Sort   by:  
 Page size 
MetabolomicsMatrix Effect on Chemical Isotope Labeling and Its Implication in Metabolomic Sample Preparation for Quantitative Metabolomics
Matrix effect from various constituents in biological samples can reduce the accuracy of quantitative metabolomics. Differential chemical isotope labeling liquid chromatography mass spectrometry (CIL LC-MS) can overcome the matrix effect on MS detection based on measuring the intensity ratios of met...
2015-07-01 | MTBLS194 | MetaboLights
MetabolomicsHigh-Precision Automated Workflow for Urinary Untargeted Metabolomic Epidemiology
Urine is a non-invasive biofluid that is rich in polar metabolites and well-suited for metabolomic epidemiology. However, due to individual variability in health and hydration status, the physiological concentration of urine can differ >15-fold, which can pose major challenges in untargeted LC-MS me...
2021-06-10 | MTBLS2295 | MetaboLights
MetabolomicsAssessment of automated trimethylsilyl derivatisation protocols for GC-MS-based untargeted metabolomic analysis of urine
GC-MS is a commonly used metabolomic platform for the analysis of urine. A key step in the preparation of samples for GC-MS is derivatisation, in particular, methoximation and trimethylsilylation. This paper presents an assessment of automated derivatisation protocols for GC-MS-based untargeted meta...
2015-09-28 | MTBLS171 | MetaboLights
MetabolomicsAROMA-GC: Green Automated Plasma Metabolome Profiling

Metabolomics enables the comprehensive profiling of low–molecular weight metabolites that reflect the interplay between environmental exposures and endogenous biological processes. As the downstream output of genomic, transcriptomic, proteomic, and epigenomic networks, the metabolome provides the...

2026-08-24 | MTBLS13319 | MetaboLights
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
MetabolomicsAutomated Label-free Quantification of Metabolites from Liquid Chromatography–Mass Spectrometry Data (Plasma)

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 | MTBLS234 | MetaboLights
ProteomicsModular bottom-up proteomic sample preparation for high-throughput applications
A collection of digital automated proteomic sample preparation protocols detail three optimized step-by-step methods to: (A) lyse Gram-negative bacteria and fungal cells; (B) quantify the amount of protein extracted; and (C) normalize the amount of protein and set up tryptic digestion. These protoco...
ORGANISM(S): Rhodotorula toruloides Pseudomonas putida 
2022-02-14 | PXD029122 | Pride
High-throughput Proteomic sample preparation Automation 
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
MetabolomicsPrediction and evaluation of the effect of pre-centrifugation sample management on the measurable untargeted LC-MS plasma metabolome

Optimal handling is the most important means to ensure adequate sample quality. We aimed to investigate whether pre-centrifugation delay time and temperature could be accurately predicted and to what extent variability induced by pre-centrifugation management can be adjusted for. We used untarget...

2021-10-13 | MTBLS2259 | MetaboLights
ProteomicsUrine-HILIC – An automated sample preparation for bottom-up urinary proteome profiling in clinical proteomics
Urine provides a diverse source of information related to health status and is ideal for clinical proteomics because of its ease of collection. To date, there is no standard operating procedure for reproducible and robust urine sample processing for mass spectrometry-based clinical proteomics. To ad...
ORGANISM(S): Homo sapiens (Human) 
2024-01-26 | PXD043925 | Pride
Automated sample preparation  clinical proteomics  swath-ms (dia)  urinary proteomics  hilic 
Sort   by:  
 Page size