Laser & Optoelectronics Progress, Volume. 59, Issue 7, 0717001(2022)

Transcriptome Characteristics Analysis of Terahertz Wave Inhibited Leukemia K562 Cells Based on RNA Sequencing

Zhong Chen1,2, Guangbin Shang1,2, Liu Fu1,2, Ge Liu1,2, Xuan Chen1,2, Qi Zhang3, and Xiaonan Lu3、*
Author Affiliations
  • 1Research Center for Differention and Development of TCM Basic Theory, Jiangxi University of Chinese Medicine, Nanchang , Jiangxi 330004, China
  • 2Jiangxi Province Key Laboratory of TCM Etiopathogenisis, Nanchang , Jiangxi 330004, China
  • 3Experimental Center of Basic Medicine, Jiangxi University of Chinese Medicine, Nanchang , Jiangxi 330004, China
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    Figures & Tables(10)
    Effect of terahertz wave on K562 cell viability
    Correlation analysis of samples. (a) Correlation between expressed genes of the blank control group and the intervention group; (b) PCA result of expressed genes of the blank control group and the intervention group
    Changes of genes in K562 cells after terahertz wave intervention. (a) Volcano plot of differentially expressed genes; (b) heatmap of top 50 differentially expressed genes by |log2(XFC)|
    Terahertz wave interferes with GO function of K562 cells differentially expressed genes. (a) Up-regulated differentially expressed genes; (b) down-regulated differentially expressed genes
    GO enrichment analysis of K562 up-regulated differentially expressed genes by terahertz wave intervention
    GO enrichment analysis of K562 down-regulated differentially expressed genes by terahertz wave intervention
    KEGG pathway enrichment analysis of differentially expressed genes in K562 cells by terahertz wave intervention. (a) Up-regulated differentially expressed genes; (b) down-regulated differentially expressed genes
    KEGG pathway enrichment chord diagram for differentially expressed genes. (a) Up-regulated differentially expressed genes; (b) down-regulated differentially expressed genes
    Core network of protein-protein interactions of differentially expressed genes in K562 cells by terahertz wave intervention
    • Table 1. Quality assessment of the sequencing data

      View table

      Table 1. Quality assessment of the sequencing data

      SampleClean readsClean bases /GBError rate /%Q20 /%Q30 /%GC /%
      K1484095027.100.024698.1294.5852.99
      K2636653329.370.024598.2094.6853.54
      K3609135108.940.024398.2794.8953.23
      T1639210469.270.024398.2994.9354.00
      T2532713227.790.024298.2994.9453.72
      T3561050908.210.024698.1294.6154.03
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    Zhong Chen, Guangbin Shang, Liu Fu, Ge Liu, Xuan Chen, Qi Zhang, Xiaonan Lu. Transcriptome Characteristics Analysis of Terahertz Wave Inhibited Leukemia K562 Cells Based on RNA Sequencing[J]. Laser & Optoelectronics Progress, 2022, 59(7): 0717001

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    Paper Information

    Category: Medical Optics and Biotechnology

    Received: Jun. 1, 2021

    Accepted: Jun. 28, 2021

    Published Online: Apr. 7, 2022

    The Author Email: Xiaonan Lu (luxn2011@126.com)

    DOI:10.3788/LOP202259.0717001

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