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标题:Quality control of the traditional Chinese medicine Ruyi jinhuang powder based on high-throughput sequencing and real-time PCR.
时间:2019-04-15 22:25:28
DOI:10.1038/s41598-018-26520-3
PMID:29844337
作者:Qiang Li;Ying Sun;Huijun Guo;Feng Sang;Hongyu Ma
出版源: 《Scientific Reports》 ,2018 ,8 (1) :8261-
摘要:Quality control of the traditional Chinese medicine Ruyi jinhuang powder based on high-throughput sequencing and real-time PCRA potential DNA barcode, ITS2, was studied to discriminate herbal materials to confirm their identities and ensure their safe application in pharmaceuticals. Here, a total of 4385 samples of 2431 species were collected, and these samples are from 61...
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目录:
  • Quality control of the traditional Chinese medicine Ruyi jinhuang powder based on high-throughput sequencing and real-time ...
    • Results
      • Establishment of a quality control method for traditional Chinese medicines via high-throughput sequencing.
      • Biological ingredient analysis of commercial sample.
      • Adulterant cofirmation.
    • Discussion
    • Materials and Methods
      • Sample collection.
      • DNA extraction and quantification.
      • PCR Amplification and Purification.
      • Library construction and Sequencing.
      • Sequencing Data analysis.
      • Real-time PCR analysis.
      • Digital PCR analysis.
    • Acknowledgements
    • Figure 1 The workflow for the processing and analysis of high-throughput sequencing reads.
    • Figure 2 Real-time PCR amplification plots of Arisaematis Rhizoma and Pinellia pedatisecta with specific PCR primers.
    • Figure 3 Real-time PCR amplification plots of Arisaematis Rhizoma and Pinellia pedatisecta in Ruyi jinhuang Powder samples from different lots.
    • Figure 4 Digital PCR amplification data of quality as displayed in QuantStudio 3D Analysis Suite Software.
    • Figure 5 The Annotation of rRNA interfence for the false positive results.
    • Table 1 REF species identification.
    • Table 2 RHP species identification.
    • Table 3 Real-time PCR primer pairs for each sample.

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