Divergent Learning-Related Transcriptional States of Cortical Glutamatergic Neurons

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 un...

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Published inThe Journal of neuroscience Vol. 44; no. 10; p. e0302232023
Main Authors 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
Format Journal Article
LanguageEnglish
Published United States Society for Neuroscience 06.03.2024
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Summary: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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We thank Dr. Hanquing Liu for his technical assistance with single-cell RNA sequencing datasets published by the BRAIN Initiative Cell Census Network. N.G.H. was supported by NIH (K99 NS114175). S.M. and R.G. were supported by NSF (1940162). T.K. was supported by NSF (1940202) and NIH (R01 NS091010, R21 NS112750, R01 NS125298). Y.Z. and K.L.D. were supported by NSF (1939992). E.J.H. was supported by the Alfred P. Sloan Foundation.
The authors declare no competing financial interests.
Author contributions: R.G., T.K., Y.Z., and E.J.H. designed research; K.L.D., N.G.H., S.M., C.M.R., J.R.H., J.W., R.G., T.K., Y.Z., and E.J.H. performed research; C.M.R. contributed unpublished reagents/analytic tools; K.L.D., N.G.H., S.M., J.W., Y.Z., and E.J.H. analyzed data; K.L.D., N.G.H., T.K., Y.Z., and E.J.H. wrote the paper. The authors declare no competing financial interests.
K.L.D. and N.G.H. are co-first authors.
ISSN:0270-6474
1529-2401
1529-2401
DOI:10.1523/JNEUROSCI.0302-23.2023