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Identification of the immune checkpoint signature of multiple myeloma using mass cytometry-based single-cell analysis.
Wang, Jinheng; Zheng, Yongjiang; Tu, Chenggong; Zhang, Hui; Vanderkerken, Karin; Menu, Eline; Liu, Jinbao.
Afiliação
  • Wang J; Affiliated Cancer Hospital & Institute of Guangzhou Medical University Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation State Key Laboratory of Respiratory Disease School of Basic Medical Sciences Guangzhou Medical University Guangzhou China.
  • Zheng Y; Department of Hematology The Third Affiliated Hospital of Sun Yat-Sen University Guangzhou China.
  • Tu C; Affiliated Cancer Hospital & Institute of Guangzhou Medical University Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation State Key Laboratory of Respiratory Disease School of Basic Medical Sciences Guangzhou Medical University Guangzhou China.
  • Zhang H; Affiliated Cancer Hospital & Institute of Guangzhou Medical University Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation State Key Laboratory of Respiratory Disease School of Basic Medical Sciences Guangzhou Medical University Guangzhou China.
  • Vanderkerken K; Department of Hematology and Immunology Myeloma Center Brussels Vrije Universiteit Brussel Brussels Belgium.
  • Menu E; Department of Hematology and Immunology Myeloma Center Brussels Vrije Universiteit Brussel Brussels Belgium.
  • Liu J; Affiliated Cancer Hospital & Institute of Guangzhou Medical University Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation State Key Laboratory of Respiratory Disease School of Basic Medical Sciences Guangzhou Medical University Guangzhou China.
Clin Transl Immunology ; 9(5): e01132, 2020 May.
Article em En | MEDLINE | ID: mdl-32355560

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article