Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Normal miRNA Expression Throughout Gestation in the Mare

ABSTRACT: Normal miRNA Expression Throughout Gestation in the Mare

PROVIDER: PRJNA450209 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR7003770.fastq.gz	Fastqsanger.gz
	SRR7003780.fastq.gz	Fastqsanger.gz
	SRR7003790.fastq.gz	Fastqsanger.gz
	SRR7003800.fastq.gz	Fastqsanger.gz
	SRR7003771.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 42

Similar Datasets

Normal miRNA Expression Throughout Gestation in the Mare

Project description:To characterize miRNA expression throughout gestation, we utilized small RNA sequencing to evaluate matched chorioallantois and serum samples from mares at 4 m gestation (n = 3), 10 m gestation (n = 3) and postpartum (n = 3), as well as serum from diestrus mares (n = 6).

2018-11-19 | GSE113142 | GEO

RNA-sequencing of bovine fetal ovaries throughout gestation

Project description:RNA-sequencing of bovine fetal ovaries throughout gestation

| PRJNA739136 | ENA

Circulating exosomal miRNA signature in pregnancies with gestational diabetes mellitus across gestation

Project description:The aim of this study was to establish the exosomal miRNA profile across gestation in normal and GDM pregnancies and to determine the signaling pathways associated with the changes in the miRNA profile in GDM.

2021-05-24 | GSE114860 | GEO

Integrated small RNA, mRNA and protein omics reveal a miRNA network orchestrating metabolic maturation of the developing human heart

Project description:As the fetal heart develops, cardiomyocyte proliferation potential decreases while fatty acid oxidative capacity increases, a highly regulated transition known as cardiac maturation. Small noncoding RNAs, such as microRNAs (miRNAs), contribute to the establishment and control of tissue-specific transcriptional programs. However, small RNA expression dynamics and genome wide miRNA regulatory networks controlling maturation of the human fetal heart remain poorly understood. Transcriptome profiling of small RNAs revealed the temporal expression patterns of miRNA, piRNA, circRNA, snoRNA, snRNA and tRNA in the developing human heart between 8 and 19 weeks of gestation. Our analysis revealed that miRNAs were the most dynamically expressed small RNA species throughout mid-gestation. Cross-referencing differentially expressed miRNAs and mRNAs predicted 6,200 mRNA targets, 2134 of which were upregulated and 4066 downregulated as gestation progresses. Moreover, we found that downregulated targets of upregulated miRNAs predominantly control cell cycle progression, while upregulated targets of downregulated miRNAs are linked to energy sensing and oxidative metabolism. Furthermore, integration of miRNA and mRNA profiles with proteomes and reporter metabolites revealed that proteins encoded in mRNA targets, and their associated metabolites, mediate fatty acid oxidation and are enriched as the heart develops.This study revealed the small RNAome of the maturing human fetal heart. Furthermore, our findings suggest that coordinated activation and repression of miRNA expression throughout mid-gestation is essential to establish a dynamic miRNA-mRNA-protein network that decreases cardiomyocyte proliferation potential while increasing the oxidative capacity of the maturing human fetal heart.

2024-01-26 | PXD044936 | Pride

High-throughput miRNA sequencing of the human placenta: expression throughout gestation.

Project description:Aim: To understand miRNA changes across gestation in healthy human placentae. This is essential before miRNAs can be used as biomarkers or prognostic indicators during pregnancy. Materials & methods: Using next-generation sequencing, we characterize the normative human placenta miRNome in first (n = 113) and third trimester (n = 47). Results & conclusion: There are 801 miRNAs expressed in both first and third trimester, including 182 with similar expression across gestation (p ≥ 0.05, fold change ≤2) and 180 significantly different (false discovery rate <0.05, fold change >2). Of placenta-specific miRNA clusters, chromosome 14 miRNA cluster decreases across gestation and chromosome 19 miRNA cluster is overall highly expressed. Chromosome 13 clusters are upregulated in first trimester. This work provides a rich atlas of healthy pregnancies to direct functional studies investigating the epigenetic differences in first and third trimester placentae.

| S-EPMC8244582 | biostudies-literature

RNA-sequencing of bovine fetal ovaries throughout gestation

Project description:Understanding the developmental origins of reproductive disorders cannot be achieved without understanding normal development and the connected transcriptomics of the fetal ovary. To better understand this, we profiled and analysed RNA from fetal ovaries across gestation (62-276 days, n=19). The platform used detected 25,133 genes for each sample across gestation. Principal Component analysis of the data clustered the samples in three stages of development [early I (up to 98 days), early II (98-135 days) and late (> 135 days)]. Differential expression of genes between the three stages will then be used to delineate the pathways which are up-/down-regulated during these developmental stages.

2022-03-04 | GSE178450 | GEO

Genetic effects on miRNA expression during mid-gestation neocortical development

Project description:Genetic effects on miRNA expression during mid-gestation neocortical development

| PRJNA897075 | ENA

Genetic effects on miRNA expression during mid-gestation neocortical development

Project description:Genetic effects on miRNA expression during mid-gestation neocortical development

| PRJNA897074 | ENA

Zika virus impacts extracellular vesicle composition and cellular gene expression in macaque early gestation trophoblasts

Project description:Zika virus (ZIKV) infection at the maternal-placental interface is associated with adverse pregnancy outcomes including fetal demise and pregnancy loss. To determine how infection impacts placental trophoblasts, we utilized rhesus macaque trophoblast stem cells (TSC) that can be differentiated into early gestation syncytiotrophoblasts (ST) and extravillous trophoblasts (EVT). TSCs and STs, but not EVTs, were highly permissive to productive infection with ZIKV strain DAK AR 41524. The impact of ZIKV on the cellular transcriptome showed that infection of TSCs and STs increased expression of immune related genes, including those involved in type I and type III interferon responses. ZIKV exposure altered extracellular vesicle (EV) protein, mRNA, and miRNA cargo, regardless of productive infection. These findings suggest that early gestation macaque TSCs and STs are permissive to ZIKV infection, and that EV analysis may provide a foundation for identifying non-invasive biomarkers of placental infection in a highly translational model.

2022-05-20 | PXD033289 | Pride

Genomics of the ovine fetal brain ontogeny during the last stage of gestation

Project description:Normal development in the brain requires temporal changes in gene expression. A better understanding of the genomics of the fetal brain during late gestation can help to improve our understanding of the molecular events that enable the newborn to survive extra-uterine life. The purpose of the present study is to model changes and coherence of gene expression in cerebral cortex, brainstem, hippocampus, and hypothalamus throughout the second half of gestation. We used the sheep as an animal model to identify co-expressed genes in different regions of the ovine fetal brain, from mid-gestation (80 days) to one day of postnatal life. In the ewe, gestation length varies from 142 to 152 days, with an average of 147 days. Using a newly-available ovine array and weighted gene co-expression network analysis (WGCNA), we tested the hypothesis that the resulting products of genes expressed in a similar pattern through the last stage of gestation in different brain regions are functionally related and could play an important role in the normal fetal development.

2014-06-30 | GSE50460 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data