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Divergent Learning-Related Transcriptional States of Cortical Glutamatergic Neurons.
Dunton, Katie L; Hedrick, Nathan G; Meamardoost, Saber; Ren, Chi; Howe, James R; Wang, Jing; Root, Cory M; Gunawan, Rudiyanto; Komiyama, Takaki; Zhang, Ying; Hwang, Eun Jung.
Afiliación
  • Dunton KL; Department of Cell and Molecular Biology, College of the Environment and Life Sciences, University of Rhode Island, Kingston 02881, Rhode Island.
  • Hedrick NG; Department of Neurobiology, Center for Neural Circuits and Behavior, Department of Neurosciences, and Halicioglu Data Science Institute, University of California San Diego, La Jolla 92093, California.
  • Meamardoost S; Department of Chemical and Biological Engineering, University at Buffalo-SUNY, Buffalo 14260, New York.
  • Ren C; Department of Neurobiology, Center for Neural Circuits and Behavior, Department of Neurosciences, and Halicioglu Data Science Institute, University of California San Diego, La Jolla 92093, California.
  • Howe JR; Department of Neurobiology, School of Biological Sciences, University of California San Diego, La Jolla 92093, California.
  • Wang J; Neurosciences Graduate Program, University of California San Diego, La Jolla 92093, California.
  • Root CM; Department of Cell and Molecular Biology, College of the Environment and Life Sciences, University of Rhode Island, Kingston 02881, Rhode Island.
  • Gunawan R; Department of Neurobiology, School of Biological Sciences, University of California San Diego, La Jolla 92093, California.
  • Komiyama T; Department of Chemical and Biological Engineering, University at Buffalo-SUNY, Buffalo 14260, New York.
  • Zhang Y; Department of Neurobiology, Center for Neural Circuits and Behavior, Department of Neurosciences, and Halicioglu Data Science Institute, University of California San Diego, La Jolla 92093, California eunjung.hwang@rosalindfranklin.edu yingzhang@uri.edu tkomiyama@ucsd.edu.
  • Hwang EJ; Department of Cell and Molecular Biology, College of the Environment and Life Sciences, University of Rhode Island, Kingston 02881, Rhode Island eunjung.hwang@rosalindfranklin.edu yingzhang@uri.edu tkomiyama@ucsd.edu.
J Neurosci ; 44(10)2024 Mar 06.
Article en En | MEDLINE | ID: mdl-38238073
ABSTRACT
Experience-dependent gene expression reshapes neural circuits, permitting the learning of knowledge and skills. Most learning involves repetitive experiences during which neurons undergo multiple stages of functional and structural plasticity. Currently, the diversity of transcriptional responses underlying dynamic plasticity during repetition-based learning is poorly understood. To close this gap, we analyzed single-nucleus transcriptomes of L2/3 glutamatergic neurons of the primary motor cortex after 3 d motor skill training or home cage control in water-restricted male mice. "Train" and "control" neurons could be discriminated with high accuracy based on expression patterns of many genes, indicating that recent experience leaves a widespread transcriptional signature across L2/3 neurons. These discriminating genes exhibited divergent modes of coregulation, differentiating neurons into discrete clusters of transcriptional states. Several states showed gene expressions associated with activity-dependent plasticity. Some of these states were also prominent in the previously published reference, suggesting that they represent both spontaneous and task-related plasticity events. Markedly, however, two states were unique to our dataset. The first state, further enriched by motor training, showed gene expression suggestive of late-stage plasticity with repeated activation, which is suitable for expected emergent neuronal ensembles that stably retain motor learning. The second state, equally found in both train and control mice, showed elevated levels of metabolic pathways and norepinephrine sensitivity, suggesting a response to common experiences specific to our experimental conditions, such as water restriction or circadian rhythm. Together, we uncovered divergent transcriptional responses across L2/3 neurons, each potentially linked with distinct features of repetition-based motor learning such as plasticity, memory, and motivation.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje / Plasticidad Neuronal Límite: Animals Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje / Plasticidad Neuronal Límite: Animals Idioma: En Año: 2024 Tipo del documento: Article