Semi-Quantitative Non-Radioactive In Situ Hybridization and Its Clinical Application.

  • Tsukasaki Shoko
    The Second Department of Internal Medicine,Nagasaki University,Nagasaki 852-8501
  • Miyazaki Masanobu
    The Second Department of Internal Medicine,Nagasaki University,Nagasaki 852-8501
  • Koji Takehiko
    Department of Histology and Cell Biology,Nagasaki University,Nagasaki 852-8501
  • Abe Katsushige
    The Second Department of Internal Medicine,Nagasaki University,Nagasaki 852-8501
  • Furusu Akira
    The Second Department of Internal Medicine,Nagasaki University,Nagasaki 852-8501
  • Shin Masashi
    Department of Histology and Cell Biology,Nagasaki University,Nagasaki 852-8501
  • Suzuki Daisuke
    Department of Nephrology,Tokai University,Isehara 259-1193
  • Harada Takashi
    Division of Renal Care Unit,Nagasaki University,Nagasaki 852-8501
  • Ozono Yoshiyuki
    The Second Department of Internal Medicine,Nagasaki University,Nagasaki 852-8501
  • Sakai Hideto
    Department of Nephrology,Tokai University,Isehara 259-1193
  • Kohno Shigeru
    The Second Department of Internal Medicine,Nagasaki University,Nagasaki 852-8501

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抄録

In situ hybridization (ISH) is widely used to determine the expression of specific mRNA in tissues. However, the results of ISH are influenced by the amount of retained RNA in the tissue. Estimation of retained RNA in the tissue is very important and the results of ISH should be interpreted taking into consideration the amount of retained RNA in samples. In the present study, we determined the amount of retained RNA by performing ISH for 28S rRNA. We also analyzed the results of ISH semi−quantitatively by computer image analysis. The method was applied by calculating the ratio of specific mRNA to 28S rRNA in order to standardize the results of ISH among different tissue samples. Our method is useful for comparing the expression of specific mRNA in different tissue samples with variable levels of retained RNA. Since the conditions of fixation and storage of tissues differ among samples, especially in clinical samples, our semi−quantitative method allows a more precise evaluation of gene expression in different samples.

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