Unraveling cell populations in tumors by single-cell mass cytometry

被引：79

作者：

Di Palma, Serena ^{[1
]}

Bodenmiller, Bernd ^{[1
]}

机构：

[1] Univ Zurich, Inst Mol Life Sci, Zurich, Switzerland

来源：

CURRENT OPINION IN BIOTECHNOLOGY | 2015年 / 31卷

基金：

瑞士国家科学基金会; 欧洲研究理事会;

关键词：

ELEMENT-TAGGED IMMUNOASSAY; POLYMER; CANCER; IDENTIFICATION; VISUALIZATION; RESOLUTION; IMMUNE;

D O I：

10.1016/j.copbio.2014.07.004

中图分类号：

Q5 [生物化学];

学科分类号：

070307 [化学生物学];

摘要：

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.

引用

页码：122 / 129

页数：8

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