Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: GSE62037E-GEOD-62029
PROVIDER: PRJNA263005 | ENA |
REPOSITORIES: ENA
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2020-11-27 | E-GEOD-62029 | ExpressionAtlas
Project description:Integrated ordination of miRNA and mRNA expression profiles [miRNA]
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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..
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Project description:Integrated mRNA and miRNA profiles expression of liver between Jinhua and Landrace pigs
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Project description:Emerging evidence suggests that microRNAs (miRNAs) are crucially involved in tumorigenesis and that paired expression profiles of miRNAs and mRNAs can be used to identify functional miRNA-target relationships with high precision.However, no studies have applied integrated analysis to miRNA and mRNA profiles in chordomas. The purpose of this study was to provide insights into the pathogenesis of chordomas by using this integrated analysis method
2014-03-29 | GSE56183 | GEO
Project description:The present NGST, TMT and Q-TOF MS platform should provide unprecedented resources to address such questions as to how hypoxic condition affects gene, miRNA, protein, and metabolite expression and changes the molecular pathways, and whether miRNAs participate in this process. For this purpose, we characterise transcriptomic, miRNAomic, proteomic and metabonomic sequencing of control- and hypoxia-treated P. vachelli muscles to elucidate the molecular mechanisms of hypoxia adaptation. We were able to find the predicted miRNA-mRNA-protein-metabolite regulatory network using bioinformatics analysis and miRNA prediction algorithms (Fig. 1). This is the first report on integrated analysis of transcriptome, miRNAome, and proteome, and metabolome in fishes and as such offers deeper insight into the hypoxia molecular mechanisms. We provide a good case study with which to analyse mRNA, miRNA, protein and metabolite expression and profile non-model fish species.
2020-07-18 | PXD020425 |