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人类蛋白激酶种系致病性突变的特征。

Characterization of pathogenic germline mutations in human protein kinases.

机构信息

Structural Biology and Biocomputing Programme, Spanish National Cancer Research Centre (CNIO), C/Melchor Fernandez Almagro 3, E28029 Madrid, Spain.

出版信息

BMC Bioinformatics. 2011;12 Suppl 4(Suppl 4):S1. doi: 10.1186/1471-2105-12-S4-S1. Epub 2011 Jul 5.

DOI:10.1186/1471-2105-12-S4-S1
PMID:21992016
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3194193/
Abstract

BACKGROUND

Protein Kinases are a superfamily of proteins involved in crucial cellular processes such as cell cycle regulation and signal transduction. Accordingly, they play an important role in cancer biology. To contribute to the study of the relation between kinases and disease we compared pathogenic mutations to neutral mutations as an extension to our previous analysis of cancer somatic mutations. First, we analyzed native and mutant proteins in terms of amino acid composition. Secondly, mutations were characterized according to their potential structural effects and finally, we assessed the location of the different classes of polymorphisms with respect to kinase-relevant positions in terms of subfamily specificity, conservation, accessibility and functional sites.

RESULTS

Pathogenic Protein Kinase mutations perturb essential aspects of protein function, including disruption of substrate binding and/or effector recognition at family-specific positions. Interestingly these mutations in Protein Kinases display a tendency to avoid structurally relevant positions, what represents a significant difference with respect to the average distribution of pathogenic mutations in other protein families.

CONCLUSIONS

Disease-associated mutations display sound differences with respect to neutral mutations: several amino acids are specific of each mutation type, different structural properties characterize each class and the distribution of pathogenic mutations within the consensus structure of the Protein Kinase domain is substantially different to that for non-pathogenic mutations. This preferential distribution confirms previous observations about the functional and structural distribution of the controversial cancer driver and passenger somatic mutations and their use as a proxy for the study of the involvement of somatic mutations in cancer development.

摘要

背景

蛋白激酶是一类参与细胞周期调控和信号转导等关键细胞过程的蛋白质超家族,因此在癌症生物学中发挥着重要作用。为了研究激酶与疾病之间的关系,我们将致病突变与中性突变进行了比较,这是对我们之前癌症体细胞突变分析的扩展。首先,我们根据氨基酸组成分析了天然蛋白和突变蛋白。其次,根据潜在的结构效应对突变进行了特征描述,最后,我们根据亚家族特异性、保守性、可及性和功能位点评估了不同类别多态性相对于激酶相关位置的位置。

结果

致病蛋白激酶突变扰乱了蛋白功能的基本方面,包括破坏了家族特异性位置的底物结合和/或效应物识别。有趣的是,这些蛋白激酶中的突变倾向于避免结构相关位置,这与其他蛋白家族中致病突变的平均分布有显著差异。

结论

与中性突变相比,与疾病相关的突变具有明显的差异:每种突变类型都有特定的几个氨基酸,不同的结构特性表征每个类别,并且致病突变在蛋白激酶结构域的共识结构内的分布与非致病突变有很大不同。这种优先分布证实了先前关于有争议的癌症驱动和乘客体细胞突变的功能和结构分布的观察结果,以及它们作为研究体细胞突变在癌症发展中的作用的替代物的使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a0/3194193/a401374cb45c/1471-2105-12-S4-S1-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a0/3194193/276baf07bd59/1471-2105-12-S4-S1-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a0/3194193/a401374cb45c/1471-2105-12-S4-S1-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a0/3194193/276baf07bd59/1471-2105-12-S4-S1-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a0/3194193/a401374cb45c/1471-2105-12-S4-S1-2.jpg

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本文引用的文献

1
Protein interactions and ligand binding: from protein subfamilies to functional specificity.蛋白质相互作用和配体结合:从蛋白质亚家族到功能特异性。
Proc Natl Acad Sci U S A. 2010 Feb 2;107(5):1995-2000. doi: 10.1073/pnas.0908044107. Epub 2010 Jan 19.
2
Extraction of human kinase mutations from literature, databases and genotyping studies.从文献、数据库和基因分型研究中提取人类激酶突变。
BMC Bioinformatics. 2009 Aug 27;10 Suppl 8(Suppl 8):S1. doi: 10.1186/1471-2105-10-S8-S1.
3
Cancer-associated mutations are preferentially distributed in protein kinase functional sites.
利用新特征和多分类器对癌症激酶组中罕见致癌突变进行预测和优先级排序。
PLoS Comput Biol. 2014 Apr 17;10(4):e1003545. doi: 10.1371/journal.pcbi.1003545. eCollection 2014 Apr.
4
wKinMut: an integrated tool for the analysis and interpretation of mutations in human protein kinases.wKinMut:一个用于分析和解释人类蛋白激酶突变的综合工具。
BMC Bioinformatics. 2013 Nov 29;14:345. doi: 10.1186/1471-2105-14-345.
5
Emerging methods in protein co-evolution.蛋白质共进化的新兴方法。
Nat Rev Genet. 2013 Apr;14(4):249-61. doi: 10.1038/nrg3414. Epub 2013 Mar 5.
6
Genome3D: a UK collaborative project to annotate genomic sequences with predicted 3D structures based on SCOP and CATH domains.Genome3D:一个英国合作项目,基于 SCOP 和 CATH 结构域,对基因组序列进行注释和预测三维结构。
Nucleic Acids Res. 2013 Jan;41(Database issue):D499-507. doi: 10.1093/nar/gks1266. Epub 2012 Nov 30.
7
Prioritization of pathogenic mutations in the protein kinase superfamily.蛋白激酶超家族中致病性突变的优先级排序。
BMC Genomics. 2012 Jun 18;13 Suppl 4(Suppl 4):S3. doi: 10.1186/1471-2164-13-S4-S3.
癌症相关突变优先分布在蛋白激酶功能位点。
Proteins. 2009 Dec;77(4):892-903. doi: 10.1002/prot.22512.
4
Infrastructure for the life sciences: design and implementation of the UniProt website.生命科学基础设施:UniProt网站的设计与实现
BMC Bioinformatics. 2009 May 8;10:136. doi: 10.1186/1471-2105-10-136.
5
Progress and challenges in predicting protein-protein interaction sites.预测蛋白质-蛋白质相互作用位点的进展与挑战。
Brief Bioinform. 2009 May;10(3):233-46. doi: 10.1093/bib/bbp021. Epub 2009 Apr 3.
6
From cancer genomes to cancer models: bridging the gaps.从癌症基因组到癌症模型:弥合差距。
EMBO Rep. 2009 Apr;10(4):359-66. doi: 10.1038/embor.2009.46. Epub 2009 Mar 20.
7
The SAAPdb web resource: a large-scale structural analysis of mutant proteins.SAAPdb网络资源:突变蛋白的大规模结构分析
Hum Mutat. 2009 Apr;30(4):616-24. doi: 10.1002/humu.20898.
8
Prevalence of insulin resistance and its association with metabolic syndrome criteria among Bolivian children and adolescents with obesity.玻利维亚肥胖儿童和青少年中胰岛素抵抗的患病率及其与代谢综合征标准的关联。
BMC Pediatr. 2008 Aug 12;8:31. doi: 10.1186/1471-2431-8-31.
9
Second case of Beare-Stevenson syndrome with an FGFR2 Ser372Cys mutation.第二例伴有FGFR2丝氨酸372半胱氨酸突变的贝亚-史蒂文森综合征。
Am J Med Genet A. 2008 Mar 1;146A(5):658-60. doi: 10.1002/ajmg.a.32176.
10
Prenatal and postnatal presentation of severe achondroplasia with developmental delay and acanthosis nigricans (SADDAN) due to the FGFR3 Lys650Met mutation.因FGFR3基因Lys650Met突变导致的伴有发育迟缓及黑棘皮病的严重软骨发育不全(SADDAN)的产前及产后表现
Am J Med Genet A. 2008 Jan 15;146A(2):212-8. doi: 10.1002/ajmg.a.32085.