Cutting-edge single-cell genomics and modelling in immunology

Immunology and Cell Biology

Volumn 94, Issue 3, 2016, Pages 224-

  Proserpio, Valentina ^a   Lönnberg, Tapio ^a  

^a WELLCOME TRUST SANGER INSTITUTE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

B LYMPHOCYTE; CD8+ T LYMPHOCYTE; CELL COUNT; CELL DIFFERENTIATION; CELL PROLIFERATION; CYTOLOGY; EDITORIAL; GENOMICS; HEMATOPOIESIS; IMMUNOLOGY; MEMORY CELL; SINGLE CELL ANALYSIS; T LYMPHOCYTE; ANIMAL; BIOLOGICAL MODEL; HUMAN; IMMUNITY; PROCEDURES;

ANIMALS; GENOMICS; HUMANS; IMMUNITY; MODELS, BIOLOGICAL; SINGLE-CELL ANALYSIS;

EID: 84961219126     PISSN: 08189641     EISSN: 14401711     Source Type: Journal    
DOI: 10.1038/icb.2015.117     Document Type: Editorial

References (6)

1. Proserpio V, Lonnberg T. Single-cell technologies are revolutionizing the approach to rare cells. Immunol Cell Biol 2016; 94: 225-229.
2. Cvejic A. Mechanisms of fate decision and lineage commitment during haematopoiesis. Immunol Cell Biol 2016; 94: 230-235.
3. Gerritsen B, Pandit A. The memory of a killer T cell: models of CD8+ T cell differentiation. Immunol Cell Biol 2016; 94: 236-241.
4. Polonsky M, Chain B, Friedman N. Clonal expansion under the microscope: studying lymphocyte activation and differentiation using live-cell imaging. Immunol Cell Biol 2016; 94: 242-249.
5. Donati G. The niche in single-cell technologies. Immunol Cell Biol 2016; 94: 250-255.
6. Woodhouse S, Moignard V, Gottgens B, Fisher J. Processing, visualising and reconstructing network models from single-cell data. Immunol Cell Biol 2016; 94: 256-265.