Transcriptomics

Dataset Information

0

Denervated mouse CA1 pyramidal neurons express homeostatic synaptic plasticity following entorhinal cortex lesion


ABSTRACT: Structural, functional, and molecular reorganization of denervated neural networks is often observed in neurological conditions. The loss of input is accompanied by homeostatic synaptic adaptations, which can affect the reorganization of denervated networks. However, a major challenge of denervation-induced homeostatic plasticity operating in complex neural networks is the specialization of neuronal inputs. Therefore, it remains unclear whether neurons respond similarly to the loss of distinct inputs. Here, we used in vitro entorhinal cortex lesion (ECL) and Schaffer collateral lesion (SCL) in mouse organotypic entorhino-hippocampal tissue cultures of either sex, and studied denervation-induced plasticity of CA1 pyramidal neurons. We observed accumulation of microglia, degeneration of presynaptic buttons and a reduction in dendritic spine numbers in the denervated layers three days after SCL and ECL, respectively. Transcriptome analysis of the CA1 region showed complex changes in differential gene expression following SCL and ECL compared to non-lesioned controls. An enrichment of differentially expressed synapse-related genes was observed specifically after ECL. Consistent with this finding, denervation-induced homeostatic plasticity of excitatory synapses was observed three days after ECL but not after SCL. Chemogenetic silencing of the EC but not CA3 confirmed the pathway-specific induction of homeostatic synaptic plasticity in CA1. Moreover, increased RNA oxidation was observed after SCL and ECL. These results reveal important commonalities and differences of distinct pathway lesions, and demonstrate a pathway-specific induction of denervation-induced homeostatic synaptic plasticity.

ORGANISM(S): Mus musculus

PROVIDER: GSE223096 | GEO | 2023/02/10

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2022-10-28 | GSE216509 | GEO
| PRJNA924823 | ENA
2020-12-14 | GSE161540 | GEO
2016-12-22 | PXD004889 | Pride
2024-02-27 | PXD036993 | Pride
2022-04-11 | GSE197460 | GEO
2016-06-30 | E-GEOD-68960 | biostudies-arrayexpress
2020-01-06 | GSE62812 | GEO
2008-06-13 | E-GEOD-4411 | biostudies-arrayexpress
2024-09-01 | E-MTAB-14258 | biostudies-arrayexpress