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Quantitative live-cell imaging of secretion activity reveals dynamic immune responses.
Yamagishi, Mai; Miyata, Kaede; Kamatani, Takashi; Kabata, Hiroki; Baba, Rie; Tanaka, Yumiko; Suzuki, Nobutake; Matsusaka, Masako; Motomura, Yasutaka; Kiniwa, Tsuyoshi; Koga, Satoshi; Goda, Keisuke; Ohara, Osamu; Funatsu, Takashi; Fukunaga, Koichi; Moro, Kazuyo; Uemura, Sotaro; Shirasaki, Yoshitaka.
Afiliação
  • Yamagishi M; Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo 113-0033, Japan.
  • Miyata K; Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo 113-0033, Japan.
  • Kamatani T; Live Cell Diagnosis, Ltd., Saitama 351-0022, Japan.
  • Kabata H; Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo 113-0033, Japan.
  • Baba R; Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo 113-0033, Japan.
  • Tanaka Y; Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo 160-8582, Japan.
  • Suzuki N; Department of AI Technology Development, M&D Data Science Center, Tokyo Medical and Dental University, Tokyo 113-8519, Japan.
  • Matsusaka M; Division of Precision Cancer Medicine, Tokyo Medical and Dental University, Tokyo 113-8519, Japan.
  • Motomura Y; Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo 160-8582, Japan.
  • Kiniwa T; Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo 160-8582, Japan.
  • Koga S; Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo 113-0033, Japan.
  • Goda K; Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo 113-0033, Japan.
  • Ohara O; Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo 113-0033, Japan.
  • Funatsu T; Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo 160-8582, Japan.
  • Fukunaga K; Department of Microbiology and Immunology, Graduate School of Medicine, Osaka University, Suita, Osaka 565-0871, Japan.
  • Moro K; RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.
  • Uemura S; RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.
  • Shirasaki Y; Department of Chemistry, Graduate School of Science, The University of Tokyo, Tokyo 113-0033, Japan.
iScience ; 27(6): 109840, 2024 Jun 21.
Article em En | MEDLINE | ID: mdl-38779479
ABSTRACT
Quantification of cytokine secretion has facilitated advances in the field of immunology, yet the dynamic and varied secretion profiles of individual cells, particularly those obtained from limited human samples, remain obscure. Herein, we introduce a technology for quantitative live-cell imaging of secretion activity (qLCI-S) that enables high-throughput and dual-color monitoring of secretion activity at the single-cell level over several days, followed by transcriptome analysis of individual cells based on their phenotype. The efficacy of qLCI-S was demonstrated by visualizing the characteristic temporal pattern of cytokine secretion of group 2 innate lymphoid cells, which constitute less than 0.01% of human peripheral blood mononuclear cells, and by revealing minor subpopulations with enhanced cytokine production. The underlying mechanism of this feature was linked to the gene expression of stimuli receptors. This technology paves the way for exploring gene expression signatures linked to the spatiotemporal dynamic nature of various secretory functions.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: IScience Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Japão País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: IScience Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Japão País de publicação: Estados Unidos