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Light augments antidepressant response via astroglial modulation of lateral habenula

ABSTRACT: Light augments antidepressant response via astroglial modulation of lateral habenula

PROVIDER: PRJNA601773 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR10904934.fastq.gz	Fastqsanger.gz
	SRR10904935.fastq.gz	Fastqsanger.gz
	SRR10904936.fastq.gz	Fastqsanger.gz
	SRR10904937.fastq.gz	Fastqsanger.gz
	SRR10904938.fastq.gz	Fastqsanger.gz

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Light augments antidepressant response via astroglial modulation of lateral habenula

Project description:Successful antidepressant treatments are still difficult to achieve. Recently, bright light stimulation (BLS) was shown effective in non-seasonal depression but its mode of action remains elusive. We demonstrate, using a new mouse model of depression resistant to antidepressants including ketamine, that both chemogenetic activation of lateral habenula (LHb) astroglia and serotonin (5-HT) depletion prevented the potentiating effect of BLS on the antidepressant response. These results show that improved behavioral outcome produced by BLS requires habenular astroglia and 5-HT tone as crucial buffer systems.

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Project description:The habenula complex is appreciated as a critical regulator of motivated and pathological behavioral states via its output to midbrain nuclei. Despite this, transcriptional definition of cell populations that comprise both the medial (MHb) and lateral habenular (LHb) subregions in mammals remain undefined. To resolve this, we performed single-cell transcriptional profiling and highly multiplexed in situ hybridization experiments of the mouse habenula complex in naïve mice and those exposed to an acute aversive stimulus. Transcriptionally distinct neuronal cell types identified within the MHb and LHb, were spatially defined, and differentially engaged by aversive stimuli. Cell types identified in mice, also displayed a high degree of transcriptional similarity to those previously described in zebrafish, highlighting the well conserved nature of habenular cell types across the phylum. These data identify key molecular targets within habenula cell types, and provide a critical resource for future studies. We applied scRNAseq to unbiasedly characterize mammalian habenula transcriptome. We obtained transcriptional dataset of 11,878 cells including 5,558 neuronal cells.

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