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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
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
ProteomicsMaxLFQ label-free quantification algorithm benchmark datasets
We developed a set of algorithms for label-free quantification, termed MaxLFQ, embedded into MaxQuant. This contains two datasets to benchmark MaxLFQ: The proteome benchmark dataset consists of of HeLa and E. coli lysates mixed at defined ratios. The dynamic range benchmark dataset consists of UPS1...
ORGANISM(S): Escherichia Coli (ncbitaxon:562) Homo Sapiens (ncbitaxon:9606) 
2017-12-19 | MSV000081831 | MassIVE
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
ProteomicsCombining label-free and label-based accurate quantifications with SWATH-MS: comparison with SRM and PRM for the evaluation of bovine muscle type effects.
Mass spectrometry has proven to be a valuable tool for the accurate quantification of proteins. In this study, we have evaluated the performances of three targeted approaches, namely Selected Reaction Monitoring (SRM), Parallel Reaction Monitoring (PRM) and Sequential Windowed Acquisition of Theoret...
ORGANISM(S): Bos Taurus 
2021-06-08 | PXD020680 | panorama
ProteomicsLabel-Free Absolute Protein Quantification with Data-Independent Acquisition
Label-free absolute quantitative proteomics is commonly used for absolute quantification of the proteome or specific proteins of interest in various biological samples. Current label-free absolute protein quantification (APQ) methods determine MS1 intensities, MS2 spectral counts or intensities to a...
ORGANISM(S): Homo sapiens (Human) 
2019-03-20 | PXD010912 | Pride
Human Dia S9 Absolute protein quantification Microsome Liver Dda 
ProteomicsLabel-free quantification of busulfan-treated testis
The busulfan-treated mouse model showed abnormal testis morphology and reduced sperm number and testis weight. Testicular and sperm damage was most severe at 30 days after busulfan treatment. The protein level of MGAT1 was increased in busulfan-treated mouse testis. The busulfan-treated mouse testes...
ORGANISM(S): Mus musculus (Mouse) 
2025-05-06 | PXD035492 | Pride
Testis Busulfan Label-free quantification Spermatogenesis 
ProteomicsLabel-free quantification in ion-mobility enhanced data-independent acquisition proteomics
Data-dependent acquisition (DDA) methods are a well-established tool for proteome analysis and have greatly expedited the field of shotgun proteomics. However, their serial and stochastic nature restricts their reproducibility and limits the detectable dynamic range to the peptides that ionize best....
ORGANISM(S): Homo sapiens (Human) Saccharomyces cerevisiae (strain Lalvin EC1118 / Prise de mousse) (Baker's yeast) Escherichia coli 
2016-03-29 | PXD002393 | Pride
Proteomics Mass spectrometry Label-free quantification Ion mobility separation Data-independent acquisition 
ProteomicsComparative analysis of label-free and 8-plex iTRAQ approach for quantitative tissue proteomic analysis
MS-based approaches have been successfully utilized for the comprehensive characterization of the cell proteome. However, in the case of quantitative proteomics the open question still remains, which quantification method is more suitable for identification of proteins with the altered abundance, pa...
ORGANISM(S): Homo sapiens (Human) 
2015-09-09 | PXD002170 | Pride
Lc-ms/ms Bladder cancer Tissue proteomics Label-free Itraq 
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