In addition to genomics and proteomics, which have been promoted for 41some time, flow cytometry has joined the Laboratory for Integrated Ge-nomics this year, creating a further solid environment for multi-omics science (Figure). This year marked a memorable year in which multi-omics research on human subjects finally came to fruition (Publication 1). This multi-omics study on atopic dermatitis took six years to complete, and Integrated Genomics contributed to the transcriptome and data analysis of clinical specimens. Multi-omics studies targeting the real world will continue to require persistent sup-port. Besides that, we have participated in various projects at IMS, and projects on enterobacteria and epigenomics have led to the publication of papers (Pub-lication 2). We are also promoting research on deep learning to acquire features from such big data. We will continue to develop and implement advanced tech-nologies for multi-omics analysis (Publication 3) to contribute to various proj-ects in IMS.Figure: Multi-omics and AIIn addition to genomics (leftmost) and proteomics (second from the left), which the Laboratory for Integra-tive Genomics has been promoting for some time, flow cytometry (third from the left) has joined this year, and research and development of deep learning (the most right) to analyze big data is also underway.Recent Major PublicationsSekita A, Kawasaki H, Fukushima-Nomura A, Yashiro K, Tanese K, Toshima S, Ashizaki K, Miyai T, Yazaki J, Kobayashi A, Namba S, Naito T, Wang QS, Kawakami E, Seita J, Ohara O, Sakurada K, Okada Y, Amagai M, Koseki H. Multifaceted analysis of cross-tissue transcriptomes reveals phenotype-endotype associations in atopic der-matitis. Nat Commun 14, 6133 (2023)Takeuchi T, Kubota T, Nakanishi Y, Tsugawa H, Suda W, Kwon AT, Yazaki J, Ikeda K, Nemoto S, Mochizuki Y, Kitami T, Yugi K, Mizuno Y, Yamamichi N, Yamazaki T, Takamoto I, Kubota N, Kadowaki T, Arner E, Carninci P, Ohara O, Arita M, Hattori M, Koyasu S, Ohno H. Gut mi-crobial carbohydrate metabolism contributes to insulin resistance. Nature 621, 389-395 (2023)Tsumagari K, Isobe Y, Ishihama Y, Seita J, Arita M, Imami K. Application of liquid-liquid extraction for N-terminal myristoylation proteomics. Mol Cell Proteomics 22, 100677 (2023)Invited presentationsSeita J. “AI for Scientific Discovery” Innovation Study Meeting, Hitachi Ltd. (Tokyo, Japan) December 2023Seita J. “AI for Biomedical Research in ChatGPT-era” Tübingen University M3 Instutute Seminar (Tübingen, Germany) October 2023Seita J. “Biotechnology in Generative AI era” Healthcare Industry Summit (Tokyo, Japan) September 2023Seita J. “The great unification of deep learning that is happening right now” AI Medical Research Meeting (Tokyo, Japan) May 2023Laboratory for Integrative GenomicsTeam Leader: Jun Seita
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