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Series GSE231764 Query DataSets for GSE231764
Status Public on Jul 20, 2023
Title RNA-seq of heart healthy and heart diseased SCGs and pineal glands
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Disruption of the physiologic sleep-wake cycle and low melatonin levels frequently accompany cardiac disease, yet the underlying mechanism has remained enigmatic. Immunostaining of sympathetic axons in optically cleared pineal glands from humans and mice with cardiac disease revealed their substantial denervation compared to controls. Spatial, single-cell, nuclear, and bulk RNA sequencing traced this defect back to the superior cervical ganglia (SCG), which responded to cardiac disease with accumulation of inflammatory macrophages, fibrosis, and the selective loss of pineal gland-innervating neurons. Depletion of macrophages in the SCG prevented disease-associated denervation of the pineal gland and restored physiological melatonin secretion. Our data identify the mechanism underlying the disturbance of diurnal rhythmicity in cardiac disease and suggest means for therapeutic intervention.
 
Overall design SCGs and pineal glands from heart healthy and heart diseased mice were subjected to bulk RNA-seq.
 
Contributor(s) Ziegler KA, Engelhardt S
Citation(s) 37471539
Submission date May 05, 2023
Last update date Oct 26, 2023
Contact name Karin A. Ziegler
E-mail(s) karin.ziegler@tum.de
Organization name Technical University of Munich
Street address Biedersteiner Str. 29
City Munich
ZIP/Postal code 80802
Country Germany
 
Platforms (2)
GPL21103 Illumina HiSeq 4000 (Mus musculus)
GPL24247 Illumina NovaSeq 6000 (Mus musculus)
Samples (12)
GSM7300179 Control_1
GSM7300180 Control_2
GSM7300181 Control_3
This SubSeries is part of SuperSeries:
GSE231767 heart healthy and heart diseased SCGs
Relations
BioProject PRJNA967654

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
GSE231764_RAW.tar 32.7 Mb (http)(custom) TAR (of GTF, XLSX)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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