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Series GSE261698 Query DataSets for GSE261698
Status Public on Jun 26, 2024
Title A glial circadian gene expression atlas reveals cell type and disease-specific reprogramming in response to amyloid pathology or aging
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary While circadian rhythm disruption may promote neurodegenerative disease, how aging and neurodegenerative pathology impact circadian gene expression patterns in different brain cell types is unknown. Here, we used translating ribosome affinity purification methods to define the circadian translatomes of astrocytes, microglia, and bulk cerebral cortex, in healthy mouse brain and in the settings of amyloid-beta plaque pathology or aging. Our data reveal that glial circadian translatomes are highly cell type-specific and exhibit profound, context-dependent reprogramming of rhythmic transcripts in response to amyloid pathology or aging. Transcripts involved in glial activation, immunometabolism, and proteostasis, as well as nearly half of all Alzheimer Disease (AD)-associated risk genes, displayed circadian oscillations, many of which were altered by pathology. Amyloid-related differential gene expression was also dependent on time of day. Thus, circadian rhythms in gene expression are cell- and context dependent and provide important insights into glial gene regulation in health, AD, and aging.
 
Overall design Mice were sacrificed at specified time points and perfused with cycloheximide. Cortex was immediatley isolated and tissue frozen. After tissue processing, astrocyte- or microglia-specific RNA were isolated by incubating tissue with anti-GFP or anti-HA coated beads, respectively. Total RNA integrity was determined using Agilent Bioanalyzer or 4200 Tapestation. Library preparation was performed with 10ng of total RNA with a Bioanalyzer RIN score greater than 8.0. ds-cDNA was prepared using the SMARTer Ultra Low RNA kit for Illumina Sequencing (Takara-Clontech) per manufacturer's protocol. cDNA was fragmented using a Covaris E220 sonicator using peak incident power 18, duty factor 20%, cycles per burst 50 for 120 seconds. cDNA was blunt ended, had an A base added to the 3' ends, and then had Illumina sequencing adapters ligated to the ends. Ligated fragments were then amplified for 12-15 cycles using primers incorporating unique dual index tags. Fragments were sequenced on an Illumina NovaSeq-6000 using paired end reads extending 150 bases.RNA-seq reads were then aligned and quantitated to the Ensembl release 101 primary assembly with an Illumina DRAGEN Bio-IT on-premise server running version 3.9.3-8 software.
 
Contributor(s) Sheehan PW, Musiek ES
Citation(s) 38853870
Submission date Mar 15, 2024
Last update date Dec 11, 2024
Contact name Patrick Sheehan
E-mail(s) Patrick.Sheehan1@umassmed.edu
Organization name University of Massachusetts Medical School
Department Neurobiology
Lab Schafer Lab
Street address 364 Plantation Ave.
City Worcester
State/province MA
ZIP/Postal code 01605
Country USA
 
Platforms (2)
GPL21493 Illumina HiSeq 3000 (Mus musculus)
GPL24247 Illumina NovaSeq 6000 (Mus musculus)
Samples (165)
GSM8148910 Microglia, APP, 2am, rep1
GSM8148911 Microglia, APP, 4am, rep1
GSM8148912 Microglia, APP, 6am, rep1
Relations
BioProject PRJNA1088445

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
GSE261698_APP_Astrocyte_Counts.csv.gz 1.4 Mb (ftp)(http) CSV
GSE261698_APP_Bulk_Counts.csv.gz 1.5 Mb (ftp)(http) CSV
GSE261698_APP_Microglia_Counts.csv.gz 1.5 Mb (ftp)(http) CSV
GSE261698_Aged_Astrocyte_Counts.csv.gz 1.0 Mb (ftp)(http) CSV
GSE261698_Aged_Microglia_Counts.csv.gz 1.1 Mb (ftp)(http) CSV
GSE261698_RAW.tar 41.5 Mb (http)(custom) TAR (of MTX, TSV)
GSE261698_WT_Astrocyte_Counts.csv.gz 1.4 Mb (ftp)(http) CSV
GSE261698_WT_Bulk_Counts.csv.gz 1.5 Mb (ftp)(http) CSV
GSE261698_WT_Microglia_Counts.csv.gz 1.4 Mb (ftp)(http) CSV
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