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MetabolomicsDIAMetAlyzer allows automated false-discovery rate-controlled analysis for data-independent acquisition in metabolomics
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
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
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
MetabolomicsDIATAGeR: Triacylglycerol Annotation of Data-Independent Acquisition based Lipidomics

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
MetabolomicsA novel strategy for mining and identification of acylcarnitines using data-independent-acquisition (DIA) based retention time prediction modeling and pseudo-characteristic fragmentation ions matching
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
MetabolomicsCustomized Consensus Spectral Library Building for Untargeted Quantitative Metabolomics Analysis with Data Independent Acquisition Mass Spectrometry and MetaboDIA Workflow
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
MetabolomicsDeep Characterisation of the sn-Isomer Lipidome Using High-Throughput Data-Independent Acquisition and Ozone-Induced Dissociation

We report a workflow that enables untargeted characterization of hundreds of sn-resolved glycerophospholipid isomers from biological extracts in less than 20 min. It reveals that sn-isomer populations are tightly regulated and significantly different between cell lines and enables identification ...

2023-12-29 | MTBLS8628 | MetaboLights
MetabolomicsEvaluation of significant features discovered from different data acquisition modes in mass spectrometry-based untargeted metabolomics

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
MetabolomicsCorrelation-based Deconvolution (CorrDec) to generate high-quality MS2 spectra from data-independent acquisition in multi-sample studies (Urine assay)

Data-independent acquisition mass spectrometry (DIA-MS) is essential for information-rich spectral annotations in untargeted metabolomics. However, the acquired MS2 spectra are highly complex, posing significant annotation challenges. We have developed a correlation-based deconvolution (CorrDec) ...

2020-07-13 | MTBLS816 | 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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