Analysis of proteasome stress in different cell types defines a conserved transcriptional response signature and its modulation with aging

Abstract The proteasome is essential for proteostasis. Transcriptional induction of proteasomal components occurs when the proteasome is inhibited, but an overview of the transcriptional responses caused by proteasome perturbation is missing. Here, we profiled transcriptional changes caused by chemical and genetic proteasome inhibition and defined time–dose responses in cells and organoids. Induction of proteasome components varied by cell type and inhibition mode, whereas other responses were consistent, including upregulation of chaperones and secreted factors, and repression of cell cycle regulators. A proteasome stress response signature was defined based on the genes consistently modulated across systems, and applying this signature to aging datasets revealed activation of this stress response in some tissues, including skeletal muscle. Moreover, secreted factors within the signature showed similar age-related changes in human plasma, suggesting systemic activation of this stress response with aging. Together, these findings define a transcriptional signature for monitoring proteasome stress during aging and age-related diseases.

Authors

Institutions

Publication Details

Journal
G3 Genes Genomes Genetics
Published
2026-09-16
DOI
https://doi.org/10.1093/g3journal/jkag245
Primary Topic
Ubiquitin and proteasome pathways
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Analysis of proteasome stress in different cell types defines a conserved transcriptional response signature and its modulation with aging

Anjana Nityanandam, Fabio Demontis, Yong‐Dong Wang, Mamta Rai et al.
G3 Genes Genomes Genetics
Ubiquitin and proteasome pathways
article

Analysis of proteasome stress in different cell types defines a conserved transcriptional response signature and its modulation with aging

Anjana Nityanandam, Fabio Demontis, Yong‐Dong Wang, Mamta Rai, Anna Stephan
article en

Abstract

Abstract The proteasome is essential for proteostasis. Transcriptional induction of proteasomal components occurs when the proteasome is inhibited, but an overview of the transcriptional responses caused by proteasome perturbation is missing. Here, we profiled transcriptional changes caused by chemical and genetic proteasome inhibition and defined time–dose responses in cells and organoids. Induction of proteasome components varied by cell type and inhibition mode, whereas other responses were consistent, including upregulation of chaperones and secreted factors, and repression of cell cycle regulators. A proteasome stress response signature was defined based on the genes consistently modulated across systems, and applying this signature to aging datasets revealed activation of this stress response in some tissues, including skeletal muscle. Moreover, secreted factors within the signature showed similar age-related changes in human plasma, suggesting systemic activation of this stress response with aging. Together, these findings define a transcriptional signature for monitoring proteasome stress during aging and age-related diseases.

G3 Genes Genomes Genetics
St. Jude Children's Research Hospital (US)
Good health and well-being
Openalex Percentile: Top 18%
Ubiquitin and proteasome pathways
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Analysis of proteasome stress in different cell types defines a conserved transcriptional response signature and its modulation with aging — Anjana Nityanandam, Fabio Demontis, et al. · G3 Genes Genomes Genetics (2026) | TGRS Research Map | TGRS