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This study presents a comprehensive metabolomic profiling of kidney cancer samples using a chemical isotope labeling (CIL) LC–MS platform. The workflow includes systematic sample preparation, isotope labeling targeting specific metabolite functional groups, and high-resolution liquid chromatography–...
2026-10-19 | MTBLS15290 | MetaboLights
The interplay between the Apicomplexan parasite Toxoplasma gondii and its host has been largely studied. However, molecular changes at the metabolic level in the host central nervous system and pathogenesis-associated metabolites during brain infection are largely unexplored. We used a global metabo...
2017-01-27 | MTBLS217 | MetaboLights
Untargeted approaches and thus biological interpretation of metabolomics results are still hampered by the reliable assignment of the global metabolome as well as classification and (putative) identification of metabolites. In this work we present an liquid chromatography-mass spectrometry (LC-MS)-b...
2020-02-09 | MTBLS1217 | MetaboLights

Global-scale surveys of plankton communities using “omics” techniques have revolutionized our understanding of the ocean. Lipidomics has demonstrated the potential to add further essential insights on ocean ecosystem function but has yet to be applied on a global scale. We analyzed 930 lipid samp...

2021-11-08 | MTBLS2838 | MetaboLights
Not available
ORGANISM(S): Homo sapiens 
Not available
ORGANISM(S): Mus musculus 

In recent years, blood microsampling (BμS) technologies have gained popularity, as they offer simplicity, minimal invasiveness, and suitability for remote sample collection. In this study, the aim was to explore the potential of three BμS devices for reliable untargeted lipidomic profiling using ...

2025-09-30 | MTBLS10722 | MetaboLights
Not available
ORGANISM(S): Mus musculus 

Aquatic insects are well-adapted to freshwater environments, but metabolic mechanisms of such adaptations, particularly to primary environmental factors (e.g., hypoxia, water pressure, dark light and abundant microbes), are poorly known. Most firefly species (Coleoptera: Lampyridae) are terrestri...

2022-10-03 | MTBLS4987 | MetaboLights
We report here that a straightforward change of the standard derivatization procedure for GC–MS metabolomics is leading to a strong increase in metabolite signal intensity. Drying samples between methoxymation and trimethylsilylation significantly increased signals by two- to tenfold in extracts of ...
2019-04-05 | MTBLS807 | MetaboLights
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