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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
MetabolomicsIntegrated proteome and lipidome analyses place OCIAD1 at mitochondria-peroxisome intersection balancing lipid metabolism

OCIAD1 (Ovarian Cancer Immunoreactive Antigen Domain Containing 1) is a membrane protein largely localized to mitochondria, however, its function in health or disease is not well understood. To comprehensively characterize the molecular changes upon lack of OCIAD1, we used mass spectrometry to st...

2025-04-25 | MTBLS12329 | 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
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
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
ProteomicsA label-free shotgun proteomics analysis of macadamia nut
In this study, we present a first proteomic overview of macadamia nut using a label-free shotgun proteomic approach and prediction of their proteins with potential allergenic activity and cross-reactivity via an in silico analysis. The defense response proteins were the most abundant group of protei...
ORGANISM(S): Macadamia 
2020-01-13 | PXD015364 | Pride
Macadamia nut  label-free shotgun proteomics  in silico analysis  allergenicity  cross-reactivity 
ProteomicsLabel-free quantitative proteome analysis reveals the underlying mechanisms of grain nuclear proteins involved in wheat water-deficit response
In this study, we performed the first large-scale nuclear proteome analysis of wheat developing grains under water deficit by label-free based quantitative proteomic approach.
ORGANISM(S): Triticum aestivum (Wheat) 
2022-02-16 | PXD021315 | Pride
Water deficit Nuclear proteome Developing grains Wheat Label-free quantitation. 
UnknownFacile One-Pot Nanoproteomics for Label-Free Proteome Profiling of 50-1000 Mammalian Cells.
Not available
S-EPMC8945255 | biostudies-literature
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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