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Sequential Fractionation Strategy Identifies Three Missing Proteins in the Mitochondrial Proteome of Commonly Used Cell Lines

机译:顺序分馏策略鉴定常用细胞系的线粒体蛋白质组中的三种缺失蛋白质

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摘要

Mitochondria are undeniably the cell powerhouse, directly affecting cell survival and fate. Growing evidence suggest that mitochondrial protein repertoire affects metabolic activity and plays an important role in determining cell proliferation/differentiation or quiescence shift. Consequently, the bioenergetic status of a cell is associated with the quality and abundance of the mitochondrial populations and proteomes. Mitochondrial morphology changes in the development of different cellular functions associated with metabolic switches. It is therefore reasonable to speculate that different cell lines do contain different mitochondrial-associated proteins, and the investigation of these pools may well represent a source for mining missing proteins (MPs). A very effective approach to increase the number of IDs through mass spectrometry consists of reducing the complexity of the biological samples by fractionation. The present study aims at investigating the mitochondrial proteome of five phenotypically different cell lines, possibly expressing some of the MPs, through an enrichment fractionation approach at the organelle and protein level. We demonstrate a substantial increase in the proteome coverage, which, in turn, increases the likelihood of detecting low abundant proteins, often falling in the category of MPs, and resulting, for the present study, in the identification of METTL12, FAM163A, and RGS13. All MS data have been deposited to the MassIVE data repository (https://massive.ucsd.edu) with the data set identifier MSV000082409 and PXD010446.
机译:线粒体是无可责任的细胞厂,直接影响细胞存活率和命运。日益增长的证据表明,线粒体蛋白质曲目会影响代谢活性,并在确定细胞增殖/分化或静态转变方面发挥重要作用。因此,细胞的生物能量状态与线粒体群体和蛋白质组的质量和丰度有关。线粒体形态在与代谢交换机相关联的不同蜂窝功能发展中的变化。因此,推测不同的细胞系含有不同的线粒体相关蛋白是合理的,并且对这些游泳池的研究可能很好地代表缺失蛋白质(MPS)的源。通过质谱增加IDS数量的非常有效的方法包括通过分馏来降低生物样品的复杂性。本研究旨在通过在细胞器和蛋白质水平的富集分馏方法来研究五种表型不同细胞系的线粒体蛋白质组。我们展示了蛋白质组覆盖率的大幅增加,这反过来又增加了检测低丰富蛋白质的可能性,通常落在MPS类别中,并导致本研究,在MetT112,FAM163A和RGS13的识别中。所有MS数据都已与数据集标识符MSV000082409和PXD010446一起存放到大规模数据存储库(HTTPS://massive.ucsd.edu)。

著录项

  • 来源
    《Journal of proteome research》 |2018年第12期|共8页
  • 作者单位

    Univ G dAnnunzio Chieti Dept Med Oral &

    Biotechnol Sci Via Vestini 31 I-66100 Chieti Italy;

    IRCCS Fdn Santa Lucia Prote &

    Metabon Unit Via Fosso Fiorano 64 I-00143 Rome Italy;

    Univ Cattolica Sacro Cuore Inst Biochem &

    Clin Biochem Lgo F Vito 1 I-00168 Rome Italy;

    Univ G dAnnunzio Chieti Dept Med Oral &

    Biotechnol Sci Via Vestini 31 I-66100 Chieti Italy;

    Univ Cattolica Sacro Cuore Inst Biochem &

    Clin Biochem Lgo F Vito 1 I-00168 Rome Italy;

    Univ Cattolica Sacro Cuore Inst Biochem &

    Clin Biochem Lgo F Vito 1 I-00168 Rome Italy;

    Univ Catania Dept Chem Sci Vle Doria 6 I-95125 Catania Italy;

    Univ Catania Dept Chem Sci Vle Doria 6 I-95125 Catania Italy;

    Univ G dAnnunzio Chieti Dept Med Oral &

    Biotechnol Sci Via Vestini 31 I-66100 Chieti Italy;

    Univ Cattolica Sacro Cuore Inst Biochem &

    Clin Biochem Lgo F Vito 1 I-00168 Rome Italy;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 分子生物学;蛋白质;
  • 关键词

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