The 96-well Mouse Inflammasome RT Profiler PCR Arrays (SA Biosciences/Qiagen, Shanghai, China), containing primer pairs for 84 key genes involved in the NLR inflammasome pathway, were probed with cDNA template in the presence of SuperArray PCR master mix (Qiagen, Shanghai, China), and the PCR analysis was performed on a Bio-Rad iCycler (USA). The arrays were probed with cDNA from 3 treatments (12 h, 24 h and the control group) in duplicate, and the results were analyzed by Excel-based PCR Array Data Analysis software (SA Biosciences, Shanghai, China) for threshold cycle (Ct) value determination. The Ct of the genes was normalized to that of housekeeping genes (the average Ct of Actb, B2m, Gapdh and Hsp90ab1). The relative expression level of each target gene in infected cells was calculated as 2-ΔΔCt (fold change), where ΔΔCt represents the Ct (sample) - Ct (control).
Superarray pcr master mix
SuperArray PCR master mix is a laboratory reagent used for performing real-time PCR experiments. It contains all the necessary components for gene expression analysis, including DNA polymerase, dNTPs, and buffer solution.
Lab products found in correlation
2 protocols using superarray pcr master mix
N. caninum Infection Induces Inflammasome Pathway
The 96-well Mouse Inflammasome RT Profiler PCR Arrays (SA Biosciences/Qiagen, Shanghai, China), containing primer pairs for 84 key genes involved in the NLR inflammasome pathway, were probed with cDNA template in the presence of SuperArray PCR master mix (Qiagen, Shanghai, China), and the PCR analysis was performed on a Bio-Rad iCycler (USA). The arrays were probed with cDNA from 3 treatments (12 h, 24 h and the control group) in duplicate, and the results were analyzed by Excel-based PCR Array Data Analysis software (SA Biosciences, Shanghai, China) for threshold cycle (Ct) value determination. The Ct of the genes was normalized to that of housekeeping genes (the average Ct of Actb, B2m, Gapdh and Hsp90ab1). The relative expression level of each target gene in infected cells was calculated as 2-ΔΔCt (fold change), where ΔΔCt represents the Ct (sample) - Ct (control).
Autophagy Gene Expression Profiling
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