• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

人类 CHK2 基因中与遗传性乳腺癌相关的高风险 SNPs 的计算分析:功能和结构影响。

Computational analysis of high-risk SNPs in human CHK2 gene responsible for hereditary breast cancer: A functional and structural impact.

机构信息

Stem Cell Biology Lab, Department of Cancer Biology, The Gujarat Cancer & Research Institute, Ahmedabad, Gujarat, India.

出版信息

PLoS One. 2019 Aug 9;14(8):e0220711. doi: 10.1371/journal.pone.0220711. eCollection 2019.

DOI:10.1371/journal.pone.0220711
PMID:31398194
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6688789/
Abstract

Nowadays CHK2 mutation is studied frequently in hereditary breast and ovarian cancer patients in addition to BRCA1/BRCA2. CHK2 is a tumor suppressor gene that encodes a serine/threonine kinase, also involved in pathways such as DNA repair, cell cycle regulation and apoptosis in response to DNA damage. CHK2 is a well-studied moderate penetrance gene that correlates with third high risk susceptibility gene with an increased risk for breast cancer. Hence before planning large population study, it is better to scrutinize putative functional SNPs of CHK2 using different computational tools. In this study, we have used various computational approaches to identify nsSNPs which are deleterious to the structure and/or function of CHK2 protein that might be causing this disease. Computational analysis was performed by different in silico tools including SIFT, Align GVGD, SNAP-2, PROVEAN, Poly-Phen-2, PANTHER, PhD-SNP, MUpro, iPTREE-STAB, Consurf, InterPro, NCBI Conserved Domain Search tool, ModPred, SPARKS-X, RAMPAGE, Verify-3D, FT Site, COACH and PyMol. Out of 78 nsSNP of human CHK2 gene, seven nsSNPs were predicted functionally most significant SNPs. Among these seven nsSNP, p.Arg160Gly, p.Gly210Arg and p.Ser415Phe are highly conserved residues with conservation score of 9 and three nsSNP were predicted to be involved in post translational modification. The p.Arg160Gly and p.Gly210Arg may interfere in phosphopeptide binding site on FHA conserved domain. The p.Ser415Phe may interfere in formation of activation loop of protein-kinase domain and might interfere in interactions of CHK2 with ligand. The study concludes that mutation of serine to phenylalanine at position 415 is a major mutation in native CHK2 protein which might contribute to its malfunction, ultimately causing disease. This is the first comprehensive study, where CHK2 gene variants are analyzed using in silico tools hence it will be of great help while considering large scale studies and also in developing precision medicines related to these polymorphisms in the era of personalized medicine.

摘要

如今,除了 BRCA1/BRCA2 之外,CHK2 突变也经常在遗传性乳腺癌和卵巢癌患者中进行研究。CHK2 是一种肿瘤抑制基因,编码丝氨酸/苏氨酸激酶,还参与 DNA 修复、细胞周期调控和细胞凋亡等途径,以应对 DNA 损伤。CHK2 是一种研究充分的中等外显率基因,与第三个高风险易感性基因相关,乳腺癌风险增加。因此,在计划大规模人群研究之前,最好使用不同的计算工具仔细研究 CHK2 的假定功能 SNPs。在这项研究中,我们使用了各种计算方法来识别可能导致这种疾病的 CHK2 蛋白结构和/或功能有缺陷的 nsSNP。通过不同的计算工具包括 SIFT、Align GVGD、SNAP-2、PROVEAN、Poly-Phen-2、PANTHER、PhD-SNP、MUpro、iPTREE-STAB、Consurf、InterPro、NCBI Conserved Domain Search tool、ModPred、SPARKS-X、RAMPAGE、Verify-3D、FT Site、COACH 和 PyMol 进行计算分析。在人类 CHK2 基因的 78 个 nsSNP 中,有 7 个被预测为功能上最重要的 SNP。在这 7 个 nsSNP 中,p.Arg160Gly、p.Gly210Arg 和 p.Ser415Phe 是高度保守的残基,保守评分均为 9,其中 3 个 nsSNP 被预测参与翻译后修饰。p.Arg160Gly 和 p.Gly210Arg 可能干扰 FHA 保守结构域上的磷酸肽结合位点。p.Ser415Phe 可能干扰蛋白激酶结构域的激活环的形成,并可能干扰 CHK2 与配体的相互作用。该研究得出结论,丝氨酸到 415 位苯丙氨酸的突变是天然 CHK2 蛋白的主要突变,可能导致其功能失调,最终导致疾病。这是首次使用计算工具对 CHK2 基因变异进行全面分析的研究,因此在考虑大规模研究时,以及在个性化医疗时代开发与这些多态性相关的精准药物时,它将非常有帮助。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f559/6688789/08583a7c0662/pone.0220711.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f559/6688789/edc6bd692d01/pone.0220711.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f559/6688789/dd6f766e2407/pone.0220711.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f559/6688789/08583a7c0662/pone.0220711.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f559/6688789/edc6bd692d01/pone.0220711.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f559/6688789/dd6f766e2407/pone.0220711.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f559/6688789/08583a7c0662/pone.0220711.g003.jpg

相似文献

1
Computational analysis of high-risk SNPs in human CHK2 gene responsible for hereditary breast cancer: A functional and structural impact.人类 CHK2 基因中与遗传性乳腺癌相关的高风险 SNPs 的计算分析:功能和结构影响。
PLoS One. 2019 Aug 9;14(8):e0220711. doi: 10.1371/journal.pone.0220711. eCollection 2019.
2
Computational analysis for the determination of deleterious nsSNPs in human MTHFD1 gene.用于确定人类MTHFD1基因中有害非同义单核苷酸多态性的计算分析。
Comput Biol Chem. 2017 Oct;70:7-14. doi: 10.1016/j.compbiolchem.2017.07.001. Epub 2017 Jul 11.
3
Computational analysis for the determination of deleterious nsSNPs in human MTHFR gene.计算分析人类 MTHFR 基因中有害的非同义单核苷酸多态性(nsSNP)。
Comput Biol Chem. 2018 Jun;74:20-30. doi: 10.1016/j.compbiolchem.2018.02.022. Epub 2018 Feb 27.
4
Predicting the functional and structural consequences of nsSNPs in human methionine synthase gene using computational tools.利用计算工具预测人类蛋氨酸合成酶基因中 nsSNP 的功能和结构后果。
Syst Biol Reprod Med. 2019 Aug;65(4):288-300. doi: 10.1080/19396368.2019.1568611. Epub 2019 Jan 24.
5
Computational Analysis of High-Risk SNPs in Human DBY Gene Responsible for Male Infertility: A Functional and Structural Impact.人类 DBY 基因中导致男性不育的高风险 SNP 的计算分析:功能和结构影响。
Interdiscip Sci. 2019 Sep;11(3):412-427. doi: 10.1007/s12539-018-0290-7. Epub 2018 Mar 8.
6
Identification and in silico analysis of functional SNPs of human TAGAP protein: A comprehensive study.人类TAGAP蛋白功能性单核苷酸多态性的鉴定与计算机模拟分析:一项综合研究。
PLoS One. 2018 Jan 12;13(1):e0188143. doi: 10.1371/journal.pone.0188143. eCollection 2018.
7
A computational in silico approach to predict high-risk coding and non-coding SNPs of human PLCG1 gene.一种计算计算方法,用于预测人类 PLCG1 基因的高风险编码和非编码 SNPs。
PLoS One. 2021 Nov 18;16(11):e0260054. doi: 10.1371/journal.pone.0260054. eCollection 2021.
8
analysis of nsSNPs in gene affecting breast cancer associated aromatase enzyme.分析影响乳腺癌相关芳香化酶基因的 nsSNPs。
J Genet. 2021;100.
9
In-Silico Analyses of Nonsynonymous Variants in the BRCA1 Gene.BRCA1基因非同义变异的计算机模拟分析
Biochem Genet. 2021 Dec;59(6):1506-1526. doi: 10.1007/s10528-021-10074-7. Epub 2021 May 4.
10
Assessment of structurally and functionally high-risk nsSNPs impacts on human bone morphogenetic protein receptor type IA (BMPR1A) by computational approach.采用计算方法评估结构和功能高度风险 nsSNP 对人骨形态发生蛋白受体 IA 型(BMPR1A)的影响。
Comput Biol Chem. 2019 Jun;80:31-45. doi: 10.1016/j.compbiolchem.2019.03.004. Epub 2019 Mar 12.

引用本文的文献

1
Deciphering Deleterious nsSNPs in MUC16's SEA Domain: Structural and Functional Implications in Cancer Metastasis via Computational Analysis.通过计算分析破译MUC16 SEA结构域中的有害错义单核苷酸多态性:对癌症转移的结构和功能影响
J Cell Mol Med. 2025 Jun;29(11):e70633. doi: 10.1111/jcmm.70633.
2
Prediction the functional impacts of highly deleterious non-synonymous variants of  gene.预测基因高度有害非同义变体的功能影响。
Mol Biol Res Commun. 2025;14(1):47-58. doi: 10.22099/mbrc.2024.49991.1977.
3
Pathogenic single nucleotide polymorphisms in RhoA gene: Insights into structural and functional impacts on RhoA-PLD1 interaction through molecular dynamics simulation.

本文引用的文献

1
Functional characterization of CHEK2 variants in a Saccharomyces cerevisiae system.在酿酒酵母系统中对 CHEK2 变体进行功能表征。
Hum Mutat. 2019 May;40(5):631-648. doi: 10.1002/humu.23728. Epub 2019 Mar 9.
2
Integrative data fusion for comprehensive assessment of a novel CHEK2 variant using combined genomics, imaging, and functional-structural assessments via protein informatics.利用蛋白质信息学,通过基因组学、影像学和功能结构评估的综合分析,对新型 CHEK2 变异体进行综合评估的综合数据融合。
Mol Omics. 2019 Feb 11;15(1):59-66. doi: 10.1039/c8mo00137e.
3
Computational analysis for the determination of deleterious nsSNPs in human MTHFR gene.
RhoA基因中的致病性单核苷酸多态性:通过分子动力学模拟深入了解对RhoA-PLD1相互作用的结构和功能影响
Curr Res Struct Biol. 2024 Nov 28;8:100159. doi: 10.1016/j.crstbi.2024.100159. eCollection 2024.
4
Understanding genetic variations associated with familial breast cancer.理解与家族性乳腺癌相关的遗传变异。
World J Surg Oncol. 2024 Oct 10;22(1):271. doi: 10.1186/s12957-024-03553-9.
5
Exploring alternative approaches to precision medicine through genomics and artificial intelligence - a systematic review.通过基因组学和人工智能探索精准医学的替代方法——一项系统综述
Front Med (Lausanne). 2023 Oct 2;10:1227168. doi: 10.3389/fmed.2023.1227168. eCollection 2023.
6
Exploring the Structural and Functional Effects of Nonsynonymous SNPs in the Human Serotonin Transporter Gene Through Approaches.通过多种方法探索人类血清素转运体基因中非同义单核苷酸多态性的结构和功能影响。
Bioinform Biol Insights. 2022 Jun 9;16:11779322221104308. doi: 10.1177/11779322221104308. eCollection 2022.
7
Comprehensive Characterization of the Coding and Non-Coding Single Nucleotide Polymorphisms in the Tumor Protein p63 (TP63) Gene Using In Silico Tools.利用计算机工具对肿瘤蛋白 p63(TP63)基因的编码和非编码单核苷酸多态性进行全面分析。
Biomolecules. 2021 Nov 20;11(11):1733. doi: 10.3390/biom11111733.
8
A computational in silico approach to predict high-risk coding and non-coding SNPs of human PLCG1 gene.一种计算计算方法,用于预测人类 PLCG1 基因的高风险编码和非编码 SNPs。
PLoS One. 2021 Nov 18;16(11):e0260054. doi: 10.1371/journal.pone.0260054. eCollection 2021.
9
Pathogenic nsSNPs that increase the risks of cancers among the Orang Asli and Malays.导致奥朗阿斯利人和马来人癌症风险增加的致病性 nsSNP。
Sci Rep. 2021 Aug 9;11(1):16158. doi: 10.1038/s41598-021-95618-y.
计算分析人类 MTHFR 基因中有害的非同义单核苷酸多态性(nsSNP)。
Comput Biol Chem. 2018 Jun;74:20-30. doi: 10.1016/j.compbiolchem.2018.02.022. Epub 2018 Feb 27.
4
Computational analysis for the determination of deleterious nsSNPs in human MTHFD1 gene.用于确定人类MTHFD1基因中有害非同义单核苷酸多态性的计算分析。
Comput Biol Chem. 2017 Oct;70:7-14. doi: 10.1016/j.compbiolchem.2017.07.001. Epub 2017 Jul 11.
5
An association study between CHEK2 gene mutations and susceptibility to breast cancer.CHEK2基因突变与乳腺癌易感性的关联研究。
Comp Clin Path. 2017;26(4):837-845. doi: 10.1007/s00580-017-2455-x. Epub 2017 Apr 8.
6
Current perspectives on CHEK2 mutations in breast cancer.乳腺癌中CHEK2突变的当前观点
Breast Cancer (Dove Med Press). 2017 May 12;9:331-335. doi: 10.2147/BCTT.S111394. eCollection 2017.
7
Male breast cancer in a multi-gene panel testing cohort: insights and unexpected results.多基因检测队列中的男性乳腺癌:见解与意外结果
Breast Cancer Res Treat. 2017 Feb;161(3):575-586. doi: 10.1007/s10549-016-4085-4. Epub 2016 Dec 22.
8
The ExAC browser: displaying reference data information from over 60 000 exomes.ExAC浏览器:展示来自6万多个外显子组的参考数据信息。
Nucleic Acids Res. 2017 Jan 4;45(D1):D840-D845. doi: 10.1093/nar/gkw971. Epub 2016 Nov 28.
9
Age- and Tumor Subtype-Specific Breast Cancer Risk Estimates for CHEK2*1100delC Carriers.CHEK2*1100delC携带者的年龄和肿瘤亚型特异性乳腺癌风险估计
J Clin Oncol. 2016 Aug 10;34(23):2750-60. doi: 10.1200/JCO.2016.66.5844. Epub 2016 Jun 6.
10
PANTHER-PSEP: predicting disease-causing genetic variants using position-specific evolutionary preservation.PANTHER-PSEP:利用位置特异性进化保守性预测致病基因变异
Bioinformatics. 2016 Jul 15;32(14):2230-2. doi: 10.1093/bioinformatics/btw222. Epub 2016 May 18.