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Semantic Analysis of Posttranslational Modification of Proteins Accumulated in Thyroid Cancer Cells Exposed to Simulated Microgravity

机译:模拟微重力作用下甲状腺癌细胞中蛋白质积累的翻译后修饰的语义分析

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摘要

When monolayers of tissue cancer cells of various origins are exposed to real or simulated microgravity, many cells leave the monolayer and assemble to three-dimensional (3D) aggregates (spheroids). In order to define the cellular machinery leading to this change in growth behavior of FTC-133 human thyroid cancer cells and MCF-7 breast cancer cells, we recently performed proteome analyses on these cell lines and determined the proteins’ accumulation in monolayer cells grown under 1g-conditions as well as in the cells of spheroids assembled under simulated microgravity during three and 14 days, respectively. At that time, an influence of the increment or decrement of some of the more than 5000 proteins detected in each cell line was investigated. In this study, we focused on posttranslational modifications (PTMs) of proteins. For this purpose, we selected candidates from the list of the proteins detected in the two preceding proteome analyses, which showed significant accumulation in spheroid cells as compared to 1g monolayer cells. Then we searched for those PTMs of the selected proteins, which according to the literature have already been determined experimentally. Using the Semantic Protocol and RDF Query Language (SPARQL), various databases were examined. Most efficient was the search in the latest version of the dbPTM database. In total, we found 72 different classes of PTMs comprising mainly phosphorylation, glycosylation, ubiquitination and acetylation. Most interestingly, in 35 of the 69 proteins, N6 residues of lysine are modifiable.
机译:当各种来源的组织癌细胞单层暴露于真实或模拟的微重力下时,许多细胞会离开单层并组装成三维(3D)聚集体(类球体)。为了确定导致FTC-133人甲状腺癌细胞和MCF-7乳腺癌细胞生长行为发生这种变化的细胞机制,我们最近在这些细胞系上进行了蛋白质组分析,并确定了在以下条件下生长的单层细胞中蛋白质的积累1 g条件以及在模拟微重力下分别组装3天和14天的球状体细胞。当时,研究了每种细胞系中检测到的5000多种蛋白质中某些蛋白质的增减影响。在这项研究中,我们专注于蛋白质的翻译后修饰(PTM)。为此,我们从前两次蛋白质组分析中检测到的蛋白质列表中选择了候选蛋白,与1g单层细胞相比,它们在球状细胞中显示出明显的积累。然后,我们搜索了所选蛋白质的那些PTM,根据文献已通过实验确定了这些PTM。使用语义协议和RDF查询语言(SPARQL),检查了各种数据库。最有效的是在最新版本的dbPTM数据库中进行搜索。总共,我们发现了72种不同类别的PTM,主要包括磷酸化,糖基化,泛素化和乙酰化。最有趣的是,在69种蛋白质中的35种中,赖氨酸的N6残基是可修饰的。

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