NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE117646 Query DataSets for GSE117646
Status Public on Jul 25, 2018
Title Microglial translational profiling reveals a convergent APOE pathway from aging, amyloid, and tau
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Alzheimer’s disease (AD) is an age-associated neurodegenerative disease characterized by amyloidosis, tauopathy, and activation of microglia, the brain resident innate immune cells. We show that a RiboTag translational profiling approach can bypass biases due to cellular enrichment/cell sorting. In our recent study entitled “Microglial translational profiling reveals a convergent APOE pathway from aging, amyloid, and tau”, we utilized data acquired using this approach in models of amyloidosis, tauopathy, and aging, to reveal a common set of alterations and identified a central APOE-driven network that converged on CCL3 and CCL4 across all conditions. Notably, examination of the aged female dataset demonstrated a significant exacerbation of many of these shared transcripts in this APOE network, revealing a potential mechanism for increased AD susceptibility in females. This study has broad implications for microglial transcriptomic approaches and provides new insights into microglial pathways associated with different pathological aspects of aging and AD.
 
Overall design Microglial transcriptomes from the forebrain were generated using RNAseq using an Illumina HiSeq 4000 were done for N=3-5 animals per condition in the context of aging, amyloidosis, tauopathy, and systemic inflammation (i.e. LPS or Poly(I:C) stimulation) in RiboTag mice. In addition, a cellular isolation procedure using enzymatic digestion and cell sorting was also used to compare this protocol versus RiboTag isolation during basal conditions and LPS induced inflammation.
 
Contributor(s) Fryer J, Kang S
Citation(s) 30082275
Submission date Jul 25, 2018
Last update date Mar 19, 2019
Contact name Xuewei Wang
Organization name Mayo Clinic
Street address 200 1st street
City Rochester
ZIP/Postal code 55902
Country USA
 
Platforms (1)
GPL21103 Illumina HiSeq 4000 (Mus musculus)
Samples (70)
GSM3305473 s_S1_C
GSM3305474 s_S2_C
GSM3305475 s_S3_C
Relations
BioProject PRJNA482826
SRA SRP155199

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
GSE117646_All_samples_rpkm.xlsx 33.3 Mb (ftp)(http) XLSX
Raw data are available in SRA
Processed data are available on Series record

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap