Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Distinct transcriptional programs define a heterogeneous neuronal ensemble for social interaction

ABSTRACT: Distinct transcriptional programs define a heterogeneous neuronal ensemble for social interaction

PROVIDER: PRJNA1122152 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR29344828.fastq.gz	Fastqsanger.gz
	SRR29344829.fastq.gz	Fastqsanger.gz
	SRR29344830.fastq.gz	Fastqsanger.gz
	SRR29344831.fastq.gz	Fastqsanger.gz
	SRR29344832.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 28

Similar Datasets

Distinct transcriptional programs define a heterogeneous neuronal ensemble for social interaction

Project description:Reliable representations of information regarding complex behaviors including social interactions require the coordinated activity of heterogeneous cell types within distributed brain regions. Activity in the medial prefrontal cortex is critical in regulating social behavior, but our understanding of the specific cell types which comprise the social ensemble has been limited by available mouse lines and molecular tagging strategies which rely on the expression of a single marker gene. Here we sought to quantify the heterogeneous neuronal populations which are recruited during social interaction in parallel in a non-biased manner and determine how distinct cell types are differentially active during social interactions. We identify distinct populations of prefrontal neurons activated by social interaction by quantification of immediate early gene (IEG) expression in transcriptomically clustered neurons. This approach revealed variability in the recruitment of different excitatory and inhibitory populations within the medial prefrontal cortex. Furthermore, evaluation of the populations of IEGs recruited following social interaction revealed both cell-type and region-specific transcriptional programs, suggesting that reliance on a single molecular marker is insufficient to quantify activation across all cell types. Our findings provide a comprehensive description of cell-type specific transcriptional programs invoked by social interactions and reveal new insights into the heterogeneous neuronal populations which compose the social ensemble

2024-06-14 | GSE269499 | GEO

Distinct transcriptional programs define a heterogeneous neuronal ensemble for social interaction.

Project description:Social interactions are encoded by the coordinated activity of heterogeneous cell types within distributed brain regions including the medial prefrontal cortex (mPFC). However, our understanding of the cell types which comprise the social ensemble has been limited by available mouse lines and reliance on single marker genes. We identified differentially active neuronal populations during social interactions by quantifying immediate-early gene (IEG) expression using snRNA-sequencing. These studies revealed that distinct prefrontal neuron populations composed of heterogeneous cell types are activated by social interaction. Evaluation of IEG expression within these recruited neuronal populations revealed cell-type and region-specific programs, suggesting that reliance on a single molecular marker is insufficient to quantify activation across all cell types. Our findings provide a comprehensive description of cell-type specific transcriptional programs invoked by social interactions and reveal insights into the neuronal populations which compose the social ensemble.

| S-EPMC11263963 | biostudies-literature

Distinct transcriptional programs define a heterogeneous neuronal ensemble for social interaction.

| S-EPMC10769355 | biostudies-literature

Identification of heterogeneous senescence-associated transcriptional programs

Project description:Identification of heterogeneous senescence-associated transcriptional programs

| PRJEB19157 | ENA

Transcriptomes and metabolism define heterogeneous mouse and human MAIT cells

Project description:Transcriptomes and metabolism define heterogeneous mouse and human MAIT cells

| PRJNA783214 | ENA

Modular transcriptional programs separately define axon and dendrite connectivity

Project description:Modular transcriptional programs separately define axon and dendrite connectivity

| PRJNA521120 | ENA

Transcriptomes and metabolism define heterogeneous mouse and human MAIT cells [mouse]

Project description:Transcriptomes and metabolism define heterogeneous mouse and human MAIT cells [mouse]

| PRJNA783215 | ENA

Transcriptomes and metabolism define heterogeneous mouse and human MAIT cells [human]

Project description:Transcriptomes and metabolism define heterogeneous mouse and human MAIT cells [human]

| PRJNA783216 | ENA

CD5 levels define functionally heterogeneous populations of naïve human CD4+ T cells

Project description:CD5 levels define functionally heterogeneous populations of naïve human CD4+ T cells

| PRJNA625305 | ENA

Changes in splicing and neuromodulatory gene expression programs in sensory neurons with pheromone signaling and social experience

Project description:Social experience and pheromone signaling in ORNs affect pheromone responses and male courtship behaviors in Drosophila, however, the molecular mechanisms underlying this circuit-level neuromodulation remain less clear. Previous studies identified social experience and pheromone signaling-dependent modulation of chromatin around behavioral switch gene fruitless, which encodes a transcription factor necessary and sufficient for male behaviors. To identify the molecular mechanisms driving social experience-dependent neuromodulation, we performed RNA-seq from antennal samples of mutant fruit flies in pheromone receptors and fruitless, as well as grouped or isolated wild-type males. We found that loss of pheromone detection differentially alters the levels of fruitless exons suggesting changes in splicing patterns. In addition, many Fruitless target neuromodulatory genes, such as neurotransmitter receptors, ion channels, and ion transporters, are differentially regulated by social context and pheromone signaling. Our results suggest that modulation of circuit activity and behaviors in response to social experience and pheromone signaling arise due to changes in transcriptional programs for neuromodulators downstream of behavioral switch gene function.

2021-07-02 | GSE179213 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data