Genome Research · 2016 · 137 citations · 38 references
Life SciencesCell BiologyDevelopmental BiologyCell DifferentiationGene ExpressionStem Cell BiologyDevelopmental TranscriptomicsEmbryonic Stem CellsStem Cell DifferentiationStem Cell GenomicsX-chromosome InactivationDevelopmental Cell StatesDevelopmental Cell-state DynamicsMouse Embryonic Stem CellsPluripotencySex-specific Gene ExpressionSingle-cell Rna SequencingTranscriptomic ProfilesX Inactivation
Pluripotency, differentiation, and X Chromosome inactivation (XCI) are key aspects of embryonic development. However, the underlying relationship and mechanisms among these processes remain unclear. Here, we systematically dissected these features along developmental progression using mouse embryonic stem cells (mESCs) and single-cell RNA sequencing with allelic resolution. We found that mESCs grown in a ground state 2i condition displayed transcriptomic profiles diffused from preimplantation mouse embryonic cells, whereas EpiStem cells closely resembled the post-implantation epiblast. Sex-related gene expression varied greatly across distinct developmental states. We also identified novel markers that were highly enriched in each developmental state. Moreover, we revealed that several novel pathways, including PluriNetWork and Focal Adhesion, were responsible for the delayed progression of female EpiStem cells. Importantly, we "digitalized" XCI progression using allelic expression of active and inactive X Chromosomes and surprisingly found that XCI states exhibited profound variability in each developmental state, including the 2i condition. XCI progression was not tightly synchronized with loss of pluripotency and increase of differentiation at the single-cell level, although these processes were globally correlated. In addition, highly expressed genes, including core pluripotency factors, were in general biallelically expressed. Taken together, our study sheds light on the dynamics of XCI progression and the asynchronicity between pluripotency, differentiation, and XCI.
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STAR: ultrafast universal RNA-seq aligner
Alexander Dobin, Carrie Davis, Felix Schlesinger et al. · Bioinformatics · 2012 · 56.2K citations · Full text
Smart-seq2 for sensitive full-length transcriptome profiling in single cells
Simone Picelli, Åsa K. Björklund, Omid R. Faridani et al. · Nature Methods · 2013 · 2.6K citations