Immediate and deferred epigenomic signatures of in vivo neuronal activation in mouse hippocampus
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA515067 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR8441330.fastq.gz | Fastqsanger.gz | |||
| SRR8441340.fastq.gz | Fastqsanger.gz | |||
| SRR8441350_1.fastq.gz | Fastqsanger.gz | |||
| SRR8441350_2.fastq.gz | Fastqsanger.gz | |||
| SRR8441360_1.fastq.gz | Fastqsanger.gz |
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Project description:Activity-driven transcription plays an important role in many brain processes, including those underlying memory and epilepsy. Here, we combine genetic tagging of nuclei and ribosomes with RNA-seq, ChIP-seq, ATAC-seq and Hi-C to investigate transcriptional and chromatin changes occurring in mouse hippocampal excitatory neurons at different timepoints after synchronous activation during seizure and sparse activation by novel context exploration. The transcriptional burst is associated with an increase in chromatin accessibility of activity-regulated genes and enhancers, de novo binding of activity-regulated transcription factors, augmented promoter-enhancer interactions, and the formation of gene loops that bring together the TSS and TTS of induced genes and may sustain the fast re-loading of RNAPII complexes. Some chromatin occupancy changes and interactions, particularly those driven by AP1, remain long after neuronal activation and could underlie the changes in neuronal responsiveness and circuit connectivity observed in these neuroplasticity paradigms, perhaps thereby contributing to metaplasticity in the adult brain.
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).
This model is described in the article:
A community-driven global reconstruction of human metabolism.
Thiele I, et al
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Nature Biotechnology
Abstract:
Multiple models of human metabolism have been reconstructed, but each represents only a subset of our knowledge. Here we describe Recon 2, a community-driven,
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This model is hosted on BioModels Database
and identified by: MODEL1310110034
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To cite BioModels Database, please use: BioModels Database: An enhanced,
curated and annotated resource for published quantitative kinetic models
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To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer
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