Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1293733 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Eospalax fontanierii baileyi(plateau zokor) Transcriptome
| PRJNA603638 | ENA
Project description:high-altitude adaptation of plateau zokor v2 (PRJCA002438)
| PRJDB22209 | ENA
Project description:Study on intestinal microbes of plateau zokor (PRJCA046519)
| PRJDB39462 | ENA
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 | GSE229900 | GEO
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
Project description:The Comparison of Gut Microbiome and Common Antibiotic Resistance Genes between Plateau Pika and Plateau Zokor
| PRJEB39107 | ENA
Project description:Intervention type:DRUG. Intervention1:Huaier, Dose form:GRANULES, Route of administration:ORAL, intended dose regimen:20 to 60/day by either bulk or split for 3 months to extended term if necessary. Control intervention1:None.
Primary outcome(s): For mRNA libraries, focus on mRNA studies. Data analysis includes sequencing data processing and basic sequencing data quality control, prediction of new transcripts, differential expression analysis of genes. Gene Ontology (GO) and the KEGG pathway database are used for annotation and enrichment analysis of up-regulated genes and down-regulated genes.
For small RNA libraries, data analysis includes sequencing data process and sequencing data process QC, small RNA distribution across the genome, rRNA, tRNA, alignment with snRNA and snoRNA, construction of known miRNA expression pattern, prediction New miRNA and Study of their secondary structure Based on the expression pattern of miRNA, we perform not only GO / KEGG annotation and enrichment, but also different expression analysis.. Timepoint:RNA sequencing of 240 blood samples of 80 cases and its analysis, scheduled from June 30, 2022..
| 2612481 | ecrin-mdr-crc
Project description:Liver cirrhosis is one of the leading causes of decreased life expectancy worldwide. However, the molecular mechanisms underlying the development of liver cirrhosis remain unclear. In this study, we performed a comprehensive analysis using transcriptome and metabolome sequencing to explore the genes, pathways, and interactions associated with liver cirrhosis. We performed transcriptome and metabolome sequencing of blood samples from patients with cirrhosis and healthy controls (1:1 matched for sex and age). For transcriptome analysis, we screened for differentially expressed miRNAs and mRNAs, analyzed mRNAs to identify possible core genes and pathways, and performed co-analysis of miRNA and mRNA sequencing results. And we validated differentially expressed microRNA (miRNA) and mRNAs using real-time quantitative polymerase chain reaction. In terms of the metabolome, we screened five pathways that were substantially enriched in the differential metabolites. Next, we identified the metabolites with the most pronounced differences among these five metabolic pathways. We performed receiver operating characteristic curve analysis of these five metabolites to determine their diagnostic efficacy for cirrhosis. Finally, we explored possible links between the transcriptome and metabolome. Using a systems biology framework, We identified miRNAs and mRNAs that were differentially expressed in the blood of cirrhotic patients and healthy controls. And explored associated pathways as well as disease-specific networks. Additionally, We identified possible common pathways in the transcriptome and metabolome that can reveal coherent changes in cirrhosis from the transcriptional level to the metabolic level, which can be further studied from multiple perspectives.
2024-08-07 | MTBLS5665 | MetaboLights