2017
DOI: 10.21873/cgp.20057
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Role of Melt Curve Analysis in Interpretation of Nutrigenomics’ MicroRNA Expression Data

Abstract: Abstract. This article illustrates the importance of meltcurve analysis (MCA) (miR-184, miR-203, miR-373, miR-124, miR-96, miR-373 and miR301a)

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Cited by 15 publications
(11 citation statements)
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“…Additionally, related to income, a previous study concluded that people with higher education and income levels will have a better diet because they can afford diet costs [2, 20]. Our results provide another point of view different from the conventional idea of most previous studies; people who have higher socioeconomic status have better meals [2, 20, 41, 42] yet, their diet quality at the individual nutrient level shows insufficient in a certain nutrient.…”
Section: Discussioncontrasting
confidence: 58%
“…Additionally, related to income, a previous study concluded that people with higher education and income levels will have a better diet because they can afford diet costs [2, 20]. Our results provide another point of view different from the conventional idea of most previous studies; people who have higher socioeconomic status have better meals [2, 20, 41, 42] yet, their diet quality at the individual nutrient level shows insufficient in a certain nutrient.…”
Section: Discussioncontrasting
confidence: 58%
“…MicroRNAs (miRNAs) assume a pivotal role in controlling inborn and versatile immunity in humans and animals [ 23 ]. An aggregate of 1838 miRNAs was recognized, including 580 known-miRNAs (incorporated for the miRbase database) and 1258 anticipated novel miRNAs.…”
Section: Discussionmentioning
confidence: 99%
“…Fold change in mRNA levels was calculated by the Eq. 2 −ΔΔCt method [31]. Primer sequences are shown in the Table.…”
Section: Rna Extraction Reverse Transcription and The Quantitative Real-time Polymerase Chain Reaction (Qrt-pcr)mentioning
confidence: 99%