BiologybioRxiv

Ranked by formulaVerdict: Notable

Targeting proteasome composition reprograms tumor-intrinsic inflammation through selective degradation of STAT1

Proteasome regulatory particles determine cellular protein degradation capacities.

By Shmueli, Yongfeng, Singh +18

Score████░░░░░░4.3

Caveats

  • Preprint; not yet peer reviewed.

VerdictWorth a reader's time today.

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Abstract

Proteasome regulatory particles determine cellular protein degradation capacities. Yet specific ubiquitin-independent degradation targets of individual proteasome regulatory particles, and physiological roles of such pathways, remain largely elusive. Here, through a chemical biology-driven approach, we identify a covalent small molecule that selectively targets a conformationally dynamic pocket in the non-catalytic proteasome regulator PSME4 and modulates tumor cell proteasome targets. Using this chemical probe together with orthogonal genetic perturbations, we show that blocking or reducing PSME4 stabilizes STAT1, restores interferon-associated transcription, enhances antigen presentation, and disrupts IL-6/STAT3 signaling, collectively reprogramming tumor inflammation and suppressing tumor growth in vivo. These findings define a PSME4-STAT1-STAT3 axis that couples proteasomal degradation to antigen presentation and cytokine signaling and provide a framework for pharmacologically targeting non-catalytic proteasome regulators to reprogram tumor immunity. More broadly, our findings reveal that proteasome composition can actively govern the balance between immunostimulatory and immunosuppressive signaling programs.

M. D. Shmueli, T. Yongfeng, E. Singh, M. P. Kramer, A. Abramov, T. Aizik, D. Sheban, A. Lobov, K. Goldberg, A. Ibraheem, R. Shteinvil, A. Javitt, Y. Levin, M. A. Schafroth, D. Ogasawara, J. Gross, F. Adolf, B. Melillo, B. A. Schulman, B. F. Cravatt, Y. Merbl

The editor's rubric

Heuristic review

DimensionLevelWeightWhat that level means
Leverage███░░ 324%A method or resource many groups across the field will adopt within a year.
Magnitude██░░░ 216%Solid incremental gain on a meaningful problem.
Evidence███░░ 320%Solid: multiple benchmarks or cohorts, ablations, fair baselines, released code or data.
Novelty███░░ 320%A genuinely new approach to an open problem.
Trajectory██░░░ 210%Some room to improve with obvious engineering.
Stakes██░░░ 210%Benefits a professional community (practitioners, clinicians, engineers).

Editor’s rationale

Heuristic triage from title and abstract text only, not a reading of the paper. Cues found: method (we report); novelty (discovery); verification (experimental validation, independent replication).

How the score was computed

rank-2026-10-07

Score████░░░░░░4.3

Score = 10 × (75% × adjusted merit / 10 + 15% × attention + 10% × freshness)

Merit
5.3 / 10
Weighted rubric, evidence-gated.
Adjusted merit
4.5 / 10
Shrunk toward the desk prior by editor confidence (38%).
Attention
0%
Citations, upvotes, points, mentions.
Freshness
88%
Half-life decay since publication.

No attention signals recorded yet.

The record

  • Reviewed by heuristic-v6 on Oct 17, 2026, 05:48 UTC. Paper type: method.
  • Categories: cancer biology
  • BRIEF, No.6 in the Biology edition of October 17, 2026.