation, NeoplasticGoldHomeodomain ProteinsHumansMCF-7 CellsPolymerase Chain ReactionSulfitesEN1 protein, humanGoldHomeodomain Proteinshydrogen sulfiteSulfitesAgingbiosensorelectrochemistrymethylation

Identifiers

PMID33135722
PMCPMC7670582
OpenAlexW3095294632

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.