Unraveling cell populations in tumors by single-cell mass cytometry

Serena Di Palma; Bernd Bodenmiller

doi:10.1016/j.copbio.2014.07.004

Unraveling cell populations in tumors by single-cell mass cytometry

Curr Opin Biotechnol. 2015 Feb:31:122-9. doi: 10.1016/j.copbio.2014.07.004. Epub 2014 Aug 11.

Authors

Serena Di Palma¹, Bernd Bodenmiller²

Affiliations

¹ Institute of Molecular Life Sciences, University of Zürich, Zürich, Switzerland.
² Institute of Molecular Life Sciences, University of Zürich, Zürich, Switzerland. Electronic address: bernd.bodenmiller@imls.uzh.ch.

PMID: 25123841
DOI: 10.1016/j.copbio.2014.07.004

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.

Publication types

Research Support, Non-U.S. Gov't
Review

MeSH terms

Cell Count
Flow Cytometry / methods*
Humans
Neoplasms / pathology*
Single-Cell Analysis / methods*