4.4 Article

Differential transcriptome profile underlying risky choice in a rat gambling task

期刊

JOURNAL OF BEHAVIORAL ADDICTIONS
卷 11, 期 3, 页码 845-857

出版社

AKADEMIAI KIADO ZRT
DOI: 10.1556/2006.2022.00068

关键词

rat gambling task; risky choice; medial prefrontal cortex; transcriptome

资金

  1. Brain Research Program [2014M3C7A1062895, 2015M3C7A1064778]
  2. Medical Research Center [2019R1A5A2027588]
  3. Korea Post-Genome Project through the National Research Foundation of Korea - Ministry of Science and ICT [2017M3C9A6047615]
  4. Mid-Career Researcher Programs [2019R1A2C1011262, 2019R1A2C2089518]
  5. Young Researcher Program [2019R1C1C1004909]
  6. National Research Foundation of Korea [2017M3C9A6047615] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

Through studying the decision-making ability of rats, we found differential gene expression profiles in the mPFC and NAc between risk-seeking and risk-averse rats, providing insights into the transcriptional components underlying this process.
Background and aims: Proper measurement of expected risk is important for making rational decisions, and maladaptive decision making may underlie various psychiatric disorders. However, differentially expressed genetic profiling involved in this process is still largely unknown. A rodent version of the gambling task (rGT) has been developed to measure decision-making by adopting the same principle of Iowa Gambling Task in humans. In the present study, we examined using next-generation sequencing (NGS) technique whether there are differences in gene expression profiles in the medial prefrontal cortex (mPFC) and the nucleus accumbens (NAc) when rats make different choices toward risk in rGT. Methods: Rats were trained in a touch screen chamber to learn the relationships between 4 different light signals on the window of the screen and accompanied reward outcomes or punishments set up with different magnitudes and probabilities. Once they showed a stabilized pattern of preference upon free choice, rats were classified into risk-averse or risk-seeking groups. After performing the rGT, rats were decapitated, the mPFC and the NAc was dissected out, and NGS was performed with the total RNA extracted. Results: We found that 477 and 36 genes were differentially expressed (approximately 75 and 83% out of them were downregulated) in the mPFC and the NAc, respectively, in risk-seeking compared to risk-averse rats. Among those, we suggested a few top ranked genes that may contribute to promoting risky choices. Discussion and conclusions: Our findings provide insights into transcriptional components underlying risky choices in rats.

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