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2020 年度 実施状況報告書

Nanometer scale resolution imaging of pH and reactive oxygen species on the outer membrane surface for fast and effective cell discrimination in cancer tissues.

研究課題

研究課題/領域番号 19K05228
研究機関金沢大学

研究代表者

プップリン レオナルド  金沢大学, ナノ生命科学研究所, 特任助教 (40771580)

研究分担者 山田 忠明  京都府立医科大学, 医学(系)研究科(研究院), 講師 (00507048)
細木 誠之  京都薬科大学, 薬学部, 准教授 (30433254)
研究期間 (年度) 2019-04-01 – 2022-03-31
キーワードhydrogen peroxides / cell surface / Raman spectroscopy / nano-sensor / redox biology
研究実績の概要

We completed the development of the biosensor designed for estimation of endogenous extracellular hydrogen peroxide (H2O2) on the surface of cells using surface enhanced Raman spectroscopy (SERS). The SERS analysis was combined with analytical methods of redox biology to estimate also the associated intracellular H2O2. Based on these results, we prepared the manuscript titled "Plasma membrane anchored nanosensor for quantifying endogenous production of H2O2 in living cells", which was accepted for publication in Biosensors and Bioelectronics (DOI:10.1016/j.bios.2021.113077).

現在までの達成度 (区分)
現在までの達成度 (区分)

2: おおむね順調に進展している

理由

We completed the production, the calibration and the testing of the hydrogen peroxide (H2O2) nano-sensor. Unfortunately, we verified that the previously developed pH-nanosensor cannot be used in combination with the newly developed H2O2 nano-sensor for simultaneous cell surface analysis. In fact, the Raman intensities bands of the two compounds sensitive to pH and H2O2 are overlapping. The two Raman signals cannot be separated with reliable accuracy. We are carrying on the analyses of different types of cells using the two nano-sensors separately.

今後の研究の推進方策

Following the results obtained in the first two years, we will continue to exploit and develop the imaging technique of pH and hydrogen peroxides (H2O2) in many types of cells, such as HepG2 human liver cancer cells, MKN45 gastric cancer cells, A549 lung cancer cells, M30966 melanoma cells, human epidermal keratinocyte and human bronchial ciliary cells. In particular, we would like to optimize the nano-sensor anchoring to the cells in order to reduce the acquisition time of the Raman spectra. This may enable us to obtain pH or H2O2 images from cell tissues rather than from a single cell. We will try to collect statistically meaningful sets of data to test the possibility of creating a machine learning-based cell classifier.

次年度使用額が生じた理由

We need to purchase enzymes and reagents for experiments of redox biology on the cells under investigation. We will purchase the software for statistical analysis of the data acquired from different types of cells.

  • 研究成果

    (1件)

すべて 2021

すべて 雑誌論文 (1件)

  • [雑誌論文] Plasma membrane anchored nanosensor for quantifying endogenous production of H2O2 in living cells2021

    • 著者名/発表者名
      Hosogi Shigekuni、Marunaka Yoshinori、Ashihara Eishi、Yamada Tadaaki、Sumino Ayumi、Tanaka Hideo、Puppulin Leonardo
    • 雑誌名

      Biosensors and Bioelectronics

      巻: 179 ページ: 113077~113077

    • DOI

      10.1016/j.bios.2021.113077

URL: 

公開日: 2021-12-27  

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