Transcriptomics

Dataset Information

0

A neural substrate for negative affect dictates female parental behaviour


ABSTRACT: Parental behaviours are essential to secure survival and wellbeing of newborns. Concomitantly, parenting also limits negative affective states in adults, which emerge when the coping with neonatal distress becomes a challenge. Whether neural circuits that process negative affect orchestrate components of parental behaviours remains, however, unknown. Here, we identify functional and transcriptional signatures of parental behaviours in neurons of the negative emotion center lateral habenula receiving bed nucleus of the stria terminalis innervation (BNSTLHb). Calcium imaging and optogenetic manipulations reveal that LHb neurons of virgin female mice increase their activity in response to pup distress vocalization and are necessary for pup calls-driven aversive behaviours. Accordingly, LHb activity rises during the retrieval of a pup to a nest, a behaviour worsened by optogenetic LHb inactivation. Intersectional cell identification and transcriptional profiling associates the BNSTLHb neuronal population to parental behaviours and outlines gene expression in female virgins that is similar to mothers but divergent from non-parental virgin male mice. Accordingly, optogenetic activation and inactivation of the BNST-LHb pathway maximizes and suppresses, respectively, the parental behaviour. Finally, tracking and manipulating single BNSTLHb cell activity demonstrates specificity of this neuronal subset for encoding negative affect and pup retrieval, but not sociability amongst conspecifics. Thus, BNSTLHb cells are operational for female parenting, demonstrating that a negative affect neural circuit processes newborn distress signals and limits them through female parenting.

ORGANISM(S): Mus musculus

PROVIDER: GSE222064 | GEO | 2023/01/04

REPOSITORIES: GEO

Dataset's files

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

Similar Datasets

2016-11-29 | MSV000080366 | MassIVE
2021-04-01 | GSE147058 | GEO
2020-03-15 | GSE146983 | GEO
2021-09-15 | GSE161552 | GEO
| PRJNA917559 | ENA
2011-10-04 | E-GEOD-32156 | biostudies-arrayexpress
2024-09-02 | BIOMD0000000931 | BioModels
2024-04-30 | GSE200082 | GEO
2015-03-04 | E-GEOD-66451 | biostudies-arrayexpress
| PRJNA504510 | ENA