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It is a challenging work to screen, identify, and quantify acylcarnitines in complex biological samples. A method, based on the retention time (RT) prediction and data-independent acquisition strategies, was proposed for the large-scale identification of acylcarnitines using liquid chromatography co...
2021-10-06 | MTBLS1932 | MetaboLights
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

Here we present LipidCreator, a software that fully supports targeted lipidomics assay development. LipidCreator offers a comprehensive framework to compute MS/MS fragment masses for over 60 lipid classes. LipidCreator provides all functionalities needed to define fragments, manage stable isotope...

2020-04-15 | MTBLS1382 | MetaboLights

We have developed MetaboKit, a comprehensive software package for compound identification and relative quantification in mass spectrometry-based untargeted metabolomics analysis. In data dependent acquisition (DDA) analysis, MetaboKit constructs a customized spectral library with compound identit...

2021-11-05 | MTBLS1311 | MetaboLights

We have developed MetaboKit, a comprehensive software package for compound identification and relative quantification in mass spectrometry-based untargeted metabolomics analysis. In data dependent acquisition (DDA) analysis, MetaboKit constructs a customized spectral library with compound identit...

2021-11-02 | MTBLS1266 | MetaboLights
Serum samples were collected from healthy controls and asthma patients classified into lung qi deficiency and phlegm turbidity obstructing lung syndromes. DIA LC-MS was performed to acquire proteomic data, differential proteins and related molecular pathways were analyzed to explore serum molecular ...
2026-09-02 | MTBLS14938 | MetaboLights
The extraction of meaningful biological knowledge from high-throughput mass spectrometry data relies on limiting false discoveries to a manageable amount. For targeted approaches in metabolomics a main challenge is the detection of false positive metabolic features in the low signal-to-noise ranges ...
2022-09-05 | MTBLS1108 | MetaboLights

Triacylglycerols (TGs) are the most abundant lipids in the human body and the primary source of energy storage. Altered TGs are implicated in metabolic syndrome and detailed structural information may provide novel insights into diseases pathology. TGs are comprised of three fatty acyls with vari...

2025-03-04 | MTBLS11927 | MetaboLights
Data independent acquisition-mass spectrometry (DIA-MS) coupled with liquid chromatography is a promising approach for rapid, automatic sampling of MS/MS data in untargeted metabolomics. However, wide isolation windows in DIA-MS generate MS/MS spectra containing a mixed population of fragment ions t...
2018-03-26 | MTBLS417 | MetaboLights

Despite the growing popularity of liquid chromatography-mass spectrometry (LC-MS)-based metabolomics, no study has yet to systematically compare the performance of different data acquisition modes in the discovery of significantly altered metabolic features, which is an important task of untarget...

2020-10-02 | MTBLS1842 | MetaboLights
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