• 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

老鼠大脑的衰老现象是一种细胞/组织层面的现象,会因蛋白酶体丧失而加剧。

Aging in mouse brain is a cell/tissue-level phenomenon exacerbated by proteasome loss.

机构信息

Institute for Human Genetics, Charité - University Medicine Berlin, Augustenburger Platz 1, 13353 Berlin, Germany.

出版信息

J Proteome Res. 2010 Jul 2;9(7):3551-60. doi: 10.1021/pr100059j.

DOI:10.1021/pr100059j
PMID:20469937
Abstract

Biological aging is often described by its phenotypic effect on individuals. Still, its causes are more likely found on the molecular level. Biological organisms can be considered as reliability-engineered, robust systems and applying reliability theory to their basic nonaging components, proteins, could provide insight into the aging mechanism. Reliability theory suggests that aging is an obligatory trade-off in a fault-tolerant system such as the cell which is constructed based on redundancy design. Aging is the inevitable redundancy loss of functional system components, that is proteins, over time. In our study, we investigated mouse brain development, adulthood, and aging from embryonic day 10 to 100 weeks. We determined redundancy loss of different protein categories with age using reliability theory. We observed a near-linear decrease of protein redundancy during aging. Aging may therefore be a phenotypic manifestation of redundancy loss caused by nonfunctional protein accumulation. This is supported by a loss of proteasome system components faster than dictated by reliability theory. This loss is highly detrimental to biological self-renewal and seems to be a key contributor to aging and therefore could represent a major target for therapies for aging and age-related diseases.

摘要

生物衰老通常通过其对个体的表型影响来描述。然而,其原因更可能在分子水平上找到。生物有机体可以被认为是可靠性工程设计的、稳健的系统,将可靠性理论应用于其基本的非衰老组件(如蛋白质)可以深入了解衰老机制。可靠性理论表明,衰老对于细胞等容错系统来说是一种强制性的权衡,该系统是基于冗余设计构建的。衰老就是随着时间的推移,功能性系统组件(即蛋白质)的冗余逐渐丢失。在我们的研究中,我们从胚胎第 10 天到第 100 周研究了小鼠大脑的发育、成年和衰老。我们使用可靠性理论来确定不同蛋白质类别随年龄的冗余损失。我们观察到在衰老过程中蛋白质冗余呈近线性下降。因此,衰老可能是由非功能蛋白质积累引起的冗余损失的表型表现。这一观点得到了一个事实的支持,即蛋白酶体系统组件的损失速度快于可靠性理论所规定的速度。这种损失对生物自我更新非常不利,似乎是衰老的一个关键因素,因此可能是衰老和与年龄相关疾病治疗的主要靶点。

相似文献

1
Aging in mouse brain is a cell/tissue-level phenomenon exacerbated by proteasome loss.老鼠大脑的衰老现象是一种细胞/组织层面的现象,会因蛋白酶体丧失而加剧。
J Proteome Res. 2010 Jul 2;9(7):3551-60. doi: 10.1021/pr100059j.
2
Profiling of myelin proteins by 2D-gel electrophoresis and multidimensional liquid chromatography coupled to MALDI TOF-TOF mass spectrometry.通过二维凝胶电泳和多维液相色谱联用基质辅助激光解吸电离飞行时间串联质谱对髓磷脂蛋白进行分析。
J Proteome Res. 2005 Nov-Dec;4(6):2283-93. doi: 10.1021/pr050205c.
3
Age-related proteome analysis of the mouse brain: a 2-DE study.
Proteomics. 2006 Sep;6(18):4940-9. doi: 10.1002/pmic.200600084.
4
Estimation of the mtDNA mutation rate in aging mice by proteome analysis and mathematical modeling.通过蛋白质组分析和数学建模估算衰老小鼠的线粒体DNA突变率。
Exp Gerontol. 2006 Jan;41(1):11-24. doi: 10.1016/j.exger.2005.09.012. Epub 2005 Nov 22.
5
Comparative proteomic analysis of brains of naturally aging mice.自然衰老小鼠大脑的比较蛋白质组学分析
Neuroscience. 2008 Jun 26;154(3):1107-20. doi: 10.1016/j.neuroscience.2008.04.012. Epub 2008 Apr 12.
6
An integrated map of the murine hippocampal proteome based upon five mouse strains.基于五种小鼠品系构建的小鼠海马蛋白质组综合图谱。
Electrophoresis. 2006 Jul;27(13):2787-98. doi: 10.1002/elps.200500648.
7
Analysis of the mouse proteome. (I) Brain proteins: separation by two-dimensional electrophoresis and identification by mass spectrometry and genetic variation.小鼠蛋白质组分析。(I)脑蛋白:二维电泳分离、质谱鉴定及基因变异分析
Electrophoresis. 1999 Mar;20(3):575-600. doi: 10.1002/(SICI)1522-2683(19990301)20:3<575::AID-ELPS575>3.0.CO;2-3.
8
HUPO BPP pilot study: a proteomics analysis of the mouse brain of different developmental stages.人类蛋白质组组织脑蛋白质组计划试点研究:不同发育阶段小鼠脑的蛋白质组学分析
Proteomics. 2007 Nov;7(21):4008-15. doi: 10.1002/pmic.200700341.
9
Comparative proteome analysis of changes in the 26S proteasome during oocyte maturation in goldfish.金鱼卵母细胞成熟过程中26S蛋白酶体变化的比较蛋白质组分析
Proteomics. 2006 Jul;6(14):4195-202. doi: 10.1002/pmic.200600055.
10
A proteomic approach for dissecting H-Ras signaling networks in NIH/3T3 mouse embryonic fibroblast cells.一种用于剖析NIH/3T3小鼠胚胎成纤维细胞中H-Ras信号网络的蛋白质组学方法。
Proteomics. 2006 Apr;6(8):2433-43. doi: 10.1002/pmic.200500688.

引用本文的文献

1
Proteo-transcriptomic reprogramming and resource reallocation define the aging mammalian brain.蛋白质转录组重编程和资源重新分配界定了衰老的哺乳动物大脑。
bioRxiv. 2025 Aug 19:2025.08.14.669896. doi: 10.1101/2025.08.14.669896.
2
Organelle aging: Lessons from model organisms.细胞器衰老:来自模式生物的启示。
J Genet Genomics. 2019 Apr 20;46(4):171-185. doi: 10.1016/j.jgg.2019.03.011. Epub 2019 Apr 25.
3
Cognitive Effects of Cancer and Cancer Treatments.癌症与癌症治疗的认知影响。
Annu Rev Clin Psychol. 2018 May 7;14:425-451. doi: 10.1146/annurev-clinpsy-050817-084903. Epub 2018 Jan 18.
4
Opportunities and Limitations of Modelling Alzheimer's Disease with Induced Pluripotent Stem Cells.利用诱导多能干细胞模拟阿尔茨海默病的机遇与局限
J Clin Med. 2014 Dec 5;3(4):1357-72. doi: 10.3390/jcm3041357.
5
Recent advances in quantitative neuroproteomics.定量神经蛋白质组学的最新进展。
Methods. 2013 Jun 15;61(3):186-218. doi: 10.1016/j.ymeth.2013.04.008. Epub 2013 Apr 25.
6
Accurate quantification of more than 4000 mouse tissue proteins reveals minimal proteome changes during aging.准确量化 4000 多种小鼠组织蛋白,揭示衰老过程中最小的蛋白质组变化。
Mol Cell Proteomics. 2011 Feb;10(2):M110.004523. doi: 10.1074/mcp.M110.004523. Epub 2010 Nov 3.