| Autor: |
Mario, de la Fuente Revenga, Jong M, Shin, Hiba Z, Vohra, Kelsey S, Hideshima, Matthew, Schneck, Justin L, Poklis, Javier, González-Maeso |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
Scientific Reports |
| ISSN: |
2045-2322 |
| Popis: |
Head-twitch behavior (HTR) is the behavioral signature of psychedelic drugs upon stimulation of the serotonin 5-HT2A receptor (5-HT2AR) in rodents. Following the previous report of a semi-automated detection of HTR based on the dynamics of mouse’s head movement, here we present a system for the identification of individual HTR events in a fully automated fashion. The validity of this fully automated HTR detection system was tested with the psychedelic drug DOI in 5-HT2AR-KO mice, and via evaluation of potential sources of false-positive and false-negative HTR events. The increased throughput in data processing achieved via automation afforded the possibility of conducting otherwise time consuming HTR time-course studies. To further assess the versatility of our system, we also explored the pharmacological interactions between 5-HT2AR and the metabotropic glutamate receptor 2 (mGluR2). Our data demonstrate the potentiation effect of the mGluR2/3 antagonist LY341495 on DOI-induced HTR, as well as the HTR-blocking effect of the mGluR2/3 agonist and antipsychotic drug in development LY404039. This fully automated system can contribute to speed up our understanding of 5-HT2AR’s pharmacology and its characteristic behavioral outputs in rodents. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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