Declining intracellular proteostasis capacity drives misfolded protein secretion in senescent human cells.
Watts, T.; Johnston, H. E.; Al-Mufti, Y.; Odle, R. I.; Hodgson, R.; Okkenhaug, H.; Carr, H.; Cranwell, S.; Wu, E.; Walker, S.; Andrews, S.; Shelkovnikova, T.; Samant, R. S.
Show abstract
Healthy protein homeostasis ( proteostasis) relies on tightly-regulated protein quality-control (PQC) circuits that co-ordinate sequestration and clearance of potentially toxic aggregation-prone proteins, arising from various internal or external stress throughout an organisms lifespan. At the protein level, proteotoxic stress responses typically involve extensive poly-ubiquitylation and sequestration of aggregation-prone proteins and PQC factors into various protective cytoplasmic and nuclear granules. However, much of our current understanding regarding this aspect of stress responses in humans stems from research in proliferating cells--despite growing evidence that stress responses vary considerably at the transcriptional level across cell proliferation states. Here, we show that the senescent cellular state--considered a major contributor to ageing-associated degeneration due to a chronic inflammatory phenotype--re-wires PQC and expels the misfolded protein load to mitigate proteotoxic stresses. Starting with a multi-dimensional transcriptomics and proteomics approach for measuring levels of total, poly-ubiquitylated, and granule-forming proteins, we have discovered a clear point of divergence between senescent and proliferating or quiescent human cell states in their responses to proteotoxic stress. Although the proteins that were poly-ubiquitylated and degraded during stress were largely conserved across states, the stress-induced sedimentation of a large number of disease-associated RNA-binding proteins (including TDP-43) was impaired only in the senescent state. Strikingly, TDP-43, as well as several other misfolded proteins, were actively secreted through the endo-lysosomal system by a diverse range of senescent cells during acute or chronic stress, through a process that requires the vesicle-associated HSP70 co-chaperone DNAJC5--an established risk factor for several neurodegenerative diseases. Misfolded protein secretion could be rescued by increasing intracellular HSP levels in shallow but not deep senescence, suggesting that secretion is a proteostatic adaptation that becomes less reversible over time. Our findings reveal an unappreciated aspect of the senescent-cell secretory phenotype, which may have important consequences for the non-cell-autonomous impact of senescence at the level of tissue resilience and frailty.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Single-cell RNA sequencing reveals distinct senotypes and a quiescence-senescence continuum at the transcriptome level following chemotherapy 96%
- Gene body DNA hydroxymethylation restricts the magnitude of transcriptional changes during aging 95%
- Translational reprogramming in response to accumulating stressors ensures critical threshold levels of Hsp90 for mammalian life 95%
Similar papers in this journal
- Global analysis of aging-related protein structural changes uncovers enzyme polymerization-based control of longevity 95%
- Attenuation of ATM signaling by ROS delays replicative senescence at physiological oxygen 95%
- A redox switch in p21-CDK feedback during G2 phase controls the proliferation-cell cycle exit decision 95%
Similar papers in this journal
Similar papers in this journal
- Mitochondrial complex III-derived ROS amplify immunometabolic changes in astrocytes and promote dementia pathology 95%
- Aging-related inflammation driven by cellular senescence enhances NAD consumption via activation of CD38+ macrophages 95%
- Interaction of sortilin with apolipoprotein E3 enables neurons to use long-chain fatty acids as alternative metabolic fuel 93%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.