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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
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
MetabolomicsMass spectrometry based metabolomics for in vitro systems pharmacology: Pitfalls, challenges, and computational solutions

INTRODUCTION: Mass spectrometry based metabolomics has become a promising complement and alternative to transcriptomics and proteomics in many fields including in vitro systems pharmacology. Despite several merits, metabolomics based on liquid chromatography mass spectrometry (LC...

2017-08-23 | MTBLS401 | MetaboLights
MetabolomicsA combined direct infusion/reversed phase chromatography – high resolution mass spectrometry workflow for accurate absolute lipid quantification with 13C- internal standards
We propose a fully automated novel workflow for lipidomics based on flow injection, followed by liquid chromatography-high-resolution mass spectrometry (FI/LC-HRMS). The workflow combined in-depth characterization of the lipidome achieved via reversed-phase LC-HRMS with absolute quantification by us...
2021-07-01 | MTBLS1876 | MetaboLights
ProteomicsLFQbench enables a multi-centered benchmark study demonstrating robust proteomic label-free quantification
The consistent and accurate quantification of proteins is a challenging task for mass spectrometry (MS)-based proteomics. SWATH-MS uses data-independent acquisition (DIA) for label-free quantification. Here we evaluated five software tools for processing SWATH-MS data: OpenSWATH, SWATH2.0, Skyline, ...
ORGANISM(S): Escherichia Coli (ncbitaxon:562) Homo Sapiens (ncbitaxon:9606) Saccharomyces Cerevisiae (ncbitaxon:4932) 
2017-04-27 | MSV000081024 | MassIVE
UnknownA label-free mass spectrometry method for the quantification of protein isotypes.
Not available
S-EPMC3711517 | biostudies-literature
ProteomicsSurfactant-assisted one-pot sample preparation for label-free single-cell proteomics
Large numbers of cells are generally required for quantitative global proteome profiling due to the significant surface adsorption losses associated with sample processing. Such bulk measurement obscures important cell-to-cell variability (cell heterogeneity) and makes proteomic profiling impossible...
ORGANISM(S): Homo Sapiens 
2021-03-11 | PXD022827 | panorama
ProteomicsLabel free quantitative mass spectrometry identifies platelet degranulation as an early event during platelet storage
Shelf life of platelet concentrates (PCs) is limited to up to 7 days due to loss of platelet functionality during storage, commonly referred to as the platelet storage lesion (PSL). To get more insight into the development of the PSL, we used label free quantitative mass spectrometry to identify cha...
ORGANISM(S): Homo sapiens (Human) 
2017-09-11 | PXD005610 | Pride
Proteomics Label free quantification Alpha-granules Platelet storage Platelets 
UnknownAnalysis of cell surface proteome changes via label-free, quantitative mass spectrometry.
Not available
S-EPMC2667347 | biostudies-literature
UnknownOn the Reproducibility of Label-Free Quantitative Cross-Linking/Mass Spectrometry.
Not available
S-EPMC5814520 | biostudies-literature
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