Nature Communications · 2017 · 212 citations · 60 references
Life SciencesCell BiologyDevelopmental BiologyGene ExpressionStem Cell BiologyTranscriptomicsCell Lineage SpecificationCell-fate DynamicsEmbryonic Stem CellsLineage CommitmentSingle-cell TranscriptomicsStem Cell DifferentiationDevelopmental Gene Expression DynamicsDifferentiation KineticsGene Expression VariabilityLineage Commitment AnalysisLineage SpecificationMouse Embryonic Stem CellsStem Cell Gene RegulationTemporal Gene Expression Dynamics
Gene expression heterogeneity in the pluripotent state of mouse embryonic stem cells (mESCs) has been increasingly well-characterized. In contrast, exit from pluripotency and lineage commitment have not been studied systematically at the single-cell level. Here we measure the gene expression dynamics of retinoic acid driven mESC differentiation from pluripotency to lineage commitment, using an unbiased single-cell transcriptomics approach. We find that the exit from pluripotency marks the start of a lineage transition as well as a transient phase of increased susceptibility to lineage specifying signals. Our study reveals several transcriptional signatures of this phase, including a sharp increase of gene expression variability and sequential expression of two classes of transcriptional regulators. In summary, we provide a comprehensive analysis of the exit from pluripotency and lineage commitment at the single cell level, a potential stepping stone to improved lineage manipulation through timing of differentiation cues.
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Laurens van der Maaten, Geoffrey E. Hinton · Journal of Machine Learning Research · 2008 · 35.7K citations
DEGseq: an R package for identifying differentially expressed genes from RNA-seq data
Likun Wang, Zhixing Feng, Xi Wang et al. · Bioinformatics · 2009 · 4.9K citations · Full text