Project description:Gastric cancers account for the fourth most frequent cancer death worldwide. Although many differential gene expression profiles are reported for gastric cancers, their variation at the post-transcriptional level has not been provided yet. In this study, we compared the gene expressions of normal stomach vs. stomach cancer in an exon-wise manner and compared alternatively spliced transcripts. The RNA from normal and cancer tissues of gastric cancer patients were subjected to Exon 1.0 ST microarrays. Transcriptome analysis of RNAs from normal and cancer tissues of human stomach by exon array. We analyzed 30 pairs of normal-cancer stomach tissues using the Affymetrix Human Exon 1.0 ST platform. Array data was processed by the Affymetrix Exon Array Computational Tool.
Project description:Gastric cancers account for the fourth most frequent cancer death worldwide. Although many differential gene expression profiles are reported for gastric cancers, their variation at the post-transcriptional level has not been provided yet. In this study, we compared the gene expressions of normal stomach vs. stomach cancer in an exon-wise manner and compared alternatively spliced transcripts. The RNA from normal and cancer tissues of gastric cancer patients were subjected to Exon 1.0 ST microarrays.
Project description:Manuscript Title: Discovery of tissue-specific exons using comprehensive human exon microarrays We have designed a high-density oligonucleotide microarray with probesets for more than one million annotated and predicted exons in the human genome. Using these arrays and a simple algorithm that normalizes exon signal to signal from the gene as a whole, we have identified tissue-specific exons from a panel of 16 different normal adult tissues. Pair-wise comparisons between the tissues suggest that 75% of detected genes are differentially alternatively spliced. We also demonstrate how an inclusive exon microarray can be used to discover novel alternative splicing events. As examples, 15 new tissue-specific exons from 9 genes were validated by RT-PCR and sequencing. Keywords: exon analysis
Project description:Control samples used to performed gene expression comparison with breast cancer tissues. mRNA samples from normal breast tissue were amplified, labeled, and hybridized to the Affymetrix GeneChip Human Exon 1.0 ST array. After normalization and analysis of the microarray data using Partek® software (http://www.partek.com).
Project description:The human gastric mucosa is the most active and functional layer that carries out food digestion and metabolic processes in physiological conditions and also the main origin of carcinogenesis in gastric cancer. Anatomically, the human stomach is divided into 7 regions with physiological functions, but the protein basis for cellular specialization is not well understood. Here we present a global analysis of protein profiles of 80 apparently normal mucosas obtained by endoscopic biopsy of stomach. We identified 11,597 proteins and provided an estimation of protein expression variations/ranges in the 7 regions of the human stomach. To our knowledge, this is the first region-resolved, near normal tissue proteome reference map obtained from living individuals. We also measured mucosa protein profiles of tumor and tumor nearby tissues (TNT) from 54 gastric cancer patients, allowing for comparisons between tumor, TNT, and normal tissues. These datasets provide a rich resource for the gastrointestinal tract research community to investigate the molecular basis for region specific functions in mucosa physiology and pathology including gastric cancer.
Project description:Whole genome DNA methylation profiling of stomach cancer in patients from Mizoram, India. The Illumina Infinium 450k Human DNA methylation Beadchip was used to screen the entire DNA methylation profiles across approximately 485,577 CpGs in matched stomach cancer samples. Samples included 12 paired samples (12 cancer and 12 normal).
Project description:Dysregulated miRNA in human colorectal cancer (CRC) were identified through comparison between 4 CRC tumors and their adjacent normal tissues by miRNA array. Histologically-confirmed CRC were included in this study. CRC tissues and paired adjacent normal tissues were obtained from the resected surgical specimens. The adjacent normal tissue is composed of normal colonic mucosa located at approximately 10 cm away from the cancer tissue. miRNA profiling of 754 human miRNAs was performed using TaqMan Human MiRNA Array Set v3.0. Quantitative real-time polymerase chain reaction (Q-PCR) was performed using Applied Biosystems 7900HT Real-Time PCR System (Applied Biosystems). Results were analyzed by the SDS RQ Manager 1.2 software (Applied Biosystems).
Project description:Recent advances in high density oligonucleotides microarray technology have generated solutions for molecular profiling of human samples at an unprecedented resolution. We mapped whole blood RNA from healthy volunteers and CD34+ collected by cytapheresis from patients to Exon ST 1.0 microarray probing for most known and predicted human exons. Comparison with a broad panel of solid tissues showed that blood displayed the largest tissue specific signature. This unique expression profile comprised transcripts from every blood cell compartment. Moreover, by scanning the expression of over one million different exons, several transcripts were identified as alternatively transcribed between whole blood and solid tissues, or CD34+ and other tissues. The precision of this expression map, at the exon resolution, and the coverage of every blood cell type and hematopoietic stem cells suggest that it will be possible to link specific whole blood exon signatures to many diseases such as cancer or auto-immune disorders and to discover alternative splicing events specific of mature blood cells or stem cells compartment.
Project description:Prostate cancer (PCa) tends to be more aggressive and lethal in African Americans (AA) compared to European Americans (EA). To further understand the biological factors accounting for the PCa disparities observed in AA and EA patients, we performed gene profiling using Affymetrix human exon 1.0 ST arrays to identify the differentially expressed genes beween AA cancer and patient matched normal tissues. 40 prostate biopsy specimens (tumor and adjacent normal tissues) were collected from 20 African American prostate cancer patients. RNA samples, purified from the collected biopy specimens, were process and applied to Affymetrix human exon ST 1.0 arrays. Array data was normalized, batch-corrected and analyzed (2-way ANOVA) using Partek Genomics Suite program.