OKADA Daigo

Research fields

Bioinformatics
Statistical Genetics
Aging
Regenerative Medicine

Research Interests

Blockchain
Genomics
Artificial Intelligence
Cellular medicine

Professional Memberships

Japanese Society of Anti-aging Medicine
Japan Society for Biomedical Gerontology
The Japanese Society for Artificial Intelligence
The Japan Society of Human Genetics

Main research topics

I have been conducting research in the fields of bioinformatics and aging biology.

Bioinformatics is an interdisciplinary field that seeks to elucidate biological phenomena through the application of information science and mathematical approaches. My work has focused particularly on the analysis of comprehensive molecular data (omics data), including genomic information. Among these efforts, I have placed particular emphasis on the analysis of single-cell data, which is obtained at the resolution of individual cells, and have developed several novel statistical and machine learning methods.

Leveraging such bioinformatics-based approaches, I have also been tackling the complex biological phenomenon of aging. Aging progresses across various tissues and cell types throughout the body, and understanding its full picture requires detailed analysis at the single-cell level. Through the analysis of single-cell gene expression data, I have revealed the widespread existence of “opposite aging effect,” where gene expression increases with age in certain cell types but decreases in others. This finding suggests that a given gene may suppress aging in some cells while promoting it in others, highlighting the importance of understanding cell-type-specific responses when attempting to regulate aging.

Currently, I am building on these insights to develop novel regenerative and cell-based therapies that address aging, alongside new analytical methods to support these efforts. My goal is to advance both aging biology and regenerative/cellular medicine by solving key challenges through bioinformatics. By incorporating cutting-edge technologies such as blockchain and harnessing the power of mathematical and data sciences, I aim to help pioneer the future of aging research and regenerative medicine.

Representative papers

[1] Okada, D., Zhu, J., Shota, K., Nishimura, Y., & Haraguchi, K. (2024). Systematic evaluation of the isolated effect of tissue environment on the transcriptome using a single-cell RNA-seq atlas dataset. arXiv preprint arXiv:2406.06969.

[2] Okada, D. (2024). The opposite aging effect to single cell transcriptome profile among cell subsets. Biogerontology, 25(6), 1253-1262.

Research URL

researchmap　https://researchmap.jp/daigo_okada/

Global issues to be solved through this project

Innovation of project management for genomic research using blockchain

In genome research, the process of acquiring and analyzing data generates a huge amount of data, and managing and sharing this data is a major burden for researchers. In particular, the difficulty of tracking data and dividing up work within teams is a factor that reduces research efficiency. In this research, we will develop a system that fundamentally improves the management of research projects by utilizing blockchain technology to solve this global issue. Blockchain is a technology that enables highly transparent data management that is difficult to tamper with, and by utilizing this technology, research records can be safely managed. By combining blockchain and genomic biology, we will achieve more efficient genome research.

Interview

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