Differentially expressed genes in normal gastric mucosa and gastric cancer tissues
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE118897 | GEO | 2018/08/23
REPOSITORIES: GEO
Similar Datasets
Project description:Differentially expressed genes in normal gastric mucosa and gastric cancer tissues
| PRJNA487176 | ENA
Project description:COVID-19 typically manifests as a respiratory illness but several clinical reports described gastrointestinal (GI) symptoms. This is particularly true in children, whom GI symptoms are frequent and viral shedding outlasts viral clearance from the respiratory system. These observations raise the question of whether the virus can replicate within the stomach. Here we show the novel derivation of gastric organoids from fetal, pediatric and adult biopsies and prove their value as in vitro models for SARS-CoV-2 infection. To facilitate infection, we induced a reversed polarity in our organoids (RP-GOs). The pediatric RP-GOs are fully susceptible to infection with SARS-CoV-2, while the viral replication is significantly lower in organoids of fetal and adult origin. Transcriptomic analysis shows a moderate innate antiviral response and the lack of differentially expressed genes belonging to the interferon family. Collectively, we show how the virus can efficiently infect gastric epithelium, suggesting that the stomach might have an active role in fecal-oral SARS-CoV-2 transmission.
2021-09-20 | GSE184390 | GEO
Project description:To explore the patterns of gene expression in gastric cancer, a total of 32 paired gastric cancer and noncancerous tissues from patients were collected for gene expression microarray analyses. Limma methods were applied to analyze the data, and genes were considered to be significantly differentially expressed if the False Discovery Rate (FDR) values < 0.01, P-value < 0.01 and the fold change >2. Subsequently, Gene Ontology (GO) analysis was used to analyze the main functions of the differentially expressed genes. According to the Kyoto Encyclopedia of Genes and Genomes (KEGG) database, we found pathways significantly associated with the differential genes. Gene-Act network and Co-Expression networks were built respectively based on the relationships among the genes, proteins and compounds in the database. There were 2371 differential mRNAs and 350 differential lncRNAs in our microarray data. The GO categories, pathway analyses and the Gene-Act network showed a consistent result that up-regulated genes were involved in tumorigenesis, migration, angiogenesis and microenvironment formation, while down-regulated genes were involved in metabolism. The results of this study provide some novel findings on genes, pathways and the co-expression network in gastric cancer which will be useful to guide further investigation and target therapy for this disease. 32 gastric cancer tissues and 32 paired noncancerous tissues were collected for this microarray analysis.
2015-02-11 | E-GEOD-65801 | biostudies-arrayexpress
Project description:In this study, we did RNA-sequencing analysis to check the transcriptome of vehicle and DOPPA-treated CD34+ cells after 4 days ex-vivo culture. We noticed that expression of many genes which encode cell surface proteins including ITGA6 (CD49f) were significantly up-regulated, FDR-adjusted p-value < 0.01 and the fold change (FC) > 2, by DOPPA treatment. Gene ontology (GO) analysis revealed that many GO functions related to cell surface or plasma membrane related GOs which all include ITGA6 were significantly enriched in up-regulated differentially expressed genes (DEGs) including ITGA6 after DOPPA treatment. These data suggest that DOPPA treatment promotes transcription of ITGA6.
2021-09-30 | GSE131092 | GEO
Project description:Coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is a global public health emergency. COVID-19 typically manifests as a respiratory illness but an increasing number of clinical reports describe gastrointestinal (GI) symptoms. This is particularly true in children in whom GI symptoms are frequent and viral shedding outlasts viral clearance from the respiratory system. By contrast, fetuses seem to be rarely affected by COVID-19, although the virus has been detected in placentas of affected women. These observations raise the question of whether the virus can infect and replicate within the stomach once ingested. Moreover, it is not yet clear whether active replication of SARS-CoV-2 is possible in the stomach of children or in fetuses at different developmental stages. Here we show the novel derivation of fetal gastric organoids from 8-21 post-conception week (PCW) fetuses, and from pediatric biopsies, to be used as an in vitro model for SARS-CoV-2 gastric infection. Gastric organoids recapitulate human stomach with linear increase of gastric mucin 5AC along developmental stages, and expression of gastric markers pepsinogen, somatostatin, gastrin and chromogranin A. In order to investigate SARS-CoV-2 infection with minimal perturbation and under steady-state conditions, we induced a reversed polarity in the gastric organoids (RP-GOs) in suspension. In this condition of exposed apical polarity, the virus can easily access viral receptor angiotensin-converting enzyme 2 (ACE2). The pediatric RP-GOs are fully susceptible to infection with SARS-CoV-2, where viral nucleoprotein is expressed in cells undergoing programmed cell death, while the efficiency of infection is significantly lower in fetal organoids. The RP-GOs derived from pediatric patients show sustained robust viral replication of SARS-CoV-2, compared with organoids derived from fetal stomachs. Transcriptomic analysis shows a moderate innate antiviral response and the lack of differentially expressed genes belonging to the interferon family. Collectively, we established the first expandable human gastric organoid culture across fetal developmental stages, and we support the hypothesis that fetal tissue seems to be less susceptible to SARS-CoV-2 infection, especially in early stages of development. However, the virus can efficiently infect gastric epithelium in pediatric patients, suggesting that the stomach might have an active role in fecal-oral transmission of SARS-CoV-2.
2020-10-01 | GSE153684 | GEO
Project description:To explore the patterns of gene expression in gastric cancer, a total of 32 paired gastric cancer and noncancerous tissues from patients were collected for gene expression microarray analyses. Limma methods were applied to analyze the data, and genes were considered to be significantly differentially expressed if the False Discovery Rate (FDR) values < 0.01, P-value < 0.01 and the fold change >2. Subsequently, Gene Ontology (GO) analysis was used to analyze the main functions of the differentially expressed genes. According to the Kyoto Encyclopedia of Genes and Genomes (KEGG) database, we found pathways significantly associated with the differential genes. Gene-Act network and Co-Expression networks were built respectively based on the relationships among the genes, proteins and compounds in the database. There were 2371 differential mRNAs and 350 differential lncRNAs in our microarray data. The GO categories, pathway analyses and the Gene-Act network showed a consistent result that up-regulated genes were involved in tumorigenesis, migration, angiogenesis and microenvironment formation, while down-regulated genes were involved in metabolism. The results of this study provide some novel findings on genes, pathways and the co-expression network in gastric cancer which will be useful to guide further investigation and target therapy for this disease.
2015-02-11 | GSE65801 | GEO
Project description:To investigate the umbilical cord lncRNA profiles in gestational diabetes-induced macrosomia, the umbilical cord vein blood from normal and gestational diabetes-induced macrosomia was hybridized to a microarray containing probes representing 33,000 lncRNA genes. Quantitative real-time polymerase chain reaction (qPCR) was used to validate selected differentially expressed lncRNAs. The gene ontology (GO), pathway and network analysis were performed. The microarray identified 8814 lncRNAs that were expressed in the umbilical cord blood, of which 349 were significantly upregulated and 892 were significantly downregulated (fold-change ≥ 2.0) in GDM group. The highest enriched GOs targeted by downregulated transcripts were biological regulation. Pathway analysis indicated that nine pathways corresponded to downregulated transcripts.
2015-02-25 | GSE65737 | GEO
Project description:Objective: The purpose of this study is to describe colonic cells differential transcriptomes and cellular pathways directly modulated by exposure to prebiotics. Prebiotic oligosaccharides are widely used as animal and human in-feed additives for their beneficial effects on the probiotic gut microbiota. A number of studies have revealed a protective effect of several oligosaccharides on dysfunctional or challenged intestinal cells models through microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods. However, thus far there was limited data assessing the direct effect of such functional foods on on whole-transcriptome of unchallenged intestinal epithelial cells. Methods: Colonic mRNA profiles of confluent Caco-2 cells exposed for 24h to GOS or FOS and their respective mono- and di-saccharides mock treatments were generated for 3 biological replicates. Library pool was sequenced on the Illlumina NextSeq500 over two NextSeq500 High Output 150 cycle kits (Illumina; FC-404-2002). Sequence reads were quality checked with FastQC (version 0.11.3). Using CLC Genomics Workbench 12.03, sequences were trimmed from adaptor, paired and good quality sequence read pairs were mapped to the Homo sapiens GRCh38 reference genome (Hg38). Transcripts counts were normalised and differential gene expression analysed using the RNAseq Analysis Module of CLC Genomics Workbench 12.03. Gene ontology (GO) and Kyoto Encyclopaedia of Genes and Genomes (KEGG) analysis were developed to investigate the statistically significant gene sets (|FC value ≥ 1.5, FDR p-adj. < 0.05) by implementing the NIPA Enrichment R script (v0.6.7.R, https://github.com/ADAC-UoN/NIPA). RNAseq results were validated by qRT–PCR assays. Results: Sequencing generated between 45 to 134 million of 75-bp paired-end sequence reads per sample. An average of 58 million sequence reads per sample were paired and mapped to human genes (genome Homo sapiens GRCh38). For GOS exposure, 89 genes were differentially expressed (fold-change ≥ 1.5 and q-value < 0.05) between GOS and mock-treated groups. Gene ontology functional analysis revealed that genes up-regulated in the presence of GOS were involved in digestion, absorption, transmembrane transport whereas genes involved in drug and xenobiotic metabolic processes were reduced. With FOS treatment, 12 genes were differentially expressed (fold-change ≥ 1.5 and q-value < 0.05) relative to the control group and functional analysis of enriched GO terms revealed up-regulated DEGs were associated with steroid metabolic process. Conclusions: Our study details the first whole-transcriptome analysis of colonic epithelial cells exposed to the direct effect of prebiotics GOS and FOS. Our RNA-seq based characterization of distinctive or shared differentially expressed genes and enriched pathways generated for GOS and FOS would support further network analyses and enable the examination of intricate biological functions within more complex environments.
2020-02-15 | GSE145303 | GEO
Project description:In this dataset, we include the expression data obtained from gastric cancer tissues and gastric normal tissues to determine the differentially expressed genes in gastric cancer tissues.
2014-11-08 | GSE63089 | GEO
Project description:In this dataset, we include the expression data obtained from gastric cancer tissues and gastric normal tissues to determine the differentially expressed genes in gastric cancer tissues
2014-04-16 | GSE56807 | GEO