• 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

酵母蛋白复合物核心和附属蛋白的进化速率异质性。

Evolutionary rate heterogeneity of core and attachment proteins in yeast protein complexes.

机构信息

Bioinformatics Centre, Bose Institute, Kolkata, West Bengal, India.

出版信息

Genome Biol Evol. 2013;5(7):1366-75. doi: 10.1093/gbe/evt096.

DOI:10.1093/gbe/evt096
PMID:23814130
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3730348/
Abstract

In general, proteins do not work alone; they form macromolecular complexes to play fundamental roles in diverse cellular functions. On the basis of their iterative clustering procedure and frequency of occurrence in the macromolecular complexes, the protein subunits have been categorized as core and attachment. Core protein subunits are the main functional elements, whereas attachment proteins act as modifiers or activators in protein complexes. In this article, using the current data set of yeast protein complexes, we found that core proteins are evolving at a faster rate than attachment proteins in spite of their functional importance. Interestingly, our investigation revealed that attachment proteins are present in a higher number of macromolecular complexes than core proteins. We also observed that the protein complex number (defined as the number of protein complexes in which a protein subunit belongs) has a stronger influence on gene/protein essentiality than multifunctionality. Finally, our results suggest that the observed differences in the rates of protein evolution between core and attachment proteins are due to differences in protein complex number and expression level. Moreover, we conclude that proteins which are present in higher numbers of macromolecular complexes enhance their overall expression level by increasing their transcription rate as well as translation rate, and thus the protein complex number imposes a strong selection pressure on the evolution of yeast proteome.

摘要

一般来说,蛋白质不是单独发挥作用的;它们形成大分子复合物,在多种细胞功能中发挥基本作用。基于它们的迭代聚类过程和在大分子复合物中的出现频率,蛋白质亚基被分类为核心和附属。核心蛋白亚基是主要的功能元件,而附属蛋白在蛋白质复合物中充当修饰剂或激活剂。在本文中,我们使用当前的酵母蛋白质复合物数据集发现,尽管核心蛋白具有重要的功能,但它们的进化速度比附属蛋白快。有趣的是,我们的研究表明,附属蛋白存在于更多的大分子复合物中,而不是核心蛋白。我们还观察到,蛋白质复合物数量(定义为一个蛋白质亚基所属的蛋白质复合物数量)对基因/蛋白质的必需性比对多功能性的影响更大。最后,我们的结果表明,核心蛋白和附属蛋白之间蛋白质进化速率的差异是由于蛋白质复合物数量和表达水平的差异造成的。此外,我们得出结论,存在于更多大分子复合物中的蛋白质通过增加转录率和翻译率来提高其整体表达水平,因此蛋白质复合物数量对酵母蛋白质组的进化施加了强烈的选择压力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e93c/3730348/3ad575c36e5f/evt096f7p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e93c/3730348/c78ea8c5c507/evt096f1p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e93c/3730348/0367bc17e493/evt096f2p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e93c/3730348/b00ea35b7e7f/evt096f3p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e93c/3730348/cc0c8446d2b8/evt096f4p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e93c/3730348/ebe2aa91a573/evt096f5p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e93c/3730348/5493c5cc6a00/evt096f6p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e93c/3730348/3ad575c36e5f/evt096f7p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e93c/3730348/c78ea8c5c507/evt096f1p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e93c/3730348/0367bc17e493/evt096f2p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e93c/3730348/b00ea35b7e7f/evt096f3p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e93c/3730348/cc0c8446d2b8/evt096f4p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e93c/3730348/ebe2aa91a573/evt096f5p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e93c/3730348/5493c5cc6a00/evt096f6p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e93c/3730348/3ad575c36e5f/evt096f7p.jpg

相似文献

1
Evolutionary rate heterogeneity of core and attachment proteins in yeast protein complexes.酵母蛋白复合物核心和附属蛋白的进化速率异质性。
Genome Biol Evol. 2013;5(7):1366-75. doi: 10.1093/gbe/evt096.
2
Detection of overlapping protein complexes in gene expression, phenotype and pathways of Saccharomyces cerevisiae using Prorank based Fuzzy algorithm.使用基于Prorank的模糊算法检测酿酒酵母基因表达、表型和通路中的重叠蛋白质复合物。
Gene. 2016 Apr 15;580(2):144-158. doi: 10.1016/j.gene.2016.01.016. Epub 2016 Jan 22.
3
Molecular biology. Rejoice--RNAi for yeast.分子生物学。欢呼吧——酵母的RNA干扰技术。
Science. 2009 Oct 23;326(5952):533-4. doi: 10.1126/science.1182102.
4
Proteome survey reveals modularity of the yeast cell machinery.蛋白质组研究揭示酵母细胞机制的模块化特性。
Nature. 2006 Mar 30;440(7084):631-6. doi: 10.1038/nature04532. Epub 2006 Jan 22.
5
Evolutionary rates and centrality in the yeast gene regulatory network.酵母基因调控网络中的进化速率与中心性
Genome Biol. 2009;10(4):R35. doi: 10.1186/gb-2009-10-4-r35. Epub 2009 Apr 9.
6
A high-accuracy consensus map of yeast protein complexes reveals modular nature of gene essentiality.一份高精度的酵母蛋白质复合物共识图谱揭示了基因必需性的模块化性质。
BMC Bioinformatics. 2007 Jul 2;8:236. doi: 10.1186/1471-2105-8-236.
7
On gene dosage balance in protein complexes: a comment on Semple JI, Vavouri T, Lehner B. A simple principle concerning the robustness of protein complex activity to changes in gene expression.关于蛋白质复合物中的基因剂量平衡:对森普尔·J·I、瓦武里·T、莱纳·B的评论。一个关于蛋白质复合物活性对基因表达变化的稳健性的简单原理。
BMC Syst Biol. 2009 Jan 30;3:16. doi: 10.1186/1752-0509-3-16.
8
All or nothing: protein complexes flip essentiality between distantly related eukaryotes.孤注一掷:蛋白质复合物在亲缘关系较远的真核生物之间改变必需性。
Genome Biol Evol. 2013;5(6):1049-59. doi: 10.1093/gbe/evt074.
9
Distinct mutations in yeast TAF(II)25 differentially affect the composition of TFIID and SAGA complexes as well as global gene expression patterns.酵母TAF(II)25中的不同突变对TFIID和SAGA复合物的组成以及整体基因表达模式有不同影响。
Mol Cell Biol. 2002 May;22(9):3178-93. doi: 10.1128/MCB.22.9.3178-3193.2002.
10
The yeast Mediator complex and its regulation.酵母中介体复合物及其调控
Trends Biochem Sci. 2005 May;30(5):240-4. doi: 10.1016/j.tibs.2005.03.008.

引用本文的文献

1
Link clustering explains non-central and contextually essential genes in protein interaction networks.链接聚类解释了蛋白质相互作用网络中非中心和上下文必需的基因。
Sci Rep. 2019 Aug 12;9(1):11672. doi: 10.1038/s41598-019-48273-3.
2
Systematic Analyses and Prediction of Human Drug Side Effect Associated Proteins from the Perspective of Protein Evolution.从蛋白质进化角度对人类药物副作用相关蛋白质进行系统分析与预测
Genome Biol Evol. 2017 Feb 1;9(2):337-350. doi: 10.1093/gbe/evw301.
3
Modular Organization of Residue-Level Contacts Shapes the Selection Pressure on Individual Amino Acid Sites of Ribosomal Proteins.

本文引用的文献

1
Complex-forming proteins escape the robust regulations of miRNA in human.复杂形成蛋白逃避了 miRNA 在人类中的稳健调控。
FEBS Lett. 2013 Jul 11;587(14):2284-7. doi: 10.1016/j.febslet.2013.05.062. Epub 2013 Jun 10.
2
Evolutionary rate and duplicability in the Arabidopsis thaliana protein-protein interaction network.拟南芥蛋白-蛋白相互作用网络的进化速率和可重复性。
Genome Biol Evol. 2012;4(12):1263-74. doi: 10.1093/gbe/evs101.
3
The IntAct molecular interaction database in 2012.IntAct 分子相互作用数据库,2012 年版。
残基水平接触的模块化组织塑造了核糖体蛋白中单个氨基酸位点的选择压力。
Genome Biol Evol. 2017 Apr 1;9(4):916-931. doi: 10.1093/gbe/evx036.
4
Global analysis of human duplicated genes reveals the relative importance of whole-genome duplicates originated in the early vertebrate evolution.对人类重复基因的全局分析揭示了起源于早期脊椎动物进化的全基因组重复的相对重要性。
BMC Genomics. 2016 Jan 22;17:71. doi: 10.1186/s12864-016-2392-0.
5
GECluster: a novel protein complex prediction method.GECluster:一种新型蛋白质复合物预测方法。
Biotechnol Biotechnol Equip. 2014 Jul 4;28(4):753-761. doi: 10.1080/13102818.2014.946700. Epub 2014 Oct 17.
6
Elucidating the genotype-phenotype relationships and network perturbations of human shared and specific disease genes from an evolutionary perspective.从进化角度阐明人类共享和特定疾病基因的基因型-表型关系及网络扰动。
Genome Biol Evol. 2014 Oct 5;6(10):2741-53. doi: 10.1093/gbe/evu220.
Nucleic Acids Res. 2012 Jan;40(Database issue):D841-6. doi: 10.1093/nar/gkr1088. Epub 2011 Nov 24.
4
Saccharomyces Genome Database: the genomics resource of budding yeast.酿酒酵母基因组数据库:芽殖酵母的基因组资源。
Nucleic Acids Res. 2012 Jan;40(Database issue):D700-5. doi: 10.1093/nar/gkr1029. Epub 2011 Nov 21.
5
MINT, the molecular interaction database: 2012 update.MINT,分子相互作用数据库:2012 年更新。
Nucleic Acids Res. 2012 Jan;40(Database issue):D857-61. doi: 10.1093/nar/gkr930. Epub 2011 Nov 16.
6
KEGG for integration and interpretation of large-scale molecular data sets.KEGG 用于整合和解释大规模分子数据集。
Nucleic Acids Res. 2012 Jan;40(Database issue):D109-14. doi: 10.1093/nar/gkr988. Epub 2011 Nov 10.
7
OGEE: an online gene essentiality database.OGEE:一个在线基因必需性数据库。
Nucleic Acids Res. 2012 Jan;40(Database issue):D901-6. doi: 10.1093/nar/gkr986. Epub 2011 Nov 10.
8
Factors that contribute to variation in evolutionary rate among Arabidopsis genes.导致拟南芥基因进化速率变化的因素。
Mol Biol Evol. 2011 Aug;28(8):2359-69. doi: 10.1093/molbev/msr058. Epub 2011 Mar 9.
9
GOChase-II: correcting semantic inconsistencies from Gene Ontology-based annotations for gene products.GOChase-II:纠正基于基因本体论注释的基因产物中的语义不一致性。
BMC Bioinformatics. 2011 Feb 15;12 Suppl 1(Suppl 1):S40. doi: 10.1186/1471-2105-12-S1-S40.
10
Dynamic transcriptome analysis measures rates of mRNA synthesis and decay in yeast.动态转录组分析测量酵母中转录物合成和降解的速率。
Mol Syst Biol. 2011 Jan 4;7:458. doi: 10.1038/msb.2010.112.