K
Kenji Matsumoto
Researcher at Saitama Medical University
Publications - 344
Citations - 12232
Kenji Matsumoto is an academic researcher from Saitama Medical University. The author has contributed to research in topics: Immunoglobulin E & Interleukin 33. The author has an hindex of 54, co-authored 319 publications receiving 10390 citations.
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Journal ArticleDOI
The basophil-IL-4-mast cell axis is required for food allergy.
Jun-ichi Kashiwakura,Tomoaki Ando,Hajime Karasuyama,Masato Kubo,Kenji Matsumoto,Tadashi Matsuda,Toshiaki Kawakami,Toshiaki Kawakami +7 more
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Rapid and intense induction of apoptosis in human eosinophils by anti-CD30 antibody treatment in vitro
TL;DR: CD30 can modify eosinophil survival by causing an extremely rapid and intense induction of apoptosis through a tightly regulated intracellular signaling pathway, and the involvement of p38, mitogen-activated protein kinase kinase 1/2, and specific tyrosine kinase, but not NF-kappaB is suggested.
Journal ArticleDOI
Effect of Th1/Th2 Cytokine Pretreatment on RSV-Induced Gene Expression in Airway Epithelial Cells
Yumi Yamada,Kenji Matsumoto,Noriko Hashimoto,Miwako Saikusa,Toshiki Homma,Shigemi Yoshihara,Hirohisa Saito +6 more
TL;DR: It is suggested that Th1/Th2 predisposition in the host prior to RSV infection critically regulates inflammatory reactions in the airways through alteration of gene expression, and that MCP-1/CCL2 plays an important role in the pathogenesis of severeRSV infection and the subsequent development of asthma in Th2-predisposed hosts.
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Identification of novel mast cell genes by serial analysis of gene expression in cord blood-derived mast cells
Atsuo Kuramasu,Yasuhiko Kubota,Kenji Matsumoto,Toshiharu Nakajima,Xu-Ming Sun,Takehiko Watanabe,Hirohisa Saito,Hiroshi Ohtsu +7 more
TL;DR: The gene expression profile of human cord blood‐derived mast cells was investigated using serial analysis of gene expression (SAGE) by selecting tags that were detected more frequently in MCs than in other tissues, genes characteristic of MCs were enriched.
Journal ArticleDOI
Allergy-related genes in microarray: an update review.
TL;DR: The reproducibility between different platforms of arrays is low, but bioinformatics may permit compensation at least among oligonucleotide microarrays, and it is hard to interpret microarray results generated using mixed cell populations.