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Changes of gene expression in DRG tissue after pathologic pain

ABSTRACT: To identify common mechanisms and targets regulating different types of pathological pain, we established models for neuropathic pain induced by spinal nerve ligation (SNL), inflammatory pain induced by complete Freund's adjuvant (CFA), chemotherapy pain induced by paclitaxel (PTX), and bone cancer pain induced by Lewis lung carcinoma (LLC) cells. We then collected dorsal root ganglion (DRG) tissues from mice for RNA-seq analysis.

ORGANISM(S): Mus musculus

PROVIDER: GSE283287 | GEO | 2025/06/25

REPOSITORIES: GEO

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Project description:Background: We have previously used the rat 4 day Complete Freund's Adjuvant (CFA) model to screen compounds with potential to reduce osteoarthritic pain. The aim of this study was to identify genes altered in this model of osteoarthritic pain and use this information to infer analgesic potential of compounds based on their own gene expression profiles using the Connectivity Map approach. Results: Using microarrays, we identified differentially expressed genes in L4 and L5 dorsal root ganglia (DRG) from rats that had received intraplantar CFA for 4 days compared to matched, untreated control animals. Analysis of these data indicated that the two groups were distinguishable by differences in genes important in immune responses, nerve growth and regeneration. This list of differentially expressed genes defined a âCFA signatureâ. We used the Connectivity Map approach to identify pharmacologic agents in the Broad Institute Build02 database that had gene expression signatures that were inversely related (ânegatively connectedâ) with our CFA signature. To test the predictive nature of the Connectivity Map methodology, we tested phenoxybenzamine (an alpha adrenergic receptor antagonist) â one of the most negatively connected compounds identified in this database - for analgesic activity in the CFA model. Our results indicate that at 10mg/kg, phenoxybenzamine demonstrated analgesia comparable to that of Naproxen in this model. Conclusion: Evaluation of phenoxybenzamine-induced analgesia in the current study lends support to the utility of the Connectivity Map approach for identifying compounds with analgesic properties in the CFA model. A naive (control) group of rats (n = 6) and a group of rats injected with CFA (n = 6) were used for gene expression profiling experiments. One animal from the control group did not yield sufficient amount of RNA for microarray and thus was omitted from further processing. In total, 5 microarrays each from the 5 animals in the control group, and 6 microarrays each from the 6 animals in the CFA group were analyzed.

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Changes of gene expression in DRG tissue after pathologic pain

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