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Multi-Omics of Single Cells: Strategies and Applications

Author:
Bock, Christoph, Farlik, Matthias, Sheffield, Nathan C.
Source:
Trends in biotechnology 2016 v.34 pp. 605-608
ISSN:
0167-7799
Subject:
genome, metabolome, proteome, transcriptome
Abstract:
Most genome-wide assays provide averages across large numbers of cells, but recent technological advances promise to overcome this limitation. Pioneering single-cell assays are now available for genome, epigenome, transcriptome, proteome, and metabolome profiling. Here, we describe how these different dimensions can be combined into multi-omics assays that provide comprehensive profiles of the same cell.
Agid:
5297108