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Proximity labelling reveals the compartmental proteome of murine sensory neurons

Publications: Working paperPreprint

Abstract

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. To systematically profile this spatial complexity, we generated a TurboIDfl/fl transgenic mouse line (ROSA26em1(TurboID)Bros), enabling targeted proximity labelling and deep proteomic profiling of DRG neuron compartments via AdvillinCre. 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 (CIPN), we uncovered novel and discrete proteome changes, highlighting neuronal vulnerability. 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. This dataset serves as a valuable resource for mechanistic studies of sensory neuron function and pathology.
Original languageEnglish
PublisherbioRxiv
Pages1-53
Number of pages53
DOIs
Publication statusPublished - Jun 2025

Publication series

SeriesbioRxiv : the preprint server for biology
ISSN2692-8205

Funding

FWF Austrian Science Fund, 10.55776/P36554 German Research Foundation University of Vienna, https://ror.org/03prydq77 Max Planck Society, https://ror.org/01hhn8329

Austrian Fields of Science 2012

  • 106023 Molecular biology
  • 106025 Neurobiology

Keywords

  • proximity labelling
  • DRG
  • sensory neurons
  • DIA-MS
  • proteomics

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