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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 (Data-independent acquisition)

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 | MTBLS2959 | 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
MetabolomicsA Python-based pipeline for preprocessing LC-MS data for untargeted metabolomics workflows
Preprocessing data in a reproducible and robust way is one of the current challenges in untargeted metabolomics workflows. Data curation in liquid chromatography-mass spectrometry (LC-MS) involves the removal of unwanted features (retention time; m/z pairs) to retain only high-quality data for subse...
2020-11-21 | MTBLS1919 | MetaboLights
MetabolomicsFlow cytometry has a significant impact on the cellular metabolome (General LC-MS assay)
The characterization of specialized cell subpopulations in a heterogeneous tissue is essential for understanding organ function in health and disease. A popular method of cell isolation is fluorescence-activated cell sorting (FACS) based on probes that bind surface or intracellular markers. In this ...
2018-11-06 | MTBLS629 | MetaboLights
MetabolomicsFlow cytometry has a significant impact on the cellular metabolome (Lipidomic LC-MS assay)
The characterization of specialized cell subpopulations in a heterogeneous tissue is essential for understanding organ function in health and disease. A popular method of cell isolation is fluorescence-activated cell sorting (FACS) based on probes that bind surface or intracellular markers. In this ...
2018-11-06 | MTBLS631 | MetaboLights
MetabolomicsUntargeted LC-MS metabolomics for the analysis of micro-scaled extracellular metabolites from hepatocytes
Metabolome analysis in micro physiological models is a challenge due to the low volume of cell culture medium (CCM). Here, we report a LC-MS-based untargeted metabolomics protocol for the detection of hepatocyte extracellular metabolites from micro-scale samples of CCM. Using a single LC-MS method w...
2021-01-04 | MTBLS1794 | MetaboLights
MetabolomicsStreamlining LC-MS/MS Data Analysis in R with Open-Source *xcms* and *RforMassSpectrometry*: An End-to-End Workflow

Despite untargeted LC-MS/MS data being a powerful approach for large-scale metabolomics analysis, a significant challenge in the field lies in the reproducible and efficient analysis of such data, in particular. The power of R-based analysis workflows lies in their high customizability and adapta...

2024-08-26 | MTBLS8735 | MetaboLights
MetabolomicsMetabolic cooperation and spatiotemporal niche partitioning in a kefir microbial community; Interaction between the kefir isolates Lactococcus lactis and Acetobacter (spent-medium assay, measured untargeted (FIA-qTOF) and targeted (HILIC, LC-MS)

Microbial communities often undergo intricate compositional changes yet also maintain stable coexistence of diverse species. The mechanisms underlying long-term coexistence remain unclear, as system-wide studies have been largely limited to engineered communities, ex situ adapted cultures, or syn...

2020-11-04 | MTBLS1823 | MetaboLights
MetabolomicsComprehensive lipid analysis of green Arabica coffee beans by LC-HRMS/MS
Lipids play an important role in coffee bean development, coffee brew and in the effects of coffee on human health. They account for around 17% of the dry bean weight and encompass different classes and subclasses, mostly triacylglycerols (TAG) and a minor quantity of phospholipids (PL) and βN-alkan...
2021-11-19 | MTBLS1972 | MetaboLights
MetabolomicsUntargeted LC-MS metabolomics of redclaw crayfish gonads
Untargeted LC-MS metabolomics was performed on 20 Cherax quadricarinatus gonad samples in four groups n=5 each plus three pooled QC samples. Positive- and negative-ion mzXML files were generated using a Thermo Scientific Orbitrap Exploris 120. The submitted files contain centroided full-scan MS1 dat...
2026-09-04 | MTBLS15185 | MetaboLights
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