Data files

Quantitative mass spectrometry has transformed proteomics by allowing the simultaneous quantification of thousands of proteins. To boost statistical power, it is necessary to increase sample sizes by combining patient-derived data from various institutions. However, this practice raises significant privacy concerns. We created this dataset comtaining 30 healthy donors and 30 patients suffering from focal segmental glomerulosclerosis - a rare kidney disease - and distributed them to three independent ...

Quantitative mass spectrometry has transformed proteomics by allowing the simultaneous quantification of thousands of proteins. To boost statistical power, it is necessary to increase sample sizes by combining patient-derived data from various institutions. However, this practice raises significant privacy concerns. We created a DIA-LFQ dataset containing 118 samples generated from Escherichia coli MG1655 (DSM 18039) cultures and distributed them to five independent proteomics centers. This ...