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Series GSE287818 Query DataSets for GSE287818
Status Public on Jan 27, 2025
Title Molecular and cellular rhythms in excitatory and inhibitory neurons in the mouse prefrontal cortex
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary While studies have shown that there are rhythms in gene expression in the prefrontal cortex (PFC), the contribution of different cell types and potential variation by sex has not been determined. Of particular interest are excitatory pyramidal cells and inhibitory parvalbumin (PV) interneurons, as interactions between these cell types are essential for maintaining the excitation/inhibition balance. Here, we identify cell-type specific rhythms in the translatome of PV and pyramidal cells in the mouse PFC and assess rhythms in PV cell electrophysiology. We find that while core molecular clock genes are conserved and synchronized between cell types, pyramidal cells have nearly twice as many rhythmic transcripts as PV cells (35% vs. 18%). Rhythmic transcripts in pyramidal cells also show a high degree of overlap between sexes, whereas in PV cells, rhythmic transcripts are largely distinct between sexes. Additionally, we find sex-specific effects of phase on action potential properties in PV cells. This study demonstrates that rhythms in gene expression and electrophysiological properties in the PFC vary by both cell type and sex. Moreover, the biological processes associated with rhythmic transcripts may provide insight into the unique functions of rhythms in these cells, as well as their selective vulnerabilities to circadian disruption.
 
Overall design Ribosome associated RNA from PV and pyramidal cells in the mouse prefrontal cortex, isolated across 6 times of day.
 
Contributor(s) Burns JN, Jenkins AK, Yin R, Zong W, DePoy LM, Petersen KA, Kaminsky M, Vadnie CA, Scott MR, Tseng GC, Huang Y, McClung CA
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Submission date Jan 23, 2025
Last update date Jan 27, 2025
Contact name Colleen A. McClung
E-mail(s) mcclungca@upmc.edu, jnb55@pitt.edu, RUY28@pitt.edu
Phone 412-624-5547
Organization name University of Pittsburgh
Street address 450 Technology Drive
City Pittsburgh
ZIP/Postal code 15219
Country USA
 
Platforms (1)
GPL9185 Illumina Genome Analyzer (Mus musculus)
Samples (114)
GSM8751824 C_1A_ZT22_F_MCC3804A142_S202
GSM8751825 C_1B_ZT18_M_MCC3804A192_S224
GSM8751826 C_1C_ZT22_M3_MCC3804A161_S228
Relations
BioProject PRJNA1214766

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE287818_rawcountPVPYR.csv.gz 2.8 Mb (ftp)(http) CSV
SRA Run SelectorHelp
Raw data are available in SRA

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