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We developed a simple method that combined biochemical mitochondria isolation and pulse SILAC approach to monitor the mitochondrial translation. Our approach allows us to quantify 12 out of the 13 mitochondrial translation products, the highest coverage among analogous methods reported, and provide ...
ORGANISM(S): Homo Sapiens (human) 
Comparative proteomic profiling of 3T3-L1 adipocyte differentiation using SILAC quantification
ORGANISM(S): Mus musculus (Mouse) 
2020-10-26 | PXD019716 | Pride
Comprehensive mass spectrometry (MS)-based proteomics is now feasible, but reproducible and multiplexed quantification remains challenging especially for analysis of post-translational modifications (PTMs), such as phosphorylation. Here we compared the most popular quantification techniques for phos...
ORGANISM(S): Homo sapiens (Human) Saccharomyces cerevisiae (Baker's yeast) 
2018-03-13 | PXD007145 | Pride
Quantitative proteomic platforms based on precursor intensity in mass spectrometry (MS1-level) uniquely support in vivo metabolic labeling with superior quantification accuracy but suffers from limited multiplexity (≤3-plex) and frequent missing quantities. Herein, we present a maximally-multiplexed...
ORGANISM(S): Homo sapiens (Human) 
2020-03-19 | PXD009952 | Pride
Unbiased proteomic analysis of plasma samples holds the promise to reveal clinically invaluable disease biomarkers. However the tremendous dynamic range of the plasma proteome has so far hampered the identification of such low abundant markers. To overcome this challenge we analyzed the plasma micro...
ORGANISM(S): Homo sapiens (Human) 
2015-01-28 | PXD001194 | Pride
Data Independent Acquisition (DIA) is increasingly preferred over Data Dependent Acquisition (DDA) due to its higher throughput and fewer missing values. Whereas DDA often utilizes stable isotope labeling to improve quantification, DIA mostly relies on label-free approaches. Efforts to integrate DIA...
ORGANISM(S): Homo sapiens (Human) Escherichia coli 
2024-10-14 | PXD052080 | Pride
SILAC-based metabolic labeling is a widely adopted proteomics approach that enables quantitative comparisons among a variety of experimental conditions. Despite its quantitative capacity, SILAC experiments analyzed with data dependent acquisition (DDA) do not fully leverage peptide pair information ...
ORGANISM(S): Saccharomyces cerevisiae (Baker's yeast) 
2022-11-03 | PXD033016 | Pride
Stable isotope labeling of peptides is the basis for numerous mass spectrometry-based quantification strategies. Isobaric tagging and metabolic labeling, namely TMT and SILAC, are among the most widely used techniques for relative protein quantification. Here we report an alternative, precursor-base...
ORGANISM(S): Homo sapiens (Human) 
2019-09-16 | PXD014545 | Pride
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