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致癌生物中的分子融合事件:一项用于检测病毒、细菌和真核生物之间融合蛋白的生物信息学研究。

Molecular fusion events in carcinogenic organisms: a bioinformatics study for the detection of fused proteins between viruses, bacteria and eukaryotes.

作者信息

Papakonstantinou Eleni, Io Diakou Kalliopi, Mitsis Thanasis, Dragoumani Konstantina, Bacopoulou Flora, Megalooikonomou Vasilis, Kossida Sophia, Chrousos George P, Vlachakis Dimitrios

机构信息

Laboratory of Genetics, Department of Biotechnology, School of Applied Biology and Biotechnology, Agricultural University of Athens, Athens, Greece.

University Research Institute of Maternal and Child Health & Precision Medicine, and UNESCO Chair on Adolescent Health Care, National and Kapodistrian University of Athens, "Aghia Sophia" Children's Hospital, Athens, Greece.

出版信息

EMBnet J. 2022 Apr;27. doi: 10.14806/ej.27.0.1004. Epub 2022 Apr 4.

Abstract

Molecular fusion events have a prominent role in the initial steps of carcinogenesis. In this study, a bioinformatics analysis was performed between four organisms that are known to induce cancer development in humans: two viruses, , and , one bacterium, , and one trematode, . The annotated proteomes from these organisms were analysed using the SAFE software to identify protein fusion events, which may provide insight into protein function similarities and possible merging events during the course of evolution. Based on the results, five fused proteins with very similar functions were detected, whereas proteins with different functions that might act in the same molecular complex or biochemical pathway were not found. Thus, this study analysed the above four well-known cancer-related organisms with bioinformatics programs and provided useful information on protein fusion events, hopefully leading to deeper understanding of carcinogenenesis.

摘要

分子融合事件在致癌作用的初始阶段起着重要作用。在本研究中,对四种已知可诱发人类癌症的生物体进行了生物信息学分析:两种病毒,即 和 ,一种细菌,即 ,以及一种吸虫,即 。使用SAFE软件分析了这些生物体的注释蛋白质组,以识别蛋白质融合事件,这可能有助于深入了解蛋白质功能的相似性以及进化过程中可能的合并事件。基于结果,检测到了五种功能非常相似的融合蛋白,而未发现可能作用于同一分子复合物或生化途径的具有不同功能的蛋白质。因此,本研究利用生物信息学程序分析了上述四种与癌症相关的知名生物体,并提供了有关蛋白质融合事件的有用信息,有望有助于更深入地理解致癌作用。

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本文引用的文献

1
Screening and eradication of for gastric cancer prevention: the Taipei global consensus.
Gut. 2020 Dec;69(12):2093-2112. doi: 10.1136/gutjnl-2020-322368. Epub 2020 Oct 1.
2
The Interaction of Glutathione Transferase with Cibacron Blue 3GA and its Fragments.
Med Chem. 2021;17(4):332-343. doi: 10.2174/1573406416666200403074742.
3
ChimerDB 4.0: an updated and expanded database of fusion genes.
Nucleic Acids Res. 2020 Jan 8;48(D1):D817-D824. doi: 10.1093/nar/gkz1013.
5
Efficacy and Long-Term Safety of Eradication for Gastric Cancer Prevention.
Cancers (Basel). 2019 Apr 28;11(5):593. doi: 10.3390/cancers11050593.
6
Identification of recurrent fusion genes across multiple cancer types.
Sci Rep. 2019 Jan 31;9(1):1074. doi: 10.1038/s41598-019-38550-6.
7
Epstein-Barr virus strain variation and cancer.
Cancer Sci. 2019 Apr;110(4):1132-1139. doi: 10.1111/cas.13954. Epub 2019 Feb 21.
9
FusionHub: A unified web platform for annotation and visualization of gene fusion events in human cancer.
PLoS One. 2018 May 1;13(5):e0196588. doi: 10.1371/journal.pone.0196588. eCollection 2018.

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