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MetabolomicsRIOK1 Phase Separation Shapes Stress Adaptation and Cell Fate in Hepatocellular Carcinoma

Cancer cells can always be unexpected rescued from desperate environment by mounting adaptive responses to resolve the arising cellular stress. The dynamic stress granules (SGs) assembly and metabolic reprogramming play crucial roles in maintaining cellular growth and homeostasis. However, the me...

2025-02-26 | MTBLS11963 | MetaboLights
MetabolomicsPROMIS, global analysis of PROtein-Metabolite Interactions using Size separation in Arabidopsis thaliana
Small molecules not only represent cellular building blocks and metabolic intermediates, but also regulatory ligands and signaling molecules that interact with proteins. Although these interactions affect cellular metabolism, growth, and development, they have been largely understudied. Herein, we d...
2018-07-19 | MTBLS94 | MetaboLights
MetabolomicsMetabolomics profiling of pre-and post-anesthesia plasma samples obtained via Ficoll separation
1H Nuclear Magnetic Resonance (NMR) spectroscopy was used to investigate the metabolic consequences of general anesthesia in the plasma of two groups of patients with diagnosis for non-metastatic colorectal cancer and metastatic colorectal cancer with liver-metastasis, respectively. Patients were tr...
2015-11-17 | MTBLS172 | MetaboLights
MetabolomicsDivalent Aptamer-mediated Clustering for Extracellular Vesicle Separation
Extracellular vesicles (EVs) are important mediators of intercellular communication and promising sources of diagnostic and therapeutic biomarkers, yet effective EV isolation remains challenging due to trade-offs among yield, purity, and adaptability across biofluids. Here, we introduce divalent apt...
2026-05-04 | MTBLS14425 | MetaboLights
MetabolomicsSingle-cell thiol profiling enabled by live-cell labeling reveals metabolic heterogeneity in ferroptosis

Raw data of both bulk and single-cell metabolomics. It includes all MS, LC-MS and LC-MS/MS raw data associated with the article 'Single-cell thiol profiling enabled by live-cell labeling reveals metabolic heterogeneity in ferroptosis'.

2026-02-14 | MTBLS13900 | MetaboLights
MetabolomicsMetabolic Footprinting of a Clear Cell Renal Cell Carcinoma in vitro Model for Human Kidney Cancer Detection
A protocol for harvesting and extracting extracellular metabolites from an in vitro model of human renal cell lines was developed to profile the exometabolome by means of a discovery-based metabolomics approach using ultraperformance liquid chromatography coupled to quadrupole-time-of-flight mass sp...
2018-11-14 | MTBLS737 | MetaboLights
MetabolomicsSingle-cell time-resolved multi-omics reveal apoptotic and ferroptotic heterogeneity during foam cell formation

Macrophage-derived foam cell plays a pivotal role in the plaque formation and rupture during the progression of atherosclerosis. Foam cells are destined to divergent cell fate and functions in response to external stimuli based on their internal states, which however is hidden in the traditional ...

2023-09-08 | MTBLS6366 | MetaboLights
MetabolomicsPostoperative Metabolic Phenoreversion in Clear Cell Renal Cell Carcinoma

The ultimate goal of surgical treatment in cancer is to remove the tumor mass for restoring a healthy state. A 16-lipid panel that discriminated healthy controls from clear cell renal cell carcinoma (ccRCC) patients in a prior study was evaluated in the present work in paired-serum samples collec...

2023-01-02 | MTBLS3838 | MetaboLights
MetabolomicsTargeted metabolomic profiling of FH-deficient clear cell renal cell carcinoma cells
This study investigated metabolic alterations associated with fumarate hydratase (FH) deficiency in clear cell renal cell carcinoma (ccRCC). Targeted metabolomic analysis was performed in 786-O and RCC4 cells with or without FH knockdown, using three biological replicates per condition. Intracellula...
2026-10-16 | MTBLS15359 | MetaboLights
MetabolomicsNormalization strategies for lipidome data in cell line panels & Distinct lipidomic profiles in breast cancer cell lines relate to proliferation and EMT phenotypes

Sample collection can significantly affect measurements of relative lipid concentrations in cell line panels, hiding intrinsic biological properties of interest between cell lines. Most quality control steps in lipidomic data analysis focus on controlling technical variation. Correcting for the t...

2025-08-07 | MTBLS9493 | MetaboLights
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