Single-cell technologies for monitoring immune systems

被引：294

作者：

Chattopadhyay, Pratip K. ^{[1
]}

Gierahn, Todd M. ^{[2
]}

Roederer, Mario ^{[1
]}

Love, J. Christopher ^{[2
]}

机构：

[1] NIAID, ImmunoTechnol Sect, Vaccine Res Ctr, NIH, Bethesda, MD 20892 USA

[2] MIT, Koch Inst Integrat Canc Res, Cambridge, MA 02139 USA

来源：

NATURE IMMUNOLOGY | 2014年 / 15卷 / 02期

关键词：

NATURAL-KILLER-CELLS; FLOW-CYTOMETRY; MIGRATION BEHAVIOR; GENE-EXPRESSION; MASS CYTOMETRY; ACTIVATION; ANTIBODIES; SECRETION; HIERARCHY; RESPONSES;

D O I：

10.1038/ni.2796

中图分类号：

R392 [医学免疫学]; Q939.91 [免疫学];

学科分类号：

100102 ;

摘要：

The complex heterogeneity of cells, and their interconnectedness with each other, are major challenges to identifying clinically relevant measurements that reflect the state and capability of the immune system. Highly multiplexed, single-cell technologies may be critical for identifying correlates of disease or immunological interventions as well as for elucidating the underlying mechanisms of immunity. Here we review limitations of bulk measurements and explore advances in single-cell technologies that overcome these problems by expanding the depth and breadth of functional and phenotypic analysis in space and time. The geometric increases in complexity of data make formidable hurdles for exploring, analyzing and presenting results. We summarize recent approaches to making such computations tractable and discuss challenges for integrating heterogeneous data obtained using these single-cell technologies.

引用

页码：128 / 135

页数：8

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