| Budget Amount *help |
¥35,360,000 (Direct Cost: ¥27,200,000、Indirect Cost: ¥8,160,000)
Fiscal Year 2021: ¥6,500,000 (Direct Cost: ¥5,000,000、Indirect Cost: ¥1,500,000)
Fiscal Year 2020: ¥8,710,000 (Direct Cost: ¥6,700,000、Indirect Cost: ¥2,010,000)
Fiscal Year 2019: ¥9,880,000 (Direct Cost: ¥7,600,000、Indirect Cost: ¥2,280,000)
Fiscal Year 2018: ¥10,270,000 (Direct Cost: ¥7,900,000、Indirect Cost: ¥2,370,000)
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| Outline of Final Research Achievements |
For biological phenomena in which intracellular gene regulation changes over time, such as cell differentiation and cellular stimulus response, we have developed a cell lineage inference method that obtains data from single-cell RNA sequencing and maps each cell on a pseudo-temporal time. The cells were sorted by this cell lineage inference, and the gene expression levels of each cell were considered as a time-series expression profile, and the regulatory relationship between individual genes in each cell was quantified by a newly developed score called "edge gain". Based on this score, gene regulatory networks can be inferred by a dynamic Bayesian network model from the time-series gene expression profiles obtained along the cell lineage, and it was shown that the inference accuracy was higher than that of existing methods.
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