NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE125569 Query DataSets for GSE125569
Status Public on Sep 30, 2019
Title 3’Pool-seq: an optimized cost-efficient and scalable method of whole-transcriptome gene expression profiling (Run0064)
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary The advent of Next Generation Sequencing has allowed transcriptomes to be profiled with unprecedented accuracy, but the steep costs associated with full-length library sequencing have posed a limit on the accessibility and scalability of the technology. To address these limitations, we developed 3’Pool-seq, a simple, cost-effective, and scalable RNA-seq method that focuses sequencing to the 3’ end of mRNA transcripts.
 
Overall design Transcriptomes (4 replicates each) from homozygous GFAP-IL6 mice were compared to those from wild-type C57BL/6 for differential gene expression using different amounts of cDNA input during the tagmentation step of 3'Pool-seq.
In this specific experiment, different amounts of total RNA were added to the Reverse Transcription reaction in order to optimize that step for 3'Pool-seq.
 
Contributor(s) Xi HS, Sholder G
Citation(s) 31959126
Submission date Jan 24, 2019
Last update date Feb 03, 2020
Contact name Hualin Xi
E-mail(s) simonxi111@gmail.com
Organization name AbbVie
Street address 34 webb st
City Lexington
State/province Massachusetts
ZIP/Postal code 02420
Country USA
 
Platforms (1)
GPL19057 Illumina NextSeq 500 (Mus musculus)
Samples (32)
GSM3577315 WT1_50ng
GSM3577316 WT2_50ng
GSM3577317 WT3_50ng
This SubSeries is part of SuperSeries:
GSE125571 3’Pool-seq: an optimized cost-efficient and scalable method of whole-transcriptome gene expression profiling
Relations
BioProject PRJNA516836
SRA SRP181854

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
GSE125569_Run0064.combined.count.txt.gz 1.2 Mb (ftp)(http) TXT
SRA Run SelectorHelp
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