Wataru Fujibuchi

Bunkyo University — Japan

Biochemistry, Genetics and Molecular Biology · Life Sciences

28h-index34.9kcitations116works1.32yr avg
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Research Topics

Gene expression and cancer classification(26), Single-cell and spatial transcriptomics(18), Bioinformatics and Genomic Networks(13), Cell Image Analysis Techniques(13), Pluripotent Stem Cells Research(12)

Publications116 total

Inhalation of 1-bromopropane alters hippocampal expression of pathways related to immune system/inflammation and insulin signaling in experimental rats
Scientific Reports·2025Open Access
Mechanistic elucidation of human pancreatic acinar development using single-cell transcriptome analysis on a human iPSC differentiation model
Scientific Reports·2025· 4 citedOpen Access
Development of a Vascular Organoid Model for Moyamoya Disease Using Patient-Derived iPS Cells
Brain and Spine·2025Open Access
eSPRESSO: topological clustering of single-cell transcriptomics data to reveal informative genes for spatio–temporal architectures of cells
BMC Bioinformatics·2023· 1 citedOpen Access
iGEM as a human iPS cell-based global epigenetic modulation detection assay provides throughput characterization of chemicals affecting DNA methylation
Scientific Reports·2023· 2 citedOpen Access
Data from MiR-126 Acts as a Tumor Suppressor in Pancreatic Cancer Cells via the Regulation of ADAM9
2023Open Access
Data from MiR-126 Acts as a Tumor Suppressor in Pancreatic Cancer Cells via the Regulation of ADAM9
2023Open Access
Supplementary Table 1 from MiR-126 Acts as a Tumor Suppressor in Pancreatic Cancer Cells via the Regulation of ADAM9
2023Open Access
Supplementary Table 1 from MiR-126 Acts as a Tumor Suppressor in Pancreatic Cancer Cells via the Regulation of ADAM9
2023Open Access
Additional file 5 of eSPRESSO: topological clustering of single-cell transcriptomics data to reveal informative genes for spatio–temporal architectures of cells
Figshare·2023Open Access
Additional file 12 of eSPRESSO: topological clustering of single-cell transcriptomics data to reveal informative genes for spatio–temporal architectures of cells
Figshare·2023Open Access
Additional file 3 of eSPRESSO: topological clustering of single-cell transcriptomics data to reveal informative genes for spatio–temporal architectures of cells
Figshare·2023Open Access
Additional file 11 of eSPRESSO: topological clustering of single-cell transcriptomics data to reveal informative genes for spatio–temporal architectures of cells
Figshare·2023Open Access
Additional file 7 of eSPRESSO: topological clustering of single-cell transcriptomics data to reveal informative genes for spatio–temporal architectures of cells
Figshare·2023Open Access
Additional file 10 of eSPRESSO: topological clustering of single-cell transcriptomics data to reveal informative genes for spatio–temporal architectures of cells
Figshare·2023Open Access
Integrative Approaches of Bioassay and Computational Analysis for Discovering Potential Bioactive Compounds and Predictive Toxicity
Journal of Nutritional Science and Vitaminology·2022Open Access
StemPanTox: A fast and wide-target drug assessment system for tailor-made safety evaluations using personalized iPS cells
iScience·2022· 6 citedOpen Access
Human iPS cell-derived cartilaginous tissue spatially and functionally replaces nucleus pulposus
Biomaterials·2022· 47 citedOpen Access
Prediction of broad chemical toxicities using induced pluripotent stem cells and gene networks by transfer learning from embryonic stem cell data
2021Open Access
AMPK activation reverts mouse epiblast stem cells to naive state
iScience·2021· 12 citedOpen Access
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Frequent Co-authors

Koh Miura(14), Kazuyuki Ishida(7), Minoru Kanehisa(6), Makoto Kinouchi(6), Iwao Sasaki(6), Junko Yamane(6), Hiroyuki Ogata(5), Susumu Goto(5), Kennichi Satoh(5), Michiaki Unno(5), Paul Horton(5), Hiroyuki Sasaki(5), Armin Kurtz(5), Glyn Stacey(5), Takeshi Naitoh(4), Toshinori Ando(4), Nobuki Yazaki(4), Chikashi Shibata(4), Takeaki Taniguchi(4), Michael Sheldon(4)