Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Expression and methylation profiling of esophageal NEC

ABSTRACT: Expression and methylation profiling of esophageal NEC

PROVIDER: PRJNA453977 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR7074294_1.fastq.gz	Fastqsanger.gz
	SRR7074294_2.fastq.gz	Fastqsanger.gz
	SRR7074295_1.fastq.gz	Fastqsanger.gz
	SRR7074295_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 4 of 4

Similar Datasets

Epigenomics analysis of an esophageal NEC case

Project description:We detected DNA methylation of an esophageal NEC sample and the corresponding normal sample to identify the aberrant DNA methylation status in this rare disease.

2018-04-28 | GSE113775 | GEO

microRNA expression data of paired esophageal NEC samples

Project description:We detected the expression of miRNA in an esophageal NEC sample and the corresponding normal esophagus tissue. Then, we identified the differentially expressed miRNAs in this rare disease.

2018-04-28 | GSE113776 | GEO

Analysis of a case of esophageal NEC at transcriptome level

Project description:RNA-seq of a paired esophageal NEC sample and the corresponding normal esophageal sample from the same individual.

2018-04-28 | GSE113777 | GEO

microRNA expression data of paired esophageal NEC samples

Project description:microRNA expression data of paired esophageal NEC samples

| PRJNA453980 | ENA

Epigenomics analysis of an esophageal NEC case

Project description:Epigenomics analysis of an esophageal NEC case

| PRJNA453982 | ENA

Analysis of a case of esophageal NEC at transcriptome level

Project description:Analysis of a case of esophageal NEC at transcriptome level

| PRJNA453981 | ENA

Expression and methylation profiling of esophageal NEC

Project description:This SuperSeries is composed of the SubSeries listed below.

2018-04-28 | GSE113779 | GEO

Common inflammatory pathways between NEC and Crohn's disease

Project description:Necrotizing enterocolitis (NEC) is the most frequent life-threatening gastrointestinal disease experienced by premature infant occuring in neonatal intensive care units. NEC is associated with severe intestinal inflammation, intestinal perforation leading to mortality. The challenge for neonatologists is to detect early clinical manifestations of NEC. Therefore, one of the strategies to prevent or treat NEC would be to develop an early diagnostic tool allowing identification of preterm infants either at risk of developing NEC or at the onset of the disease. Illumina’s deep sequencing technology (RNA-seq) was used to establish the gene expression profile between resected ileal healthy preterm (control, n=5) and NEC diagnosed preterm infant (NEC, n=9) and analyzed by IPA Core analysis system. IPA analysis indicated that the most significant functional pathways overrepresented in NEC neonates were associated with innate immune functions, such as altered T and B cell signaling, B cell development, and the role of pattern recognition receptors in recognition of bacteria and viruses. Among genes that were strongly modulated in NEC neonates, we observed a high degree of similarity with those linked to the development of IBD. By comparing gene expression patterns between NEC and Crohn’s disease, we identified several new potential protein targets for helping to predict and/or diagnose NEC in preterm infant. Gene expression profile revealed an uncontrolled innate immune response in the intestine of NEC neonates. Moreover, comparative analysis between NEC and Crohn’s disease evidenced high degree of similarity between these two inflammatory diseases and allowed us to identify several new potential NEC biomarkers.

2016-01-25 | GSE64801 | GEO

Methylation profiles of esophageal squamous cell carcinoma patients and cancer-free individual in Taiwan.

Project description:Genome wide DNA methylation profiling of tumor and normal samples with esophageal squamous cell carcinoma patients. The Illumina GolodenGate methylation cancer panel I was used to obtain DNA methylation profiles across approximately 1,505 CpGs in esophageal squemous cell carcinoma samples. Samples included normal, tumors and plasma samples with esophageal squamous cell carcinoma, also inculding the plasma samples with cancer-free individual.

2014-09-11 | GSE51287 | GEO

Methylation profiles of esophageal squamous cell carcinoma patients and cancer-free individual in Taiwan.

2014-09-11 | E-GEOD-51287 | biostudies-arrayexpress