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MetabolomicsTroubleshooting in Large-Scale LC-ToF-MS Metabolomics Analysis: Solving Complex Issues in Big Cohorts
Metabolomics, understood as the science that manages the study of compounds from the metabolism, is an essential tool for deciphering metabolic changes in disease. The experiments rely on the use of high-throughput analytical techniques such as liquid chromatography coupled to mass spectrometry (LC-...
2019-12-12 | MTBLS1133 | MetaboLights
MetabolomicsData processing, multi-omic pathway mapping, and metabolite activity analysis using XCMS Online

Systems biology is the study of complex living organisms, and as such, analysis on a systems-wide scale involves the collection of information-dense data sets that are representative of an entire phenotype. To uncover dynamic biological mechanisms, bioinformatics tools have become essential to fa...

2017-11-23 | MTBLS572 | MetaboLights
MetabolomicsAutomated Label-free Quantification of Metabolites from Liquid Chromatography–Mass Spectrometry Data (Simulated)

Liquid chromatography coupled to mass spectrometry (LC-MS) has become a standard technology in metabolomics. In particular, label-free quantification based on LC-MS is easily amenable to large-scale studies and thus well suited to clinical metabolomics. Large-scale studies, however, require autom...

2015-12-16 | MTBLS235 | 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
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
MetabolomicsUsing network analysis to discern compositional patterns in ultrahigh resolution mass spectrometry data of dissolved organic matter

RATIONALE: Marine dissolved organic matter (DOM) has long been recognized as a large and dynamic component of the global carbon cycle. Yet, DOM is chemically varied and complex and these attributes present challenges to researchers interested in addressing questions about the rol...

2016-10-31 | MTBLS366 | MetaboLights
MetabolomicsDirect infusion mass spectrometry metabolomics dataset: a benchmark for data processing and quality control
Direct-infusion mass spectrometry (DIMS) metabolomics is an important approach for characterising molecular responses of organisms to disease, drugs and the environment. Increasingly large-scale metabolomics studies are being conducted, necessitating improvements in both bioanalytical and computatio...
2022-05-16 | MTBLS79 | MetaboLights
MetabolomicsImproving the Screening Analysis of Pesticide Metabolites in Human Biomonitoring by Combining High-Throughput In Vitro Incubation and Automated LC-HRMS Data Processing
There is a current need to monitor human exposure to a large number of pesticides and other chemicals of emerging concern (CECs). This requires screening analysis with high confidence for these compounds and their metabolites in complex matrices, which is hampered by the fact that no reference stand...
2022-01-17 | MTBLS2402 | MetaboLights
MetabolomicsA data integration multi-omics approach to study calorie restriction-induced changes in insulin sensitivity
The mechanisms responsible for weight loss-induced improvement in insulin sensitivity are partially understood. Greater insight can now be achieved through deep phenotyping and data integration. Here, we used an integrative approach to investigate associations between changes in insulin sensitivity ...
2021-02-11 | MTBLS653 | MetaboLights
GenomicsNHLBI Big Data Analysis Heart Failure Challenge Data Collection
NHLBI Big Data Analysis Heart Failure Challenge Data Collection
PRJNA610994 | ENA
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