A role for miR-132 in learned safety Article Swipe
YOU?
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· 2019
· Open Access
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· DOI: https://doi.org/10.1038/s41598-018-37054-z
Learned safety is a fear inhibitory mechanism, which regulates fear responses, promotes episodes of safety and generates positive affective states. Despite its potential as experimental model for several psychiatric illnesses, including post-traumatic stress disorder and depression, the molecular mechanisms of learned safety remain poorly understood, We here investigated the molecular mediators of learned safety, focusing on the characterization of miRNA expression in the basolateral amygdala (BLA). Comparing levels of 22 miRNAs in learned safety and learned fear trained mice, six safety-related miRNAs, including three members of the miR-132/-212 family, were identified. A gain-of-function approach based upon in-vivo transfection of a specific miRNA mimic, and miR-132/212 knock-out mice as loss-of-function tool were used in order to determine the relevance of miR-132 for learned safety at the behavioral and the neuronal functional levels. Using a designated bioinformatic approach, PTEN and GAT1 were identified as potential novel miR-132 target genes and further experimentally validated. We here firstly provide evidence for a regulation of amygdala miRNA expression in learned safety and propose miR-132 as signature molecule to be considered in future preclinical and translational approaches testing the transdiagnostic relevance of learned safety as intermediate phenotype in fear and stress-related disorders.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-018-37054-z
- https://www.nature.com/articles/s41598-018-37054-z.pdf
- OA Status
- gold
- Cited By
- 21
- References
- 62
- Related Works
- 10
- OpenAlex ID
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https://openalex.org/W2924088715Canonical identifier for this work in OpenAlex
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https://doi.org/10.1038/s41598-018-37054-zDigital Object Identifier
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A role for miR-132 in learned safetyWork title
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articleOpenAlex work type
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
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2019-01-24Full publication date if available
- Authors
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Marianne Ronovsky, Alice Zambon, Ana Cicvaric, Vincent Boehm, Bastian Hoesel, Bernhard Moser, Jiaye Yang, Johannes A. Schmid, Wulf Haubensak, Francisco J. Monje, Daniela D. PollakList of authors in order
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https://doi.org/10.1038/s41598-018-37054-zPublisher landing page
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https://www.nature.com/articles/s41598-018-37054-z.pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.nature.com/articles/s41598-018-37054-z.pdfDirect OA link when available
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Computational biology, Computer science, Bioinformatics, BiologyTop concepts (fields/topics) attached by OpenAlex
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21Total citation count in OpenAlex
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2024: 1, 2023: 7, 2022: 2, 2021: 5, 2020: 3Per-year citation counts (last 5 years)
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62Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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