The 98th Annual Meeting of the Japanese Biochemical Society
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Session Details

Symposium

[2S04m]Emerging Concepts in the Mechanisms of Obesity and Diabetes

Tue. Nov 4, 2025 8:45 AM - 10:45 AM JST
Tue. Nov 4, 2025 11:45 PM - 1:45 AM UTC
Room4(Room B-2)
Organizers：Yuta Hiraike（Graduate School of Medicine, The University of Tokyo）, Kazuki Hattori（Research Center for Advanced Science and Technology, The University of Tokyo）
8:45 AM - 9:15 AM JST(11:45 PM - 12:15 AM UTC)

[2S04m-01]RBM43 controls PGC1α translation and a PGC1α-STING signaling axis

○Phillip A. Dumesic1,2,3, Sarah E. Wilensky2, Symanthika Bose2, Steven P. Gygi3, Bruce M. Spiegelman2,3 (1.Diabetes Center, University of California, 2. Department of Cancer Biology, Dana-Farber Cancer Institute, 3.Department of Cell Biology, Harvard Medical School)
キーテクノロジー：Mouse gene targeting
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9:15 AM - 9:33 AM JST(12:15 AM - 12:33 AM UTC)

[2S04m-02]Liver-derived SerpinA1 Regulates the Maintenance and Activation of Brown Adipocytes and Skeletal Muscle

○Masaji Sakaguchi, Shota Okagawa, Yuri Takekuma, Yuma Okubo, Naoto Kubota (Department of Metabolic Medicine, Graduate School of Medical Sciences, Kumamoto University)
キーテクノロジー：プロテオミックス
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9:33 AM - 9:51 AM JST(12:33 AM - 12:51 AM UTC)

[2S04m-03]Deciphering adipose physiology through 3D spheroid screens

○Kazuki Hattori (The University of Tokyo, Research Center for Advanced Science and Technology)
キーテクノロジー：Microfluidics
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9:51 AM - 10:09 AM JST(12:51 AM - 1:09 AM UTC)

[2S04m-04]Diverse Impacts of Cellular Senescence on Diabetic Wound Healing and Skeletal Muscle

○Takako Chikenji1, Yuki Saito2 (1.Department of Health Sciences, Hokkaido University, 2.Department of Health Sciences, Sapporo Medical University)
キーテクノロジー：single cell RNA-seq
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10:09 AM - 10:27 AM JST(1:09 AM - 1:27 AM UTC)

[2S04m-05]Maternal environment and predisposition to obesity and diabetes

○Chisayo Kozuka (Laboratory for Epigenome Inheritance, RIKEN Center for Integrative Medical Sciences)
キーテクノロジー：Embryo manipulation
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10:27 AM - 10:45 AM JST(1:27 AM - 1:45 AM UTC)

[2S04m-06]Machine learning-based prediction model of insulin resistance: Implications for clinical applications and insights into new biology

○Yuta Hiraike (Graduate School of Medicine, The Universitry of Tokyo)
キーテクノロジー：machine learning
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