Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Integrative analysis of DNA methylation and gene expression data among preterm and/or small for gestational age infants during perinatal period [expression]

ABSTRACT: Integrative analysis of DNA methylation and gene expression data among preterm and/or small for gestational age infants during perinatal period [expression]

PROVIDER: PRJNA434653 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Integrative analysis of DNA methylation and gene expression data among preterm and/or small for gestational age infants during perinatal period [expression]

Project description:Preterm or small for gestational age (SGA) infants are to be at high risk of noncommunicable diseases in adolescence, because they are exposed to hypoxia and malnutrition in and ex utero during perinatal period. Epigenetics could be one of the most important mechanisms of DOHaD.In the field of premature babies, previous studies investigated the methylation alterations related to gestational age and birthweight by using cord blood samples. In the field of preterm or SGA babies, there were few EWAS studies that examine whether methylation changes relate to RNA expression using cord blood samples, and the interpretation of postnatal blood methylation were different by studies.The objective is to investigate the epigenetic alterations associated with preterm birth and SGA by using methylation and expression microarray, and to explore the epigenetic changes which may persist after birth.

2021-02-09 | GSE110822 | GEO

Integrative analysis of DNA methylation and gene expression data among preterm and/or small for gestational age infants during perinatal period [methylation]

2021-02-09 | GSE110828 | GEO

Integrative analysis of DNA methylation and gene expression data among preterm and/or small for gestational age infants during perinatal period

Project description:Integrative analysis of DNA methylation and gene expression data among preterm and/or small for gestational age infants during perinatal period

| PRJNA434671 | ENA

Integrative analysis of DNA methylation and gene expression data among preterm and/or small for gestational age infants during perinatal period [methylation]

Project description:Integrative analysis of DNA methylation and gene expression data among preterm and/or small for gestational age infants during perinatal period [methylation]

| PRJNA434675 | ENA

Genomics of the ovine heart ontogeny during the perinatal period

Project description:The period of development from the last two weeks of gestation through the first two weeks of life spans a period of great functional and metabolic challenge to the fetal and neonatal lamb heart. Important changes in gene expression occur to meet these challenges. On this study, septa from sheep hearts at 130 days gestation (n=6), term (n=8, gestational lenght is around 145 days) and 14-days-old lambs (n=8) were used to model the changes in gene expression patterns during the perinatal period using Agilent 15k ovine microarrays. Weighted gene co-expression network analysis (WGCNA) determined five major patterns of co-expressed and functionally related genes during this critical period of cardiac transition. Septum samples from the heart were collected from non-treated fetuses at 130 days of gestational age (GA130d, n=6) and term (n=8); and from naturally born 14-days-old lambs (Lamb, n=8). None of the ewes suffered gestational diseases or showed signs of impending labor.

2015-07-30 | E-GEOD-66725 | biostudies-arrayexpress

Genomics of the ovine heart ontogeny during the perinatal period

2015-07-30 | GSE66725 | GEO

Marked methylation changes of intestinal genes in the neonatal period of preterm neonates

Project description:We hypothesized that the immature pig intestine would be highly sensitive to gene methylation changes in the immediate prenatal and neonatal periods. We performed a Reduced Representation Bisulfite Sequencing (RRBS) to assess the DNA methylation differences occurring during the last 10 days prenatally (PN, 0d-term vs. 0d-preterm), neonatally after 4 days (NN, 4d-preterm vs. 0d-preterm) and after NEC development (4d-preterm-NEC vs. 4d-preterm) in pigs (each group n=2-3). Differentially methylated gene regions (DMRs) between the groups were identified, subjected to KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway analysis and selected genes were chosen for further validation of gene expression levels by RT-PCR (n= 6 for each group). Consistent with the need to increase expression of many intestinal genes in the perinatal period, methylation levels of most genes decreased during the prenatal and neonatal periods. We identified four intestinal genes (CYP2W1, GPR146, TOP1MT, CEND1), related to intestinal metabolism, that were significantly hyper-methylated in their promoter CGIs, and transcriptionally down-regulated in the 4 d-old preterm pigs. This down-regulation of intestinal metabolism may predispose to intestinal dysfunction and NEC. The first enteral feeds and bacterial colonization are critical factors for NEC sensitivity and it remains to be investigated whether these factors affect intestinal gene methylation and thereby predispose to, or prevent from, disease more long term.

2014-12-31 | GSE53747 | GEO

RNA-seq of peripheral whole blood from ten healthy preterm infants and ten preterm infants with bronchopulmonary dysplasia

Project description:We procured peripheral whole blood from ten healthy preterm infants and ten preterm infants with bronchopulmonary dysplasia

2024-10-27 | E-MTAB-14506 | biostudies-arrayexpress

A Dysregulated Proinflammatory Status in Preterm School-aged Children with PVL-induced Spastic Cerebral Palsy

Project description:Injury occurring during critical periods of development may have long-term effects on inflammatory responses. Periventricular leukomalacia (PVL) is the most common cause of cerebral palsy (CP) in preterm infant. Activated leukocytes are the main source of inflammatory cytokines that give rise to white matter damage and CP in preterm infant. Here, we tested the hypothesis that inflammation profiles as pathogenic mediators for the occurrence of PVL in the neonatal period may persist in preterm children with CP at school age. Five preterm children with PVL-induced CP and gestational age-matched five preterm children with normal neurodevelopment were recruited from follow up clinics. Proinflammatory gene expression in the PBMCs from preterm children were determined by Superarray PCR study.

2010-05-22 | E-GEOD-17390 | biostudies-arrayexpress

Single-cell RNAseq analysis of testicular germ and somatic cell development during the perinatal period

Project description:Pro-spermatogonia (SG) serve as the gateway to spermatogenesis. Using single-cell RNA sequencing (RNAseq), we studied the development of ProSG, their SG descendants, and testicular somatic cells, during the perinatal period in mice. We identified both gene and protein markers for 3 temporally distinct ProSG cell subsets, including a migratory cell population with a distinct transcriptome from the previously defined T1- and T2-ProSG stages. This intermediate (I)-ProSG subset translocates from the center of seminiferous tubules to the spermatogonial stem cell (SSC) “niche” in its periphery soon after birth. We identified 3 undifferentiated SG subsets at postnatal day 7, each of which express distinct genes, including transcription factor and signaling genes. Two of these subsets have the characteristics of newly emergent SSCs. We also molecularly defined the development of Sertoli, Leydig, and peritubular myoid cells during the perinatal period, allowing us to identify candidate signaling pathways acting between somatic and germ cells in a stage-specific manner during the perinatal period. Our study provides a rich resource for those investigating testicular germ and somatic cell developmental during the perinatal period.

2020-01-22 | GSE130593 | 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