| Project/Area Number |
21K12664
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 90110:Biomedical engineering-related
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| Research Institution | Osaka University |
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Principal Investigator |
パヴィヨン ニコラ 大阪大学, 免疫学フロンティア研究センター, 特任講師(常勤) (80644525)
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| Project Period (FY) |
2021-04-01 – 2023-03-31
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| Project Status |
Discontinued (Fiscal Year 2022)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2023: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2022: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2021: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | Label-free microscopy / Immune response / Live single-cell / Cell dynamics / Cell differentiation / Raman spectroscopy / Live cell / Single-cell measurements / Macrophage / Lymphocyte / Quantitative phase |
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| Outline of Research at the Start |
This research consists in using non-invasive optical tools to study the response of immune cells when reacting to the presence of pathogens. As this approach has the ability to study cells without the addition of any contrast agent that can alter cell health and behavior, we propose to use it for the study of live cell dynamics by observing cells over long time periods to refine our understanding of the immune response, as multiple concurrent processes are involved, while only one time point is possible with standard techniques because of the changes induced during measurement.
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| Outline of Annual Research Achievements |
During this part of second year, we extended our measurements of T cells to specifically study their early differentiation under stimulation. We could first very accurately detect activation, and by comparing different types of stimulations, we could determine the main molecular changes that allow for that classification.
Then, by relying on recent non-linear algorithms such as uniform manifold approximation and projection (UMAP), we could observe the changes that occur after initial activation, where cells gradually differentiate into pre-effector cells. Purely based on the non-invasive signals of optical spectroscopy, it was even possible to observe differences between phenotypes (CD4 and CD8 T cells), and identify sub-populations after several days of differentiation.
In addition to these results, we also applied our approach to the identification of rare lymphocytes phenotypes. We obtained promising results in the detection of regulatory T cells, a sub-type that is a key component in preventing auto-immune diseases, for example. Usually, destructive techniques are required to identify these cells, but despite the very strong similarity between regulatory T cells and conventional ones, our technique is able to distinguish them with high accuracy.
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