Optimizing Droplet Digital PCR Assay for Precise Assessment of MEIS1 Gene Promoter Methylation

Optimizing Droplet Digital PCR Assay for Precise Assessment of MEIS1 Gene Promoter Methylation

DNA methylation is characterized as a gene regulatory mechanism that involves the methylation of the 5-carbon (C5) position of cytosine, resulting in the formation of 5-methylcytosine. The analysis of aberrantly methylated cytosine-phosphate-guanine (CpG) dinucleotides, primarily in the promoter reg...

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Bibliographic Details
Published in:Acta Medica Martiniana Vol. 24; no. 1; pp. 21 - 28
Main Authors: Samec Marek, Baranova Ivana, Zavhorodnia Iryna, Pec Martin, Pecova Renata, Lucansky Vincent
Format: Journal Article
Language:English
Published: Martin De Gruyter Poland 01-04-2024
Sciendo
Subjects:
Biomarkers
Cancer
ddpcr
DNA methylation
Medical diagnosis
Medical prognosis
meis1
methylation
Polymerase chain reaction
primer design
Sensitivity analysis
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Summary:DNA methylation is characterized as a gene regulatory mechanism that involves the methylation of the 5-carbon (C5) position of cytosine, resulting in the formation of 5-methylcytosine. The analysis of aberrantly methylated cytosine-phosphate-guanine (CpG) dinucleotides, primarily in the promoter regions of tumor suppressor genes, can serve as promising prognostic and predictive markers of cancer development. Meis homeobox 1 (MEIS1) gene, crucial for cell growth and differentiation, exhibits dysregulation linked to various cancer types, acting as both a positive and negative regulator. The selection of an appropriate method for the evaluation of gene promoter methylation status is important for clinical implementation without biases regarding false positive and false negative outcomes. The study focuses on the optimization of a novel droplet digital PCR (ddPCR) assay for identifying the methylation status of MEIS1. Compared to traditional methods, ddPCR offers an increased sensitivity and specificity, presenting a promising tool for precise DNA methylation assessment with potential implications for cancer diagnostics and prognostics.
ISSN:1335-8421
1338-4139
DOI:10.2478/acm-2024-0004