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Series GSE132177 Query DataSets for GSE132177
Status Public on Dec 31, 2019
Title A systematic dissection of whole transcriptome profiling in the APP/PS1 mouse brain
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Non-coding RNA profiling by high throughput sequencing
Summary This study is the first to provide a systematic dissection of whole transcriptome profiling in the APP/PS1 mouse brain. The identified ceRNA networks may provide insight into the diagnosis and therapy of AD in the future.
 
Overall design we used deep RNA sequencing (RNA-seq) to examine whole transcriptome profiling in the brain of APP/PS1 mice (which express APP695swe and PS1-dE9 mutations) and wild-type control mice at the 6-month-old and 9-month-old stage.
 
Contributor(s) Wan J, Ma N
Citation(s) 31786335, 32035423
Submission date Jun 04, 2019
Last update date Mar 09, 2020
Contact name MA NA NA
E-mail(s) 15176888063@163.com
Organization name peking university
Street address haidian
City BEIJING
ZIP/Postal code 100000
Country China
 
Platforms (2)
GPL17021 Illumina HiSeq 2500 (Mus musculus)
GPL21273 HiSeq X Ten (Mus musculus)
Samples (36)
GSM3852163 circRNA WT1_6m
GSM3852164 lncRNA and mRNA WT1_6m
GSM3852165 miRNA WT1_6m
Relations
BioProject PRJNA546262
SRA SRP200404

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
GSE132177_circRNA.methods.pdf 393.2 Kb (ftp)(http) PDF
GSE132177_circRNA.software.pdf 60.1 Kb (ftp)(http) PDF
GSE132177_circRNA_Readcount_TPM.txt.gz 751.0 Kb (ftp)(http) TXT
GSE132177_lncRNA-mRNA.software.pdf 170.7 Kb (ftp)(http) PDF
GSE132177_lncRNA-mRNA_methods.pdf 318.3 Kb (ftp)(http) PDF
GSE132177_lncRNA_Readcount_FPKM.txt.gz 154.8 Kb (ftp)(http) TXT
GSE132177_mRNA_FPKM.txt.gz 2.4 Mb (ftp)(http) TXT
GSE132177_miRNA_Readcount_TPM.txt.gz 84.4 Kb (ftp)(http) TXT
GSE132177_small_RNA.methods.pdf 460.4 Kb (ftp)(http) PDF
GSE132177_small_RNA.software.pdf 341.6 Kb (ftp)(http) PDF
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Raw data are available in SRA
Processed data are available on Series record

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