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Cell Res. 2016 Jan;26(1):83-102. doi: 10.1038/cr.2015.149. Epub 2015 Dec 22.

Somatosensory neuron types identified by high-coverage single-cell RNA-sequencing and functional heterogeneity.

Author information

1
Institute of Neuroscience and State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 20031, China.
2
School of Life Science and Technology, ShanghaiTec University, Shanghai 200031, China.
3
National Engineering Center for Biochip at Shanghai, Shanghai, China.
4
Shanghai Clinical Center, Chinese Academy of Sciences/XuHui Central Hospital, Shanghai, China.
5
State Key Laboratory of Cell Biology, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences.

Abstract

Sensory neurons are distinguished by distinct signaling networks and receptive characteristics. Thus, sensory neuron types can be defined by linking transcriptome-based neuron typing with the sensory phenotypes. Here we classify somatosensory neurons of the mouse dorsal root ganglion (DRG) by high-coverage single-cell RNA-sequencing (10 950 ± 1 218 genes per neuron) and neuron size-based hierarchical clustering. Moreover, single DRG neurons responding to cutaneous stimuli are recorded using an in vivo whole-cell patch clamp technique and classified by neuron-type genetic markers. Small diameter DRG neurons are classified into one type of low-threshold mechanoreceptor and five types of mechanoheat nociceptors (MHNs). Each of the MHN types is further categorized into two subtypes. Large DRG neurons are categorized into four types, including neurexophilin 1-expressing MHNs and mechanical nociceptors (MNs) expressing BAI1-associated protein 2-like 1 (Baiap2l1). Mechanoreceptors expressing trafficking protein particle complex 3-like and Baiap2l1-marked MNs are subdivided into two subtypes each. These results provide a new system for cataloging somatosensory neurons and their transcriptome databases.

PMID:
26691752
PMCID:
PMC4816136
DOI:
10.1038/cr.2015.149
[Indexed for MEDLINE]
Free PMC Article

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