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Decoding Transcriptional Identity in Developing Human Sensory Neurons and Organoid Modeling

ABSTRACT: Dorsal root ganglia (DRG) play a crucial role in processing sensory information, making it essential to understand their development. Here, we construct a single-cell spatiotemporal transcriptomic atlas of human embryonic DRG. This atlas reveals the diversity of cell types and highlights the extrinsic signaling cascades and intrinsic regulatory hierarchies that guide cell fate decisions, including neuronal/glial lineage restriction, sensory neuron differentiation and specification, and the formation of neuron-satellite glial cell (SGC) unit. Additionally, we identify a human-enriched NTRK3+/DCC+ nociceptor subtype, which is involved in multimodal nociceptive processing. Mimicking the programmed activation of signaling pathways in vivo, we successfully establish functional human DRG organoids and underscore the critical roles of transcriptional regulators in the fate commitment of unspecialized sensory neurons (uSNs). Overall, our research elucidates the multilevel signaling pathways and transcription factor (TF) regulatory hierarchies that underpin the diversity of somatosensory neurons, emphasizing the phenotypic distinctions in human nociceptor subtypes.

ORGANISM(S): Homo sapiens

PROVIDER: GSE245310 | GEO | 2024/09/05

REPOSITORIES: GEO

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Project description: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 Â± 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. RNA-seq of mRNA levels in 197 individual DRG neurons We performed RNA-seq on total 203 individual DRG neurons. Six of them were not qualified and thus, were excluded for further analysis. To evaluate the quality of RNA-seq, we randomly devided No.72 neurons into two parts and performed RNA-seq seperately. Thus, we had 204 individual samples from 203 individual DRG and 198 individual qualified samples from 197 individual DRG. To evaluate the homogeneity of RNA-seq data from different mice at the same age just as used, we performed RNA-seq on 5 single DRG from different mice. Here, these data from DRG were also considered as experimental control. The 'DRG_neurons_RNA_Seq.txt' contains processed data for 204 samples and 'DRG_RNA_Seq.txt' for 5 samples.

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Decoding Transcriptional Identity in Developing Human Sensory Neurons and Organoid Modeling

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