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MetabolomicsDynamic single-cell metabolomics reveals cell-cell interaction between tumor cells and macrophages

Single-cell metabolomics reveals cell heterogeneity and elucidates intracellular molecular mechanisms. However, general concentration measurement of metabolites can only provide a static delineation of metabolomics, lacking the metabolic activity information of biological pathways. Herein, we dev...

2025-04-14 | MTBLS11091 | MetaboLights
MetabolomicsIn-depth organic mass cytometry reveals differential contents of 3-hydroxybutanoic acid at the single-cell level
Comprehensive single-cell metabolic profiling is critical for revealing phenotypic heterogeneity and elucidating the molecular mechanisms underlying biological processes. However, single-cell metabolomics remains challenging because of the limited metabolite coverage and inability to discriminate is...
2026-08-14 | MTBLS8113 | 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
MetabolomicsSingle-cell metabolic fingerprints discover a cluster of circulating tumor cells with distinct metastatic potential

Circulating tumor cells (CTCs) are recognized as direct seeds of metastasis. However, CTC count may not be the 'best' indicator of metastatic risk because their heterogeneity is generally neglected. In this study, we develop a molecular typing system to predict colorectal cancer metastasis potent...

2023-08-21 | MTBLS5028 | MetaboLights
MetabolomicsIntegrative of Single-Cell RNA Sequencing and Metabolomics Decipher the Imbalanced Lipid-Metabolism in Maladaptive Immune Responses during Sepsis
To identify differentially expressed lipid metabolism-related genes (DE-LMRGs) responsible for immune dysfunction in sepsis. Machine learning algorithms were applied for screening hubgenes related to lipid metabolism. CIBERSORT and Single-sample GSEA were employed for assessing the immune cell infil...
2024-09-26 | MTBLS7315 | MetaboLights
MetabolomicsBridging Targeted (Zeno MRM-HR) and Untargeted (SWATH) LC–HRMS in a Single Run for Sensitive Exposomics

Traditionally, chemical exposure has been assessed by low-resolution mass spectrometry via targeted approaches due to the typically extremely low concentration of such compounds in biological samples. Nevertheless, untargeted approaches are now becoming a promising tool for a broader investigatio...

2025-08-28 | MTBLS10565 | MetaboLights
MetabolomicsSingle-Cell and Spatial Multi-Omics Reveal Mechanical Stress Driving Heterogeneous Xylem Development in Populus [Spatial metabolomics_LCM]
Xylem, the predominant tissue for structural support, forms tension wood with G-layer-rich fibers under mechanical stress. Despite being recognized over a century ago, three key biological questions remained unclear: (1) Are fibers in normal and tension wood distinct cells due to morphological diffe...
2025-06-16 | MTBLS12561 | MetaboLights
MetabolomicsMetabolomic profiles in short day, before bolting, single leaf analysis, Arabidopsis thaliana
Metabolomic profiles in short or long day, before and after bolting, single leaf analysis, Arabidopsis thaliana
2015-09-14 | MTBLS13 | MetaboLights
MetabolomicsMetabolomic profiles in long day, before bolting, single leaf analysis, Arabidopsis thaliana
Metabolomic profiles in short or long day, before and after bolting, single leaf analysis, Arabidopsis thaliana
2015-09-14 | MTBLS11 | MetaboLights
MetabolomicsMetabolomic profiles in short day, after bolting, single leaf analysis, Arabidopsis thaliana
Metabolomic profiles in short or long day, before and after bolting, single leaf analysis, Arabidopsis thaliana
2015-09-14 | MTBLS12 | MetaboLights
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