Ena-DATASET-NCCK-13-06-2016-02:21:07:378-202 - samples
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00001002187 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:Gastric cancers in young patients are aggressive and predominantly of diffuse histology. Also, they are more frequent in female. To identify transcriptome profile in this unique subset of gastric cancers, RNA-seq analyses were performed using frozen cancer tissue. Adjacent normal tissue of the same patients were used in differently expressed gene selection and fusion gene prediction.
| EGAS00001001859 | EGA
Project description:Background: The majority of multi-omics studies make use of adjacent fresh-frozen tissue pieces for different analyses. This approach however is not considering the intrinsic tissue heterogeneity and can lead to a biological mismatch of different omics layers. To overcome this limitation, we here propose an alternative approach where tissue is cryogenically pulverized and lyophilized, obtaining a homogenous tissue powder that can be used for subsequent omics studies. The purpose of this study was to investigate how omics analysis differ or coincide when comparing adjacent tissue slices to homogenized powder using three major mammalian organs from a wildtype mouse model.
Methods: Healthy fresh-frozen and pulverized-lyophilized mouse tissue from brain, kidney, and liver was subjected to DNA methylation and genome sequencing (genomics), RNA sequencing (transcriptomics), protein (proteomics), and metabolite (metabolomics) analysis. Obtained analytical results were investigated by statistical and quality control measures, including dendrograms, correlation analysis, principal component analysis, RNA integrity, feature coverage, and energy charge estimation.
Results: DNA methylation was not affected differently by the two different tissue processing methods. The RNA integrity obtained was comparable between fresh-frozen tissue slicing and pulverization-lyophilization. The coverage of gene transcripts, proteins, and metabolites was preserved similarly by both methodological approaches. Overall the pulverization-lyophilization approach resulted in a reduced heterogeneity between biological replicates.
Conclusions: Cryogenically pulverized and lyophilized tissue preserves the most important cellular molecular features, such as RNA integrity, DNA methylation status, gene transcript, protein, and metabolite coverage. Therefore, it is a suitable alternative method for improved multi-omics analysis, providing reduced sample heterogeneity, beneficial for batch reproducibility, as well as easier transportation and storage conditions due to complete water removal.
2024-03-11 | MSV000094288 | MassIVE
Project description:The whole-genome oligonucleotide microarray analysis gives an opportunity for studying the unidentified gene expression background of the idiopathic and H.pylori related gastric erosive alterations. Using microarrays we compared the whole genome gene expression profile of HP+ and HP- gastric erosions and normal adjacent mucosa to explain the possible role and response to HP infection and to get morphology related mRNA expression patterns. Experiment Overall Design: Total RNA was extracted from frozen gastric biopsy specimens of patients with Helicobacter pylori positive (HP+) and Helicobacter pylori negative (HP-) antrum erosions (ER+), and the corresponding, adjacent normal mucosae (ER-) and hybridized on Affymetrix HGU133 Plus 2.0 microarrays
2008-06-18 | E-GEOD-5081 | biostudies-arrayexpress
Project description:Gene expression profiling of apparently normal gastric tissue (obtained from patients undergoing gastric surgery for Non-gastric cancers), paired normals (obtained from the same stomach as the gastric cancer but confirmed by frozen section not to harbour any tumour cells) and gastric cancer, with an intent to identify genes involved in the malignant transformation of normal gastric mucosa and to identify genes which can be used as biomarkers for early diagnosis and potential targets for treatment Identification of novel prognostic markers using microarray gene expression studies. Keywords: Patient tissue samples
2010-11-30 | GSE17154 | GEO
Project description:The goal of the project is to analyze different layers of proteome information including protein abundance and post-translational modifications of PGRC gastric tissue samples. Three pairs of human gastric cancer and adjacent normal tissues were extensively characterized by serial enrichments of phosphorylation and N-glycosylation (SEPG) coupled to LC-MS/MS method.
2017-03-31 | MSV000080818 | MassIVE
Project description:Reliable identification of cancer markers can have substantial implications to early detection of cancer. We report here an integrated computational and experimental study on identification of gastric cancer markers in patients’ tissue and sera based on (i) genome-scale transcriptomic analyses on 80 paired gastric cancer/reference tissues, with the aim of identifying abnormally expressed genes at various subtypes/stages of gastric carcinoma (ii) a computational identification of differentially expressed genes that may have their proteins secreted into blood circulation, followed by experimental validations. 160 Total samples were analyzed on paried tumor and adjacent normal tissues from 80 gastric cancer patients. Differential analysis identified genes with a fold-change over 1.5.
2011-03-01 | E-GEOD-27342 | biostudies-arrayexpress
Project description:The study was undertaken to identify microRNAs differently expressed by intestinal type of gastric cancer using miRNA microarray. The miRNA expression in the intestinal type of gastric cancer depending on H. pylori infection suggest that different gastric cancer pathogenesis could be exist between H. pylori-positive and -negative gastric cancer.
2014-01-25 | GSE54397 | GEO
Project description:We have employed whole genome microarray expression profiling as a discovery platform to identify genes with the potential to distinguish between the gastric cancer and adjacent nontumor tissue. The human gastric cancer tissue belonging to low-differentiated adenocarcinoma and adjacent nontumor tissue were analysed. Expression of TIPE1 and Wnt family from this signature was quantified in the same kind of samples by real-time PCR, confirming the change pattern.
2017-06-13 | GSE99908 | GEO
Project description:The study aimed to understand gradual biological variations during gastric tumorigenesis, and to identify the candidate genes that are involved in tumor progression and metastasis. cDNA microarray data were obtained from 10 pair of cancerous and normal adjacent tissue from gastric adenocarcinoma patients. As a results, we found that 136 genes were up-regulated and 96 genes were down-regulated by at least four-fold in tumor tissue. The analysis of gene clusters revealed a complex remodelling of normal gastric epithelium morphology and function associated with the tumorigenesis and metastasis. A large number of proteases are being overexpressed, together with keratins, genes associated with morphogenesis and anti-apoptosis. Between the most significant down-regulated genes, were genes involved gastric motility and synthesis, genes related to metabolic and pro-apoptotic processes. We report also, the identification of seven genes, significant up-regulated, that seems to be associated with tumor progression: KRT17, COL10A1, KIAA1199, SPP1, IL11, S100A2, and MMP3. Conclusions. Our cDNA microarray study identified several genes that appeared to meet the criteria of a good biomarker, and may therefore be especially useful for the development of diagnostic tools, for the early detection, or for the prediction of tumor progression.
2017-08-30 | GSE103236 | GEO
Project description:Gene expression profiling was performed to analyse human hepatocarcinomas (HCCs) of different histological grades and tumor-adjacent non-neoplastic liver tissues (FFPE samples from surgical specimens). Genes differently expressed in tumors versus adjacent non-neoplastic tissues were used for following bioinformatic analyses.
2021-01-21 | E-MTAB-8887 | biostudies-arrayexpress