Project description:the goal of this study is to use high-throughput RNA-Sequencing technology to identify genes that are differentially expressed in iron deficient (ID) placentas compared to iron adequate (IA) placentas. A secondary aim is to explore whether iron deficiency has differential impact on male compared with female placental transcriptome.
Project description:Background: Maternal iron deficiency (ID) is associated with poor pregnancy and fetal outcomes. The effect is thought to be mediated by the placenta but there is no comprehensive assessment of placental response to maternal ID. Additionally, whether the influence of maternal ID on the placenta differs by fetal sex is unknown. Objectives: Our primary aim was to identify gene and protein signatures of ID mouse placentas at mid-gestation. A secondary objective was to profile the expression of iron genes in mouse placentas across gestation. Methods: We used a real-time PCR based array to determine the mRNA expression of all known iron genes in mouse placentas at embryonic day (E) 12.5, E14.5, E16.5, and E19.5 (n=3 placentas/time point). To determine the effect of maternal ID, we performed RNA sequencing and proteomics in male and female placentas from ID and iron adequate mice at E12.5 (n=8 dams/diet). Results: In female placentas, six genes including transferrin receptor (Tfrc) and solute carrier family 11 member 2 were significantly changed by maternal ID. An additional 154 genes were altered in male ID placentas. Proteomic analysis quantified 7662 proteins in the placenta. Proteins translated from iron responsive element (IRE) containing mRNAs were altered in abundance; ferritin and ferroportin 1 decreased while TFRC increased in ID placenta. Less than 4% of the significantly altered genes in ID placentas occurred both at the transcriptional and translational levels. Conclusions: Our data demonstrate that the impact of maternal ID on placental gene expression in mice is limited in scope and magnitude at mid-gestation. We provide strong evidence for IRE-based transcriptional and translational coordination of iron gene expression in the mouse placenta. Finally, we discover sexually dimorphic effects of maternal ID on placental gene expression, with more genes and pathways altered in male compared with female mouse placentas.
Project description:Tissue specific DNA methylation is present across many genomic elements, including large genomic regions. Most human tissues posses highly methylated genomes (>70%), but recent data has suggested the presence of partially methylated domains (PMDs) in some cell-lines. Placenta is a unique human tissue which has very different molecular properties than most tissues. It is the aim of this study to identify the presence/absence of PMDs in placental tissue and further define the DNA methylation landscape of the placenta. In particular this experiment is designed to look at the placental methylome across gestational ages in chromosome 21 to detect methylomic differences throughout development.
Project description:Robust identification of placental PPARg target genes via mutliple PPARg-dependence criteria. Integration of differential expression data from Pparg-null, Rxra-null, Med1-nul and Ncoa6-null placentas and from WT and Pparg-null Trophoblast stem cells (TSC) differentiated for 2 or 4 days in the presence or absence of the PPARg agonist Rosiglitazone (Rosi). [Placentas] Three pools of three WT placentas, each vs a litter-matched pool of three Pparg-null placentas Three pools of three WT placentas, each vs a litter-matched pool of three Rxra-null placentas Three pools of three WT placentas, each vs a litter-matched pool of three Med1-null placentas Three pools of three WT placentas, each vs a litter-matched pool of three Ncoa6-null placentas [Trophoblast stem cells (TSC)] Three independent WT TSC lines differentiated for two and four days in the presence or absence of Rosi vs two independent Pparg-null TSC lines differntiated for the same durations in the presence of Rosi
Project description:The aim of this study is to define the mutational landscape of human liver tumours. .
This dataset contains all the data available for this study on 2020-02-20.
Project description:The series is composed of thirty hybridizations for analysis of differentially expressed genes in normal placenta tissues from patients with normal labor and placenta tissues from patients with severe preeclampsia. Patients tissues samples were obtained from (Vasilis. Total RNA extraction was performed by using the MagNa Pure Compact RNA Isolation Kit (Roche Applied Science). Keywords: Gene expression study, Disease state Twenty-six out of 50 normal placentas were randomly selected to match with 17 preeclamptic placentas, accounting for parity. Microarrays were performed applying a direct comparison design.
Project description:Introduction: To determine the miRNA expression profile in pregnancies complicated by Preeclampsia (PE) and compare it to uncomplicated pregnancies. Methods: Seventeen placentas from women with PE, [all of them being late onset PE (LOPE)], as well as 17 placentas from uncomplicated pregnancies were analyzed using miRNA NGS. For statistical analyses the MATLAB® simulation environment was applied. The expression of miR-99b and miR-23b were verified using Quantitative Real-Time Polymerase Chain Reaction. Results: Two miRNAs were found dysregulated in PE complicated placentas. Statistical analysis revealed that miR-99b and miR-23b were under-expressed in complicated placentas as compared to controls. Discussion: Since specific miRNAs can differentiate complicated from uncomplicated pregnancies, they may be considered as putative PE-specific biomarkers.
Project description:The aim of this study was to identify HDL and apoE-regulated genes in human placental endothelial cells (HPEC), which are exposed to fetal HDL. HPECs extracted from 5 human placentas were cultivated and treated for 16 h with 15ug/ml fetal HDL, 15ug/ml reconstituted HDL (rHDL), or endothelial basal medium (EBM) as vehicle control. Gene expression analysis from these 3 conditions (5 biological replicates) using 15 Applied Biosystems Human Whole Genome Survey V2.0 Microarrays was perfomed and significantly differentially expressed genes between two different groups (HDL vs control or rHDL vs control) were identified.