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本文引用的文献

1
Proteomic analysis and functional characterization of mouse brain mitochondria during aging reveal alterations in energy metabolism.衰老过程中小鼠脑线粒体的蛋白质组学分析和功能表征揭示了能量代谢的变化。
Proteomics. 2015 May;15(9):1574-86. doi: 10.1002/pmic.201400277. Epub 2015 Feb 10.
2
Proteomic analysis of the mitochondria from embryonic and postnatal rat brains reveals response to developmental changes in energy demands.对胚胎期和出生后大鼠大脑线粒体进行蛋白质组学分析,揭示了其对能量需求发育变化的反应。
J Proteomics. 2014 Sep 23;109:228-39. doi: 10.1016/j.jprot.2014.07.011. Epub 2014 Jul 18.
3
Quantitative proteomics of synaptic and nonsynaptic mitochondria: insights for synaptic mitochondrial vulnerability.突触和非突触线粒体的定量蛋白质组学:对突触线粒体易损性的见解
J Proteome Res. 2014 May 2;13(5):2620-36. doi: 10.1021/pr500295n. Epub 2014 Apr 22.
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The PRoteomics IDEntifications (PRIDE) database and associated tools: status in 2013.PRIDE 数据库及相关工具:2013 年的现状。
Nucleic Acids Res. 2013 Jan;41(Database issue):D1063-9. doi: 10.1093/nar/gks1262. Epub 2012 Nov 29.
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Universal sample preparation method for proteome analysis.蛋白质组分析的通用样本制备方法。
Nat Methods. 2009 May;6(5):359-62. doi: 10.1038/nmeth.1322. Epub 2009 Apr 19.
6
Cytoscape: a software environment for integrated models of biomolecular interaction networks.Cytoscape:用于生物分子相互作用网络集成模型的软件环境。
Genome Res. 2003 Nov;13(11):2498-504. doi: 10.1101/gr.1239303.
7
STRING: a web-server to retrieve and display the repeatedly occurring neighbourhood of a gene.STRING:一个用于检索和显示基因反复出现的相邻区域的网络服务器。
Nucleic Acids Res. 2000 Sep 15;28(18):3442-4. doi: 10.1093/nar/28.18.3442.
8
Measurement of protein by spectrophotometry at 205 nm.通过在205nm处进行分光光度法测定蛋白质。
Anal Biochem. 1974 May;59(1):277-82. doi: 10.1016/0003-2697(74)90034-7.

衰老小鼠大脑中线粒体蛋白质组改变的数据。

Data for mitochondrial proteomic alterations in the aging mouse brain.

作者信息

Stauch Kelly L, Purnell Phillip R, Villeneuve Lance M, Fox Howard S

机构信息

Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE 68198, USA.

出版信息

Data Brief. 2015 May 21;4:127-9. doi: 10.1016/j.dib.2015.05.004. eCollection 2015 Sep.

DOI:10.1016/j.dib.2015.05.004
PMID:26217775
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4510433/
Abstract

Mitochondria are dynamic organelles critical for many cellular processes, including energy generation. Thus, mitochondrial dysfunction likely plays a role in the observed alterations in brain glucose metabolism during aging. Despite implications of mitochondrial alterations during brain aging, comprehensive quantitative proteomic studies remain limited. Therefore, to characterize the global age-associated mitochondrial proteomic changes in the brain, we analyzed mitochondria isolated from the brain of 5-, 12-, and 24-month old mice using quantitative mass spectrometry. We identified changes in the expression of proteins important for biological processes involved in the generation of precursor metabolites and energy through the breakdown of carbohydrates, lipids, and proteins. These results are significant because we identified age-associated proteomic changes suggestive of altered mitochondrial catabolic reactions during brain aging. The proteomic data described here can be found in the PRIDE Archive using the reference number PXD001370. A more comprehensive analysis of this data may be obtained from the article "Proteomic analysis and functional characterization of mouse brain mitochondria during aging reveal alterations in energy metabolism" in PROTEOMICS.

摘要

线粒体是对包括能量产生在内的许多细胞过程至关重要的动态细胞器。因此,线粒体功能障碍可能在衰老过程中观察到的脑葡萄糖代谢改变中起作用。尽管脑衰老过程中线粒体改变有诸多影响,但全面的定量蛋白质组学研究仍然有限。因此,为了表征大脑中与年龄相关的线粒体蛋白质组学全局变化,我们使用定量质谱分析了从5个月、12个月和24个月大的小鼠大脑中分离出的线粒体。我们确定了参与通过碳水化合物、脂质和蛋白质分解产生前体代谢物和能量的生物过程的重要蛋白质表达变化。这些结果意义重大,因为我们确定了与年龄相关的蛋白质组学变化,提示脑衰老过程中线粒体分解代谢反应发生改变。此处描述的蛋白质组学数据可在PRIDE Archive中使用参考编号PXD001370找到。对这些数据更全面的分析可从《蛋白质组学》杂志上的文章《衰老过程中小鼠脑线粒体的蛋白质组学分析和功能表征揭示能量代谢改变》中获得。