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Series GSE114939 Query DataSets for GSE114939
Status Public on May 26, 2018
Title RNA-seq distinguished dominant inflammatory profile in placenta from a preterm labor mouse model and control
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Purpose: No gene expression profiles for the placenta in LPS-induced preterm labor mouse model have been published. The goal of this study was to obtain a comprehensive catalog of differentially expressed genes (DEGs) in the placenta using RNA-seq.
Methods: Preterm labor mouse model (P) and control pregnancy group (C) were gained using a protocol from R. Migale, et al., BMC MED 14 (2016):86. Briefly, on day 15.5 of gestation, an abdominal minilaparotomy was performed. The upper right uterine horn between the first and second sacs received injections of saline (C) or 20 mg E. coli LPS serotype O55:B5 (Sigma-Aldrich, Gillingham, UK) (P) to model preterm labor. Six hours after injections of LPS, the mice were sacrificed and placentas were excised and immediately snap-frozen in liquid nitrogen before being stored at −80°C for subsequent analysis. Placental mRNA profiles were generated by deep sequencing using Illumina seq 2500. The sequence reads that passed quality filters were analyzed at the transcript isoform level with TopHat followed by Cufflinks. qRT–PCR validation was performed using TaqMan and SYBR Green assays.
Results: We mapped about 44 million sequence reads per sample to the mouse genome (build mm8) and 25307 transcripts with TopHat workflow. 155 differentially expressed genes (DEGs) in placenta were identified between the preterm group and control group, with a fold change ≥1.5 and p value <0.05. 61 inflammation-related genes occupied the dominant role. 7 of these were validated with qRT–PCR.
Conclusions: Our study represents the first detailed analysis of transcriptomes in placenta in LPS-induced preterm labor mouse model by RNA-seq technology. Dominant inflammatory profile in this model was gained, which gives us a better understanding of the exact molecular processes involved in the development of preterm labor after infection.
 
Overall design Placentas from three control pregnancies and four preterm labors.
 
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Submission date May 25, 2018
Last update date Mar 21, 2019
Contact name Yi Xiaochun
E-mail(s) 329098686@qq.com
Phone +8615622259131
Organization name Sun Yat-sen Memorial Hospital of the Sun Yat-sen University
Street address No. 107 West Road along the river, Yuexiu District
City Guangzhou
State/province Guangdong
ZIP/Postal code 510120
Country China
 
Platforms (1)
GPL17021 Illumina HiSeq 2500 (Mus musculus)
Samples (7)
GSM3156530 C1
GSM3156531 C2
GSM3156532 C3
Relations
BioProject PRJNA473153
SRA SRP148996

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
GSE114939_processed_data.txt.gz 1.5 Mb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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