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Fig. 3 | Molecular Brain

Fig. 3

From: Disrupting the α7nAChR–NR2A protein complex exerts antidepressant-like effects

Fig. 3

TAT-α7-peptide is able to decrease the α7nAChR–NR2A interaction in rat hippocampus. A Representative blot image of co-immunoprecipitation which shows that TAT-α7-peptide, but not TAT, decreased the α7nAChR–NR2A interaction in rat hippocampus. Tissue extract was used as positive control and IgG isotype was used to rule out the non-specific interaction between the antibody and protein of interest. B Densitometric analysis of the level of NR2A co-immunoprecipitated by α7nAChR antibody in hippocampal lysate of rats injected with TAT, or TAT-α7-peptide. The level of co-immunoprecipitated NR2A (NR2A Co-IP) was normalized after being divided by the level of precipitated α7nAChR (α7nAChR IP). Results for each sample are presented as the percentage of TAT group. *p < 0.05 as compared to TAT group, n = 7, Student’s t-test was performed to examine the statistical significance. Data were shown as mean ± SEM. C Representative Western blot image shows no difference in expression levels of α7nAChR and NR2A in lysate of rat hippocampus injected with TAT, or TAT-α7-peptide. α-Tubulin was used as a loading control. D Densitometric analysis of the expression levels of α7nAChR in hippocampal lysate of rats injected with TAT, or TAT-α7-peptide. The level of α7nAChR was normalized after being divided by the level of α-Tubulin. Results for each sample are presented as the percentage of the TAT samples. n = 7, Student’s t-test was performed to examine the statistical significance (ns no statistical significance). Data were shown as mean ± SEM. E Densitometric analysis of the expression levels of NR2A in hippocampal lysate of rats injected with TAT, or TAT-α7-peptide. The level of NR2A was normalized after being divided by the level of α-Tubulin. Results for each sample are presented as the percentage of the TAT samples. n = 7, Student’s t-test was performed to examine the statistical significance. Data were shown as mean ± SEM

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