Rotor gene q hrm
The Rotor-gene Q HRM is a real-time PCR cycler designed for high-resolution melt analysis (HRM). It features multiplexing capabilities, thermal gradient options, and a high-resolution melt analysis module.
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9 protocols using rotor gene q hrm
Gene Expression Profiling by RT-qPCR
Gene Expression Profiling by Real-Time PCR
RNA Extraction and Transcription Analyses
Circulating miRNA Profiling in Plasma
Total RNA was extracted from 100 μl of plasma-EDTA using the total RNA Purification kit from Norgen Biotek Corporation (Thorold, ON, Canada) according to the manufacturer’s guidelines. Circulating miRNA levels were analyzed as described in Olivieri et al. (2014 (link)) using a modified real-time approach with the TaqMan miRNA reverse transcription kit and the miRNA assay from Applied Biosystems (Foster City, CA, USA). qPCR reactions were performed on a RotorGene Q HRM instrument (Qiagen, Germany). The plasma levels of circulating miRNAs are reported as relative expression (RE) normalized to the mean of spiked-in synthetic non-human cel-miR-39. The relative expression of each miRNA was reported as 2−ΔCt, with ΔCt being the difference between the Cts of a specific miRNA and those of the cel-miR-39. Cel-miR-39 was used also for the assessment of miRNA recovery from biological samples. Only those samples with a cel-miR-39 recovery higher than 95% were processed for inflamma-miRNA quantification. Each reaction was performed in duplicate.
Real-time qPCR Gene Expression Analysis
Optimized qPCR Protocol for Target DNA
Quantitative PCR Melting Analysis
FO-PCR-MA data acquisition was done with the in-house developed LabView program (National Instruments, Austin, TX, USA) to control two spectrometers and the NiDaq coupled thermocouples. By combining the SPR and thermocouple data, a first order derivative could be calculated for each PCR melting cycle. The resulting melting peak was fitted in Matlab (MathWorks, Natick, MA, USA) using a Gaussian fit to determine the Tm and evaluate the melting peak shape for each PCR cycle. The threshold was calculated as xNTC + 3 σnoise, where xNTC is the average value of the non-template control (n = 40 cycles) and σnoise equals one standard deviation.
The intraclass correlation coefficient (ICC) [30 ], which assesses the reliability of ratings by comparing the variability of different ratings of the same object, was calculated with the statistical package R (version 2.11.1, R foundation for Statistical Computing, Vienna, Austria).
Quantitative RT-PCR for Cultured ESCs
Quantitative Gene Expression Analysis
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