Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Whole-genome methylation study of congenital lung malformations in children

ABSTRACT: Whole-genome methylation study of congenital lung malformations in children

PROVIDER: PRJNA730816 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Whole-genome methylation study of congenital lung malformations in children

Project description:The treatment of asymptomatic patients with congenital pulmonary malformations (CPMs) remains controversial, partially because the relationship between congenital lung malformations and malignancy is still undefined. Change in methylation pattern is a crucial event in human cancer, including lung cancer. We therefore studied all differentially methylated regions (DMRs) in a series of CPMs in an attempt to find methylation anomalies in genes already described in association with malignancy. The DNA extracted from resected congenital lung malformations and control lung tissue was screened using Illumina MethylationEPIC arrays. Comparison between the group of malformed samples or the malformed samples of same histology or each malformed sample and the controls, and between a pleuropulmonary blastoma (PPB) and controls were performed. All differentially methylated regions (DMRs) with an adjusted p value < 0,05 were studied. Every comparison highlighted a number of DMRs closed to genes involved either in cell proliferation or in embryonic development or included in the Cancer Gene Census. Their abnormal methylation had been already described in lung tumors. The presence of methylation abnormalities is suggestive of a correlation between congenital lung malformations and some step of malignant transformation.

2021-05-19 | GSE174625 | GEO

Whole-Genome Methylation Study of Congenital Lung Malformations in Children.

Project description:Background and objectivesThe treatment of asymptomatic patients with congenital pulmonary malformations (CPMs) remains controversial, partially because the relationship between congenital lung malformations and malignancy is still undefined. Change in methylation pattern is a crucial event in human cancer, including lung cancer. We therefore studied all differentially methylated regions (DMRs) in a series of CPMs in an attempt to find methylation anomalies in genes already described in association with malignancy.MethodsThe DNA extracted from resected congenital lung malformations and control lung tissue was screened using Illumina MethylationEPIC arrays. Comparisons between the group of malformed samples or the malformed samples of same histology or each malformed sample and the controls and between a pleuropulmonary blastoma (PPB) and controls were performed. Moreover, each malformed sample was pairwise compared with its respective control. All differentially methylated regions (DMRs) with an adjusted p-value <0,05 were studied.ResultsEvery comparison highlighted a number of DMRs closed to genes involved either in cell proliferation or in embryonic development or included in the Cancer Gene Census. Their abnormal methylation had been already described in lung tumors.ConclusionsMethylation anomalies already described in lung tumors and also shared by the PPB were found in congenital lung malformations, regardless the histology. The presence of methylation abnormalities is suggestive of a correlation between congenital lung malformations and some step of malignant transformation.

| S-EPMC8273538 | biostudies-literature

Novel molecular and phenotypic insights into congenital lung malformations

Project description:The purpose of this study was to identify gene expression changes associated with congenital lung malformations.

2018-01-23 | GSE100442 | GEO

Global interpretation of novel alternative splicing events in human congenital pulmonary airway malformations

Project description:To explore the long non-coding RNA (lncRNA) expression pattern of congenital lung malformations on a genome-wide scale and investigate their potential biological function in four types of congenital lung malformations.

2021-12-07 | GSE179404 | GEO

Array-CGH in Chinese children with congenital heart disease

Project description:We used Affymetrix CytoScan750K array to detect the pathogenic copy number variations in 7 Chinese children with congenital heart disease

2021-10-01 | E-MTAB-8315 | biostudies-arrayexpress

The application of second-generation sequencing in congenital pulmonary airway malformations

Project description:The application of second-generation sequencing in congenital pulmonary airway malformations

| PRJNA787785 | ENA

Copy Number Variation in Congenital Kidney Malformations

Project description:<p>We report a study of large rare, copy number variants (CNVs) in 192 patients with renal hypodysplasia (RHD). Congenital malformations of the kidney and urinary tract are present in 3 to 7 per 1,000 births, accounting for 16% of birth defects. These malformations account for 40-50% of pediatric and 7% of adult end-stage renal disease worldwide. Among these malformations, RHD represents a severe forms of disease with profound impact on long-term renal survival. We found that a significant fraction of RHD patients have a molecular diagnosis attributable to a genomic disorder, suggesting kidney malformations as a sentinel manifestation of pathogenic genomic imbalances.</p>

| phs000565.v1.p1 | EGA

Transcriptomics integrated with metabolomics reveals partial molecular mechanisms of nutritional risk and neurodevelopment in children with congenital heart disease

Project description:To explore molecular mechanisms affecting nutritional risk and neurodevelopment in children with congenital heart disease (CHD) by combining transcriptome and metabolome analysis. In this study, transcriptomic and metabolomic analysis of blood and serum samples from 26 children with CHD was performed to search for key DEGs and DEMs, and explore molecular mechanisms affecting nutritional risk and neurodevelopment in children with CHD.

2024-08-28 | GSE267250 | GEO

Serial Inversions Induce Tissue-specific Architectural Stripes, Gene Misexpression and Congenital Malformations

Project description:Serial Inversions Induce Tissue-specific Architectural Stripes, Gene Misexpression and Congenital Malformations

| PRJNA480261 | ENA

A multi-omics approach using a mouse model of cardiac malformations for prioritization of human congenital heart disease contributing genes [scRNA-seq]

Project description:Congenital heart disease (CHD) is the most common type of birth defect, affecting ~1% of all live births. Malformations of the cardiac outflow tract (OFT) account for ~30% of all CHD and include a range of CHDs from bicuspid aortic valve (BAV) to tetralogy of Fallot (TOF). We hypothesized that transcriptomic profiling of a mouse model of CHD would highlight disease-contributing genes implicated in congenital cardiac malformations in humans. To test this hypothesis, we utilized global transcriptional profiling differences from a mouse model of OFT malformations to prioritize damaging, de novo variants identified from exome sequencing datasets from published cohorts of CHD patients. Notch1+/-;Nos3-/- mice display a spectrum of cardiac OFT malformations ranging from BAV, semilunar valve (SLV) stenosis to TOF. Global transcriptional profiling of the E13.5 Notch1+/-;Nos3-/- mutant mouse OFTs and wildtype controls was performed by RNA sequencing (RNA-Seq). Analysis of the RNA-Seq dataset demonstrated genes belonging to the Hif1α, Tgf-β, Hippo, and Wnt signaling pathways were differentially expressed in the mutant OFT. Mouse to human comparative analysis was then performed to determine if patients with TOF and SLV stenosis display an increased burden of damaging, genetic variants in gene homologs that were dysregulated in Notch1+/-; Nos3-/- OFT. We found an enrichment of de novo variants in the TOF population among the 1,352 significantly differentially expressed genes in Notch1+/-;Nos3-/- mouse OFT but not the SLV population. This association was not significant when compared to only highly expressed genes in the murine OFT and of de novo variants in the TOF population. These results suggest that transcriptomic datasets generated from the appropriate temporal, anatomic and cellular tissues from murine models of CHD may provide a novel approach for the prioritization of disease-contributing genes in patients with CHD.

2021-06-28 | GSE171238 | 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