Superscript 3 one step kit
The SuperScript III One Step Kit is a reverse transcription-polymerase chain reaction (RT-PCR) system designed for the detection and quantification of RNA targets. It combines the reverse transcription and PCR amplification steps into a single reaction, streamlining the workflow. The kit includes a thermostable reverse transcriptase and a high-fidelity DNA polymerase for sensitive and reliable RNA detection.
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7 protocols using superscript 3 one step kit
DYNC2LI1 Exon 12 Expression
Quantifying Frataxin Expression in Mice
Quantitative PCR was performed using the Superscript III One Step kit (Invitrogen) per manufacturer's instruction in a Roche Lightcycler 480 (Roche Diagnostics). Primer sequences are β-actin Forward GCCAACACAGTGCTGTCTGG, β-actin Reverse CTGCTTGCTGATCCACATCTGC, YG8 FXN Forward CTGGCTATCTTCTCCATCCAG, YG8 FXN Reverse AGCATCTTTTCCGGAATAGGC, KIKO Fxn Forward GATCAACAAGCAGACCCCAAA, KIKO Fxn Reverse AGGCCAATGAAGACAAGTCCA, B-Lymphocyte FXN Forward ATCTTCTCCATCCAGTGGACCT and B-Lymphocyte FXN Reverse GCTGGGCATCAAGCATCTTTT. The data were analyzed by delta delta CT method.
Quantifying Metanephric Gene Expression
DYNC2LI1 Exon 12 Expression
Detecting USUV Strains in Co-Infection
Quantitative PCR Protocol for Gene Expression
Viral S1 Segment Amplification and Phylogenetic Analysis
The RT-PCR was performed using a SuperScript® III One-Step kit (Invitrogen, USA) with the following parameters: 30 min at 55 °C, 2 min at 94 °C, 40 cycles of 15 s at 94 °C, 30 s at 49 °C, finally an extension step at 68 °C for 5 min was added. The RT-PCR products were visualized in an agarose gel then purified using a PureLink™ Quick Gel Extraction Kit according to the manufacturer’s instructions. Finally, an ABI 3730XL genetic analyzer was used in the sequencing process.
The alignment calculation for the nucleotide sequences was performed with Mafft 7.2 software [24 (link)] using the L-INS-i method. The nucleotide model substitution was then identified using Jmodeltest software v2.1.7 [25 (link)], and a maximum-likelihood tree was constructed with the online platform PhyML 3.0 [26 (link)] using the dataset previously published by Valastro et al. [14 (link)]. Finally, the amino-acid sequences were aligned using Bioedit v7.2.5 [27 ].
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