Abstract
Introduction: Understanding the molecular architecture of peripheral sensory neurons is critical as we pursue novel drug targets against pain and neuropathy. Sensory neurons in the dorsal root ganglion (DRG) show extensive compartmentalization; thus, understanding each compartment—from the peripheral to central terminals—is key to this effort. Methods: To systematically profile this spatial complexity, we generated a TurboID fl/fl transgenic mouse line (ROSA26 em1(TurboID)Bros), enabling targeted proximity labelling and deep proteomic profiling of DRG neuron compartments via Tg(Advillin-Cre) +. Results: Our data reveal distinct proteomic signatures across neuronal compartments that reflect specialized neuronal functions. We provide proteomic insights into previously inaccessible nerve terminals both in the periphery (innervating the skin) and in the spinal cord. Further, using a DRG explant model of chemotherapy-induced peripheral neuropathy, we uncover novel and discrete proteome changes, highlighting neuronal vulnerability. Conclusion: Together, our findings provide a unique proteome atlas of the sensory neuron proteome across anatomical domains and demonstrate the utility of proximity labelling proteomics for detecting compartment-specific molecular alterations in a disease model. Significance: This study highlights the potential of TurboID-based proteomics to uncover cell type-specific differences in the peripheral nervous system, serving as a valuable resource for mechanistic studies of sensory neuron function and pathology.
| Original language | English |
|---|---|
| Article number | e70277 |
| Journal | European Journal of Pain |
| Volume | 30 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - May 2026 |
Funding
The authors would like to thank Christiane Harenberg, Dayana Warnecke, and Mia Wzietek from the AGCTLab (Department of Molecular Neurobiology, Max Planck Institute, MPI, for Multidisciplinary Sciences, Goettingen) for expert technical assistance and genotyping, as well as Nicole Kanta and Sabrina Grundtner (University of Vienna) for their excellent assistance. We are grateful to the staff of the animal house of the MPI and of the mouse house at the Division of Pharmacy (University of Vienna) for expert mouse husbandry and support. We further thank Dr. Kimmina, Dr. Schraepler, Dr. Fuenfschilling, and Dr. Papadopoulos (all at MPI) for their support in all mouse‐related issues, as well as Elham Barkhordar and Dr. Dominic Winter (University of Bonn, Germany) for initial discussions about the BioID approach. We thank all members of the Schmidt laboratory for fruitful discussions. This work was funded in part by the Austrian Science Fund (FWF) (10.55776/P36554) (to M.S.), the University of Vienna (to M.S.), the Max Planck Society, the German Research Foundation, Excellence Strategy EXC‐2049−390688087 (to N.L.), and CRC 1286 ‘Quantitative Synaptology’, project A11 (to N.L.) and A09 (to N.B.). Open Access funding provided by Universitat Wien/KEMÖ. The authors would like to thank Christiane Harenberg, Dayana Warnecke, and Mia Wzietek from the AGCTLab (Department of Molecular Neurobiology, Max Planck Institute, MPI, for Multidisciplinary Sciences, Goettingen) for expert technical assistance and genotyping, as well as Nicole Kanta and Sabrina Grundtner (University of Vienna) for their excellent assistance. We are grateful to the staff of the animal house of the MPI and of the mouse house at the Division of Pharmacy (University of Vienna) for expert mouse husbandry and support. We further thank Dr. Kimmina, Dr. Schraepler, Dr. Fuenfschilling, and Dr. Papadopoulos (all at MPI) for their support in all mouse-related issues, as well as Elham Barkhordar and Dr. Dominic Winter (University of Bonn, Germany) for initial discussions about the BioID approach. We thank all members of the Schmidt laboratory for fruitful discussions. This work was funded in part by the Austrian Science Fund (FWF) (10.55776/P36554) (to M.S.), the University of Vienna (to M.S.), the Max Planck Society, the German Research Foundation, Excellence Strategy EXC-2049−390688087 (to N.L.), and CRC 1286 ‘Quantitative Synaptology’, project A11 (to N.L.) and A09 (to N.B.). Open Access funding provided by Universitat Wien/KEMÖ.
Austrian Fields of Science 2012
- 106025 Neurobiology
- 301402 Neurobiology
- 106037 Proteomics
Keywords
- bulk proteomics
- CIPN
- DIA-MS
- DRG
- proximity labelling
- sensory neuron
- TurboID
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