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Single-Cell (Multi)omics Technologies

Authors
  • Chappell, Lia
  • Russell, Andrew J.C.
  • Voet, Thierry
Type
Published Article
Journal
Annual Review of Genomics and Human Genetics
Publisher
Annual Reviews
Publication Date
Aug 31, 2018
Volume
19
Pages
15–41
Identifiers
DOI: 10.1146/annurev-genom-091416-035324
Source
Annual Reviews
Keywords
License
Yellow

Abstract

Single-cell multiomics technologies typically measure multiple types of molecule from the same individual cell, enabling more profound biological insight than can be inferred by analyzing each molecular layer from separate cells. These single-cell multiomics technologies can reveal cellular heterogeneity at multiple molecular layers within a population of cells and reveal how this variation is coupled or uncoupled between the captured omic layers. The data sets generated by these techniques have the potential to enable a deeper understanding of the key biological processes and mechanisms driving cellular heterogeneity and how they are linked with normal development and aging as well as disease etiology. This review details both established and novel single-cell mono- and multiomics technologies and considers their limitations, applications, and likely future developments.

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