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基于模体的互作网络重排的疾病突变的蛋白质组尺度特征分析。

Proteome-scale characterisation of motif-based interactome rewiring by disease mutations.

机构信息

Department of Chemistry - BMC, Box 576, Husargatan 3, 751 23, Uppsala, Sweden.

Division of Cancer Biology, Institute of Cancer Research, Chester Beatty Laboratories, 237 Fulham Road, SW3 6JB, Chelsea, London, UK.

出版信息

Mol Syst Biol. 2024 Sep;20(9):1025-1048. doi: 10.1038/s44320-024-00055-4. Epub 2024 Jul 15.

DOI:10.1038/s44320-024-00055-4
PMID:39009827
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11369174/
Abstract

Whole genome and exome sequencing are reporting on hundreds of thousands of missense mutations. Taking a pan-disease approach, we explored how mutations in intrinsically disordered regions (IDRs) break or generate protein interactions mediated by short linear motifs. We created a peptide-phage display library tiling ~57,000 peptides from the IDRs of the human proteome overlapping 12,301 single nucleotide variants associated with diverse phenotypes including cancer, metabolic diseases and neurological diseases. By screening 80 human proteins, we identified 366 mutation-modulated interactions, with half of the mutations diminishing binding, and half enhancing binding or creating novel interaction interfaces. The effects of the mutations were confirmed by affinity measurements. In cellular assays, the effects of motif-disruptive mutations were validated, including loss of a nuclear localisation signal in the cell division control protein CDC45 by a mutation associated with Meier-Gorlin syndrome. The study provides insights into how disease-associated mutations may perturb and rewire the motif-based interactome.

摘要

全基因组和外显子组测序报告了数十万种错义突变。我们采用泛疾病方法,探索了内在无序区域(IDR)中的突变如何打破或产生由短线性基序介导的蛋白质相互作用。我们创建了一个肽噬菌体展示文库,该文库来自人类蛋白质组的 IDR 区域,覆盖了与多种表型相关的 12301 个单核苷酸变体,这些表型包括癌症、代谢疾病和神经疾病。通过筛选 80 个人类蛋白质,我们鉴定了 366 个突变调节的相互作用,其中一半的突变降低了结合,一半增强了结合或产生了新的相互作用界面。通过亲和力测量验证了突变的效果。在细胞实验中,验证了基序破坏突变的效果,包括与 Meier-Gorlin 综合征相关的突变导致细胞分裂控制蛋白 CDC45 的核定位信号丢失。该研究提供了有关疾病相关突变如何扰乱和重排基于基序的相互作用组的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0aed/11369174/13b865444b67/44320_2024_55_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0aed/11369174/dedad51a33bc/44320_2024_55_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0aed/11369174/3cf0b86226f2/44320_2024_55_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0aed/11369174/0d95f5ed3d36/44320_2024_55_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0aed/11369174/e1191e2aef0b/44320_2024_55_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0aed/11369174/2a9623992128/44320_2024_55_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0aed/11369174/13b865444b67/44320_2024_55_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0aed/11369174/dedad51a33bc/44320_2024_55_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0aed/11369174/3cf0b86226f2/44320_2024_55_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0aed/11369174/0d95f5ed3d36/44320_2024_55_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0aed/11369174/e1191e2aef0b/44320_2024_55_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0aed/11369174/2a9623992128/44320_2024_55_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0aed/11369174/13b865444b67/44320_2024_55_Fig6_HTML.jpg

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