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Integrative taxonomy is a fundamental part of biodiversity and combines traditional morphology with additional methods such as DNA sequencing or biochemistry. Here, we aim to establish untargeted metabolomics for use in chemotaxonomy. We used three thallose liverwort species Riccia glauca

2026-01-30 | MTBLS4668 | MetaboLights

Thoroughbred (TB) racehorses are subjected to rigorous conditioning programs involving exercise sessions of various types, distances and intensities. These programs aim to optimize both their physical and mental capabilities, which are essential to achieve maximal performance. Conventional invest...

2024-01-16 | MTBLS8285 | MetaboLights
In Eco-Metabolomics, non-model organisms are typically studied in their natural environment and relations are made between biochemistry and ecological function. Current challenges when processing such data involve, among others, complex ecological experiment designs, peak detection parameter setting...
2018-06-18 | MTBLS520 | MetaboLights

In plant ecology, biochemical analyses of bryophytes and vascular plants are often conducted on dried herbarium specimen as species typically grow in distant and inaccessible locations. Here, we present an automated in silico compound classification framework to annotate metabolites using an unta...

2026-01-30 | MTBLS851 | MetaboLights
Our aim was to identify Regenerating islet-derived (REG proteins in dogs. We annotated REG-family members in the canine genome and proteome, and identified one member of the REG3 subfamily, consequently termed REG3E by the Vertebrate Gene Nomenclature Committee. We verified REG3E gene expression usi...
ORGANISM(S): Canis familiaris (Dog) (Canis lupus familiaris) 
2022-10-17 | PXD035694 | Pride

The central aim in ecometabolomics and chemical ecology is to pinpoint chemical features that explain molecular functioning. The greatest challenge is the identification of compounds due to the lack of constitutive reference spectra, the large number of completely unknown compounds, and bioinform...

2019-12-31 | MTBLS709 | MetaboLights
we aimed at developing a urinary biomarker-based algorithm that predicts rapid disease progression in IgAN, thus enabling a personalized risk stratification.
ORGANISM(S): Homo sapiens (Human) 
2022-02-15 | PXD020288 | Pride
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