Journal Article

DZNE-2025-00967

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Privacy-preserving multicenter differential protein abundance analysis with FedProt.

Burankova, Y. ; Abele, M. ; Bakhtiari, M. ; von Toerne, C. ; Barth, T. K. ; Schweizer, L. ; Giesbertz, P.DZNE* ; Schmidt, J. R. ; Kalkhof, S. ; Müller-Deile, J. ; van Veelen, P. A. ; Mohammed, Y. ; Hammer, E. ; Arend, L. ; Adamowicz, K. ; Laske, T. ; Hartebrodt, A. ; Frisch, T. ; Meng, C. ; Matschinske, J. ; Späth, J. ; Röttger, R. ; Schwämmle, V. ; Hauck, S. M. ; Lichtenthaler, S. F.DZNE* ; Imhof, A. ; Mann, M. ; Ludwig, C. ; Kuster, B. ; Baumbach, J. ; Zolotareva, O.Extern*

2025
Nature Research London

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Please use a persistent id in citations: doi:10.1038/s43588-025-00832-7

Abstract: Quantitative mass spectrometry has revolutionized proteomics by enabling simultaneous quantification of thousands of proteins. Pooling patient-derived data from multiple institutions enhances statistical power but raises serious privacy concerns. Here we introduce FedProt, the first privacy-preserving tool for collaborative differential protein abundance analysis of distributed data, which utilizes federated learning and additive secret sharing. In the absence of a multicenter patient-derived dataset for evaluation, we created two: one at five centers from E. coli experiments and one at three centers from human serum. Evaluations using these datasets confirm that FedProt achieves accuracy equivalent to the DEqMS method applied to pooled data, with completely negligible absolute differences no greater than 4 × 10-12. By contrast, -log10P computed by the most accurate meta-analysis methods diverged from the centralized analysis results by up to 25-26.

Keyword(s): Humans (MeSH) ; Proteomics: methods (MeSH) ; Mass Spectrometry (MeSH) ; Escherichia coli: metabolism (MeSH) ; Privacy (MeSH) ; Algorithms (MeSH)

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Contributing Institute(s):

1. Neuroproteomics (AG Lichtenthaler)

Research Program(s):

1. 352 - Disease Mechanisms (POF4-352) (POF4-352)

Appears in the scientific report 2025

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Database coverage:
; ; ; Clarivate Analytics Master Journal List ; DEAL Nature ; Emerging Sources Citation Index ; IF >= 10 ; JCR ; SCOPUS ; Web of Science Core Collection

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