Expression data from esophageal squamous cell carcinoma (ESCC)
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE17351 | GEO | 2009/09/01
SECONDARY ACCESSION(S): PRJNA119065
REPOSITORIES: GEO
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Project description:To characterize gene expression in esophageal squamous cell carcinoma, we examined gene expression in tumor and matched normal adjacent tissue from 17 ESCC patients from a high-risk region of China.
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Project description:To characterize gene expression in esophageal squamous cell carcinoma, we examined gene expression in tumor and matched normal adjacent tissue from 17 ESCC patients from a high-risk region of China. RNA was extracted from 17 micro-dissected tumor and matched normal tissue pairs using the PureLink Micro-to-Midi Total RNA Purification System (Invitrogen, Carlsbad, CA) Affymetrix HG-U133A 2.0 gene expression arrays were performed according to the manufacturer's directions. The Robust Multiarray Average (RMA) algorithm implemented in Bioconductor in R was used for background correction and normalization across all samples.
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Project description:MicroRNAs (miRNAs) are an endogenous conserved class of non-coding 20–22 nt small RNAs that regulate gene expression at post-transcriptional level by mostly binding to 3′-UTR of target mRNAs, leading to mRNA degradation or translation inhibition. Recent reports demonstrate a role for miRNA expression in the disease progression and outcome. By now, many researcher focusing on miRNA expression profiles in Barrett's esophagus and esophageal adenocarcinoma have been reported. Nevertheless, there is still a little information available about specific miRNA expression pattern and their roles in ESCC. To develop novel diagnostic and therapeutic targets for esophageal squamous cancer, we first investigated the expression profile of miRNA in three pairs of ESCC clinical samples. Tissues of ESCC and the matched normal counterparts were obtained from surgical specimens immediately after resection from patients undergoing primary surgical treatment of esophageal carcinoma from the Department of Tumor Surgery of Shantou Central Hospital, China. RNA labeling and hybridization were completed by KangChen Bio-tech Inc. (Shanghai, China) according to the manufacturer's instructions. Briefly, total RNA from three pairs of esophageal carcinoma and matched normal tissues were isolated by Trizol (Invitrogen, USA) and purified by RNeasy mini kit (QIAGEN, German). The concentration and quality of total RNA were measured by NanoDrop ND-1000 at 260 and 280 nm (A260/280) and checked by gel electrophoresis. Each RNA sample from three pairs of ESCC was separately labeled either using the miRCURY Hy3/Hy5 labeling kit and hybridized on the six miRCURYTM locked nucleic acid (LNA) array version 11.0 (Exiqon, Denmark), which contains probes for 1700 mature miRNA. Scans were quantified by using GenePix software (Molecular Devices). The data were exported to Microsoft Excel worksheets, log2 transformed, normalized using global Lowess (Locally Weighted Scatter plot Smoothing) regression algorithm (MIDAS, TIGR Microarray Data Analysis System).
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Project description:Esophageal squamous cell carcinoma (ESCC) remains one of the most deadly cancer types worldwide. Comprehensively dissecting the molecular characterization of ESCC paves the way for developing more promising therapeutics. Here, we performed RNA-seq and ATAC-seq on three pairs of ESCC tumor tissues and patient-matched adjacent normal tissues.
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Project description:To understand the difference of protein expression between paired esophageal squamous cell carcinoma (ESCC) and adjacent normal tissues, we collected 10 paired ESCC and normal tissues from surgical resected specimems for high-throughput proteomic experiments. From comparative analysis, the dysregulated signaling pathways in ESCC could be uncovered.
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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.
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