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Combining small molecules for cell reprogramming through an interatomic analysis

机译:结合小分子通过原子间分析进行细胞重编程

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摘要

The knowledge available about the application and generation of induced pluripotent stem cells (iPSC) has grown since their discovery, and new techniques to enhance the reprogramming process have been described. Among the new approaches to induce iPSC that have gained great attention is the use of small molecules for reprogramming. The application of small molecules, unlike genetic manipulation, provides for control of the reprogramming process through the shifting of concentrations and the combination of different molecules. However, different researchers have reported the use of "reprogramming cocktails" with variable results and drug combinations. Thus, the proper combination of small molecules for successful and enhanced reprogramming is a matter for discussion. However, testing all potential drug combinations in different cell lineages is very costly and time-consuming. Therefore, in this article, we discuss the use of already employed molecules for iPSC generation, followed by the application of systems chemo-biology tools to create different data sets of protein-protein (PPI) and chemical-protein (CPI) interaction networks based on the knowledge of already used and new reprogramming cocktail combinations. We further analyzed the biological processes associated with PPI-CPI networks and provided new potential protein targets to be inhibited or expressed for stem cell reprogramming. In addition, we applied a new interference analysis to prospective targets that could negatively affect the classical pluripotency-associated factors (SOX2, NANOG, KLF4 and OCT4) and thus potentially improve reprogramming protocols.
机译:自从发现和诱导多能干细胞(iPSC)的应用和生成以来,已有的知识不断增长,并且已经描述了增强重编程过程的新技术。在引起iPSC的新方法中,受到广泛关注的是使用小分子进行重编程。与遗传操作不同,小分子分子的应用可以通过改变浓度和组合不同分子来控制重编程过程。但是,不同的研究人员报告说,使用“重新编程鸡尾酒”具有可变的结果和药物组合。因此,小分子的正确结合以成功和增强重编程是一个有待讨论的问题。但是,在不同细胞谱系中测试所有潜在的药物组合非常昂贵且耗时。因此,在本文中,我们将讨论已使用的分子用于iPSC生成的方法,然后应用系统化学生物学工具创建基于蛋白质-蛋白质(PPI)和化学-蛋白质(CPI)相互作用网络的不同数据集关于已经使用和重新编程的鸡尾酒组合的知识。我们进一步分析了与PPI-CPI网络相关的生物学过程,并提供了可能被抑制或表达的干细胞重编程新蛋白靶标。此外,我们将新的干扰分析应用于可能会对经典多能性相关因素(SOX2,NANOG,KLF4和OCT4)产生负面影响的预期目标,从而有可能改善重编程协议。

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  • 来源
    《Molecular BioSystems》 |2013年第11期|2741-2763|共23页
  • 作者单位

    Centro de Biotecnologia da Vnivenidade Federal do Rio Grande do Sul, Departamento de Biologia Molecular e Biotecnologia, Universidade Federal do Rio Grande do Sul, Avenida Bento Goncalves 9500 - Predio 43421 - Sala 219, Porto Alegre, Caixa Postal 15005, RS - Brazil;

    Centro de Biotecnologia da Vnivenidade Federal do Rio Grande do Sul, Departamento de Biologia Molecular e Biotecnologia, Universidade Federal do Rio Grande do Sul, Avenida Bento Goncalves 9500 - Predio 43421 - Sala 219, Porto Alegre, Caixa Postal 15005, RS - Brazil;

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