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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
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
ProteomicsEvaluation of phospho-tyrosine antibodies for label-free phosphoproteomics
In the past decade multiple tyrosine kinase inhibitors (TKIs) have been implemented in standard treatment regimens for patients with cancer. Unfortunately the majority of patients develops resistance to these drugs. Reliable tools for analysis of pharmacodynamic effects and drug resistance mechanism...
ORGANISM(S): Homo Sapiens (ncbitaxon:9606) 
2016-10-21 | MSV000080270 | MassIVE
ProteomicsLabel-free quantitative phosphoproteomics with novel pairwise abundance normalization reveals synergistic RAS and CIP2A signaling
Label-free quantification is a powerful method for studying cellular protein phosphorylation dynamics. However, whether current data normalization methods achieve sufficient accuracy has not been examined systematically. Here, we demonstrate that a large uni-directional shift in the phosphopeptide ...
ORGANISM(S): Homo Sapiens (ncbitaxon:9606) 
2017-03-29 | MSV000080775 | MassIVE
OtherFeasibility of label-free phosphoproteomics and application to base-line signaling of colorectal cancer cell lines.
Data from ProteomeXchange, PXD ID: PXD001550. File: QE2_130117_OPL1013_TiOx_CRC_DLD1_3_130125023714.mzml. Published as part of J Proteomics. 2015 Apr 1. pii: S1874-3919(15)00103-7 . From the Abstract: {{i}} Robust phosphopeptide enrichment methods with minimal fractionation are required to profile ...
ORGANISM(S): Homo_sapiens_viruses, Human 
GPM32320014765 | GPMDB
Resource Reanalysis 
ProteomicsNew label free methods for protein relative quantification applied to the investigation of animal model of Huntington Disease.
Spectral Counts approaches (SpCs) are largely employed for the comparison of protein expression profiles in label free differential proteomics applications. Similarly, to other comparative methods, also SpCs based approaches require a normalization procedure before Fold Changes (FC) calculation. Her...
ORGANISM(S): Mus musculus (Mouse) 
2020-08-18 | PXD017471 | Pride
Label free methods  spectral counts normalization  complexity-based correction factor  huntington disease mice models 
OtherMS1-Based Label-Free Proteomics Using a Quadrupole Orbitrap Mass Spectrometer.
Data from ProteomeXchange, PXD ID: PXD001385. File: QEP1_SpikeIn_230914_3_3ng_270914.mzml. Published as part of J Proteome Res. 2015 Mar 24 . From the Abstract: {{i}} Presented is a data set for benchmarking MS1-based label-free quantitative proteomics using a quadrupole orbitrap mass spectrometer....
ORGANISM(S): Homo_sapiens_viruses, Human_female, Escherichia_coli_k_12_substr__mg1655 
GPM32320014338 | GPMDB
Resource Reanalysis 
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