全蛋白质组蛋白质相互作用主题依存图

Sara Ambjoern, Bob Meeusen, Johanna Kliche, Juanjuan Wang, Dimitriya Garvanska, Thomas Kruse, Blanca Lopez-Mendez, Matthias Mann, Niels Mailand, Emil Hertz, Norman E Davey, Jakob Nilsson
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引用次数: 0

摘要

短线性结构(SLiMs)是人类蛋白质组非结构化区域中最普遍的蛋白质相互作用模块。尽管它们在蛋白质功能中起着核心作用,但我们对 SLiMs 对细胞平衡的贡献的了解仍然有限。为了解决这个问题,我们设计了基础编辑器文库,以精确突变所有已被策定的 SLiMs 和一组由 SLiM 类进化模式定义的计算预测实例。通过针对 7,293 个含有 SLiM 的区域进行 80,473 次突变,我们定义了 SLiM 依赖性图谱,确定了正常细胞增殖所需的 450 个已知 SLiM 和 264 个预测 SLiM。值得注意的是,绝大多数重要的预测 SLiMs 都属于 SLiMs 的新类别。 我们还发现了一些预测 SLiMs 的结合伙伴,并提供了对致病突变的机理认识。我们的研究提供了有关 SLiM 必要性的全蛋白质组资源,并强调了人类蛋白质组中存在大量未表征的必要 SLiM。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A proteome-wide dependency map of protein interaction motifs
Short linear motifs (SLiMs) are the most ubiquitous protein interaction modules in the unstructured regions of the human proteome. Despite their central role in protein function, our understanding of the contribution of SLiMs to cellular homeostasis remains limited. To address this, we designed base editor libraries to precisely mutate all curated SLiMs and a set of computationally predicted instances defined by SLiM-like evolutionary patterns. By targeting 7,293 SLiM containing regions with 80,473 mutations, we define a SLiM dependency map identifying 450 known and 264 predicted SLiMs required for normal cell proliferation. Notably, the vast majority of essential predicted SLiMs belong to novel classes of SLiMs. We also uncover the binding partners of several predicted SLiMs and provide mechanistic insight into disease causing mutations. Our study provides a proteome-wide resource on SLiM essentiality and highlights the presence of numerous uncharacterised essential SLiMs in the human proteome.
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