Dataset Information

Ubiquitin-Activated Interaction Traps (UBAITs) identify E3 ligase binding partners.

ABSTRACT: We describe a new class of reagents for identifying substrates, adaptors, and regulators of HECT and RING E3s. UBAITs (Ubiquitin-Activated Interaction Traps) are E3-ubiquitin fusion proteins and, in an E1- and E2-dependent manner, the C-terminal ubiquitin moiety forms an amide linkage to proteins that interact with the E3, enabling covalent co-purification of the E3 with partner proteins. We designed UBAITs for both HECT (Rsp5, Itch) and RING (Psh1, RNF126, RNF168) E3s. For HECT E3s, trapping of interacting proteins occurred in vitro either through an E3 thioester-linked lariat intermediate or through an E2 thioester intermediate, and both WT and active-site mutant UBAITs trapped known interacting proteins in yeast and human cells. Yeast Psh1 and human RNF126 and RNF168 UBAITs also trapped known interacting proteins when expressed in cells. Human RNF168 is a key mediator of ubiquitin signaling that promotes DNA double-strand break repair. Using the RNF168 UBAIT, we identify H2AZ--a histone protein involved in DNA repair--as a new target of this E3 ligase. These results demonstrate that UBAITs represent powerful tools for profiling a wide range of ubiquitin ligases.

SUBMITTER: O'Connor HF

PROVIDER: S-EPMC4693525 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature

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Ubiquitin-Activated Interaction Traps (UBAITs) identify E3 ligase binding partners.

O'Connor Hazel F HF Lyon Nancy N Leung Justin W JW Agarwal Poonam P Swaim Caleb D CD Miller Kyle M KM Huibregtse Jon M JM

EMBO reports 20151027 12

We describe a new class of reagents for identifying substrates, adaptors, and regulators of HECT and RING E3s. UBAITs (Ubiquitin-Activated Interaction Traps) are E3-ubiquitin fusion proteins and, in an E1- and E2-dependent manner, the C-terminal ubiquitin moiety forms an amide linkage to proteins that interact with the E3, enabling covalent co-purification of the E3 with partner proteins. We designed UBAITs for both HECT (Rsp5, Itch) and RING (Psh1, RNF126, RNF168) E3s. For HECT E3s, trapping of ...[more]

PMID: 26508657

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Project description:BackgroundDegrons are short linear motifs, bound by E3 ubiquitin ligase to target protein substrates to be degraded by the ubiquitin-proteasome system. Mutations leading to deregulation of degron functionality disrupt control of protein abundance due to mistargeting of proteins destined for degradation and often result in pathologies. Targeting degrons by small molecules also emerges as an exciting drug design strategy to upregulate the expression of specific proteins. Despite their essential function and disease targetability, reliable identification of degrons remains a conundrum. Here, we developed a deep learning-based model named Degpred that predicts general degrons directly from protein sequences.ResultsWe showed that the BERT-based model performed well in predicting degrons singly from protein sequences. Then, we used the deep learning model Degpred to predict degrons proteome-widely. Degpred successfully captured typical degron-related sequence properties and predicted degrons beyond those from motif-based methods which use a handful of E3 motifs to match possible degrons. Furthermore, we calculated E3 motifs using predicted degrons on the substrates in our collected E3-substrate interaction dataset and constructed a regulatory network of protein degradation by assigning predicted degrons to specific E3s with calculated motifs. Critically, we experimentally verified that a predicted SPOP binding degron on CBX6 prompts CBX6 degradation and mediates the interaction with SPOP. We also showed that the protein degradation regulatory system is important in tumorigenesis by surveying degron-related mutations in TCGA.ConclusionsDegpred provides an efficient tool to proteome-wide prediction of degrons and binding E3s singly from protein sequences. Degpred successfully captures typical degron-related sequence properties and predicts degrons beyond those from previously used motif-based methods, thus greatly expanding the degron landscape, which should advance the understanding of protein degradation, and allow exploration of uncharacterized alterations of proteins in diseases. To make it easier for readers to access collected and predicted datasets, we integrated these data into the website http://degron.phasep.pro/ .

Dataset Information

Ubiquitin-Activated Interaction Traps (UBAITs) identify E3 ligase binding partners.

Publications

Ubiquitin-Activated Interaction Traps (UBAITs) identify E3 ligase binding partners.

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