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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
TranscriptomicsQuantitative proteomic characterization and comparison of T helper 17 and iTreg cells
Using mass spectrometry-based label-free quantitative (LFQ) proteomics analysis of in vitro differentiated murine Th17 and induced T regulatory (iTreg) cells. More than 4000 proteins covering almost all subcellular compartments were detected. Quantitative comparison of the protein expression profile...
ORGANISM(S): Mus musculus 
2018-05-31 | GSE104152 | GEO
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. 
ProteomicsIntegrated analysis of label-free quantitative proteomics and bioinformatics reveal insights into signaling pathways in male breast cancer
The project contains raw and result files from a proteomic profiling of a male breast cancer (MBC) case. Label-free quantification-mass spectrometry (LFQ-MS) and bioinformatics analysis were employed to investigate the differentially expressed proteins (DEPs) among distinct tissue samples: the prima...
ORGANISM(S): Homo sapiens (Human) 
2021-09-08 | PXD012453 | Pride
Proteomics Signaling pathways Label-free mass spectrometry Bioinformatics analysis Male breast cancer 
ProteomicsLabel-free quantitative (LFQ) proteomic analysis of redox mediated posttranslational modifications (PTM) in the cartilage from young and old osteoarthritis (OA) mice with or without the senolytic treatment
Senolytic drugs are designed to selectively clear senescent cells (SnCs) that accumulate with injury or aging. In a mouse model of osteoarthritis (OA), senolysis yields a pro-regenerative response. However, recent research studies showed that the therapeutic benefit is reduced in aged mice. Increase...
ORGANISM(S): Mus musculus (Mouse) 
2023-09-26 | PXD031782 | Pride
Mouse model of osteoarthritis (oa)  senolytic treatment  label-free quantitative (lfq) proteomic  analysis of redox ptms in the cartilage proteins 
ProteomicsLabel-free LC-MS/MS analysis of silky fowl egg yolk
The proteomic profiles of silky fowl egg yolk (SFEY) and Leghorn egg yolk (LEY) were analysed by bottom-up label-free liquid chromatography tandem-mass spectrometry (LC-MS/MS), aiming to provide a theoretical basis for understanding the proteomic and biological differences between the two yolks and ...
ORGANISM(S): Gallus gallus (Chicken) 
2022-05-20 | PXD032674 | Pride
Label-free proteomic analysis Silky fowl (black-bone chicken) Egg yolk 
ProteomicsLabel-free quantitative proteomics of gastric high-grade intraepithelial neoplasia
Purpose: Early detection and diagnosis are the keys to improving the survival rate and reducing the fatality rate linked to gastric cancer. The precancerous lesion of gastric cancer is referred to as Gastric high-grade intraepithelial neoplasia (HGIN). Both sensitivity and specificity of current bio...
ORGANISM(S): Homo sapiens (Human) 
2025-06-02 | PXD036991 | Pride
Gastric cancer  gastric high-grade intraepithelial neoplasia  proteomics  label-free 
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 
GenomicsQuantitative proteomic characterization and comparison of T helper 17 and iTreg cells
Quantitative proteomic characterization and comparison of T helper 17 and iTreg cells
PRJNA411825 | ENA
UnknownProteomic profiles of Lissachatina (Heterobranchia) and Pomacea (Caenogastropoda) snails infected with Angiostrongylus cantonensis using 4D label-free quantitative analysis.
Not available
S-EPMC12685165 | biostudies-literature
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