Vandenbon Alexis

Affiliation and department：

Research field (1)： Systems genomics

Papers (47)：

Martin Loza, Alexis Vandenbon, Kenta Nakai. Epigenetic characterization of housekeeping core promoters and their importance in tumor suppression. Nucleic acids research. 2024. 52. 3. 1107-1119
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
Shinya Abe, Takuma Asahi, Takahiro Hara, Guangwei Cui, Akihiro Shimba, Shizue Tani-Ichi, Kohei Yamada, Kazuko Miyazaki, Hitoshi Miyachi, Satsuki Kitano, et al. Hematopoietic cell-derived IL-15 supports NK cell development in scattered and clustered localization within the bone marrow. Cell reports. 2023. 42. 9. 113127-113127
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
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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MISC (1)：

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

Books (1)：

Lectures and oral presentations (21)：

SingleCellHaystack: A universal tool for predicting differentially active features in single-cell and spatial genomics data
(MBSJ2023 2023)
SingleCellHaystack: A universal differential expression prediction tool for single-cell and spatial genomics data
(GIW ISCB-Asia 2023)
Spatial transcriptomics analysis reveals how murine breast cancers disorganize the liver transcriptome in a zonated manner
(NGS Expo 2023 2023)
SingleCellHaystack: A universal differential expression prediction tool for single-cell and spatial genomics data
(Informatics in Biology, Medicine and Pharmacology 2023 2023)
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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Work history (2)：

Awards (3)：

2023 - GIW ISCB-Asia conference Best Poster Award
2021 - IIBMP2021 conference Best Poster Award
2019 - Japanese Society of Bioinformatics Oxford Journals - Japanese Society for Bioinformatics Prize

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