Abstract

Directed differentiation of cells in vitro is a powerful approach for dissection of developmental pathways, disease modeling and regenerative medicine, but analysis of such systems is complicated by heterogeneous and asynchronous cellular responses to differentiation-inducing stimuli. To enable deep characterization of heterogeneous cell populations, we developed an efficient digital gene expression profiling protocol that enables surveying of mRNA in thousands of single cells at a time. We then applied this protocol to profile 12,832 cells collected at multiple time points during directed adipogenic differentiation of human adipose-derived stem/stromal cells in vitro. The resulting data reveal the major axes of cell-to-cell variation within and between time points, and an inverse relationship between inflammatory gene expression and lipid accumulation across cells from a single donor.

Keywords

Cellular differentiationGene expression profilingTranscriptomeComputational biologyBiologyRegenerative medicineStromal cellGene expressionCell biologyDirected differentiationCellRNAStem cellGeneEmbryonic stem cellGeneticsInduced pluripotent stem cellCancer research

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Year
2014
Type
preprint
Citations
245
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Magali Soumillon, Davide Cacchiarelli, Stefan Semrau et al. (2014). Characterization of directed differentiation by high-throughput single-cell RNA-Seq. bioRxiv (Cold Spring Harbor Laboratory) . https://doi.org/10.1101/003236

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DOI
10.1101/003236