Next-generation computational tools for interrogating cancer immunity.
Journal
Nature reviews. Genetics
ISSN: 1471-0064
Titre abrégé: Nat Rev Genet
Pays: England
ID NLM: 100962779
Informations de publication
Date de publication:
12 2019
12 2019
Historique:
accepted:
28
07
2019
pubmed:
14
9
2019
medline:
4
3
2020
entrez:
14
9
2019
Statut:
ppublish
Résumé
The remarkable success of cancer therapies with immune checkpoint blockers is revolutionizing oncology and has sparked intensive basic and translational research into the mechanisms of cancer-immune cell interactions. In parallel, numerous novel cutting-edge technologies for comprehensive molecular and cellular characterization of cancer immunity have been developed, including single-cell sequencing, mass cytometry and multiplexed spatial cellular phenotyping. In order to process, analyse and visualize multidimensional data sets generated by these technologies, computational methods and software tools are required. Here, we review computational tools for interrogating cancer immunity, discuss advantages and limitations of the various methods and provide guidelines to assist in method selection.
Identifiants
pubmed: 31515541
doi: 10.1038/s41576-019-0166-7
pii: 10.1038/s41576-019-0166-7
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
724-746Subventions
Organisme : Austrian Science Fund FWF
ID : T 974
Pays : Austria
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