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Other departments in Research Institute for Microbial Diseases ›Faculties at The University of Osaka ›
Eiji Hara, Professor
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The Hara Lab, in the Division of Molecular Biology, studies the relationship between aging and cancer, focusing on the phenomenon of cellular senescence. Cellular senescence is one of the safeguards by which cells stop proliferating when they detect abnormalities, and it acts to suppress cancer. On the other hand, the lab considers that senescent cells accumulating in the body with aging and obesity are one cause of the onset of various inflammatory diseases, including cancer. The lab aims to clarify how cellular senescence occurs and what it does, and to develop methods to control it.

Nobuyuki Takakura, Professor
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The Takakura Lab, in the Division of Signal Transduction, studies how blood vessels form in order to apply the findings to cancer treatment and regenerative medicine. In tissues such as the brain and intestine, tissue-specific stem cells differentiate into the necessary cells to form organs, and blood vessels create the environment that serves as their foundation. The lab has shown that cancer stem cells proliferate by using the environment (niche) created by blood vessels, and is working to develop therapies aimed at a definitive cure for cancer. The lab also accepts people from different fields such as engineering, and encourages interested people to visit the lab at least once.

Ai Kotani, Professor
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The Kotani Lab, in the Division of Infection and Tumor Control, studies hematopoietic malignancies and other diseases caused by Epstein-Barr virus (EBV). The lab aims to carry out its research on two wheels: research aimed at treatment, and the building of new science. Clinical trials based on the lab's research results have been underway since 2023. Graduate students are accepted from the Graduate School of Medicine and the Graduate School of Frontier Biosciences at Osaka University.

Kenji Kamimoto, Professor
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The Kamimoto Lab reconstructs in silico the regulatory circuits of living systems that cells and genes form, drawing on large and complex datasets. From models of life built in silico, the lab aims to decipher the complex rules of biological regulation and to use them for predictive simulation as well. The lab conducts both biological experiments using cultured cells (wet research) and data analysis using AI and machine learning (dry research). It focuses in particular on cancer, aging, stem cell differentiation, and gene regulation and the epigenome.
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