Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Exploration of lncRNA/circRNA-miRNA-mRNA networks in patients with chronic atrophic gastritis in plateau areas [miRNA]

ABSTRACT: Higher incidence of chronic atrophic gastritis (CAG) is generally considered a precancerous lesion of gastric cancer (GC). Therefore, the early diagnosis and treatment of CAG, especially in Tibetan Plateau areas, play an important role in the prevention of GC. The atrophic and non-atrophic gastric mucosal tissue samples from 7 patients with chronic gastritis (CG) and cancer tissue samples from 3 patients with GC were collected. High-throughput sequencing was performed to identify the differentially expressed in lncRNAs, circRNAs, miRNAs, and mRNAs, followed by the construction of competitive endogenous RNA (ceRNA) regulatory networks (lncRNA/circRNA-miRNA-mRNA network) in CAG. Those differentially expressed mRNAs with the same expression trend in both CAG and GC were further identified. Two datasets (GSE153224 and GSE163416), involving data in non-Tibetan Plateau areas, were used to further screen out plateau-specific mRNAs in CAG, followed by identification of the plateau-specific and ferroptosis related mRNAs. GO and KEGG enrichment analysis were performed to investigate the biological functions of plateau-specific mRNAs in CAG. This study may provide useful information for identifying potential biomarkers for the diagnosis of CAG.

ORGANISM(S): Homo sapiens

PROVIDER: GSE229900 | GEO | 2024/05/10

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Exploration of lncRNA/circRNA-miRNA-mRNA networks in patients with chronic atrophic gastritis in plateau areas [lncRNA]

Project description:Higher incidence of chronic atrophic gastritis (CAG) is generally considered a precancerous lesion of gastric cancer (GC). Therefore, the early diagnosis and treatment of CAG, especially in Tibetan Plateau areas, play an important role in the prevention of GC. The atrophic and non-atrophic gastric mucosal tissue samples from 7 patients with chronic gastritis (CG) and cancer tissue samples from 3 patients with GC were collected. High-throughput sequencing was performed to identify the differentially expressed in lncRNAs, circRNAs, miRNAs, and mRNAs, followed by the construction of competitive endogenous RNA (ceRNA) regulatory networks (lncRNA/circRNA-miRNA-mRNA network) in CAG. Those differentially expressed mRNAs with the same expression trend in both CAG and GC were further identified. Two datasets (GSE153224 and GSE163416), involving data in non-Tibetan Plateau areas, were used to further screen out plateau-specific mRNAs in CAG, followed by identification of the plateau-specific and ferroptosis related mRNAs. GO and KEGG enrichment analysis were performed to investigate the biological functions of plateau-specific mRNAs in CAG. This study may provide useful information for identifying potential biomarkers for the diagnosis of CAG.

2024-05-10 | GSE229899 | GEO

The miRNA expression profile in the progression of the gastric cancer

Project description:miRNA expression profiles in the progression of the gastric cancer According to the development of intestinal gastric cancer(GC), the normal gastric mucosa gradually evolves into gastric cancer through CSG(Chronic superficial gastritis), CAG(Chronic atrophic gastritis), IM (intestinal metaplasia) and Dys(Dysplasia). H. pylori is the main risk factor for GC, but the mechanism is still unclear. In this study, we indentified the miRNA, lncRNAs and mRNAs expression profiles in GC progression, analyzed the fuctions and pathways and investigated the relationship between non coding RNAs and H. pylori infection. Our study provided new ideas for the study of the pathogenesis of GC and a basis for the early diagnosis and treatment of GC and precancerous lesions.

2023-12-17 | GSE163747 | GEO

High-Throughput Sequencing Analysis of Differential MicroRNA Expression in the Process of Blocking the Progression of Chronic Atrophic Gastritis to Gastric Cancer by Xianglianhuazhuo Formula

Project description:To investigate the potential mechanism of action of Xianglianhuazhuo formula (XLHZ) in blocking the progression of chronic atrophic gastritis (CAG) to gastric cancer (GC) . The microRNA (miRNA) expression profiles of gastric mucosal tissues were analyzed by high-throughput sequencing.

2024-11-01 | GSE217844 | GEO

Dissecting the single-cell transcriptome network underlying gastric premalignant lesions and early gastric cancer [10x genomics]

Project description:Intestinal-type gastric cancer is preceded by premalignant lesions including chronic atrophic gastritis and intestinal metaplasia. In this study, we performed a scRNA-seq survey of 56,440 cells from thirteen gastric antral mucosa biopsies from nine patients with Non-atrophic gastritis (NAG), CAG, IM or early gastric cancer (EGC), and constructed a single-cell transcriptome atlas for gastric premalignant and early-malignant lesions. The thirteen biopsies, including three wild superficial gastritis (NAG) ones, three CAG ones, six IM ones and one EGC , spanned the cascade from gastritis to early gastric cancer.For each biopsy, we isolated single cells without prior selection for cell types and utilized the 10x Chromium platform to generate RNA-seq data. After removing low-quality cells (Methods), a total of 32, 332 cells that passed the quality control were retained for subsequent analysis, which yielded a median of 1941 detected genes per cell.

2019-07-20 | GSE134520 | GEO

Expression data from biopsies with chronic atrophic gastritis and gastric cancer

Project description:Gastric cancer is an important health problem because it is difficult to diagnose and treat in advanced stage. This makes that the prognosis of gastric cancer patients remains scarce. Currently it is known that the cause of gastric cancer is attributed to chronic infection with Helicobacter pylori. Its persistent infection leads to development of chronic atrophic gastritis that is considered as a predecessor stage of intestinal-type gastric cancer. The understanding of the alteration of molecular mechanisms during the early stages of the development of gastric cancer, and the identification of their potential biomarkers can allow a rapid diagnosis that leads to an improvement diagnosis and increase the patient’s prognosis. We analyzed gene expression profiles of patients with chronic atrophic gastritis and gastric cancer through microarray analysis, functional enrichment analysis and validation of gene expression by quantitative PCR. Gene expression profiles in patients with chronic atrophic gastritis showed molecular changes of the gastric mucosa, which leads to intestinal metaplasia and subsequently, gastric cancer. In gastric cancer the gene expression profile showed the stage of tumor progression, the product of these genes are potential biomarkers of early stages of cancer that can be potential therapeutic targets. Accordingly, the transcriptome analysis revealed several gene groups are related to development of chronic atrophic gastritis, some of which were inhibited in gastric cancer patients. The increased expression of CLDN1, CLDN7, OLFM4, c-Myc and MMP-9 genes in chronic atrophic gastritis and gastric cancer point outs to their use as promising biomarkers for the early diagnosis of gastric cancer.

2019-12-18 | GSE116312 | GEO

Remodeling of the gastric environment in Helicobacter pylori-induced atrophic gastritis

Project description:Helicobacter pylori colonization of the human stomach is a strong risk factor for gastric cancer. To investigate H. pylori-induced gastric molecular alterations, we used a Mongolian gerbil model of gastric carcinogenesis. Histologic evaluation revealed varying levels of atrophic gastritis (a premalignant condition characterized by parietal and chief cell loss) in H. pylori-infected animals, and transcriptional profiling revealed a loss of markers for these cell types. We then assessed the spatial distribution and relative abundance of proteins in the gastric tissues using imaging mass spectrometry and liquid chromatography with tandem mass spectrometry (LC-MS/MS). We detected striking differences in protein content of corpus and antrum tissues. 492 proteins were preferentially localized to the corpus in uninfected animals. The abundance of 91 of these proteins was reduced in H. pylori-infected corpus tissues exhibiting atrophic gastritis compared to infected corpus tissues with non-atrophic gastritis or uninfected corpus tissues; these included numerous proteins with metabolic functions. Fifty proteins localized to the corpus in uninfected animals were diffusely delocalized throughout the stomach in infected tissues with atrophic gastritis; these included numerous proteins with roles in protein processing. Corresponding alterations were not detected in animals infected with a H. pylori ∆cagT mutant (lacking Cag type IV secretion system activity). These results indicate that H. pylori can cause loss of proteins normally localized to the gastric corpus as well as diffuse delocalization of corpus-specific proteins, resulting in marked changes in the normal gastric molecular partitioning into distinct corpus and antrum regions.

2023-12-04 | PXD046333 | Pride

Transcriptome analysis of lncRNA–mRNA interactions in chronic atrophic gastritis

Project description:The aims of this study are to identify prognosis-related differentially expressed lncRNAs and mRNAs in chronic atrophic gastritis (CAG). By analysis of high-throughput whole-transcriptome sequencing data, levels of lncRNAs and mRNAs between CAG and chronic nonatrophic gastritis (CNAG) were compared pairwisely. Finally, 97,282 lncRNA transcripts and 20,307 mRNA transcripts were acquired, including 50 upregulated and 66 downregulated lncRNAs and 377 upregulated and 763 downregulated mRNAs in CAG were identified (P< 0.05, fold change ≥2). Moreover, the interactions of the differentially expressed genes in CAG were investigated by gene ontology (GO) enrichment analysis, showing that the enriched genes are involved in many biological processes, such as MAP kinase activity, heat generation, and protein modification processes. Through the construction of co-expression networks of the differentially expressed genes in CAG, three critical lncRNAs nodes were identified as potential key factors in CAG. Eight mRNAs common in both the co-expression network and the protein-protein interaction (PPI) network were selected via Venn analysis, including DGKA, EIF6, HKDC1, DHRS11, CPS1, KRT15, TESPA1, and CDHR2.Finally, the expression levels of five differentially expressed lncRNAs in CAG were confirmed by quantitative real-time polymerase chain reaction (qRT-PCR). In conclusion, this study presents novel promising biomarkers for the diagnosis of CAG.

2021-02-02 | GSE153224 | GEO

DNA methylation profiling of gastric cancer and precursor lesions

Project description:Genome-scale DNA methylation profiling using the Infinium DNA methylation 450K BeadChip platform and samples from gastric cancer (intestinal and diffuse), precursor lesions (multifocal chronic atrophic gastritis and inestina metaplasia), non-atrophic gastritis and normal gastric mucosa.

2021-03-04 | GSE127857 | GEO

Response of gastric epithelial progenitors to H. pylori isolates from Swedish patients with chronic atrophic gastritis

Project description:This SuperSeries is composed of the following subset Series: GSE16390: Response of gastric epithelial progenitors to H. pylori isolates from Swedish patients with chronic atrophic gastritis 1 GSE16439: Response of gastric epithelial progenitors to H. pylori isolates from Swedish patients with chronic atrophic gastritis 2 Refer to individual Series

2009-10-26 | E-GEOD-16440 | biostudies-arrayexpress

A robust qualitative transcriptional signature for the early diagnosis of gastric cancer

Project description:Pathological examination of gastroscopy biopsy specimens will make false diagnosis for gastric cancer (GC) due to inaccurate sampling locations and/or insufficient sampling amount. We extracted a robust qualitative transcriptional signature, based on the within-sample relative expression orderings (REOs) of gene pairs, to discriminate both GC tissues and adjacent-normal tissues from non-GC gastritis and normal gastric tissues.The qualitative transcriptional signature can be robustly applied at the individual level to aid the diagnosis of early GC.

2018-07-10 | GSE116782 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data