Fluorescence Melting Curve Analysis for Concurrent Genotyping of Three Tag SNPs in FUT3

Fluorescence melting curve analysis for genotyping of c.1396G > A (rs473267) of phosphoglucomutase-3 gene

Phosphoglucomutase-3 (PGM3) is an enzyme that plays a pivotal role in glycosylation, the process of adding glycan sugars to other glycans, proteins, or lipids. It plays a crucial role in many physiological functions and pathological conditions. PGM3 has a functional variant, c.1396G > A (rs473267). Our previous research indicated that this polymorphism may be associated with the development of diabetic nephropathy and diabetic neuropathy in a Japanese population. In this study, we developed a fluorescence melting curve analysis (FMCA) using a TaqMan probe to identify the c.1396G > A of PGM3. The validity of this method was ascertained using 67 subjects of Mexican ancestry from the 1000 Genomes Project. The present FMCA method was validated because the results obtained in the FMCA were in perfect agreement with the database sequence results of 67 subjects. The FMCA method is a valuable tool for investigating the association between the c.1396G > A polymorphism in PGM3 and various pathological conditions across diverse populations.

Programmable DNA barcode-encoded exponential amplification reaction for the multiplex detection of miRNAs

Multiple analysis of miRNAs is essential for the early diagnosis and monitoring of diseases. Here, a programmable, multiplex, and sensitive approach was developed for one-pot detection of miRNAs by melting temperature encoded sequences and exponential isothermal amplification (E-EXPAR). In the presence of target miRNAs, the corresponding templates initiate the cycles of nicking and polymerization/displacement, generating numerous barcode strands with unique encoding sequences. Subsequently, generated barcode strands hybridize with fluorescent probes and quench the fluorophore by a triplet of G base through a photo-induced electron transfer mechanism. Finally, a melting curve analysis is performed to quantify miRNAs by calculating the rate of fluorescence change at the corresponding melting temperature. Based on this, miRNA-21, miRNA-9, and miRNA-122 were detected with the detection limits of 3.3 fM, 2.9 fM, and 1.7 fM, respectively. This E-EXPAR was also employed to simultaneously detect three miRNAs in biological samples, showing consistent results with RT-qPCR. Overall, this study provides a programmable and universal platform for multiplex analysis of miRNAs, and holds great promise as an alternative to the multiplex analysis in clinical diagnostics and prognostics for nucleic acid detection.

Estimation of Lewis Blood Group Status by Fluorescence Melting Curve Analysis in Simultaneous Genotyping of c.385A>T and Fusion Gene in FUT2 and c.59T>G and c.314C>T in FUT3

Lewis blood group status is determined by two fucosyltransferase activities: those of FUT2-encoded fucosyltransferase (Se enzyme) and FUT3-encoded fucosyltransferase (Le enzyme). In Japanese populations, c.385A>T in FUT2 and a fusion gene between FUT2 and its pseudogene SEC1P are the cause of most Se enzyme-deficient alleles (Se^w and se^fus), and c.59T>G and c.314C>T in FUT3 are tag SNPs for almost all nonfunctional FUT3 alleles (le⁵⁹, le^59,508, le^59,1067, and le^202,314). In this study, we first conducted a single-probe fluorescence melting curve analysis (FMCA) to determine c.385A>T and se^fus using a pair of primers that collectively amplify FUT2, se^fus, and SEC1P. Then, to estimate Lewis blood group status, a triplex FMCA was performed with a c.385A>T and se^fus assay system by adding primers and probes to detect c.59T>G and c.314C>T in FUT3. We also validated these methods by analyzing the genotypes of 96 selected Japanese people whose FUT2 and FUT3 genotypes were already determined. The single-probe FMCA was able to identify six genotype combinations: 385A/A, 385T/T, se^fus/se^fus, 385A/T, 385A/se^fus, and 385T/se^fus. In addition, the triplex FMCA successfully identified both FUT2 and FUT3 genotypes, although the resolutions of the analysis of c.385A>T and se^fus were somewhat reduced compared to that of the analysis of FUT2 alone. The estimation of the secretor status and Lewis blood group status using the form of FMCA used in this study may be useful for large-scale association studies in Japanese populations.