title: Unraveling cell populations in tumors by single-cell mass cytometry.
abstract: The development of new biotechnologies for the analysis of individual cells in heterogeneous populations is an important direction of life science research. This review provides a critical overview of relevant and recent advances in the field of single-cell mass cytometry, focusing on the latest applications in the study of cell heterogeneity. New approaches for multiparameter single-cell imaging, alongside advanced computational tools for deep mining of high-dimensional mass cytometric data, are facilitating the visualization of specific cell types and their interactions in complex cellular assemblies, such as tumors, potentially revealing new insights into cancer biology.
authors.affiliation: Institute of Molecular Life Sciences, University of Zürich, Zürich, Switzerland.
authors.forename: Serena
authors.initials: S
authors.lastname: Di Palma
authors.affiliation: Institute of Molecular Life Sciences, University of Zürich, Zürich, Switzerland. Electronic address: bernd.bodenmiller@imls.uzh.ch.
authors.forename: Bernd
authors.initials: B
authors.lastname: Bodenmiller
mesh_terms: D002452:Cell Count; D005434:Flow Cytometry / Q000379:methods*; D006801:Humans; D009369:Neoplasms / Q000473:pathology*; D059010:Single-Cell Analysis / Q000379:methods*