{"title":"Functional and structural analysis of mice TRPC6 with human analogue through homology modelling.","authors":"Soumya Chigurupati, Arnima Bhasin, Krishna Kishore Inampudi, Swapna Asuthkar, Bhanupriya Madarampalli, Ramana Kumar Kammili, Kiran Kumar Velpula","doi":"10.1504/IJBRA.2014.059536","DOIUrl":null,"url":null,"abstract":"<p><p>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. </p>","PeriodicalId":35444,"journal":{"name":"International Journal of Bioinformatics Research and Applications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJBRA.2014.059536","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Bioinformatics Research and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJBRA.2014.059536","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Health Professions","Score":null,"Total":0}
引用次数: 1
Abstract
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.
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.