2023 Fiscal Year Final Research Report
Inferring cells differentiation processes from single-cell Multiome ATACseq+RNAseq data.
| Project/Area Number |
22K21301
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| Research Category |
Grant-in-Aid for Research Activity Start-up
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| Allocation Type | Multi-year Fund |
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| Review Section |
1002:Human informatics, applied informatics and related fields
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| Research Institution | The University of Tokyo |
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Principal Investigator |
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| Project Period (FY) |
2022-08-31 – 2024-03-31
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| Keywords | RNA modeling / Cells reprogramming / Simulation / Macrophages / Immunology |
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| Outline of Final Research Achievements |
We developed a model to understand gene behavior in immune cells called macrophages. By focusing on genes that preserved a history of their changes (hysteresis genes), we created a method to predict how these genes behave during cell reprogramming. Our model accurately simulated gene activity, helping us explore how immune cells adapt. This research could improve our understanding of immune responses related to macrophages and lead to better cancer treatments.
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| Free Research Field |
Bioinformatics
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| Academic Significance and Societal Importance of the Research Achievements |
Our research helps us understand how immune cells called macrophages change and adapt. This knowledge can lead to better cancer treatments by improving how we predict and influence immune responses. Ultimately, it can enhance our ability to fight diseases and improve public health.
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