Using single-cell genomics to understand developmental processes and cell fate decisions

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.

Source: Molecular Systems Biology - April 16, 2018 Category: Molecular Biology Authors: Griffiths, J. A., Scialdone, A., Marioni, J. C. Tags: Chromatin, Epigenetics, Genomics & Functional Genomics, Development & Differentiation, Genome-Scale & Integrative Biology Reviews Source Type: research