Transcriptomics

Dataset Information

0

Recovery of the synaptic transmission genomic fabrics in the hypothalamic paraventricular nucleus of a rat model of autism treated with PMX53


ABSTRACT: We profiled the whole transcriptomes of male and female rat hypothalamic paraventricular nuclei to determine the remodeling of the genomic fabrics responsible for the glutamatergic, GABAergic, dopaminergic, cholinergic and serotonergic transmission in epilepsy and recovery following treatment with PMX53. The rats were prenatally exposed (G15) to betamethasone followed by repeated adiministration of N-Methyl-D-Aspartic acid (NMDA) on postnatal days 12, 13 and 15 which triggered infantile spasms and autistic behavior. Pups were treated with PMX53 (a potent C5ar1 antagonist) on days 13, 14 and 15 prior to NMDA administration to determine what effects the treatment had on transcriptome recovery. Our Genomic Fabric Paradigm (GFP) is proposed as a transformative research approach to enhance the understanding of the brain transcriptomic alterations in epileptic rats and recovery following various treatments. The genomic fabric of a particular synapse is the structured transcriptome associated with the most interconnected and stably expressed gene network responsible for that type of neurotransmission. GFP refines the description of functional pathways by selecting the most prominent genes and determining their networking. Moreover, it quantifies the remodeling of functional pathways and their interplay in disease and recovery in response to a treatment. We found that priming with betamethasone had substantial consequences on the topology of the genomic fabrics of all kind of synaptic transmission, that NMDA-induced spasms strongly exacerbated the remodeling of these fabrics and that PMX53 treatment recovered partially the the normal synaptic transcriptomes.

ORGANISM(S): Rattus norvegicus

PROVIDER: GSE128090 | GEO | 2019/03/12

REPOSITORIES: GEO

Dataset's files

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

Similar Datasets

2016-07-20 | E-GEOD-84585 | biostudies-arrayexpress
2019-01-04 | GSE124615 | GEO
2016-07-20 | GSE84585 | GEO
2019-03-12 | GSE128091 | GEO
2016-05-04 | GSE81061 | GEO
2019-01-04 | GSE124613 | GEO
2018-12-13 | GSE123721 | GEO
| PRJNA320394 | ENA
2016-01-09 | GSE76694 | GEO
2015-09-01 | GSE72562 | GEO