Quantstudio design and analysis software v1
QuantStudio Design and Analysis Software v1.5.1 is a software application developed by Thermo Fisher Scientific for the analysis of data generated from their QuantStudio real-time PCR systems. The software provides tools for experimental design, data analysis, and result visualization.
Lab products found in correlation
36 protocols using quantstudio design and analysis software v1
Quantitative Analysis of Interferon Response Genes
Quantitative Analysis of Chemokine Expression in Murine Bone Marrow-Derived Macrophages
Optimized qPCR Protocol for Gene Expression
Multiplex qPCR Serotyping of Listeria monocytogenes
Multiplex qPCR for Listeria Prescreen
RNA Extraction and RT-qPCR Analysis
Relative quantitative RNA was normalized using the housekeeping gene β-actin. Primers were designed using NCBI Primer-BLAST (
Quantitative Analysis of Angiogenic Factors
SARS-CoV-2 Quantitative RT-PCR Detection
Identifying Optimal Housekeeping Genes
For cDNA synthesis, 1 μg of RNA was reverse transcribed by random priming with SuperScript Vilo MasterMix (Invitrogen, USA) following manufacturer’s instructions, and then cDNA samples were tested by the Taqman Array Human Endogenous Control (ThermoFisher Scientific, Waltham, MA, USA) containing 32 housekeeping candidates. About 10 ng of cDNA per sample was amplified in triplicate in a 20 μL reaction volume in presence of Taqman Universal Master Mix II, no UNG (ThermoFisher Scientific, USA). Reaction conditions: 10′ at 95 °C followed by 40 cycles (15″ at 95 °C, 60″ at 60 °C). Results were visualized by QuantStudio Design and Analysis Software v. 1.5.2 (ThermoFisher Scientific, USA) and by the RT2 Profiler PCR Array data analysis tool (Qiagen, Hilden, Germany). Genes with the higher consistency across tissues were evaluated by comparing cycle threshold (Ct). Relative expression was obtained by normalization to one of the 32 putative housekeeping analyzed.
To evaluate results, mean relative expression from the 3 AIS cases was used.
SARS-CoV-2 Detection by Quantitative RT-PCR
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