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Using single-cell genomics to understand developmental processes and cell fate decisions.
Mol. Syst. Biol. 14:e8046 (2018)
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.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Review
Schlagwörter Cell Fate ; Development ; Differentiation ; Single-cell Rna-seq ; Transcriptome; Randomized Controlled-trial; Chronic Tic Disorders; Parkinsons-disease; Health-care; Tourette-syndrome; Behavior-therapy; Neurological Disorders; Huntington Disease; Batten-disease; Virtual Visits
e-ISSN 1744-4292
Zeitschrift Molecular Systems Biology
Quellenangaben Band: 14, Heft: 4, Seiten: , Artikelnummer: e8046 Supplement: ,
Verlag EMBO Press ; Wiley-Blackwell ; PubMed Central ; HighWire Press
Verlagsort 233 Spring St, New York, Ny 10013 Usa
Begutachtungsstatus peer-reviewed