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Rnaprep pure plus kit

Manufactured by Tiangen Biotech
Sourced in China

The RNAprep Pure Plus Kit is a product designed for the extraction and purification of high-quality total RNA from a variety of sample types. The kit utilizes a silica-based membrane technology to efficiently capture and purify RNA molecules, enabling their subsequent use in various downstream applications.

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2 protocols using rnaprep pure plus kit

1

Ginkgo biloba Leaf RNA Extraction and qPCR

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The total RNA was extracted from the G. biloba leaves treated with water or 100 mmol/L NaCl solution using an RNAprep Pure Plus Kit (TIANGEN, Beijing, China), according to the manufacturer’s instructions. Reverse transcription of RNA into cDNA was performed using the Prime Script RT reagent Kit (TAKARA, Beijing, China) with corresponding primers. Primers for RT-qPCR were designed using Primer 5.0 software (Premier Biosoft, San Francisco, CA, USA), and are listed in Table 1. Primers for the G. biloba GAPDH gene (GenBank, landing number: L26924) were included as an internal control. RT-qPCR reactions were executed using a CFX96 Real-Time System (BioRad, Hercules, CA, USA); the reaction mixture and thermocycling conditions followed a previously described method [32 (link)].
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2

Quantitative RNA Expression Analysis

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Total RNA was extracted from each sample using an RNAprep Pure Plus kit (Tiangen, Beijing, China). First-strand cDNA was synthesized using a RevertAid TM First Strand cDNA Synthesis kit (Thermo Scientific, Vilnius, Lithuania). Specific primers were designed using the NCBI database (https://www.ncbi.nlm.nih.gov/, accessed on 29 April 2022) and synthesized by Sangon Biotech (Shanghai) Co., Ltd. (Shanghai, China). Detailed primer sequences are listed in Table S1. RT-qPCR analysis was performed using TB Green® Premix Ex Taq™ (Takara, Beijing, China) from the TaKaRa Company and a qTOWER3G real-time fluorescence quantification system (Shanghai, China). The HbActin7a gene was used as an internal reference. Three technical replicates were performed for RT-qPCR. Raw data were normalized as described previously [63 (link),76 (link)].
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