Session Details

[2PS-02]【J】Comprehensive Insights into Biological Dynamics: A Multiscale Omics Approach

Thu. Nov 28, 2024 4:45 PM - 7:00 PM JST
Thu. Nov 28, 2024 7:45 AM - 10:00 AM UTC
Room 2(Fukuoka International Congress Center, 5F 502+503)
Organizer: Teppei Shimamura (Institute of Science Tokyo), Tsuyoshi Osawa (The University of Tokyo)
The progression of cancer, metabolic diseases, and infectious diseases involves a complex interplay of system dynamics at diverse scales, including molecules, organelles, cells, tissues, and individuals, but the details of the biological information exchanged between these layers have not been elucidated. Recently, through innovations in measurement technology, coupled with deep learning and data science that process and analyze a wide range of data, the life science field is beginning to elucidate life phenomena at multiple scales. In this symposium, young researchers will gather to introduce the multiscale dynamics at the core of life science using cutting-edge technologies such as deep omics, super-resolution imaging, ultra-multiple specimen omics, deep learning, and data science, as well as providing an opportunity for young researchers to engage in new fields.

[2PS-02-01]Redefining Cellular Niches through Deep Generative Models

○Teppei Shimamura1 (1. Institute of Science Tokyo)
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[2PS-02-02(2P-317)]Live-Organismal Transcriptomics

○Kotaro Torii1, Hirofumi Shintaku1,2 (1. Riken, 2. Kyoto Univ.)
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[2PS-02-03]Subcellular Static and Dynamic Transcroptome for Hard Tissue

○Hiroyuki Okada1,2,3, Yuta Terui4, Masahide Seki5, Ayako Suzuki6, Akinori Kanai7, Shigeto Seno8, Asuka Terashima9, Shoko Onodera10, Sanshiro Kanazawa11, Fumiko Yano12, Hiroshi Kajiya13, Taku Saito2, Francesca Gori3, Junichi Kikuta14, Yutaka Suzuki7, Roland Baron3, Sakae Tanaka2, Ung-il Chung1,15, Hironori Hojo1,15 (1. Center for Disease Biology and Integrative Medicine, Grad. Sch. of Med., Univ. Tokyo, 2. Dept. Orthopaedic Surgery, Univ. Tokyo, 3. Dept. Oral Medicine, Infection, and Immunity, Harvard Sch. Dental Med., 4. Div. Single Cell Solution, Life Business HQ, Yokogawa Electric Corp., 5. Dept. Med. Info. Data Sci., Grad. Sch. Frontier Sci., Univ. Tokyo, 6. Dept. Med. Omics., Grad. Sch. Frontier Sci., Univ. Tokyo, 7. Dept. Computational Biol. and Med, Sci., Grad. Sch. Frontier Sci., Univ. Tokyo, 8. Genome Info. Engineering, Grad. Sch. Info., Osaka Univ., 9. Bone Cartilage Rege. Med., Univ. Tokyo Hosp., 10. Dept. Biochem., Tokyo Dental College, 11. Dept. Oral Maxillofacial Surg., Grad. Sch. Med., Univ. Tokyo, 12. Dept. Oral Biochem., Showa Univ., 13. Physiol. Sci. Mole. Biol., Fukuoka Dent. College, 14. Dept. Immunol., Grad. Sch. of Med., Kobe Univ., 15. Dept. Bioengineering, Dept. Bioengineering, Grad. Sch. of Engineering, Univ. Tokyo)
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[2PS-02-04]Prediction of gene expression changes using large-scale transcriptome data and generative AI

○Itoshi Nikaido1,2 (1. RIKEN, 2. Science Tokyo)
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[2PS-02-05(2P-864)]Analysis of key molecular events during lung cancer progression using spatially-resolved multi-omics technologies

○Ayako Suzuki1, Junko Zenkoh1, Yutaka Suzuki1 (1. Univ Tokyo)
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[2PS-02-06]Spatiotemporal Dynamics of Exhausted T Cell Clones in the Tumor Microenvironment

○Yosuke Togashi1 (1. Okayama University)
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[2PS-02-07]Integrative omics data analysis for hair follicle development

○Ritsuko Morita1 (1. The University of Osaka)
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[2PS-02-08]The mechanism of cancer aggressiveness through deep-multi-omics metabolic interactions

○Tsuyoshi Osawa1 (1. The University of Tokyo)
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