Evidence map›Paper›PMID 36067175›Full record

ArticlePloS one2022

Methylation levels assessment with Methylation-Sensitive High-Resolution Melting (MS-HRM).

Sally Samsø Mathiasen, Jan Bińkowski, Tina Kjeldsen, Tomasz K Wojdacz, Lise Lotte Hansen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Sally Samsø MathiasenDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
Jan BińkowskiIndependent Clinical Epigenetics Laboratory, Pomeranian Medical University in Szczecin, Szczecin, Poland.
Tina KjeldsenDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
Tomasz K WojdaczDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.ORCID 0000-0001-6003-2432
Lise Lotte HansenDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
Aarhus University · DKPomeranian Medical University · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Testing for disease-related DNA methylation changes provides clinically relevant information in personalized patient care. Methylation-Sensitive High-Resolution Melting (MS-HRM) is a method used for measuring methylation changes and has already been used in diagnostic settings. This method utilizes one set of primers that initiate the amplification of both methylated and non-methylated templates. Therefore, the quantification of the methylation levels using MS-HRM is hampered by the PCR bias phenomenon. Some approaches have been proposed to calculate the methylation level of samples using the high-resolution melting (HRM) curves. However, limitations of the methylation calculation using MS-HRM have not been evaluated systematically and comprehensively. We used the Area Under the Curve (AUC), a derivative of the HRM curves, and least square approximation (LSA) to establish a procedure that allowed us to infer methylation levels in an MS-HRM experiment and assess the limitations of that procedure for the assays' specific methylation level measurement. The developed procedure allowed, with certain limitations, estimation of the methylation levels using HRM curves.

Indexed as

DNA MethylationDNA PrimersHumansPolymerase Chain ReactionDNA Primers

Identifiers

PMID36067175
PMCPMC9447921
OpenAlexW4294795612

What OpenQuestion holds

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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.