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TranscriptomicsMetabolic exhaustion underlies sarcopenic obesity susceptibility in aging mice as revealed by multi-omics factor analysis
Sarcopenic obesity affects up to 40% of older adults with obesity, yet many remain protected despite comparable metabolic burden. The molecular basis for this heterogeneity remains unknown, limiting risk stratification and targeted intervention. We superimposed metabolic challenge on aging physiolog...
ORGANISM(S): Mus musculus 
2026-09-22 | E-MTAB-15944 | biostudies-arrayexpress
UnknownMulti-Omics Factor Analysis-a framework for unsupervised integration of multi-omics data sets.
Not available
S-EPMC6010767 | biostudies-literature
ProteomicsMulti-omics integration reveals convergent extracellular matrix remodeling and lipid metabolic reprogramming as central axes of adipocyte differentiation from mouse embryonic stem cells
Adipose tissue dysfunction is a hallmark of obesity and type 2 diabetes mellitus, yet the full molecular complexity of adipocyte differentiation remains incompletely characterized. Single-omics approaches capture only partial dimensions of this multi-layered biological transition. Here, we applied a...
ORGANISM(S): Mus musculus (Mouse) 
2026-06-08 | PXD078584 | Pride
Adipogenesis  mouse embryonic stem cells  multi-omics integration  extracellular matrix remodeling  lipidomics  mofa+  multi-omics factor analysis 
ProteomicsUnsupervised Multi-Omics Analysis Reveals Diagnostic Opportunities and Unseen Interactions in Equine Pituitary Pars Intermedia Dysfunction
Properly integrating multiple modalities allows for a deeper understanding of complex biological processes. This study presents an unsupervised method of integrating proteomics, lipidomics, and metabolomics to reveal cross-omic trends, often overlooked by traditional analysis methods, in pituitary p...
ORGANISM(S): Equus caballus (Horse) 
2026-08-13 | PXD062230 | Pride
Metabolomics Unsupervised analysis Equus caballus Multi-omics factor analysis (mofa) Lipidomics Equine cushing’s disease Multi-omics Proteomics Pituitary pars intermedia dysfunction Lc-ms/ms 
Methylation profilingUnderstanding the biological processes of clear cell renal carcinoma carcinogenesis: an integrative multi-omics approach.
Multi-Omics analysis to gain novel insights into clear cell renal carcinoma aetiology and progression. The DNA methylation data of 121 clear clear renal carcinoma (ccRCC) were integrated with WGS and transcriptomic data using Multi-Omics Factor Analysis (MOFA) to detect the inter-patient variations ...
ORGANISM(S): Homo sapiens 
2024-06-07 | GSE269180 | GEO
GenomicsUnderstanding the biological processes of clear cell renal carcinoma carcinogenesis: an integrative multi-omics approach.
Understanding the biological processes of clear cell renal carcinoma carcinogenesis: an integrative multi-omics approach.
PRJNA1120468 | ENA
GenomicsMetabolic exhaustion underlies sarcopenic obesity susceptibility in aging mice as revealed by multi-omics factor analysis
Metabolic exhaustion underlies sarcopenic obesity susceptibility in aging mice as revealed by multi-omics factor analysis
PRJEB102067 | ENA
UnknownMOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data.
Not available
S-EPMC7212577 | biostudies-literature
UnknownOxidative gaseous air pollutant exposure interacts with PNPLA3-I148M genotype to influence liver fat fraction and multi-omics profiles in young adults.
Not available
S-EPMC11859754 | biostudies-literature
UnknownConsistency and overfitting of multi-omics methods on experimental data.
Not available
S-EPMC7373174 | biostudies-literature
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