title: Multi-Omics of Single Cells: Strategies and Applications.
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.
authors.affiliation: 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: cbock@cemm.oeaw.ac.at.
authors.forename: Christoph
authors.initials: C
authors.lastname: Bock
authors.affiliation: CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.
authors.forename: Matthias
authors.initials: M
authors.lastname: Farlik
authors.affiliation: CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.
authors.forename: Nathan C
authors.initials: NC
authors.lastname: Sheffield
mesh_terms: D002468:Cell Physiological Phenomena; D020869:Gene Expression Profiling / Q000379:methods / Q000639:trends*; D023281:Genomics / Q000639:trends*; D057166:High-Throughput Screening Assays / Q000379:methods / Q000639:trends*; D018511:Systems Integration; D046888:Tissue Array Analysis / Q000379:methods / Q000639:trends*
keywords: bioinformatic methods; cell state profiling; combined genome/epigenome/transcriptome/proteome/metabolome mapping; molecular medicine; single-cell analysis; single-cell systems biology