Editorial: Multiomics and multiparametric analyses to characterize myeloid cell subsets

Frontiers in Immunology

Immunology

Marc Dalod¹  Thien-Phong Vu Manh¹  Diana Dudziak² 

[1] Aix-Marseille University, CNRS, INSERM, CIML, Centre d’Immunologie de Marseille-Luminy, Turing Center for Living Systems, Marseille, France;Laboratory of Dendritic Cell Biology, Department of Dermatology, Friedrich-Alexander University of Erlangen-Nürnberg (FAU), University Hospital Erlangen, Erlangen, Germany;Deutsches Zentrum Immuntherapie (DZI), Friedrich-Alexander University of Erlangen-Nürnberg (FAU), University Hospital Erlangen, Erlangen, Germany;Comprehensive Cancer Center Erlangen-European Metropolitan Area of Nuremberg (CCCER-EMN), Friedrich-Alexander University of Erlangen-Nürnberg (FAU), University Hospital Erlangen, Erlangen, Germany;Friedrich-Alexander University of Erlangen-Nürnberg (FAU), University Hospital Erlangen, Erlangen, Germany;Institute of Immunology, Jena University Hospital, Friedrich-Schiller-University, Jena, Germany;

关键词: myeloid cells;    multiomics;    multiparametric analysis;    cell type identification;    cell state characterization;   

DOI  :  10.3389/fimmu.2023.1292400

 received in 2023-09-11, accepted in 2023-09-12,  发布年份 2023

来源: Frontiers

【 授权许可】

Unknown   
Copyright © 2023 Vu Manh, Dalod and Dudziak