NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE89463 Query DataSets for GSE89463
Status Public on Jun 13, 2017
Title Transcriptomic analysis of endometrial tissues following GnRH agonist treatment in a mouse adenomyosis model
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Purpose: We sought a transcriptomic analysis of endometrial tissues following GnRH agonist treatment in a mouse model
Methods: The neonatal female mice were randomly divided into three groups: control group, adenomyosis group and GnRH agonist treatment group. The pregnant outcome was observed and compared among the three groups. Besides, endometrial tissues from Day 4 of pregnancy were transcriptomic analysed using bioinformatics approaches.
Results:We found that the litter size was smaller in adenomyosis group than control group (8±0.28vs. 11±0.26; P<0.05).However, the average live litter size was increased (10±0.28 vs.8±0.28; P<0.05) after GnRH agonist treatment. Transcriptomic analysis showed that compared with the adenomyosis group, 359 genes were differentially expressed in the GnRH agonist treatment group: 218 were down regulated and 141 were up regulated.Gene function analysis showed that the differentially expressed genes were related to diverse biological processes, including estrogen metabolism, cell cycle, and metabolites biosynthesis.
Conclusions: GnRH agonist can improve the pregnancy outcome of adenomyosis in mouse model. Besides pituitary down regulation effect, other possible mechanisms may play role in GnRH agonist treatment, e.g., regulate cell proliferation cycle. It may be useful for the further understand the the mechanisms of the GnRH agonist in adeomyosis treatment.
 
Overall design Transcriptomic analysis of endometrial tissues between GnRH agonist treatment group and non-GnRH agonist treatment group in a mouse adenomyosis model
 
Contributor(s) Guo S, Lu X, Gu R, Zhang D, Sun Y, Feng Y
Citation(s) 28331289
Submission date Nov 02, 2016
Last update date May 15, 2019
Contact name SONG GUO
E-mail(s) 304288026@qq.com
Phone +86-21-6437-4262
Organization name Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine
Street address RUIJIN 2TH ROAD
City SHANGHAI
ZIP/Postal code 20025
Country China
 
Platforms (1)
GPL18635 Ion Torrent Proton (Mus musculus)
Samples (6)
GSM2372637 S2_6
GSM2372638 S2_7
GSM2372639 S2_8
Relations
BioProject PRJNA352265
SRA SRP092485

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
GSE89463_All_Counts.txt.gz 397.9 Kb (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