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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
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
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): Homo sapiens (Human) Escherichia coli 
2014-09-17 | PXD000279 | Pride
Benchmark datasets Label-free quantification Maxlfq Maxquant 
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 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 
Proteomicshuman NSCLC sh-QKI-6 A549 cell label-free quantification and LC/MS proteomics analysis
Label-Free Quantitation of Differentially Expressed Proteins in Sh-QKI6 and sh-NC
ORGANISM(S): Homo sapiens (Human) 
2022-06-09 | PXD027013 | Pride
Human Nsclc Label-free quantification Qki-6 
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): Homo sapiens (Human) Escherichia coli Saccharomyces cerevisiae (Baker's yeast) 
2016-09-27 | PXD002952 | Pride
Lfqbench Lfq Swath-ms Benchmark 
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 
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