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原生质谱法捕捉具有低复杂性结构域的蛋白质的构象可塑性。

Native Mass Spectrometry Captures the Conformational Plasticity of Proteins with Low-Complexity Domains.

作者信息

Osterholz Hannah, Stevens Alexander, Abramsson Mia L, Lama Dilraj, Brackmann Klaus, Rising Anna, Elofsson Arne, Marklund Erik G, Deindl Sebastian, Leppert Axel, Landreh Michael

机构信息

Department of Cell and Molecular Biology, Uppsala University, 751 24 Uppsala, Sweden.

Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 171 65 Solna, Sweden.

出版信息

JACS Au. 2025 Jan 8;5(1):281-290. doi: 10.1021/jacsau.4c00961. eCollection 2025 Jan 27.

DOI:10.1021/jacsau.4c00961
PMID:39886581
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11775691/
Abstract

Disordered regions are an important functional feature of many multidomain proteins. A prime example is proteins in membraneless organelles, which contain folded domains that engage in specific interactions and disordered low-complexity (LC) domains that mediate liquid-liquid phase separation. Studying these complex architectures remains challenging due to their conformational variability. Native mass spectrometry (nMS) is routinely employed to analyze conformations and interactions of folded or disordered proteins; however, its ability to analyze proteins with disordered LC domains has not been investigated. Here, we analyze the ionization and conformational states of designed model proteins that recapitulate key features of proteins found in membraneless organelles. Our results show that charge state distributions (CSDs) in nMS reflect partial disorder regardless of the protein sequence, providing insights into their conformational plasticity and interactions. By applying the same CSD analysis to a spider silk protein fragment, we find that interactions between folded domains that trigger silk assembly simultaneously induce conformational changes in the LC domains. Lastly, using intact nucleosomes, we demonstrate that CSDs are a good predictor for the disorder content of complex native assemblies. We conclude that nMS reliably informs about the conformational landscape of proteins with LC domains, which is crucial for understanding protein condensates in cellular environments.

摘要

无序区域是许多多结构域蛋白质的重要功能特征。一个典型例子是无膜细胞器中的蛋白质,其包含参与特定相互作用的折叠结构域和介导液-液相分离的无序低复杂性(LC)结构域。由于其构象的变异性,研究这些复杂结构仍然具有挑战性。天然质谱(nMS)通常用于分析折叠或无序蛋白质的构象和相互作用;然而,其分析具有无序LC结构域的蛋白质的能力尚未得到研究。在这里,我们分析了设计的模型蛋白质的电离和构象状态,这些模型蛋白质概括了无膜细胞器中发现的蛋白质的关键特征。我们的结果表明,nMS中的电荷态分布(CSD)反映了部分无序,而与蛋白质序列无关,这为其构象可塑性和相互作用提供了见解。通过将相同的CSD分析应用于蜘蛛丝蛋白片段,我们发现触发丝组装的折叠结构域之间的相互作用同时诱导了LC结构域中的构象变化。最后,使用完整的核小体,我们证明CSD是复杂天然组装体无序含量的良好预测指标。我们得出结论,nMS能够可靠地反映具有LC结构域的蛋白质的构象景观,这对于理解细胞环境中的蛋白质凝聚物至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a69/11775691/6727c5eef04f/au4c00961_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a69/11775691/f8a0dfc66cf5/au4c00961_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a69/11775691/32074573e037/au4c00961_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a69/11775691/2930b8ccd78b/au4c00961_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a69/11775691/f7ee07717b66/au4c00961_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a69/11775691/6727c5eef04f/au4c00961_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a69/11775691/f8a0dfc66cf5/au4c00961_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a69/11775691/32074573e037/au4c00961_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a69/11775691/2930b8ccd78b/au4c00961_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a69/11775691/f7ee07717b66/au4c00961_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a69/11775691/6727c5eef04f/au4c00961_0005.jpg

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