Using single-cell genomics to understand developmental processes and cell fate decisions.
Authors
Griffiths, Jonathan A
Scialdone, Antonio
Marioni, John C
Publication Date
2018-04-16Journal Title
Molecular Systems Biology
ISSN
1744-4292
Publisher
Wiley
Volume
14
Issue
4
Pages
e8046-e8046
Language
eng
Type
Article
This Version
VoR
Metadata
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Griffiths, J. A., Scialdone, A., & Marioni, J. C. (2018). Using single-cell genomics to understand developmental processes and cell fate decisions.. Molecular Systems Biology, 14 (4), e8046-e8046. https://doi.org/10.15252/msb.20178046
Abstract
High-throughput -omics techniques have revolutionised biology, allowing for thorough and unbiased characterisation of the molecular states of biological systems. However, cellular decision-making is inherently a unicellular process to which "bulk" -omics techniques are poorly suited, as they capture ensemble averages of cell states. Recently developed single-cell methods bridge this gap, allowing high-throughput molecular surveys of individual cells. In this review, we cover core concepts of analysis of single-cell gene expression data and highlight areas of developmental biology where single-cell techniques have made important contributions. These include understanding of cell-to-cell heterogeneity, the tracing of differentiation pathways, quantification of gene expression from specific alleles, and the future directions of cell lineage tracing and spatial gene expression analysis.
Keywords
cell fate, development, differentiation, single‐cell RNA‐seq, transcriptome
Sponsorship
J.A.G. was supported by Wellcome Trust Grant “Systematic Identification of Lineage Specification in Murine Gastrulation” (109081/Z/15/A). A.S. was supported by Wellcome Trust Grant “Tracing early mammalian lineage decisions by single cell genomics” (105031/B/14/Z). J.C.M. was supported by core funding from Cancer Research UK (award no. A17197) and EMBL.
Funder references
Wellcome Trust (109081/Z/15/Z)
Embargo Lift Date
2100-01-01
Identifiers
External DOI: https://doi.org/10.15252/msb.20178046
This record's URL: https://www.repository.cam.ac.uk/handle/1810/278954
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