通过同源性建模分析小鼠TRPC6与人相似物的功能和结构。

Q4 Health Professions
Soumya Chigurupati, Arnima Bhasin, Krishna Kishore Inampudi, Swapna Asuthkar, Bhanupriya Madarampalli, Ramana Kumar Kammili, Kiran Kumar Velpula
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引用次数: 1

摘要

在生物医学研究中,同源模型越来越多地用于确定基因和蛋白质的结构和功能关系。在本研究中,我们首次比较了小鼠和人的TRPC6基因。该基因编码的蛋白在细胞膜上形成受体激活的钙通道。该基因的缺陷与包括胶质母细胞瘤在内的多种疾病有关。为了确定小鼠和人类TRPC6的结构相似性,我们使用折叠预测等标准生物信息学工具鉴定蛋白质3D结构,序列-结构比较,模板和蛋白质结构预测。我们还利用胶质母细胞瘤细胞系U373MG和人类胶质母细胞瘤肿瘤组织来研究TRPC6在疾病状态下的表达,以揭示该基因与病理性疾病的关系。结果表明,人类TRPC6与小鼠TRPC6具有90%的同源性和93%的相似性,表明该蛋白在这两个物种中具有良好的保守性。这些同种异构体可能在调节基因表达方面表现出相似的机制;因此,在小鼠中的TRPC6研究可以外推到人类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Functional and structural analysis of mice TRPC6 with human analogue through homology modelling.

Homology models are increasingly used to determine structural and functional relationships of genes and proteins in biomedical research. In the current study, for the first time, we compared the TRPC6 gene in mouse and human. The protein encoded by this gene forms a receptor activated calcium channel in cell membrane. Defects in this gene have been implicated in a wide range of diseases including glioblastomas. To determine the structural similarities in mouse and human TRPC6, we used standard bioinformatics tools such as fold prediction to identify the protein 3D structure, sequence-structure comparison, and prediction of template and protein structure. We also used glioblastoma cell line U373MG and human glioblastoma tumour tissues to study the expression of TRPC6 in disease conditions to implicate this gene in pathological ailment. Based on the results we conclude that human TRPC6 contains 90% identity and 93% similarity with mouse TRPC6, suggesting that this protein is well conserved in these two species. These isoforms likely demonstrate similar mechanisms in regulating gene expression; thus TRPC6 studies in mice may be extrapolated to humans.

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来源期刊
International Journal of Bioinformatics Research and Applications
International Journal of Bioinformatics Research and Applications Health Professions-Health Information Management
CiteScore
0.60
自引率
0.00%
发文量
26
期刊介绍: Bioinformatics is an interdisciplinary research field that combines biology, computer science, mathematics and statistics into a broad-based field that will have profound impacts on all fields of biology. The emphasis of IJBRA is on basic bioinformatics research methods, tool development, performance evaluation and their applications in biology. IJBRA addresses the most innovative developments, research issues and solutions in bioinformatics and computational biology and their applications. Topics covered include Databases, bio-grid, system biology Biomedical image processing, modelling and simulation Bio-ontology and data mining, DNA assembly, clustering, mapping Computational genomics/proteomics Silico technology: computational intelligence, high performance computing E-health, telemedicine Gene expression, microarrays, identification, annotation Genetic algorithms, fuzzy logic, neural networks, data visualisation Hidden Markov models, machine learning, support vector machines Molecular evolution, phylogeny, modelling, simulation, sequence analysis Parallel algorithms/architectures, computational structural biology Phylogeny reconstruction algorithms, physiome, protein structure prediction Sequence assembly, search, alignment Signalling/computational biomedical data engineering Simulated annealing, statistical analysis, stochastic grammars.
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