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2.
Nature ; 590(7844): 115-121, 2021 02.
Artigo em Inglês | MEDLINE | ID: mdl-33299180

RESUMO

Behavioural experiences activate the FOS transcription factor in sparse populations of neurons that are critical for encoding and recalling specific events1-3. However, there is limited understanding of the mechanisms by which experience drives circuit reorganization to establish a network of Fos-activated cells. It is also not known whether FOS is required in this process beyond serving as a marker of recent neural activity and, if so, which of its many gene targets underlie circuit reorganization. Here we demonstrate that when mice engage in spatial exploration of novel environments, perisomatic inhibition of Fos-activated hippocampal CA1 pyramidal neurons by parvalbumin-expressing interneurons is enhanced, whereas perisomatic inhibition by cholecystokinin-expressing interneurons is weakened. This bidirectional modulation of inhibition is abolished when the function of the FOS transcription factor complex is disrupted. Single-cell RNA-sequencing, ribosome-associated mRNA profiling and chromatin analyses, combined with electrophysiology, reveal that FOS activates the transcription of Scg2, a gene that encodes multiple distinct neuropeptides, to coordinate these changes in inhibition. As parvalbumin- and cholecystokinin-expressing interneurons mediate distinct features of pyramidal cell activity4-6, the SCG2-dependent reorganization of inhibitory synaptic input might be predicted to affect network function in vivo. Consistent with this prediction, hippocampal gamma rhythms and pyramidal cell coupling to theta phase are significantly altered in the absence of Scg2. These findings reveal an instructive role for FOS and SCG2 in establishing a network of Fos-activated neurons via the rewiring of local inhibition to form a selectively modulated state. The opposing plasticity mechanisms acting on distinct inhibitory pathways may support the consolidation of memories over time.


Assuntos
Rede Nervosa/citologia , Rede Nervosa/fisiologia , Inibição Neural , Plasticidade Neuronal/fisiologia , Proteínas Proto-Oncogênicas c-fos/metabolismo , Animais , Região CA1 Hipocampal/metabolismo , Colecistocinina/metabolismo , Comportamento Exploratório/fisiologia , Feminino , Ritmo Gama , Interneurônios/metabolismo , Masculino , Consolidação da Memória , Camundongos , Parvalbuminas/metabolismo , Células Piramidais/metabolismo , Secretogranina II/genética , Secretogranina II/metabolismo , Navegação Espacial/fisiologia , Ritmo Teta
3.
Neuron ; 99(3): 525-539.e10, 2018 08 08.
Artigo em Inglês | MEDLINE | ID: mdl-30033152

RESUMO

Sensory experience influences the establishment of neural connectivity through molecular mechanisms that remain unclear. Here, we employ single-nucleus RNA sequencing to investigate the contribution of sensory-driven gene expression to synaptic refinement in the dorsal lateral geniculate nucleus of the thalamus, a region of the brain that processes visual information. We find that visual experience induces the expression of the cytokine receptor Fn14 in excitatory thalamocortical neurons. By combining electrophysiological and structural techniques, we show that Fn14 is dispensable for early phases of refinement mediated by spontaneous activity but that Fn14 is essential for refinement during a later, experience-dependent period of development. Refinement deficits in mice lacking Fn14 are associated with functionally weaker and structurally smaller retinogeniculate inputs, indicating that Fn14 mediates both functional and anatomical rearrangements in response to sensory experience. These findings identify Fn14 as a molecular link between sensory-driven gene expression and vision-sensitive refinement in the brain.


Assuntos
Corpos Geniculados/metabolismo , Células Ganglionares da Retina/metabolismo , Receptor de TWEAK/biossíntese , Percepção Visual/fisiologia , Animais , Feminino , Expressão Gênica , Corpos Geniculados/crescimento & desenvolvimento , Masculino , Camundongos , Camundongos Endogâmicos C57BL , Camundongos Knockout , Camundongos Transgênicos , Trato Óptico/crescimento & desenvolvimento , Trato Óptico/metabolismo , Retina/metabolismo , Receptor de TWEAK/genética
4.
Nat Neurosci ; 21(1): 120-129, 2018 01.
Artigo em Inglês | MEDLINE | ID: mdl-29230054

RESUMO

Activity-dependent transcriptional responses shape cortical function. However, a comprehensive understanding of the diversity of these responses across the full range of cortical cell types, and how these changes contribute to neuronal plasticity and disease, is lacking. To investigate the breadth of transcriptional changes that occur across cell types in the mouse visual cortex after exposure to light, we applied high-throughput single-cell RNA sequencing. We identified significant and divergent transcriptional responses to stimulation in each of the 30 cell types characterized, thus revealing 611 stimulus-responsive genes. Excitatory pyramidal neurons exhibited inter- and intralaminar heterogeneity in the induction of stimulus-responsive genes. Non-neuronal cells showed clear transcriptional responses that may regulate experience-dependent changes in neurovascular coupling and myelination. Together, these results reveal the dynamic landscape of the stimulus-dependent transcriptional changes occurring across cell types in the visual cortex; these changes are probably critical for cortical function and may be sites of deregulation in developmental brain disorders.


Assuntos
Neuroglia/fisiologia , Neurônios/fisiologia , Transcrição Gênica/fisiologia , Transcriptoma/fisiologia , Córtex Visual/citologia , Animais , Fatores de Transcrição Hélice-Alça-Hélice Básicos/metabolismo , Regulação da Expressão Gênica/fisiologia , Ontologia Genética , Luz , Masculino , Camundongos , Camundongos Endogâmicos C57BL , Proteínas do Tecido Nervoso/genética , Proteínas do Tecido Nervoso/metabolismo , Inibição Neural/fisiologia , Neurônios/citologia , Acoplamento Neurovascular/fisiologia , Estimulação Luminosa , Proteínas Proto-Oncogênicas c-fos/metabolismo , Transdução de Sinais/fisiologia , Análise de Célula Única/métodos , Estatísticas não Paramétricas , Vias Visuais
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