Project description: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 profiles resulted in the identification of proteins specifically expressed in the Th17 and iTreg cells. Importantly, our combined analysis of proteome and gene expression data revealed protein expression changes that were not associated with changes at the transcriptional level.
Project description:This dataset includes raw label-free mass spectrometry proteomics data of different sinonasal tumor entities as well as normal sinonasal tissue. 72 samples were processed on a Q Exactive HF-X instrument coupled to an easy nanoLC 1200 system using one microgram of peptides and an 110 minutes gradient.
Project description:This dataset supports evaluation of library-free DIA workflows for limited proteolysis mass spectrometry (LiP-MS) using a treatment-control experiment. It evaluates DIA-NN and Spectronaut and introduces DIA-LiPA, a pipeline for structural interpretation from semi-tryptic peptides and missing data, enhancing sensitivity and reproducibility in LiP-MS analysis.