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Series GSE56524 Query DataSets for GSE56524
Status Public on Sep 01, 2014
Title Using RNA sequencing for identifying gene imprinting and random monoallelic expression in human placenta (RNA-seq)
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Given the possible critical importance of placental gene imprinting and random monoallelic expression on fetal and infant health, most of those genes must be identified, in order to understand the risks that the baby might meet during pregnancy and after birth. Therefore, the aim of the current study was to introduce a workflow and tools for analyzing imprinted and random monoallelic gene expression in human placenta, by applying whole-transcriptome (WT) RNA sequencing of placental tissue and genotyping of coding DNA variants in family trios. Ten family trios, each with a healthy spontaneous single-term pregnancy, were recruited. Total RNA was extracted for WT analysis, providing the full sequence information for the placental transcriptome. Parental and child blood DNA genotypes were analyzed by exome SNP genotyping microarrays, mapping the inheritance and estimating the abundance of parental expressed alleles. Imprinted genes showed consistent expression from either parental allele, as demonstrated by the SNP content of sequenced transcripts, while monoallelically expressed genes had random activity of parental alleles. We revealed 4 novel possible imprinted genes (LGALS8, LGALS14, PAPPA2 and SPTLC3) and confirmed the imprinting of 4 genes (AIM1, PEG10, RHOBTB3 and ZFAT-AS1) in human placenta. The major finding was the identification of 4 genes (ABP1, BCLAF1, IFI30 and ZFAT) with random allelic bias, expressing one of the parental alleles preferentially. The main functions of the imprinted and monoallelically expressed genes included: i) mediating cellular apoptosis and tissue development; ii) regulating inflammation and immune system; iii) facilitating metabolic processes; and iv) regulating cell cycle.
 
Overall design Placentas from ten family trios were analysed using RNA-Seq.
 
Contributor(s) Metsalu T, Viltrop T, Tiirats A, Rajashekar B, Reimann E, Kõks S, Rull K, Milani L, Acharya G, Basnet P, Vilo J, Mägi R, Metspalu A, Peters M, Haller-Kikkatalo K, Salumets A
Citation(s) 25437054
Submission date Apr 04, 2014
Last update date May 15, 2019
Contact name Tauno Metsalu
Organization name University of Tartu
Street address Liivi 2
City Tartu
ZIP/Postal code 50409
Country Estonia
 
Platforms (1)
GPL16288 AB 5500xl Genetic Analyzer (Homo sapiens)
Samples (10)
GSM1363307 P001
GSM1363308 P002
GSM1363309 P005
This SubSeries is part of SuperSeries:
GSE56781 Using RNA sequencing for identifying gene imprinting and random monoallelic expression in human placenta
Relations
BioProject PRJNA243888
SRA SRP041001

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
GSE56524_rnaseq_matrix_processed.txt.gz 787.2 Kb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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