Suppr超能文献

人类胞质降解子的完整图谱及其与疾病的关联。

A complete map of human cytosolic degrons and their relevance for disease.

作者信息

Voutsinos Vasileios, Johansson Kristoffer E, Larsen Fia B, Grønbæk-Thygesen Martin, Jonsson Nicolas, Holm-Olesen Emma, Tesei Giulio, Stein Amelie, Fowler Douglas M, Lindorff-Larsen Kresten, Hartmann-Petersen Rasmus

机构信息

Linderstrøm-Lang Centre for Protein Science, Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, DK2200N Copenhagen, Denmark.

Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, DK2200N Copenhagen, Copenhagen, Denmark.

出版信息

bioRxiv. 2025 May 15:2025.05.10.653233. doi: 10.1101/2025.05.10.653233.

Abstract

Degrons are short protein segments that target proteins for degradation via the ubiquitin-proteasome system and thus ensure timely removal of signaling proteins and clearance of misfolded proteins from the intracellular space. Here, we describe a systematic screen for degrons in the human cytosol. We determine degron potency of >200,000 different 30-residue tiles from more than 5,000 cytosolic human proteins with 99.7% coverage. In total, 19.1% of the tiles function as strong degrons, 30.4% as intermediate degrons, while 50.5% did not display degron properties. The vast majority of the degrons are dependent on the E1 ubiquitin-activating enzyme and the proteasome but independent of autophagy. The results reveal both known and novel degron motifs, both internal as well as at the C-terminus. Mapping the degrons onto protein structures, predicted by AlphaFold2, revealed that most of the degrons are located in buried regions, indicating that they only become active upon unfolding or misfolding. Training of a machine learning model allowed us to probe the degron properties further and predict the cellular abundance of missense variants that operate by forming degrons in exposed and disordered protein regions, thus providing a mechanism of pathogenicity for germline coding variants at such positions.

摘要

降解结构域是短的蛋白质片段,可通过泛素-蛋白酶体系统将蛋白质靶向降解,从而确保信号蛋白的及时清除以及细胞内空间中错误折叠蛋白质的清除。在此,我们描述了一项针对人类细胞质中降解结构域的系统筛选。我们从5000多种细胞质人类蛋白质中确定了超过20万个不同的30个残基片段的降解结构域效力,覆盖率达99.7%。总体而言,19.1%的片段作为强效降解结构域发挥作用,30.4%作为中等强度降解结构域,而50.5%未表现出降解结构域特性。绝大多数降解结构域依赖于E1泛素激活酶和蛋白酶体,但不依赖于自噬。结果揭示了已知和新型的降解结构域基序,包括内部和C端的基序。将降解结构域映射到由AlphaFold2预测的蛋白质结构上,发现大多数降解结构域位于埋藏区域,这表明它们只有在展开或错误折叠时才会变得活跃。机器学习模型的训练使我们能够进一步探究降解结构域特性,并预测通过在暴露和无序的蛋白质区域形成降解结构域而起作用的错义变体的细胞丰度,从而为这些位置的种系编码变体提供致病机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/551a/12132302/73bc371c2437/nihpp-2025.05.10.653233v1-f0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验