Data analysis was done with the QuantStudio Real-Time PCR Software version 1.3 (Applied Biosystems). Cycle threshold (Ct) values were reported as a representative estimation of bacterial load64 (link). Lower limit of detection was determined as Ct from negative DNA extraction protocol control Primer and probe sequences are listed in Supplementary Table
Quantstudio real time pcr software version 1
The QuantStudio Real-Time PCR Software version 1.3 is a software application used for the analysis and interpretation of real-time PCR data. It provides tools for data visualization, analysis, and reporting.
Lab products found in correlation
11 protocols using quantstudio real time pcr software version 1
Quantitative Analysis of Gut Microbiome
Data analysis was done with the QuantStudio Real-Time PCR Software version 1.3 (Applied Biosystems). Cycle threshold (Ct) values were reported as a representative estimation of bacterial load64 (link). Lower limit of detection was determined as Ct from negative DNA extraction protocol control Primer and probe sequences are listed in Supplementary Table
Splenic Cell RNA Expression Analysis
Quantifying Gene Expression by RT-PCR
Quantitative RT-PCR Analysis of Enzymes
Quantification of Inflammatory Gene Expression
Quantitative PCR Protocol for Gene Expression
Quantifying Transcript Expression Levels
Quantitative PCR Protocol Evaluation
Samples with a threshold cycle value between 10 and 40 of any probe or probe combination were identified. Preliminary sequence analysis indicated that samples reacting with only a single primer/probe or only the PS+gag combination were defective, and these samples were mostly omitted from further analysis. All other samples showing reactivity with two or more of the four qPCR probes were selected for further processing.
Real-Time PCR Threshold Analysis
RT-qPCR Analysis of PBMC RNA
Raw data were extrapolated using automated background subtraction and Ct threshold using the QuantStudio Real-Time PCR Software Version 1.1 (Thermo Fisher Scientific). Ct values were normalized according to the –ΔΔCt method: HPRT was adopted as housekeeping gene and the minor expressor as calibrator. Data were further standardized to the unit variance for computational analysis.
For the analysis of plasma microRNAs, the MSC test was performed as previously described (21 ).
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