研究者
J-GLOBAL ID:201601007061521273
更新日: 2024年02月14日
バンデンボン アレクシス
Vandenbon Alexis
所属機関・部署:
論文 (43件):
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Takuya Uehata, Shinnosuke Yamada, Daisuke Ori, Alexis Vandenbon, Amir Giladi, Adam Jelinski, Yasuhiro Murakawa, Hitomi Watanabe, Kazuhiro Takeuchi, Kazunori Toratani, et al. Regulation of lymphoid-myeloid lineage bias through Regnase-1/3-mediated control of Nfkbiz. Blood. 2023
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Alexis Vandenbon, Diego Diez. A universal tool for predicting differentially active features in single-cell and spatial genomics data. Scientific reports. 2023. 13. 1. 11830-11830
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Alexis Vandenbon, Rin Mizuno, Riyo Konishi, Masaya Onishi, Kyoko Masuda, Yuka Kobayashi, Hiroshi Kawamoto, Ayako Suzuki, Chenfeng He, Yuki Nakamura, et al. Murine breast cancers disorganize the liver transcriptome in a zonated manner. Communications biology. 2023. 6. 1. 97-97
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Masanori Yoshinaga, Kyuho Han, David W Morgens, Takuro Horii, Ryosuke Kobayashi, Tatsuaki Tsuruyama, Fabian Hia, Shota Yasukura, Asako Kajiya, Ting Cai, et al. The N6-methyladenosine methyltransferase METTL16 enables erythropoiesis through safeguarding genome integrity. Nature communications. 2022. 13. 1. 6435-6435
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Ai Yaku, Tadakatsu Inagaki, Ryotaro Asano, Makoto Okazawa, Hiroyoshi Mori, Ayuko Sato, Fabian Hia, Takeshi Masaki, Yusuke Manabe, Tomohiko Ishibashi, et al. Regnase-1 Prevents Pulmonary Arterial Hypertension Through mRNA Degradation of Interleukin-6 and Platelet-Derived Growth Factor in Alveolar Macrophages. Circulation. 2022. 101161CIRCULATIONAHA122059435
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MISC (1件):
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Michio Tomura, Ryoyo Ikebuchi, Shunsuke Teraguchi, Alexis Vandenbon, Shand H. W. Francis, Tetsuya Honda. A rare subset of skin-tropic regulatory T cells expressing Il10/Gzmb inhibits the cutaneous immune response. JOURNAL OF IMMUNOLOGY. 2017. 198. 1
書籍 (1件):
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Epigenetics in organ specific disorders
Academic Press 2023 ISBN:9780128239315
講演・口頭発表等 (17件):
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Exploratory analysis of various single-cell and spatial transcriptomics data types
(Institute for Quantitative Biosciences student seminar, the University of Tokyo 2022)
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singleCellHaystack: A clustering-independent method for finding differentially expressed genes in single-cell transcriptome data
(Tsukuba Bioinformatics Assembly 2021)
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singleCellHaystack: A clustering-independent method for predicting differentially expressed genes in single cell transcriptome data
(1st International Symposium of CCII -Bioinformatics and its application to cancer and other diseases 2021)
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singleCellHaystack: A clustering-independent method for predicting differentially expressed genes in single cell transcriptome data
(Human Cell Atlas Asia Meeting 2020 2020)
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Prediction of regulatory mechanisms of gene expression at the epigenetic, transcriptional and post-transcriptional level
(第8回生命医薬情報学連合大会 2019)
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経歴 (2件):
- 2017/08 - 現在 京都大学
- 2009/10 - 2017/07 大阪大学
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