| Budget Amount *help |
¥98,670,000 (Direct Cost: ¥75,900,000、Indirect Cost: ¥22,770,000)
Fiscal Year 2022: ¥17,290,000 (Direct Cost: ¥13,300,000、Indirect Cost: ¥3,990,000)
Fiscal Year 2021: ¥18,200,000 (Direct Cost: ¥14,000,000、Indirect Cost: ¥4,200,000)
Fiscal Year 2020: ¥17,290,000 (Direct Cost: ¥13,300,000、Indirect Cost: ¥3,990,000)
Fiscal Year 2019: ¥19,240,000 (Direct Cost: ¥14,800,000、Indirect Cost: ¥4,440,000)
Fiscal Year 2018: ¥26,650,000 (Direct Cost: ¥20,500,000、Indirect Cost: ¥6,150,000)
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| Outline of Final Research Achievements |
To understand “singularity cell” or “singularity phenomena”, we developed a new technology. We first developed a multifunctional robot, the Automated Live imaging and cell Picking System (ALPS), and used it to perform single-cell RNA sequencing for microscopically observed cells. Using robotically obtained data that linked cell images and the whole transcriptome, we successfully predicted transcriptome-defined cell types and states using cell image-based deep learning. This noninvasive approach opens a new window to determine the live-cell whole transcriptome in real time. Moreover, this work, which is based on a data-driven approach, is a proof-of-concept for determining the transcriptome-defined (omics-based) phenotypes (i.e., not relying on specific genes) of any cell from cell images using a model trained on linked datasets.
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