Pseudomonas sp. CFA
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA574774 | ENA |
REPOSITORIES: ENA
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Project description:Although several underlying pathophysiological processes have been explored, the origin and precise pathomechanism of migraine are still being debated. Inflammatory pathways have been suggested to play role in migraine, trigeminal nociceptor sensitisation, thereby causing hyperalgesia and allodynia. The aim of the present study was to investigate gene expression changes in trigeminal ganglia (TRG), central trigeminal nucleus caudalis (TNC) and peripheral blood mononuclear cells (PBMC) evoked by Complete Freund’s Adjuvant (CFA) induced peripheral inflammation. 512 differentially expressed genes were found between CFA-treated and contralateral TRG samples 7 days after CFA injection. The mRNA expression changes of G-protein coupled receptor 39 (Gpr39), kisspeptin-1 receptor (Kiss1r), kisspeptin (Kiss1) and Lkaaear1 were selected for validation. They were most upregulated on day 3 in TRGs of the CFA-treated side. CFA-induced significant orofacial mechanical allodynia in one day with a maximum on day 3. This correlated with patterns of neuronal (Fosb), glial (Iba1), and astrocyte (Gfap) activation markers in both TRG and TNC, and surprisingly in PBMCs. Similar transcriptional changes of Cgrp, the well-known key molecule in migraine pathophysiology, were also revealed. In TNCs, gene expression changes similar to TRGs were observed but Kiss1r transcripts were not significantly altered while Neurod2 was observed only in TNC. These results could indicate the involvement of Gpr39, Kiss1r and synaptic plasticity associated Lkaaear1, Neurod2 genes in the cascade of events resulting in the sensitization underlying migraine headache and the accompanying facial allodynia.
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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 “CFA signature”. 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 (‘negatively connected’) with our CFA signature. To test the predictive nature of the Connectivity Map methodology, we tested phenoxybenzamine (an alpha adrenergic receptor antagonist) – 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.
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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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Project description:Transcriptional profiling of Arabidopsis thaliana roots comparing inoculated roots with a bacterial strain Antarctic (Pseudomonas sp, Da-bac TI-8) vs untreated roots (control) Two-condition experiment, inoculated roots vs. untreated roots (control). Biological replicates: 4 inoculated roots replicates vs. 4 untreated roots replicates (control)
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