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Analysis of key molecular events during lung cancer progression using spatially-resolved multi-omics technologies

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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.<br>

The 47th Annual Meeting of the Molecular Biology Society of Japan

Presentation Information

[2PS-02-05(2P-864)]Analysis of key molecular events during lung cancer progression using spatially-resolved multi-omics technologies

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