Unbiased mapping of cereblon neosubstrate landscape by high-throughput proteomics

11Citations
Citations of this article
53Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Molecular glue degraders (MGDs) are small molecules that co-opt the ubiquitin-proteasome system to induce degradation of target proteins, including those considered undruggable. Their discovery remains challenging due to the lack of rational design strategies and limited throughput of unbiased proteome-wide screening approaches. To address this gap, we develop a high-throughput proteomics platform based on label-free, data-independent acquisition mass spectrometry (DIA-MS), enabling integrated proteomics and ubiquitinomics profiling. Screening a diverse set of 100 cereblon (CRBN)-recruiting ligands on this platform leads to identification of a broad array of novel degraders and neosubstrates. Subsequent hit validation and structure-degradation relationship analyses guided by global proteomics reveal highly selective and potent phenyl glutarimide-based degraders targeting previously uncharacterized neosubstrates such as KDM4B, G3BP2 and VCL; none of which contain the classical CRBN β-hairpin degron. These findings underscore the power of unbiased high-throughput proteomics in MGD drug discovery and reveal a substantially expanded CRBN neosubstrate landscape beyond that defined by classical immunomodulatory imid drugs (IMiDs).

Cite

CITATION STYLE

APA

Steger, M., Nishiguchi, G., Wu, Q., Schwalb, B., Shashikadze, B., McGowan, K., … Rankovic, Z. (2025). Unbiased mapping of cereblon neosubstrate landscape by high-throughput proteomics. Nature Communications , 16(1). https://doi.org/10.1038/s41467-025-62829-0

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free