eLifeMolecular BiologyPeer-reviewed journal article
Targeting DNA topoisomerases or checkpoint kinases results in an overload of chaperone systems, triggering aggregation of a metastable subproteome
Wouter HuitingiD, Suzanne L. Dekker, Joris CJ van der LiendeniD, Rafaella MergeneriD, Maiara Kolbe MusskopfiD, Gabriel Vasata FurtadoiD, Emma GerritsiD, David Coit, Mehrnoosh OghbaieiD, Luciano H. Di Stefano, Hein SchepersiD, Maria A.W.H. van Waarde-Verhagen, Suzanne CouzijniD, Lara BarazzuoliD, John LaCavaiD, Harm H. KampingaiD, Steven BerginkiD
Abstract
A loss of the checkpoint kinase ATM leads to impairments in the DNA damage response, and in humans causes cerebellar neurodegeneration, and a high risk to cancer. A loss of ATM is also associated with increased protein aggregation. The relevance and characteristics of this aggregation are still incompletely understood. Moreover, it is unclear to what extent other genotoxic conditions can trigger protein aggregation as well. Here, we show that targeting ATM, but also ATR or DNA topoisomerases result in a similar, widespread aggregation of a metastable, disease-associated subfraction of the proteome. Aggregation-prone model substrates, including Huntingtin exon1 containing an expanded polyglutamine repeat, aggregate faster under these conditions. This increased aggregation results from an overload of chaperone systems, which lowers the cell-intrinsic threshold for proteins to aggregate. In line with this, we find that inhibition of the HSP70 chaperone system further exacerbates the increased protein aggregation. Moreover, we identify the molecular chaperone HSPB5 as a potent suppressor of it. Our findings reveal that various genotoxic conditions trigger widespread protein aggregation in a manner that is highly reminiscent of the aggregation occurring in situations of proteotoxic stress and in proteinopathies.
- organism: human
- assay: proteomics
- research focus: protein structure prediction
- research focus: protein design
- research focus: drug response / drug discovery
- research focus: perturbation response prediction
- approach: experimental assay
- Citations
- 19
- FWCI
- 1.31
- Field percentile
- top 21%
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