Home
 /
Papers
 /
Molecular Biology
 /
In vivo kinetics of protein degradation by individual proteasomes
Preprint
Open access
V1
Top 1% · Validated by QED

In vivo kinetics of protein degradation by individual proteasomes

Maximilian F. Madern, David Haselbach, Marvin E. Tanenbaum
January 2026
 ·
bioRxiv
 ·
DOI 
10.64898/2026.01.19.700426
94
%
Reproducible
QED Impressions
This paper passed independent validation.
QED's automated review checked the evidence supporting each claim, the statistical methods, and whether the results are reproducible from the data provided.

It ranks in the top 1% of preprints assessed in Molecular Biology this quarter.
Run full QED analysis
Read paper
Save

Why this is interesting

By establishing the first live-cell single-molecule window into proteasome degradation, this work overturns the uniform-machine view and reveals that substrate engagement mode and directionality fundamentally dictate processing outcomes—reframing proteostasis and neurodegeneration research.

QED claims analysis

Summary

Single-molecule imaging of proteasome activity in living cells reveals that substrate processing kinetics are primarily determined by the mode of substrate engagement rather than substrate properties, with terminal engagement enabling rapid and processive degradation that is largely independent of substrate folding or sequence, while substrate-internal engagement exhibits poor processivity and an absolute requirement for the AAA+ ATPase p97/VCP, and degradation from opposite termini proceeds with asymmetric, sequence-dependent rates that have important implications for protein quality control.

See full analysis
Main Claim 1 –

Live-cell single-molecule imaging quantifies degradation by individual proteasomes

Supporting evidence

  • SunTag antibody labeling does not alter proteasome degradation kinetics
  • mNeonGreen substrates validate measured single-proteasome degradation rates
  • Proteasomes are highly processive in vivo, ~15,000 aa per engagement
  • Proteasome pausing is rare during substrate degradation in vivo
Main Claim 2 –

Substrate identity, folding, and interactions minimally affect proteasome efficiency

Supporting evidence

  • Proteasomes efficiently degrade highly stable DHFR domains in vivo
  • Long polyglutamine tracts do not inherently block proteasome degradation
Main Claim 3 –

Proteasomal degradation rates are asymmetric between termini, sequence-dependent

Supporting evidence

  • C-to-N proteasomal degradation is faster than N-to-C for same substrate
  • Directionality effects are substrate-specific: strong for polyQ, weak for SNAP-tag
Main Claim 4 –

Proteasome–ribosome collisions during co-translational decay trigger ribosome dissociation

Supporting evidence

  • Acute proteasome inhibition supports ribosome dissociation after collisions

Abstract

Protein degradation by the proteasome is central to cellular homeostasis and has been studied extensively using biochemical and structural studies. Despite an in-depth understanding of core proteolytic activity, it has remained largely unresolved how individual proteasomes process substrates inside living cells where many substrate types and co-factors exist. Here, we establish a live-cell single-molecule imaging approach that enables direct visualization and quantification of protein degradation by individual proteasomes. Using this approach, we find that substrate identity, folding and protein-protein interaction have a surprisingly modest impact on processing efficiency, whereas the mode of substrate engagement greatly impacts substrate processing; degradation initiated from protein termini typically proceeds rapidly and with high processivity, whereas internal engagement constitutes a distinct processing mode that exhibits poor processivity and a specific requirement for the AAA+ family ATPase p97/VCP. Furthermore, degradation initiated from opposite termini proceeds with asymmetric rates in a sequence-dependent manner, demonstrating that directionality is an important feature of proteasomal processing in vivo. Notably, poly-glutamine substrates associated with neurodegenerative disease are efficiently degraded from one terminus but resist degradation when engaged from the opposite terminus, highlighting the importance of substrate engagement mode. Together, our results show that different modes of substrate engagement lead to different proteasomal processing outcomes in vivo and revise the prevailing view of the proteasome as a uniform degradation machine.

Related papers

How the QED Score works

QED Score is a validated AI-based quality metric that evaluates life science papers on two dimensions: originality and validity. Each manuscript is anonymized, broken down into its claims and supporting evidence, and examined by specialized AI agents for statistical rigor, consistency across figures, and fit with the existing literature. Scores are percentile ranks, so they're comparable across fields. In blinded tests, expert professors sided with QED Score over journal rank in 75% of decisive cases.
Read the methodology

Free access for academic researchers

Create your free QED account to validate your research, strengthen grant proposals, and uncover scientific insights.
We've sent you an access link.
Please check your inbox.

Didn't get your email? Check your spam folder or reach out to info@qedscience.com

Oops! Something went wrong while submitting the form.
Looking for QED for pharma, biotech or life science organizations?