Protein entanglement misfolding influences whether proteins undergo proteasomal degradation or persist in near-native misfolded states

Abstract A novel class of protein misfolding involving changes in entanglement status occurs across the bacterial cytosolic proteome and likely exists in many other organisms. Here, we test whether this class of misfolding has measurable consequences for protein homeostasis by examining its relationship with ubiquitin-mediated proteasomal degradation immediately after protein synthesis. Integrating protein structural information with ubiquitin mass spectrometry (Ubq-MS) data from human fibroblasts, we find that proteins containing native non-covalent lasso entanglements (NCLEs), which are known to be more prone to misfolding, are 93% (95% Confidence Interval: 44–160%) more likely to be ubiquitinated and targeted for proteasomal degradation than proteins lacking native entanglements. Coarse-grained folding simulations further show that ubiquitinated proteins with native entanglements are four-fold more likely to misfold than non-ubiquitinated proteins without entanglements. These results suggest that entanglement misfolding, primarily through failure to form native entanglements, increases susceptibility to proteasomal degradation. We further estimate that approximately one-third of the globular proteome populates near-native entanglement-misfolded states that evade proteasomal degradation because they remain structurally similar to the native ensemble. Given that entanglement misfolding is inherent to the polymeric nature of proteins, these findings are likely applicable across diverse organisms.

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Publication Details

Journal
Nature Communications
Published
2026-08-24
DOI
https://doi.org/10.1038/s41467-026-76875-9
Primary Topic
Ubiquitin and proteasome pathways
Type
article
Field-Weighted Citation Impact
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Protein entanglement misfolding influences whether proteins undergo proteasomal degradation or persist in near-native misfolded states

Sina Ghaemmaghami, Yang Jiang, Edward P. O’Brien, Anushka Jain
Nature Communications
Ubiquitin and proteasome pathways
article

Protein entanglement misfolding influences whether proteins undergo proteasomal degradation or persist in near-native misfolded states

Sina Ghaemmaghami, Yang Jiang, Edward P. O’Brien, Anushka Jain
article en

Abstract

Abstract A novel class of protein misfolding involving changes in entanglement status occurs across the bacterial cytosolic proteome and likely exists in many other organisms. Here, we test whether this class of misfolding has measurable consequences for protein homeostasis by examining its relationship with ubiquitin-mediated proteasomal degradation immediately after protein synthesis. Integrating protein structural information with ubiquitin mass spectrometry (Ubq-MS) data from human fibroblasts, we find that proteins containing native non-covalent lasso entanglements (NCLEs), which are known to be more prone to misfolding, are 93% (95% Confidence Interval: 44–160%) more likely to be ubiquitinated and targeted for proteasomal degradation than proteins lacking native entanglements. Coarse-grained folding simulations further show that ubiquitinated proteins with native entanglements are four-fold more likely to misfold than non-ubiquitinated proteins without entanglements. These results suggest that entanglement misfolding, primarily through failure to form native entanglements, increases susceptibility to proteasomal degradation. We further estimate that approximately one-third of the globular proteome populates near-native entanglement-misfolded states that evade proteasomal degradation because they remain structurally similar to the native ensemble. Given that entanglement misfolding is inherent to the polymeric nature of proteins, these findings are likely applicable across diverse organisms.

Nature Communications
Life in Land
Openalex Percentile: Top 16%
Ubiquitin and proteasome pathways
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Protein entanglement misfolding influences whether proteins undergo proteasomal degradation or persist in near-native misfolded states — Sina Ghaemmaghami, Yang Jiang, et al. · Nature Communications (2026) | TGRS Research Map | TGRS