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Plasma untargeted metabolomics is a common method for evaluation of the mechanisms underlying human pathologies and identification of novel biomarkers. The plasma proteins provide the environment for transport of hydrophobic metabolites. The current sample preparation protocol relies on the immediat...
2022-03-18 | MTBLS670 | MetaboLights

While analytical techniques in natural products research massively shifted to liquid chromatography-mass spectrometry, lichen chemistry remains reliant on limited analytical methods, Thin Layer Chromatography being the gold standard. To meet the modern standards of metabolomics within lichenochem...

2019-07-22 | MTBLS999 | MetaboLights
Despite the attractiveness of breath analysis as a non-invasive means to retrieve relevant metabolic information, its introduction into routine clinical practice remains a challenge. Among all the different analytical techniques available to interrogate exhaled breath, secondary electrospray ionizat...
2020-01-11 | MTBLS842 | MetaboLights

The history of lichen compound identification has long relied on techniques such as spot tests and TLC, which have been surpassed in sensitivity and accuracy by modern metabolomic techniques such as high-resolution MS/MS. In 2019, Olivier-Jimenez et al. released the Lichen DataBase (LDB), a libra...

2024-10-09 | MTBLS8109 | MetaboLights
The metabolome changes of Campylobacter jejuni with resistant gene ermB remain unclear. Here, we described an untargeted metabolomic workflow based on ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry to investigate the metabolites perturbations mediated by erm...
2018-08-07 | MTBLS496 | MetaboLights
We propose a fully automated novel workflow for lipidomics based on flow injection, followed by liquid chromatography-high-resolution mass spectrometry (FI/LC-HRMS). The workflow combined in-depth characterization of the lipidome achieved via reversed-phase LC-HRMS with absolute quantification by us...
2021-07-01 | MTBLS1876 | MetaboLights
High-intensity physical activity has major impacts in different parts of the body. However, the regulatory coordination between different tissues to support the high physical demands is poorly understood. Here we performed a multi-omics analysis of blood plasma, urine and saliva from a group of fire...
2025-07-03 | MTBLS1891 | MetaboLights
High-coverage TAC-seq expression
Whole-genome DNA libraries were prepared from a population of just under 100 Col/Ler F1 backcrossed to Col. Low-coverage whole-genome sequencing was used to map meiotic crossovers in this population following the protocol described in Rowan et al., 2015, doi: 10.1534/g3.114.016501.
ORGANISM(S): Arabidopsis thaliana 
High coverage genome of the Tyrolean Iceman reveals unusually high Anatolian Farmer ancestry
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