Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1287598 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Integrated multi-omics analysis
| PRJNA1069651 | ENA
Project description:Integrated Multi-Omics Analysis Reveals Glucose Metabolic Reprogramming and Identifies a Novel Hexokinase in Alcoholic Hepatitis
| PRJNA597328 | ENA
Project description:Integrated multi-omics analysis of liver metabolic dysregulation in ACE2 knockout mice
| PRJNA1251660 | ENA
Project description:Background: Vascular cognitive impairment and dementia (VCID) represents a spectrum of cognitive disorders linked to cerebrovascular pathology, yet its molecular underpinnings remain misunderstood. Methods: We conducted a multi-omics analysis of post-mortem brain tissue from the superior parietal lobe (Brodmann area 7) in 19 individuals with neuropathologically confirmed VCID and 21 age-matched controls. Whole genome sequencing, genome-wide DNA methylation profiling, transcriptomic analysis, and metabolomics profiling were performed to identify molecular signatures and integrated pathways involved in VCID pathogenesis. Results: Epigenome-wide association analysis revealed widespread hypermethylation in VCID, with significant enrichment of genes involved in the Rac/Rho GTPase cycle and cytoskeletal remodeling. Transcriptomic analysis confirmed dysregulation of small GTPase signaling, oxidative stress responses, and lipid metabolism. Metabolomic profiling identified altered levels of diacylglycerols (DAGs) and phosphatidylethanolamines (PEs), which showed strengthened associations with Rac/Rho pathway genes in VCID compared to controls. Conclusions: Our integrative multi-omics study identifies the Rac/Rho GTPase cycle as a convergent pathway disrupted at the genomic, epigenomic, transcriptomic, and metabolic levels in VCID. Lipid metabolism, particularly involving DAGs and PEs, emerged as a key downstream effector contributing to VCID. These findings offer mechanistic insights into VCID pathogenesis and suggest lipid signaling pathways as promising therapeutic targets for intervention.
2025-07-28 | GSE303449 | GEO
Project description:Multi-omics integrated analysis of cucumber recombination
| PRJNA936557 | ENA
Project description:This study reveals the molecular mechanisms of liver metabolic dysregulation in ACE2 knockout (ACE2KO) mice through multi-omics analysis. ACE2 deficiency exacerbates lipid accumulation, disrupts RAS balance, and induces hepatocyte injury and inflammation. Integrated multi-omics analysis identified numerous differentially expressed genes, proteins, and metabolites, highlighting the PPAR signaling pathway as a central regulatory hub. ACE2 deletion also impairs detoxification and antioxidant balance, creating a self-reinforcing oxidative injury cycle. These findings provide new insights into the mechanisms and therapeutic targets of ACE2-related liver diseases.
2025-06-22 | GSE294830 | GEO
Project description:This study aimed to identify a biomarker predicting response to ustekinumab therapy. Therefore, we used transcriptomic data (colonic and ileal tissue, CD4 T-cell and CD14 monocytes), which we integrated through Multi-Omics Factor Analysis.
2023-10-31 | E-MTAB-7799 | biostudies-arrayexpress
Project description:Here we describe our unprecedented approach in proposing parsley (PAR) as a nutraceutical intervention in inflammatory bowel disease (IBD) using a mouse model of dextran sodium sulphate (DSS)-induced colitis, following a multi-integrated-omics analysis. PAR supplementation (n=7) significantly improved colon shortening and increased the disease activity index compared to the DSS group (n=7). The colonic transcriptome revealed the down-regulation of inflammatory cytokines, and the hepatic transcriptome and metabolome revealed the up-regulation of fatty acid synthesis genes, thereby improving body weight loss. Down-regulated cancer markers were observed in the hepatic transcriptome and proteome. A global plasma metabolite analysis indicated shifts in the citric cycle and urea cycle, implicating improved impaired glycolysis and oxidative stress. Our integration of three omics analyses highlighted the involvement of the methionine-recycling pathway and PARM-bM-^@M-^Ys role in decreasing the risk of IBD. This pioneering use of multi-integrated-omics in the evaluation of nutrientsM-bM-^@M-^Y effects on physiology is expected to be widely useful and informative, shaping the future of nutritional research. Here we describe our unprecedented approach in proposing parsley (PAR) as a nutraceutical intervention in inflammatory bowel disease (IBD) using a mouse model of dextran sodium sulphate (DSS)-induced colitis, following a multi-integrated-omics analysis. PAR supplementation (n=7) significantly improved colon shortening and increased the disease activity index compared to the DSS group (n=7). The colonic transcriptome revealed the down-regulation of inflammatory cytokines, and the hepatic transcriptome and metabolome revealed the up-regulation of fatty acid synthesis genes, thereby improving body weight loss. Down-regulated cancer markers were observed in the hepatic transcriptome and proteome. A global plasma metabolite analysis indicated shifts in the citric cycle and urea cycle, implicating improved impaired glycolysis and oxidative stress. Our integration of three omics analyses highlighted the involvement of the methionine-recycling pathway and PARM-bM-^@M-^Ys role in decreasing the risk of IBD. This pioneering use of multi-integrated-omics in the evaluation of nutrientsM-bM-^@M-^Y effects on physiology is expected to be widely useful and informative, shaping the future of nutritional research. Total hepatic and colonic RNA from each respective group were pooled (n=7). The microarray analysis was carried as out as described by Jia et al. 8 Mouse Genome 430 2.0 Array GeneChips (Affymetrix, Santa Clara, CA) containing over 30,000 gene probe sets were used for genome-wide expression profiling.
2014-01-24 | E-GEOD-54349 | biostudies-arrayexpress
Project description:Integrated multi-omics analysis of RB-loss identifies widespread cellular programming and synthetic weaknesses.
| PRJNA589550 | ENA