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DOI 10.64898/2026.04.14.718477

Медицинская библиотека · bioRxiv : the preprint server for biology · 2026

Translational insights into canine dorsal root ganglia cell types using cross-species comparisons.

Jankelunas Leanne, Bhuiyan Shamsuddin A, MacMillan Hannah J, Cecere Thomas, Bertke Andrea, Rossmeisl John H, Renthal William, Parker Rell L

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Аннотация

Chronic pain accounts for nearly half of owner-reported canine euthanasia decisions, yet dogs remain underutilized as a large-animal model for studying pain and developing translational therapeutics. Here, we present a canine dorsal root ganglion (DRG) cell atlas generated from six donors, representing five breeds, both sexes, and three spinal segments. Our dataset comprises 3,026 neurons and 11,734 non-neuronal cells and resolves 15 neuronal subtypes that map cleanly onto A- and C-fiber classes. We further identify eight major non-neuronal subtypes, including glial, vascular, and immune populations and characterize neuronal and non-neuronal expression of physiologically relevant neuropeptides, receptors, and ion channels. We identify region-specific differences in subtype composition between lumbar and sacral DRGs, with transcriptional programs suggestive of enhanced tactile-associated signaling in lumbar DRGs and heightened nociception-associated signaling in sacral DRGs. Cross-species comparisons reveal that canine DRG subtypes are broadly conserved with human and mouse, while also exhibiting canine-specific and canine-human shared molecular features relevant for translation. Together, this atlas serves as a valuable resource for understanding canine sensory neurobiology, comparing DRG organization across mammals, and leveraging dogs as a translational model for pain research and therapeutic development.

Для цитирования: Jankelunas Leanne, Bhuiyan Shamsuddin A, MacMillan Hannah J, Cecere Thomas, Bertke Andrea, Rossmeisl John H, Renthal William, Parker Rell L. Translational insights into canine dorsal root ganglia cell types using cross-species comparisons.. bioRxiv : the preprint server for biology. 2026. DOI: 10.64898/2026.04.14.718477.
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