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Rotor gene q series software 2

Manufactured by Qiagen
Sourced in Germany, Australia

The Rotor-Gene Q Series Software 2.3.1 is a software application designed to operate the Rotor-Gene Q series of real-time PCR instruments. The software provides the necessary functionality to control the instrument, acquire data, and analyze the results of real-time PCR experiments.

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15 protocols using rotor gene q series software 2

1

SARS-CoV-2 Genotyping by qRT-PCR

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Viral RNA was extracted using a QIAamp Viral RNA Kit (QIAGEN GmbH, Hilden, Germany) according to the user manual. Purified RNA from each sample was used as a template for PCR amplification using a Verso SYBR Green One-Step qRT‒PCR Kit Plus ROX (Thermo Fisher Scientific, USA). The reaction mixture included 2ng RNA template, 70 nM final concentration of 5’-UTR genotype 4 specific primers F: 5’-ttcacgcagaaagcgtct-3’ and R:3’-ggtgcacggtctacgag-5’, 1.25µL of RT enhancer, 12.5µL of 2 × One-Step qPCR SYBR Mix, 0.25µL of Verso enzyme mix, and the volume was completed to 25µL with nuclease-free water. For amplification, the cycling conditions included a single round of cDNA synthesis at 55°C for 15 min followed by a polymerase activation cycle at 95°C for 15 min and 40 cycles of denaturation at 95°C for 15 s, annealing at 55°C for 30 s and extension at 72°C for 30 s. After PCR amplification, a melting curve analysis was performed by one cycle of denaturation at 95°C for 3 s, one cycle starting at 60°C for 30 s, and finally melting for 80 cycles at 60°C for 10 s with a 0.5°C increment/cycle. Fluorescence data were continuously collected during this heating to monitor the dissociation of the strands and the derivative melting curves were obtained with Rotor-Gene Q Series software 2.0.3 (QIAGEN GmbH, Hilden, Germany).
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2

miRNA Extraction and Quantification from Serum

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MicroRNA was purified from serum samples of all experiment groups using the Direct-zol™ RNA MiniPrep compatible with TRI Reagent ® (Catalog number R2050, ZYMO Research CORP, Irvine, CA). The samples were lysed and homogenized in lysis buffer of TRI Reagent, which contains phenol and guanidine thiocyanate solution to give the fast and best inhibition of RNase activity. The complete removal of DNA was performed by using DNase I digestion. miRNA purification and concentration were detected by nanodrop (A260/A280 > 1.8, A260/A230 > 1.8). The obtained miRNA was stored at -80°C until use.
Single-stranded complementary DNA (cDNA) was obtained from 1 µg of purified miRNA using the SensiFAST™ cDNA Synthesis Kit (Bioline, Catalog number BIO-65053, London, UK).
All PCR runs were performed on the Applied Biosystems Step One™ Instrument. The samples of the same group were run together to avoid any interrun variety. The preliminary tests were performed to determine the optimal condition for the used primer sequences (Table 1). The miRNA expression level was then calculated as described by Yuan et al. (2016) using Applied Biosystems Step One Instrument software. The obtained qRT-PCR data were analyzed by plotting the expression of the dedicated genes using the expression of 2 -ΔΔCT as extracted from amplification curves by the Rotor-Gene Q Series Software 2.0.3 (Qiagen, Hilden, Germany).
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3

Quantitative RT-PCR Analysis of Adipogenesis Regulators

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Reverse transcription-polymerase chain reaction (RT-PCR) was performed to confirm the expression of regulators in fat metabolism using test substances in differentiated 3T3-L1 cells. Changes in mRNA levels of CCAAT/enhancer-binding protein-alpha (C/EBPα), peroxisome proliferator-activated receptor-γ (PPARγ), leptin, and Fas, regulators involved in fat metabolism, were analyzed using RT-PCR and shown in Table 1. Total RNA was isolated using TRI reagent (Sigma, St. Louis, MO, USA), cDNA was synthesized using Power cDNA synthesis kit (iNtRON, Seoul, Republic of Korea), according to the manufacturer’s instructions, and real-time PCR was performed using SYBR green and each primer. PCR was performed using a real-time PCR machine (Corbett, Mortlake, Australia), and gene expression was quantified and analyzed using Rotor-Gene Q Series Software 2.3.1. (Qiagen, Hilden, Germany).
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4

Rapid Respiratory Virus Detection in NPA

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Antigen detection for RSV in NPA was done by IFA (D3 Ultra Respiratory Virus Screening and ID Kit—Diagnostic Hybrids, United States—Catalog No: 01-010000.v2) along with seven viruses: RSV, influenza-A (Inf-A), Inf-B, adenovirus, para influenza-1 (PIV-1), PIV-2, and PIV-3. Fluorescence microscopy for IFA was done under Leitz Diaplan and Zeiss Axio-cam fluorescent microscopes, Germany for the detection of cells expressing specific antigens for these seven viruses with positive and negative controls. Detailed findings on Inf-A, Inf-B and PIV-1, PIV-2 and PIV-3 are presented in two research articles published from the same program (Rafeek et al., 2021 (link), 2022 (link)).
Nucleic acid extraction from IFA positive samples for RSV was conducted using QIAamp Viral RNA Mini Kit (Qiagen, Germany, Catalog No: 52906). Extracted RNA were tested by a real-time reverse transcription polymerase chain reaction (rtRT-PCR) for RSV subtyping (RealStar® RSV RT-PCR Kit 3.0 Altona Diagnostics, Germany, Catalog No: 193013), using the Rotor-Gene 6,000 real time PCR machine and Rotor-Gene Q Series Software 2.3.1 (Corbett Life Science, Australia).
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5

Optimizing Housekeeping Gene Selection for qPCR

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The primers of nine RGs (Table 2) were chosen due to their different biological functions and irrelevance. Metabolism-related genes: glyceraldehyde-3-phosphate dehydrogenase (GAPDH), beta-2-microglobulin (B2M); ribosomal genes: ribosomal protein large P0 (RPLP0); cellular structure and cytoskeleton: beta-actin (ACTB); transcription and translation: eukaryotic translation elongation factor 1 alpha 1 (EEF1A1), TATA box binding protein (TBP); cell signaling and regulation: peptidylprolyl isomerase A (PPIA), tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein, zeta (YWHAZ); nucleotide metabolism: hypoxanthine phosphoribosyltransferase 1 (HPRT1). GAPDH, B2M, EEF1A1, RPLP0, PPIA, and YWHAZ were referenced from a previous report [35 (link),38 (link)]. ACTB, TBP, and HPRT1 were designed using the PrimerQuest™ tool at an annealing temperature of 60 °C and analyzed using OligoAnalyzer 3.1, a software that confirms the absence of hairpins, homodimers, and heterodimers. To evaluate primer efficiency, RT-qPCR was performed with the 10-fold diluted cDNA of the SF-MSCs, following a previously established protocol [38 (link)]. Standard curve parameters were calculated using the RotorGene Q Series software 2.1.0 (Qiagen, Hilden, Germany).
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6

Analyzing Pluripotency and Apoptosis in DP-MSCs

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The relative mRNA expression levels of pluripotent markers (NANOG and OCT4) and apoptotic markers (BAK and BAX) were analyzed by qRT-PCR in triplicates. Total RNA from DP-MSCs treated with or without 10 μM S1P (Cayman chemical, Ann Arbor, MI, USA) in a culture medium for 1 h was extracted using the easy-spinTM Total RNA Extraction Kit (iNtRON Biotechnology, Seongnam, South Korea) according to the manufacturer’s instructions. The RNA was quantified using an OPTIZEN NANO Q spectrophotometer (Mecasys, Daejeon, South Korea), and cDNA was synthesized with 500 ng of RNA using HiSenScriptTM RH(-) RT PreMix Kit (iNtRON Biotechnology). qRT-PCR was performed using RealMODTM Green AP 5x qPCR mix (iNtRON Biotechnology) and specific primers for the genes. The PCR reaction cycle consisted of an initial activation at 95 °C for 12 min, followed by 40 cycles of PCR at 95 °C for 15 s, 60 °C for 25 s, and 72 °C for 25 s. The amplification curves, melting curves, and cycle threshold values (Ct values) were analyzed using the Rotor-Gene Q Series Software 2.1.0 (Qiagen, Helden, Germany). The Ct values were normalized to the expression level of the housekeeping gene, ACTB, and all samples were analyzed in triplicate to ensure reproducibility. The relative mRNA expression levels were calculated using the 2−ΔΔCt method. The primers used in this study are listed in Table 1.
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7

High-Resolution Melting Analysis of DNA

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HRM data were generated with the Rotor-Gene™ 6000 and the Rotor-Gene Q Series Software 2.1.0 (Qiagen, Germany).
The final reaction volume of 10 μl contained 1× HRM mastermix (HOT FIREPol® EvaGreen® HRM Mix, Solis BioDyne, Estonia), 150 nM of the forward and reverse primer each, and 2 ng genomic DNA. All samples and ‘no template controls’ (NTC) were analysed in duplicates.
The HRM analysis with pre-amplification was performed with an initial phase of 14 min at 95 °C, 45 cycles of 95 °C/ annealing temperature depending on the primer pair (Online Resource 1)/72 °C for 10 s/ 20 s/ 20 s. After PCR, a hold of 95 °C/1 min was implemented for complete denaturing of all nucleotide strands. HRM was done with a ramp of ~ 10 °C around the melting point of the synthesized DNA fragment (Online Resource 1) and in increments of 0.1 °C and 1 s hold before the temperature increase.
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8

Quantification of Calpox Virus DNA

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In order to determine the load of calpox virus in various organs and body fluids, a real-time PCR targeting the gene region of the ankyrin repeat-containing protein (GenBank accession number HQ420898) was used. A quantified molecular DNA standard with the target DNA cloned into a TOPO-TA vector (Invitrogen, Karlsruhe, Germany) was applied to calculate the concentration of calpox viral DNA either per gram of tissue or per microliter of blood. The TaqMan® Universal PCR Master Mix (Thermo Fisher Scientific (formerly Life Technologies), Darmstadt, Germany) was used as follows: 7.5 µL of TaqMan® Universal PCR Master Mix was mixed with 1 µL of each primer at a concentration of 10 nmol (Calp1for: 5′-CCggCATgCgTgACTgAATT-3′ and Calp1rev 5′-TAAgATgCgAgCCgAgAAgC-3′), 0.5 µL of the 10 nmol of TaqMan probe TIB-1 (FAM -TgCTCCgTgTTCTACCATCgTgCg-TAMRA), 4 µL molecular biology grade water and 1 µL of the extracted DNA. Oligonucleotides were synthesized by TIB Molbiol (Berlin, Germany). The real-time PCR was performed using the 5-Plex Rotor-Gene Q (Qiagen, Hilden, Germany) and the following cycling conditions were applied: initial activation at 95 °C for 10 min, and 45 cycles of 94 °C for 15 s, and 58 °C for 45 s. Absolute quantification was conducted via Rotor-Gene Q Series Software 2.1.0 (Qiagen, Hilden, Germany).
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9

Genotyping by qPCR-HRM Analysis

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Individuals (genotyped using conventional PCR) were classified into five groups based on genotype type (3/3, 4/4, 3/4, 4/5, 5/5) and the results were tested by qPCR-HRM. PCR master mixtures contained 100 ng of genomic DNA (all gDNA samples were quantified using The Quant-iTTM dsDNA Assay Kit; Life Technologies, Carlsbad, CA, USA), 250 nM of each primer, 4 μl of 5x AmpliQ HOT EvaGreen HRM Mix (Novazym, Poznań, Poland) and nuclease-free water (AppliChem GmbH, Darmstadt, Germany) in a total volume of 20 μl. The qPCR-HRM analysis was performed a Rotor-Gene Q instrument (QIAGEN GmbH, Hilden, Germany). The qPCR-HRM thermal profile was as follows: 15 min at 95°C for initial denaturation, subsequent 40 cycles (denaturation at 95°C for 15 s, primer annealing at 61°C for 20 s and product synthesis at 72°C for 20 s) and final elongation at 72°C for 1 min for complete product extension. Final elongation was then followed by pre-hold temperatures − 95°C for 15 s and 50°C for 15 s for product re-association and heteroduplex formation. Fluorescence data acquisition (melting curves) was performed during the melting phase (temperature change from 70 to 95°C at a transition rate of 0.1°C each step). High resolution melting curve analysis was performed using the Rotor-Gene Q Series Software 2.3.1 (QIAGEN GmbH, Hilden, Germany).
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10

Multivariate Analysis of PCR-HRM and Pyrosequencing Data

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The amplification and melting curves obtained by PCR-HRM were assessed and exported using Rotor-Gene Q Series Software 2.3.1 (Qiagen). The PSQ data were evaluated and exported with PyroMark Q24 Advanced software 3.0.0 (Qiagen). The exported data were analyzed and are presented graphically using R version 3.6.2 [37 ]. The R-packages used, including corrplot, ggplot2, polynom, rstatix, survival, and survminer, are listed in the Supplementary File R-packages.
For HRM analysis, derivative melting curves were calculated from normalized melting curves by applying Savitzky–Golay filtering for third-degree polynomials. DNA methylation levels obtained by PSQ ≤ 5.00% (lower limit of quantification, LLOQ) and ≥95.00% (upper limit of quantification, ULOQ) were substituted with default values, namely 2.50% and 97.50%, respectively [38 ].
One-way ANOVA (analysis of variance) followed by a post hoc t-test corrected for multiple testing by Holm’s p-value adjustment was applied to test for significant differences between the groups. Groups consisting of only one member were excluded from testing. A scatterplot and Pearson´s correlation coefficient were used to assess the relationship between two quantitative variables. A Kaplan–Meier estimator with a log-rank test was used to analyze the survival data. p-values ≤ 0.05 were considered statistically significant.
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