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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
UnknownLabel-Free Quantification from Direct Infusion Shotgun Proteome Analysis (DISPA-LFQ) with CsoDIAq Software.
Not available
S-EPMC9850400 | biostudies-literature
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
ProteomicsRobust collection and processing for label-free single voxel proteomics
With advanced mass spectrometry (MS)-based proteomics, genome-scale proteome coverage can be achieved from bulk tissues. However, such bulk measurement lacks spatial resolution and obscures important tissue heterogeneity, which make it impossible for proteome mapping of tissue microenvironment. Here...
ORGANISM(S): Homo Sapiens (human) 
2024-11-01 | PXD045043 | JPOST Repository
ProteomicsReproducibility of label-free single-shot phosphoproteomics applied to CRC cell lines
There is a need for robust phosphopeptide enrichment methods to allow signaling network analysis in cancer cell lines and tissues with minimal fractionation. With recent instrument developments thousands of unique phosphopeptides can be detected by single-shot LC-MS/MS. However, successful phosphopr...
ORGANISM(S): Homo Sapiens (ncbitaxon:9606) 
2017-03-28 | MSV000080715 | MassIVE
ProteomicsLabel-free Quantification of Host-Cell Protein Impurity in a Recombinant Hemoglobin Reference Material
Quantitative analysis depends on pure-substance primary calibrators with known mass fractions of impurity. The datasets included were generated using mass spectrometry for the evaluation of label-free quantification (LFQ) as a method for determining the mass fraction of host-cell proteins (HCPs) in...
ORGANISM(S): Homo sapiens (Human) Escherichia coli Saccharomyces cerevisiae (Baker's yeast) 
2023-05-09 | PXD041736 | Pride
Protein reference materials Dda-pasef Label-free quantification Host-cell proteins 
ProteomicsComparison of LFQ and IPTL for protein identification and relative quantification
Mass spectrometry-based quantitative proteome profiling is most commonly performed by label-free quantification (LFQ), stable isotopic labeling with amino acids in cell culture (SILAC), and reporter-ion based isobaric labeling methods (TMT and iTRAQ). Isobaric peptide termini labeling (IPTL) was des...
ORGANISM(S): Homo sapiens (Human) 
2022-02-17 | PXD026942 | Pride
Tmt Silac Lfq Quantitative proteomics Iptl 
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
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 
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