Multi-Omics of Single Cells: Strategies and Applications.

Trends in biotechnology ·Vol. 34 ·No. 8 ·2016-00-00 ·Pages 605-608

Bock C, Farlik M, Sheffield NC

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.

Keywords

bioinformatic methods cell state profiling combined genome/epigenome/transcriptome/proteome/metabolome mapping molecular medicine single-cell analysis single-cell systems biology

MeSH Terms

Cell Physiological Phenomena Gene Expression Profiling/methods,trends Genomics/trends High-Throughput Screening Assays/methods,trends Systems Integration Tissue Array Analysis/methods,trends

Authors & Affiliations

3 authors, click to expand affiliations / ORCID

Bock Christoph

CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria; Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria; Max Planck Institute for Informatics, Saarbrücken, Germany. Electronic address: [email protected].

Farlik Matthias

CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.

Sheffield Nathan C

CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.

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Article Info

Journal

Trends in biotechnology

Abbr.

Trends Biotechnol

ISSN

1879-3096

DOI

10.1016/j.tibtech.2016.04.004

[email protected]

Published

2016-00-00

Epub

2016-00-20

Pages

605-608

Language

English

Region

England

NLM ID

8310903

PMCID

PMC4959511

Subset

External Links

PubMed source DOI: 10.1016/j.tibtech.2016.04.004 PMC Full Text View journal details

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