• 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

人类管家和组织特异性蛋白质相互作用网络中多和单界面枢纽之间的进化率异质性:来自蛋白质及其伴侣性质的见解。

Evolutionary rate heterogeneity between multi- and single-interface hubs across human housekeeping and tissue-specific protein interaction network: Insights from proteins' and its partners' properties.

机构信息

Bioinformatics Centre, Bose Institute, P-1/12, C.I.T. Scheme VII M, Kolkata 700 054, India.

Bioinformatics Centre, Bose Institute, P-1/12, C.I.T. Scheme VII M, Kolkata 700 054, India; Department of Microbiology, Raiganj University, Raiganj, Uttar Dinajpur 733134, India.

出版信息

Genomics. 2018 Sep;110(5):283-290. doi: 10.1016/j.ygeno.2017.11.006. Epub 2017 Dec 2.

DOI:10.1016/j.ygeno.2017.11.006
PMID:29198610
Abstract

Integrating gene expression into protein-protein interaction network (PPIN) leads to the construction of tissue-specific (TS) and housekeeping (HK) sub-networks, with distinctive TS- and HK-hubs. All such hub proteins are divided into multi-interface (MI) hubs and single-interface (SI) hubs, where MI hubs evolve slower than SI hubs. Here we explored the evolutionary rate difference between MI and SI proteins within TS- and HK-PPIN and observed that this difference is present only in TS, but not in HK-class. Next, we explored whether proteins' own properties or its partners' properties are more influential in such evolutionary discrepancy. Statistical analyses revealed that this evolutionary rate correlates negatively with protein's own properties like expression level, miRNA count, conformational diversity and functional properties and with its partners' properties like protein disorder and tissue expression similarity. Moreover, partial correlation and regression analysis revealed that both proteins' and its partners' properties have independent effects on protein evolutionary rate.

摘要

将基因表达纳入蛋白质-蛋白质相互作用网络(PPIN)中,可构建组织特异性(TS)和管家(HK)子网,具有独特的 TS 和 HK 枢纽。所有这些枢纽蛋白都分为多接口(MI)枢纽和单接口(SI)枢纽,其中 MI 枢纽的进化速度比 SI 枢纽慢。在这里,我们探索了 TS 和 HK-PPIN 中 MI 和 SI 蛋白之间的进化率差异,结果表明这种差异仅存在于 TS 中,而不存在于 HK 类中。接下来,我们探讨了蛋白质自身的特性或其伴侣的特性在这种进化差异中哪个更具影响力。统计分析表明,这种进化率与蛋白质自身的特性(如表达水平、miRNA 计数、构象多样性和功能特性)及其伴侣的特性(如蛋白质无序性和组织表达相似性)呈负相关。此外,偏相关和回归分析表明,蛋白质及其伴侣的特性对蛋白质进化率都有独立的影响。

相似文献

1
Evolutionary rate heterogeneity between multi- and single-interface hubs across human housekeeping and tissue-specific protein interaction network: Insights from proteins' and its partners' properties.人类管家和组织特异性蛋白质相互作用网络中多和单界面枢纽之间的进化率异质性:来自蛋白质及其伴侣性质的见解。
Genomics. 2018 Sep;110(5):283-290. doi: 10.1016/j.ygeno.2017.11.006. Epub 2017 Dec 2.
2
Comparative analysis of housekeeping and tissue-specific driver nodes in human protein interaction networks.人类蛋白质相互作用网络中管家基因和组织特异性驱动节点的比较分析。
BMC Bioinformatics. 2016 Sep 9;17(1):358. doi: 10.1186/s12859-016-1233-0.
3
Global versus local hubs in human protein-protein interaction network.人类蛋白质-蛋白质相互作用网络中的全局枢纽与局部枢纽。
J Proteome Res. 2013 Dec 6;12(12):5436-46. doi: 10.1021/pr4002788. Epub 2013 Oct 15.
4
Multifunctionality dominantly determines the rate of human housekeeping and tissue specific interacting protein evolution.多功能性在很大程度上决定了人类管家蛋白和组织特异性相互作用蛋白的进化速率。
Gene. 2009 Jun 15;439(1-2):11-6. doi: 10.1016/j.gene.2009.03.005. Epub 2009 Mar 20.
5
Interaction and localization diversities of global and local hubs in human protein-protein interaction networks.人类蛋白质-蛋白质相互作用网络中全局和局部枢纽的相互作用及定位多样性
Mol Biosyst. 2016 Aug 16;12(9):2875-82. doi: 10.1039/c6mb00104a.
6
Predicting the binding patterns of hub proteins: a study using yeast protein interaction networks.预测枢纽蛋白的结合模式:使用酵母蛋白相互作用网络进行的研究。
PLoS One. 2013;8(2):e56833. doi: 10.1371/journal.pone.0056833. Epub 2013 Feb 19.
7
Correlation of genomic features with dynamic modularity in the yeast interactome: a view from the structural perspective.基因组特征与酵母互作组动态模块性的相关性:结构视角。
IEEE Trans Nanobioscience. 2012 Sep;11(3):244-50. doi: 10.1109/TNB.2012.2212720.
8
Differential variation patterns between hubs and bottlenecks in human protein-protein interaction networks.人类蛋白质-蛋白质相互作用网络中枢纽节点与瓶颈节点之间的差异变化模式。
BMC Evol Biol. 2016 Dec 1;16(1):260. doi: 10.1186/s12862-016-0840-8.
9
Co-expression and co-localization of hub proteins and their partners are encoded in protein sequence.枢纽蛋白及其伙伴的共表达和共定位编码在蛋白质序列中。
Mol Biosyst. 2014 Apr;10(4):787-94. doi: 10.1039/c3mb70411d. Epub 2014 Jan 23.
10
Dynamic hubs show competitive and static hubs non-competitive regulation of their interaction partners.动态枢纽显示出与其相互作用伙伴的竞争调节,而静态枢纽则显示出非竞争调节。
PLoS One. 2012;7(10):e48209. doi: 10.1371/journal.pone.0048209. Epub 2012 Oct 31.

引用本文的文献

1
Cell Compartment is a Predictor of Protein Rate of Evolution, but not in the Manner Expected: Evidence Against the Extended Complexity Hypothesis.细胞区室是蛋白质进化速率的一个预测指标,但并非以预期的方式:反对扩展复杂性假说的证据
Genome Biol Evol. 2025 Jul 3;17(7). doi: 10.1093/gbe/evaf126.
2
Resolving the current controversy of use and reuse of housekeeping proteins in ageing research: Focus on saving people's tax dollars.解决当前老化研究中管家蛋白使用和再利用的争议:重点是节省纳税人的钱。
Ageing Res Rev. 2024 Sep;100:102437. doi: 10.1016/j.arr.2024.102437. Epub 2024 Jul 25.
3
Dependency Between Protein-Protein Interactions and Protein Variability and Evolutionary Rates in Vertebrates: Observed Relationships and Stochastic Modeling.
脊椎动物中蛋白质-蛋白质相互作用与蛋白质变异性和进化率之间的关系:观察到的关系和随机模型。
J Mol Evol. 2019 Jul;87(4-6):184-198. doi: 10.1007/s00239-019-09899-z. Epub 2019 Jul 13.
4
Integrating molecular networks with genetic variant interpretation for precision medicine.将分子网络与遗传变异解释相结合,以实现精准医疗。
Wiley Interdiscip Rev Syst Biol Med. 2019 May;11(3):e1443. doi: 10.1002/wsbm.1443. Epub 2018 Dec 12.