Using single-cell genomics to understand developmental processes and cell fate decisions.
Griffiths, Jonathan A
Marioni, John C
Molecular Systems Biology
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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
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.
cell fate, development, differentiation, single‐cell RNA‐seq, transcriptome
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.
Wellcome Trust (109081/Z/15/Z)
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External DOI: https://doi.org/10.15252/msb.20178046
This record's URL: https://www.repository.cam.ac.uk/handle/1810/278954
Attribution 4.0 International
Licence URL: http://creativecommons.org/licenses/by/4.0/
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