Gene expression profiles from multimodal patch-seq neuron samples of the pig dorsal root ganglion

This dataset comprises single-cell transcriptomic profiles derived from the dorsal root ganglia (DRG) of pigs, aimed at elucidating the molecular identity of mechano-insensitive C-fibres (CMis) implicated in neuropathic pain. Using an innovative approach that combines electrophysiological characterization with Patch-seq, we have successfully captured and analyzed the transcriptomes of primary sensory neurons. These neurons were characterized based on their electrophysiological properties, mirroring those of human CMis, which play a pivotal role in the persistence of neuropathic pain. The presented dataset enriches our understanding of the cellular and molecular landscape of neuropathic pain but also opens new avenues for the development of targeted therapeutic interventions. This dataset is expected to serve as a valuable resource for researchers in the fields of sensory biology and pain neuroscience. Overall design: DRGs from cervical, thoracic, and lumbar segments were processed through mincing, enzymatic digestion, mechanical trituration, and centrifugation for neuron isolation. Cultured neurons were assessed electrophysiologically and analyzed via Patch-seq for molecular profiling. The experimental design concentrated on assaying the diverse array of neuron types in the DRG by examining their electrophysiological characteristics and gene expression.The study aimed to identify molecular markers of mechano-insensitive C-fibres (CMis) to advance understanding of neuropathic pain mechanisms. Objectives included electrophysiological characterization of pig sensory neurons and integration with larger RNA-seq reference atlas data.