Evidence map›Paper›PMID 40027645›Full record

ArticlebioRxiv : the preprint server for biology2025

Structural basis for the midnolin-proteasome pathway and its role in suppressing myeloma.

Christopher Nardone, Jingjing Gao, Hyuk-Soo Seo, Julian Mintseris, Lucy Ort, Matthew C J Yip, Milen Negasi, Anna K Besschetnova, Nolan Kamitaki, Steven P Gygi and 7 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Christopher NardoneORCID 0000-0002-1705-5310
Jingjing Gao
Hyuk-Soo Seo
Julian Mintseris
Lucy Ort
Matthew C J Yip
Milen Negasi
Anna K Besschetnova
Nolan Kamitaki
Steven P Gygi
Sirano Dhe-Paganon
Nikhil Munshi
Mariateresa Fulciniti
Michael E Greenberg
Stephen J Elledge

Funding

Targeting Genomic Instability and Evolution in MyelomaP01CA155258 · NCI · DANA-FARBER CANCER INST · PI Nikhil C. Munshi · 2011 to 2026
$32.5M
Training Program in Bioinformatics and Integrative GenomicsT32HG002295 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Peter J Park · 2001 to 2026
$15.8M
Quality control of mislocalized membrane proteinsR01AG073277 · NIA · HARVARD MEDICAL SCHOOL · PI Sichen Shao · 2022 to 2026
$1.7M
NCI NIH HHS P01 CA155258NHGRI NIH HHS T32 HG002295NIA NIH HHS R01 AG073277
6 · The paper itself

Abstract

The midnolin-proteasome pathway degrades many nuclear proteins without ubiquitination, but how it operates mechanistically remains unclear. Here, we present structures of the midnolin-proteasome complex, revealing how established proteasomal components are repurposed to enable a unique form of proteolysis. While the proteasomal subunit PSMD2/Rpn1 binds to ubiquitinated or ubiquitin-like proteins, we discover that it also interacts with the midnolin nuclear localization sequence, elucidating how midnolin's activity is confined to the nucleus. Likewise, PSMD14/Rpn11, an enzyme that normally cleaves ubiquitin chains, surprisingly functions non-enzymatically as a receptor for the midnolin ubiquitin-like (Ubl) domain, positioning the substrate-binding Catch domain directly above the proteasomal entry site to guide substrates into the proteasome. Moreover, we demonstrate that midnolin downregulation is critical for the survival of myeloma cells by promoting the expression of its transcription factor substrate IRF4. Our findings uncover the mechanisms underlying the midnolin-proteasome pathway and midnolin downregulation as a driver of multiple myeloma.

Identifiers

PMID40027645
PMCPMC11870617

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.