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Real time pcr analysis software

Manufactured by Standard BioTools
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Real-Time PCR Analysis software is a tool that enables the analysis and interpretation of data generated from real-time PCR experiments. It provides users with the necessary functions to process, visualize, and analyze the acquired real-time PCR data.

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82 protocols using real time pcr analysis software

1

Quantifying Interferon-Stimulated Genes in PBMCs

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Total RNA from human PBMCs were converted to cDNA (High Capacity RT kit, Life Technologies) and preamplified by limited PCR (PreAmp Master Mix, Life Technologies) with a pool of 96 primers (DeltaGene, Fluidigm). We looked at 38 ISGs in this pool of 96 primers53 (link)-56 (link). Preamplified cDNAs were treated with ExonucleaseI (New England Biolabs) and diluted to remove unused primers and dNTPs and loaded onto a 96.96 Dynamic Array IFC for real-time PCR analysis on a BioMarkHD (Fluidigm). Analysis was performed, using Fluidigm’s Real Time PCR Analysis Software to determine Ct values, using linear (derivative) baseline correction and auto-detected, assay-specific threshold determination. Ct values were standardized to 3 housekeeping genes (DOCK2, EEF1A1, and FAM105B) that showed high correlation across samples to correct for sample input differences57 . Four samples from same donor and same draw were run on both Fluidigm assays. The mean of the Ct values were used for analysis. Human sample size was based on availability of IFIH1NR/NR and IFIH1R/R subjects.
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2

Microfluidic qPCR Array for Splicing and Fatty Acid Metabolism

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A qPCR dynamic array based on microfluidic technology (Fluidigm, San Francisco, CA, USA) was used to simultaneously determine the gene expression of 14 components of the fatty acid metabolism, as well as of different components of the major spliceosome (n = 13), minor spliceosome (n = 4), and associated splicing factors (n = 14) in LNCaP and DU145 cell lines overexpressing miR-107 (Table S1). The expression of FASN was also determined in the prostate normal-like cell model (PNT2) in response to miR-107 overexpression. Moreover, the expression of three housekeeping genes (ACTB, GAPDH, and HPRT) was analyzed in the same samples. Specific primers for these transcripts were specifically designed with the Primer3 software and StepOne Real-Time PCR System software v.2.3 (Applied Biosystems, Foster City, CA, USA). Preamplification, exonuclease treatment, and qPCR dynamic array based on microfluidic technology were implemented as previously reported,49 (link),52 (link) following manufacturer's instructions, using the Biomark System and the Real-Time PCR Analysis Software (Fluidigm).
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3

Serotype-Specific Antibody Responses

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Participant characteristics were represented as mean (range) for numerical values and number (percentage) for categorical values. Serotype-specific serum IgG, IgM (μg/ml) and OPA titers were reported as geometric mean concentrations or titers (95% confidence interval), respectively. IgG, IgM levels and OPA titers were log-transformed to approximate normal distribution prior to statistical analysis. Pre- to 1-month post-vaccination comparison within the groups were calculated using paired t-test; differences within the groups were calculated using Wilcoxon rank-sum test. Correlations were determined by Pearson’s correlation coefficient. All statistical analyses were performed using Prism software (GraphPad). Single cell qPCR data was analyzed using Fluidigm Real Time PCR analysis software with Auto Ct Threshold method and also Singular package for R. ANOVA was performed and violin plots of differentially expressed genes that were ranked by p-value were created. P values < 0.05 were considered significant.
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4

Single-Cell RNA Sequencing Using Fluidigm

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The C1 Single-Cell Auto Prep Array for PreAmp (Fluidigm) was used for harvest of RNA, cDNA synthesis, and preamplification of cDNA (18 cycles of PCR for the target genes) from single cells according to the manufacturer’s instructions. After loading cells onto an integrated fluidic circuit, we checked all 96 chambers by microscope to verify capture of a single cell. Thereafter, preamplified cDNA was harvested and subjected to qPCR. The Biomark HD system (Fluidigm) combined with EvaGreen chemistry (Bio-Rad) was used for the qPCR assay. To increase specificity, we used nested primers (one pair for the preamplification step and another pair for the subsequent qPCR of 30 cycles). The sequences of the primers used in this study are indicated in Table S3. Raw data were processed by Fluidigm Real-Time PCR analysis software, and the melting curve was used to determine the pass/failure call of qPCR. Data were analyzed with the R program using the Singular Analysis Toolset package (Fluidigm). Any chamber that contained more than one cell was excluded from analysis; outlier cells that had low global expression were also excluded. The level of detection value was set to 24 cycles according to the manufacturer’s recommendation.
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5

Protein Profiling Normalization Protocol

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The raw data of the protein profiling were first normalized following the standard protocol from the manufacturer and using the Olink Wizard of GenEx software (MultiD, Göteborg, Sweden). For each data point, the raw quantification cycle value (Cq-value, in log2 scale) was exported from the Fluidigm Real-Time PCR Analysis Software. The Cq-value is defined as the calculated cycle number at which the PCR product crosses a threshold of detection and is used to represent the expression levels of respective proteins in the current study. The first step of normalization was to subtract the raw Cq-value for the extension control for the corresponding sample to correct for technical variation. The calculated Cq-values (dCq-value) were further normalized against the negative control determined in the measurement, which yielded ddCq-values (hereafter, Cq-value, in log2 scale) and could be used for further analyses. Limit of detection (LOD) was defined as the mean value of the three negative controls plus three calculated standard deviations. A total of 30 samples with invalid test results were excluded from this analysis. Missing data and data with a value lower than LOD were replaced with LOD in the following statistical analyses.
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6

Biomark HD qPCR Protocol for Gene Expression

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Biomark HD with a 96.96 IFC was used for the RT-qPCR amplification, as previously described [17 (link)]. Briefly, for each sample, a 6 µL sample mix containing 3 µL of 2× SsoFast EvaGreen Supermix with low ROX (Bio-Rad Laboratories, Hercules, CA, USA), 0.3 µL of 20× DNA Binding Dye (Fluidigm), and 2.7 µL of the pre-amplified sample was prepared. A primer stock (100 μM combined forward and reverse primers) was prepared for each assay, and 0.3 µL of the stock was mixed with 3 µL of 2× Assay Loading Reagent (Fluidigm) and 2.7 µL 1× DNA Suspension Buffer to make assay mixes. Finally, 5 μL of each assay and sample mix was transferred into the appropriate inlets according to Fluidigm’s recommendation. After loading, the array was placed in the Biomark HD instrument for quantification and detection using the GE Fast 96 × 96 PCR + Melt v2.pcl PCR thermal protocol. The data were analyzed with Real-Time PCR Analysis Software (Fluidigm) according to Fluidigm’s recommendation. A non-template cDNA/pre-amplification and a non-template pre-amplification control (H2O) were included and were finally defined as those with Ct values ≥ 35 or that were undetermined.
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7

High-Throughput Gene Expression Analysis

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High-throughput gene expression analysis was performed following standard BioMark (Fluidigm) qPCR protocol #8. cDNA was synthesized from total RNA (1.2 μg) using EasyScript Plus cDNA Synthesis Kit (Applied Biological Materials) and stored at −20 °C. Primers were designed using Universal Probe Library Assay Design Center (Roche Applied Science, https://www.roche-applied-science.com/sis/rtpcr/upl/index.jsp). The primers and probes for those assays that passed the quality control test and were used in this study are listed in Supplementary Table 1. cDNA (100 ng, calculated from initial RNA) samples were pre-amplified for 12 cycles using TaqMan PreAmp Master Mix (Applied Biosystems). qPCR reactions were performed using BioMark Dynamic Arrays (Fluidigm) with 40 cycles of amplification (15 s at 95 °C, 5 s at 70 °C, and 60 s at 60 °C). Ct values were calculated by the Real-Time PCR Analysis Software (Fluidigm) and software-designated failed reactions were discarded from analysis. Relative gene expression was determined by the ΔΔCt method. Modified geNorm algorithm in R was used to identify the set of most stable reference genes, Idh3B and Mrpl16 were selected for normalization.
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8

Quantitative Analysis of miRNA Profiles

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Data was first analyzed on Real Time PCR Analysis software (Fluidigm) with the quality threshold set at 0.5, baseline correction set to linear (derivative), and Ct threshold method set to auto (detectors). The data was further analyzed in R (version 2.14.1) through the following pipeline: Ct values < 5 or >28 were removed per Fluidigm recommendations: miRNAs that were detected in less than 60% of patient samples were removed from analysis; missing Ct values were replaced with the limit of detection (highest Ct value within the standard curve) + 0.1, and 4) the data were global mean-normalized per plate to account for inter-plate differences.
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9

Quantitative Analysis of miRNA Profiles

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Data was first analyzed on Real Time PCR Analysis software (Fluidigm) with the quality threshold set at 0.5, baseline correction set to linear (derivative), and Ct threshold method set to auto (detectors). The data was further analyzed in R (version 2.14.1) through the following pipeline: Ct values < 5 or >28 were removed per Fluidigm recommendations: miRNAs that were detected in less than 60% of patient samples were removed from analysis; missing Ct values were replaced with the limit of detection (highest Ct value within the standard curve) + 0.1, and 4) the data were global mean-normalized per plate to account for inter-plate differences.
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10

High-throughput Real-time PCR Amplification

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The BioMarkTM real-time PCR system (Fluidigm, USA) was used for high-throughput microfluidic real-time PCR amplification using the 48.48 dynamic arrays (Fluidigm) as described [14] (link). In short, amplifications were performed using 6-carboxyfluorescein (FAM)- and black hole quencher (BHQ1)-labeled TaqMan probes with TaqMan Gene expression master mix (Applied Biosystems, France). The thermal profile comprised 2 min at 50 °C and 10 min at 95 °C, followed by 40 cycles of a 2-step amplification profile consisting of 15 s at 95 °C for denaturation and 1 min at 60 °C for annealing and extension. Data were acquired on the BioMarkTM Real-Time PCR System and analyzed using the Fluidigm Real-time PCR Analysis software to obtain cross point (Cp) values. Negative controls with water were included per chip. The detection of D. reticulatus DNA served as a confirmation of the tick species tested and as a positive control of the DNA extraction. A positive processing control, which is a DNA extract from the EDL933 strain of Escherichia coli, was added to each sample.
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