Maximilian Vieler: Decoding the ubiquitin system: charting and characterizing motif-based interactions of E3 ligases

Datum
4 juni 2026, kl. 13.15
Plats
Biomedicinskt centrum (BMC) A1:111a, Husargatan 3, 752 37 Uppsala
Typ
Disputation
Respondent
Maximilian Vieler
Opponent
Magnus Kjærgaard
Handledare
Ylva Ivarsson
Publikation
https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-583655

Abstract

E3 ligases are central players in protein homeostasis, deciding which proteins are degraded by conjugating ubiquitin onto their target proteins. Beyond degradation, ubiquitination regulates a myriad of further cellular signaling pathways. E3 ligases have developed different strategies to identify their ligands, one of which is the recognition of an autonomous interaction-mediating compact binding sites called Short Linear Motif (SLiMs). SLiMs are typically 3-10-residue stretches embedded in intrinsically disordered regions, and commonly serve as binding interfaces. SLiMs which lead to ubiquitination and proteasomal degradation upon binding to their target E3 ligases are called a degrons. SLiM-based protein-protein interactions typically rely on 3-4 conserved key residues, with less-conserved flanking regions tuning binding affinity and specificity. Elucidating the substrate determinants of the ca. 900 E3 ligases has been one of the central challenges of the E3 ligase field.

This thesis presents the investigation of the SLiM-binding of more than 140 domains from E3 ligases and associated auxiliary proteins, distributed over four studies. SLiM discovery was based on proteomic peptide–phage display (ProP–PD) screening. ProP–PD is a high-throughput method to identify peptide ligands from the proteome, from which consensus motifs can be derived. We disclose 11,460 potential SLiM instances of the E3 ligase machinery. We describe 40 distinct SLiMs, of which 14 are either entirely novel or redefine known binding determinants. The defined SLiMs allow us to predict additional putative proteomic binding sites. Interactions were validated using peptide SPOT arrays, and characterized using fluorescence polarization-based affinity measurements. Motif key residues were further validated using alanine-scanning footprinting. Using artificial intelligence-based modelling, we localized binding sites on the folded domains and validate them through site-directed mutagenesis. Among the results, we highlight the establishment of internal peptide recognition by the TPR domain of STUB1, the definition of the peptide-binding capacity of four MIB-HERC2 domains, and the establishment of a RNF41 binding motif in USP8.

Collectively, the research provides a substantially expanded SLiM-based interaction space of E3 ligases, both in terms of interactions and motifs. By systematically mapping E3 binding motifs and binding sites at unprecedented scale, this thesis provides a resource that advances the biochemical understanding of the protein-protein interactions of E3 ligases. The insights into these interactions may contribute to the decoding of specificity determinants of ubiquitin-mediated signaling, and may lay the groundwork for future efforts to predict, manipulate, and therapeutically target ubiquitin-dependent regulatory networks.

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