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Lessons from single-cell transcriptome analysis of oxygen-sensing cells

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Abstract

The advent of single-cell RNA-sequencing (RNA-Seq) technology has enabled transcriptome profiling of individual cells. Comprehensive gene expression analysis at the single-cell level has proven to be effective in characterizing the most fundamental aspects of cellular function and identity. This unbiased approach is revolutionary for small and/or heterogeneous tissues like oxygen-sensing cells in identifying key molecules. Here, we review the major methods of current single-cell RNA-Seq technology. We discuss how this technology has advanced the understanding of oxygen-sensing glomus cells in the carotid body and helped uncover novel oxygen-sensing cells and mechanisms in the mice olfactory system. We conclude by providing our perspective on future single-cell RNA-Seq research directed at oxygen-sensing cells.

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Acknowledgements

The authors’ work is supported by the Duke University Chancellor’s Discovery Award Program and the NIH R01 grants (DC012095 and DC014423).

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  1. Department of Molecular Genetics and Microbiology, Duke University Medical Center, 261 CARL Building, Box 3509, Durham, NC, USA

    Ting Zhou & Hiroaki Matsunami

  2. Department of Neurobiology and Duke Institute for Brain Sciences, Duke University Medical Center, Durham, NC, USA

    Hiroaki Matsunami

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  1. Ting Zhou
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Correspondence to Ting Zhou.

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Zhou, T., Matsunami, H. Lessons from single-cell transcriptome analysis of oxygen-sensing cells. Cell Tissue Res 372, 403–415 (2018). https://doi.org/10.1007/s00441-017-2682-0

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