Evidence map›Paper›PMID 38849705›Full record

ArticleGenes & genomics2024

High-Resolution Melting (HRM) analysis of DNA methylation using semiconductor chip-based digital PCR.

Jinuk Jeong, Yongsu Yang, Min-Sik Song, Hee-Young Won, Andrew T Han, Songmi Kim

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Article in Genes & genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2 citing papers in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Jinuk JeongCenter for Bio-Medical Engineering Core Facility, Dankook University, Cheonan, 31116, Republic of Korea.
Yongsu YangDepartment of Microbiology, College of Bio-Convergence, Dankook University, Cheonan, 31116, Republic of Korea.
Min-Sik SongBIO Institute, OPTOLANE Technologies Inc, Seongnam, South Korea.
Hee-Young WonBIO Institute, OPTOLANE Technologies Inc, Seongnam, South Korea.
Andrew T HanBIO Institute, OPTOLANE Technologies Inc, Seongnam, South Korea.
Songmi KimSmart Animal Bio Institute, Dankook University, Cheonan, 31116, Republic of Korea. songmik66@gmail.com.ORCID 0000-0002-5497-1174

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital PCR (dPCR) technology allows absolute quantification and detection of disease-associated rare variants, and thus the use of dPCR technology has been increasing in clinical research and diagnostics. The high-resolution melting curve analysis (HRM) of qPCR is widely used to distinguish true positives from false positives and detect rare variants. In particular, qPCR-HRM is commonly used for methylation assessment in research and diagnostics due to its simplicity and high reproducibility. Most dPCR instruments have limited fluorescence channels available and separate heating and imaging systems. Therefore, it is difficult to perform HRM analysis using dPCR instruments.

objectiveA new digital real-time PCR instrument (LOAA) has been recently developed to integrate partitioning, thermocycling, and imaging in a single dPCR instrument. In addition, a new technique to perform HRM analysis is utilized in LOAA. The aim of the present study is to evaluate the efficiency and accuracy of LOAA dPCR on HRM analysis for the detection of methylation.

methodsIn this study, comprehensive comparison with Bio-Rad qRT-PCR and droplet-based dPCR equipment was performed to verify the HRM analysis-based methylation detection efficiency of the LOAA digital PCR equipment. Here, sodium bisulfite modification method was applied to detect methylated DNA sequences by each PCR method.

resultsMelting curve analysis detected four different Tm values using LOAA and qPCR, and found that LOAA, unlike qPCR, successfully distinguished between different Tm values when the Tm values were very similar. In addition, melting temperatures increased by each methylation were about 0.5℃ for qPCR and about 0.2 ~ 0.6℃ for LOAA. The melting temperature analyses of methylated and unmethylated DNA samples were conducted using LOAA dPCR with TaqMan probes and EvaGreen, and the result found that Tm values of methylated DNA samples are higher than those of unmethylated DNA samples.

conclusionThe present study shows that LOAA dPCR could detect different melting temperatures according to methylation status of target sequences, indicating that LOAA dPCR would be useful for diagnostic applications that require the accurate quantification and assessment of DNA methylation.

Indexed as

DNA MethylationReal-Time Polymerase Chain ReactionHumansNucleic Acid DenaturationReproducibility of ResultsSemiconductorsTransition TemperatureDigital PCRHigh-Resolution Melting Curve analysisMethylation-Sensitive HRM analysisMolecular diagnosisQuantitative PCR

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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.