KMID : 1204320190350010023
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Laboratory Animal Research 2019 Volume.35 No. 1 p.23 ~ p.29
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TarGo: network based target gene selection system for human disease related mouse models
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Hyung Dae-Jin
Mallon Ann-Marie Kyung Dong-Soo Cho Soo-Young Seong Je-Kyung
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Abstract
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Genetically engineered mouse models are used in high-throughput phenotyping screens to understand genotype-phenotype associations and their relevance to human diseases. However, not all mutant mouse lines with detectable phenotypes are associated with human diseases. Here, we propose the ¡°Target gene selection system for Genetically engineered mouse models¡± (TarGo). Using a combination of human disease descriptions, network topology, and genotype-phenotype correlations, novel genes that are potentially related to human diseases are suggested. We constructed a gene interaction network using protein-protein interactions, molecular pathways, and co-expression data. Several repositories for human disease signatures were used to obtain information on human disease-related genes. We calculated disease- or phenotype-specific gene ranks using network topology and disease signatures. In conclusion, TarGo provides many novel features for gene function prediction.
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KEYWORD
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Systems biology, Genetic engineered mice, Bioinformatics, PageRank algorithm, Database
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