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The Experience of Analyzing Biological Activity of Ursodeoxycholic Acid as Part of In Silico Prediction of the Gene Expression Profile
Russian Journal of Genetics ( IF 0.6 ) Pub Date : 2020-10-09 , DOI: 10.1134/s1022795420100099
Ya. B. Neskorodov , S. G. Mardanly , R. N. Chuprov-Netochin

Abstract

This article was the first attempt to analyze the biological activity of ursodeoxycholic acid in the context of the in silico prediction of changes in activity of genes. Prediction of the dynamics of changes in gene activity was carried out using the DIGEP-Pred algorithm. The obtained gene arrays were analyzed using the GeneMANIA application. Gene annotation was obtained from The Human Protein Atlas. The results showed that the initial sample of genes is distributed according to the localization of expression into several groups: testes, cerebral cortex, placenta, and parathyroid glands. Groups of genes differed among themselves both in the number of members and in the number of relationships between them. The largest group included 25 genes. The activity of the genes of this group was localized to the testes. According to the prediction, all members of this group will be repressed after exposure to ursodeoxycholic acid. The next group consisted of 14 genes located in the cerebral cortex. Within this group, both an increase and a decrease in the activity of genes when exposed to ursodeoxycholic acid are predicted. Groups of the placenta and parathyroid glands contained relatively few genes (nine genes each) and were characterized by a low number of relationships between members. An analysis of the specialized literature revealed the effects of taking ursodeoxycholic acid, which may be associated with the changes in gene activity, which were predicted in silico. There was no unambiguous relationship between the groups of identified in silico genes and the effects described in the literature. It was revealed that 45 genes of the entire array of genes (81 genes) are prognostic markers of oncological processes.



中文翻译:

作为基因表达谱计算机模拟预测的一部分,对熊去氧胆酸的生物活性进行分析的经验

摘要

本文是在计算机模拟基因活性变化的背景下分析熊去氧胆酸的生物学活性的首次尝试。使用DIGEP-Pred算法对基因活性变化的动力学进行了预测。使用GeneMANIA应用程序分析获得的基因阵列。基因注释从The Human Protein Atlas获得。结果表明,基因的初始样本根据表达的位置分布成几组:睾丸,大脑皮层,胎盘和甲状旁腺。基因组之间在成员数和它们之间的关系数上都不同。最大的一组包括25个基因。该组基因的活性局限于睾丸。根据预测,暴露于熊去氧胆酸后,该组所有成员均会受到抑制。下一组由位于大脑皮层的14个基因组成。在这一组中,预测了暴露于熊去氧胆酸的基因活性的增加和减少。胎盘和甲状旁腺的组包含相对较少的基因(每个为9个基因),其特征是成员之间的关系数量少。对专业文献的分析揭示了服用熊去氧胆酸的作用,这可能与基因活性的变化有关,这在计算机模拟中已得到预测。在已鉴定的计算机基因组与文献中描述的作用之间没有明确的关系。

更新日期:2020-10-11
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