Lysine deserts prevent adventitious ubiquitylation of ubiquitin-proteasome components

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Dokumenter

  • Fulltext

    Forlagets udgivne version, 10,4 MB, PDF-dokument

In terms of its relative frequency, lysine is a common amino acid in the human proteome. However, by bioinformatics we find hundreds of proteins that contain long and evolutionarily conserved stretches completely devoid of lysine residues. These so-called lysine deserts show a high prevalence in intrinsically disordered proteins with known or predicted functions within the ubiquitin-proteasome system (UPS), including many E3 ubiquitin-protein ligases and UBL domain proteasome substrate shuttles, such as BAG6, RAD23A, UBQLN1 and UBQLN2. We show that introduction of lysine residues into the deserts leads to a striking increase in ubiquitylation of some of these proteins. In case of BAG6, we show that ubiquitylation is catalyzed by the E3 RNF126, while RAD23A is ubiquitylated by E6AP. Despite the elevated ubiquitylation, mutant RAD23A appears stable, but displays a partial loss of function phenotype in fission yeast. In case of UBQLN1 and BAG6, introducing lysine leads to a reduced abundance due to proteasomal degradation of the proteins. For UBQLN1 we show that arginine residues within the lysine depleted region are critical for its ability to form cytosolic speckles/inclusions. We propose that selective pressure to avoid lysine residues may be a common evolutionary mechanism to prevent unwarranted ubiquitylation and/or perhaps other lysine post-translational modifications. This may be particularly relevant for UPS components as they closely and frequently encounter the ubiquitylation machinery and are thus more susceptible to nonspecific ubiquitylation.

OriginalsprogEngelsk
Artikelnummer143
TidsskriftCellular and Molecular Life Sciences
Vol/bind80
Udgave nummer6
Antal sider18
ISSN1420-682X
DOI
StatusUdgivet - 2023

Bibliografisk note

Funding Information:
The authors thank Sofie V. Nielsen and Birthe B. Kragelund for the helpful discussions and comments on the manuscript, and the REPIN consortium for discussions on IDPs. We thank Anne-Marie Lauridsen and Søren Lindemose for excellent technical assistance. We thank Vibe H. Østergaard and Michael Lisby for assistance with the flow cytometry. We thank Mads Gyrd-Hansen for the HA-strep ubiquitin expression construct. We acknowledge access to computing resources from the Biocomputing Core Facility at the Department of Biology, University of Copenhagen.

Funding Information:
Open access funding provided by Royal Danish Library. This work was supported by a Villum Fonden ( https://veluxfoundations.dk/ ) research grant 40526 (to R.H.P.), the Novo Nordisk Foundation ( https://novonordiskfonden.dk ) challenge programmes PRISM (NNF18OC0033950; to R.H.P. and K.L-L.) and REPIN (NNF18OC0033926; to R.H.P.), NNF18OC0052441 (to R.H.P.), and the Novo Nordisk Foundation collaborative Data Science programme: Basic Machine Learning Research in Life Science, NNF20OC0062606 (to W.B.), and Danish Council for Independent Research (Natur og Univers, Det Frie Forskningsråd) ( https://dff.dk/ ) https://doi.org/10.46540/2032-00007B (to R.H.P.). M.H.T was supported by Cancer Research UK (CRUK C434/A21747) and Wellcome (217196/Z/19/Z). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Publisher Copyright:
© 2023, The Author(s).

ID: 347485855