Measurement of Survival Curves and Gene Expression Levels in Various Cell Lines Following Radiation Exposure

2023 Fiscal Year Final Research Report

• Project/Area Number: 21K07617
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 52040:Radiological sciences-related
• Research Institution: Nagoya University
• Principal Investigator: Hirano Yoshiyuki 名古屋大学, 医学系研究科(保健), 准教授 (00423129)
• Co-Investigator(Kenkyū-buntansha): 松井 佑介 名古屋大学, 医学系研究科(保健), 准教授 (90761495)
• Project Period (FY): 2021-04-01 – 2024-03-31
• Keywords: RNA-seq / 放射線治療 / 放射線影響 / 遺伝子発現 / バイオインフォマティクス / 生物効果モデル

Outline of Final Research Achievements

Using HeLa cells, we measured and analyzed the gene expression levels at 1, 5, and 12 h after gamma radiation exposure using RNA-seq. We classified the genes with similar variations into 12 groups and identified the biological processes of each group. Additionally, we examined gene expression differences after gamma ray exposure in both highly radiosensitive and radioresistant cell lines to investigate the dependence of gene expression differences on radiosensitivity. No characteristic gene expression was observed in the radioresistant cell lines. However, it was found that radioresistant cell lines exhibited fewer changes in gene expression compared to the highly radiosensitive cell lines. Identifying the reasons for these differences remains a future challenge.

Free Research Field

放射線治療

Academic Significance and Societal Importance of the Research Achievements

放射線治療の分野においても遺伝子の情報を利用する機会が益々増えると考えられる。その際に、様々な細胞株における放射線照射後の遺伝子発現データは、どのように遺伝情報を有効利用するかを決定するための基礎データとして欠かせないと考えられ、本研究ではそのデータの一部を取得できた。また放射線感受性と遺伝発現情報との関係を明らかにすることができれば、より高精度な放射線治療効果予測や効果的な放射線防護につながると考えられ、本研究ではその関係の特徴を示すことができた。