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Max-Planck-Gesellschaft
Max-Planck-Institut für Experimentelle Medizin
Painproteome database

Pain is complex, and our knowledge of the mechanistic underpinnings of pathological states (e.g., chronic pain) remains incomplete. Effective treatments are elusive, and centrally acting interventions still come with a plethora of side effects. A wealth of previous work has shown that the peripheral nervous system (PNS) is (i) a significant driver of chronic pain, and (ii) offers high therapeutic accessibility.

Enormous progress has already yielded  important insights to genetic variants and relevant transcriptomic alterations in the PNS. To complement and extend these legacy data, we performed comprehensive protein profiling with data-independent acquisition mass spectrometry (DIA-MS) for three regions along the beginning of the mouse pain neuraxis: the sciatic nerve (SN), the dorsal root ganglia (DRG), and the spinal cord (SC). We compared these data to proteomes of 4 regions of the mouse brain: the anterior cingulate cortex (ACC), the amygdala (AMY), the cerebellum (CER), and the prefrontal cortex (PFC). In this way we defined "region-enriched" proteomes that is a set of proteins which are highly enriched in the SN and/or DRG (PNS-enriched) and in the SC, respectively

The goal of our study was twofold. On one hand, we aimed to comprehensively define the adult mouse proteome of the SN, DRG, and SC. On the other hand, we envisioned using this information to enable the trustful monitoring of proteome alterations during a chronic pain condition. To address the latter, we examined protein changes in the PNS (DRG + SN) and spinal cord after the induction of neuropathic pain (spared nerve injury, SNI).

Our painproteome database represents a searchable resource harboring all our data obtained from protein profiling. For proteins detected in both pain and control conditions, results are presented as log2 fold changes, along with an adjusted p-value. Please see also our publication: Barry et al., Frontiers in Molecular Neuroscience, 2018; doi: 10.3389/fnmol.2018.00259

Please use the following link to assess the database: painproteome.em.mpg.de



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