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Label free quantification (LFQ) and isobaric labelling quantification (ILQ) are among the most popular protein quantification workflows in discovery proteomics. Here, we compared the TMT 10-plex workflow to label free single shot data-independent acquisition (DIA) method on a controlled sample set. ...
ORGANISM(S): Mus Musculus (ncbitaxon:10090) 
2020-01-29 | MSV000084859 | MassIVE
Label free quantification (LFQ) and isobaric labelling quantification (ILQ) are among the most popular protein quantification workflows in discovery proteomics. Here, we compared the TMT 10-plex workflow to label free single shot data-independent acquisition (DIA) method on a controlled sample set. ...
ORGANISM(S): Mus musculus (Mouse) 
2019-01-24 | PXD011691 | Pride
We have compared the performance of seven different strategies in the analysis of a mouse model of Fragile X Syndrome, involving the knockout of the fmr1 gene that is the leading cause of autism spectrum disorder. Focusing on the cerebellum, we show that Data-Independent Acquisition (DIA) and the TM...
ORGANISM(S): Mus musculus (Mouse) 
2023-08-21 | PXD039885 | Pride
Limited proteolysis coupled with mass spectrometry (LiP-MS) has emerged as a powerful technique for detecting protein structural changes and drug-protein interactions on a proteome-wide scale. However, there is no consensus on the best quantitative proteomics workflow for analyzing LiP-MS data. In t...
ORGANISM(S): Homo sapiens (Human) 
2025-03-31 | PXD055927 | Pride
Chemoproteomics relies on precise and comprehensive quantification of protein–compound interactions, yet methodological comparisons across mass spectrometry platforms remain scarce. Here, we systematically benchmark tandem mass tag data-dependent acquisition (TMT-DDA) on an Orbitrap against label-fr...
ORGANISM(S): Homo sapiens (Human) 
2026-09-21 | PXD065032 | Pride
In this study, we systematically evaluate sample preparation strategies, data acquisition modes and data-analysis approaches for both labeled and label-free proteomics, with the explicit goal of maximizing throughput and quantitative depth using Orbitrap-based instruments operating below 50Hz scan r...
ORGANISM(S): Homo sapiens (Human) 
2026-03-27 | PXD073468 | Pride
Single cell transcriptomics have revolutionized fundamental understanding of basic biology and disease. Since transcripts often do not correlate with protein expression, it is paramount to complement transcriptomics approaches with proteome analysis at single cell resolution. Despite continuous tech...
ORGANISM(S): Homo sapiens (Human) Saccharomyces cerevisiae (Baker's yeast) 
2021-05-17 | PXD023574 | Pride
In this study, we systematically evaluate sample preparation strategies, data acquisition modes and data-analysis approaches for both labeled and label-free proteomics, with the explicit goal of maximizing throughput and quantitative depth using Orbitrap-based instruments operating below 50Hz scan ...
ORGANISM(S): Homo sapiens (Human) Escherichia coli Staphylococcus aureus 
2026-03-27 | PXD073367 | Pride
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