ABSTRACT: 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.
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.
Project description:We detected DNA methylation of a fibrosarcoma with ESCC sample and the corresponding normal sample to identify the aberrant DNA methylation status in this rare 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.
Project description:We demonstrate that blood and esophageal tissues shared similar DNA methylation patterns within the same individual,suggesting an influence of genetic background on DNA methylation. Recent studies have shown a genetic influence on gene expression variation, chromatin, and DNA methylation. However, the effects of genetic background and tissue types on DNA methylation at the genome-wide level have not been characterized extensively. To study the effect of genetic background and tissue types on global DNA methylation, we performed DNA methylation analysis using the Affymetrix 500K SNP array on tumor, adjacent normal tissue, and blood DNA from 30 patients with esophageal squamous cell carcinoma (ESCC). The use of multiple tissues from 30 individuals allowed us to evaluate variation of DNA methylation states across tissues and individuals. Our results demonstrate that blood and esophageal tissues shared similar DNA methylation patterns within the same individual, suggesting an influence of genetic background on DNA methylation. Furthermore, we showed that tissue types are important contributors of DNA methylation states. Methylation and gDNA intensity data derived from Affymetrix 500k array. 30 individuals with blood, normal and tumor esophageal tissues.
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. Bisulfite converted DNA from the 288 samples were hybridised to the Illumina GolodenGate methylation cancer panel I