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MetabolomicsImproving global feature detectabilities through scan range splitting for untargeted metabolomics by high-performance liquid chromatography-Orbitrap mass spectrometry
Untargeted metabolomics aims at obtaining quantitative information on the highest possible number of low-molecular biomolecules present in a biological sample. Rather small changes in mass spectrometric spectrum acquisition parameters may have a significant influence on the detectabilities of metabo...
2016-06-09 | MTBLS233 | MetaboLights
MetabolomicsComparison of Full-Scan, Data-Dependent, and Data-Independent Acquisition Modes in Liquid Chromatography-Mass Spectrometry Based Untargeted Metabolomics
Full-scan, data-dependent acquisition (DDA), and data-independent acquisition (DIA) are the three common data acquisition modes in high resolution mass spectrometry-based untargeted metabolomics. It is an important yet underrated research topic on which acquisition mode is more suitable for a given ...
2020-05-21 | MTBLS1572 | MetaboLights
MetabolomicsDNA nanomachines reveal an adaptive energy mode in confinement-induced amoeboid migration powered by polarized mitochondrial distribution

Energy metabolism is highly interdependent with adaptive cell migration in vivo. Mechanical confinement is a critical physical cue that induces switchable migration modes of the mesenchymal-to-amoeboid transition (MAT). However, the energy states in distinct migration modes, especially a...

2024-03-25 | MTBLS9657 | MetaboLights
MetabolomicsUmbilical cord blood metabolome differs in relation to delivery mode, birth order and sex, maternal diet and possibly future allergy development in rural children
Allergy is one of the most common diseases among young children yet all factors that affect development of allergy remain unclear. In a small cohort of 65 children living in the same rural area of south-west Sweden, we have previously found that maternal factors, including prenatal diet, affect chil...
2020-12-18 | MTBLS2017 | MetaboLights
MetabolomicsWT 2.0: Unveiling the “dark matter” in the metabolome using all-ion stepwise fragmentation acquisition mode (ASFAM) and deep learning-based feature extraction

Current metabolomics methods often miss low-abundance compounds and yield incomplete or ambiguous MS2 spectra, resulting in the presence of “dark matter” within the metabolome. Here, we introduce WT 2.0, which employs an all-ion stepwise fragmentation acquisition mode (ASFAM) to acquire comprehe...

2025-09-23 | MTBLS13023 | MetaboLights
MetabolomicsMetabolic reaction network-based recursive metabolite annotation for untargeted metabolomics (Aging mouse liver negative mode)

Large-scale metabolite annotation is a challenge in liquid chromatogram-mass spectrometry (LC-MS)-based untargeted metabolomics. Here, we develop a metabolic reaction network (MRN)-based recursive algorithm (MetDNA) that expands metabolite annotations without the need for a comprehensive standard...

2019-03-26 | MTBLS606 | MetaboLights
MetabolomicsMetabolic reaction network-based recursive metabolite annotation for untargeted metabolomics (Aging fruit fly positive mode)

Large-scale metabolite annotation is a challenge in liquid chromatogram-mass spectrometry (LC-MS)-based untargeted metabolomics. Here, we develop a metabolic reaction network (MRN)-based recursive algorithm (MetDNA) that expands metabolite annotations without the need for a comprehensive standard...

2019-03-22 | MTBLS612 | MetaboLights
MetabolomicsMetabolic reaction network-based recursive metabolite annotation for untargeted metabolomics (Aging mouse liver positive mode)

Large-scale metabolite annotation is a challenge in liquid chromatogram-mass spectrometry (LC-MS)-based untargeted metabolomics. Here, we develop a metabolic reaction network (MRN)-based recursive algorithm (MetDNA) that expands metabolite annotations without the need for a comprehensive standard...

2019-03-26 | MTBLS601 | MetaboLights
MetabolomicsMetabolic reaction network-based recursive metabolite annotation for untargeted metabolomics (Aging fruit fly negative mode)

Large-scale metabolite annotation is a challenge in liquid chromatogram-mass spectrometry (LC-MS)-based untargeted metabolomics. Here, we develop a metabolic reaction network (MRN)-based recursive algorithm (MetDNA) that expands metabolite annotations without the need for a comprehensive standard...

2019-03-26 | MTBLS615 | MetaboLights
MetabolomicsHigh-performance nano-flow liquid chromatography column combined with high- and low-collision energy data-independent acquisition enables targeted and discovery identification of modified ribonucleotides by mass spectrometry (Mixed-mode column chromatography)

Over 170 post-transcriptional RNA modifications have been described and are common in all kingdoms of life. These modifications range from methylation to complex chemical structures, with methylation being the most abundant. RNA modifications play a key role in RNA folding and function and their ...

2023-10-26 | MTBLS2497 | MetaboLights
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