Establishment of a novel platform of Raman microscope for diagnosis of hydrogel-generated cancer stem cells.
| Project/Area Number |
22K18179
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 90110:Biomedical engineering-related
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| Research Institution | Hokkaido University |
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Principal Investigator |
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| Project Period (FY) |
2022-04-01 – 2024-03-31
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| Project Status |
Completed (Fiscal Year 2023)
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| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2023: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2022: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
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| Keywords | cancer stem cell / machine learning / Raman imaging / chemometrics / hydrogel / macrophage / Raman imaging / Data standardadization / stemness markor / cell moprhology / molecular imaging / cancer stem cells |
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| Outline of Research at the Start |
The first target of this project will be to evaluate with hyperspectral Raman imaging the metabolic changes that occur when cancer cells are cultivated on hydrogels in comparison to usual samples. Especially lipid metabolism alteration and redox states will be clarified.
The final target will be to explore the action of immune system cells, macrophages, in the genesis or the maintenance of cancer stem cells.
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| Outline of Annual Research Achievements |
I have achieved the reprogramming of cancer stem cells using hydrogel substrates, analyzing various cell lines to assess stemness marker expression. These substrates were specifically engineered to mimic the natural environment of cells, providing a realistic framework for my research. To evaluate the reprogramming process, I employed a high-speed Raman imaging system, enabling the collection of spatio-spectral data at unprecedented speed and resolution, offering detailed insights into cellular behavior and microenvironment interactions during the reprogramming process. Given the complexity of analyzing hydrogel substrates, I developed a Gaussian background correction method specifically tailored to remove the hydrogel background effect from Raman spectra. This advanced preprocessing technique ensured accurate interpretation of the Raman imaging data, revealing the underlying molecular changes during the reprogramming process. The analysis revealed that mitochondrial redox activity and lipid metabolism play a critical role in cancer stem cell reprogramming. This finding offers new perspectives on the role of cellular metabolism in cancer progression and stemness, highlighting potential targets for therapeutic intervention. My research extended to studying the influence of macrophages on cancer stem cell reprogramming. By exploring the interactions between these immune cells and reprogrammed stem cells, I uncovered significant insights into the immune system's role in tumorigenesis and its potential as a target for innovative treatments.
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Report
(2 results)
Research Products
(9 results)
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[Journal Article] On-the-fly Raman microscopy guaranteeing the accuracy of discrimination2024
Author(s)
Tabata Koji、Kawagoe Hiroyuki、Taylor J. Nicholas、Mochizuki Kentaro、Kubo Toshiki、Clement Jean-Emmanuel、Kumamoto Yasuaki、Harada Yoshinori、Nakamura Atsuyoshi、Fujita Katsumasa、Komatsuzaki Tamiki
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Journal Title
Proceedings of the National Academy of Sciences
Volume: 121
Issue: 12
Pages: 2304866121-2304866121
DOI
Related Report
Peer Reviewed / Open Access / Int'l Joint Research
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