Gene Expression Variability in Human Hepatic Drug Metabolizing Enzymes and Transporters
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{"title"=>"Gene Expression Variability in Human Hepatic Drug Metabolizing Enzymes and Transporters", "type"=>"journal", "authors"=>[{"first_name"=>"Lun", "last_name"=>"Yang"}, {"first_name"=>"Elvin T.", "last_name"=>"Price"}, {"first_name"=>"Ching-Wei", "last_name"=>"Chang"}, {"first_name"=>"Yan", "last_name"=>"Li"}, {"first_name"=>"Ying", "last_name"=>"Huang"}, {"first_name"=>"Li-Wu", "last_name"=>"Guo"}, {"first_name"=>"Yongli", "last_name"=>"Guo"}, {"first_name"=>"Jim", "last_name"=>"Kaput"}, {"first_name"=>"Leming", "last_name"=>"Shi"}, {"first_name"=>"Baitang", "last_name"=>"Ning"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"1932-6203", "pmid"=>"23637747", "isbn"=>"1932-6203 (Electronic)\r1932-6203 (Linking)", "doi"=>"10.1371/journal.pone.0060368"}, "id"=>"3498800d-46b8-3931-b711-ba3ba19eb2dc", "abstract"=>"Interindividual variability in the expression of drug-metabolizing enzymes and transporters (DMETs) in human liver may contribute to interindividual differences in drug efficacy and adverse reactions. Published studies that analyzed variability in the expression of DMET genes were limited by sample sizes and the number of genes profiled. We systematically analyzed the expression of 374 DMETs from a microarray data set consisting of gene expression profiles derived from 427 human liver samples. The standard deviation of interindividual expression for DMET genes was much higher than that for non-DMET genes. The 20 DMET genes with the largest variability in the expression provided examples of the interindividual variation. Gene expression data were also analyzed using network analysis methods, which delineates the similarities of biological functionalities and regulation mechanisms for these highly variable DMET genes. Expression variability of human hepatic DMET genes may affect drug-gene interactions and disease susceptibility, with concomitant clinical implications.", "link"=>"http://www.mendeley.com/research/gene-expression-variability-human-hepatic-drug-metabolizing-enzymes-transporters-2", "reader_count"=>30, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>2, "Researcher"=>5, "Student > Ph. D. Student"=>11, "Student > Postgraduate"=>1, "Other"=>6, "Student > Master"=>3, "Student > Bachelor"=>1, "Professor"=>1}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>2, "Researcher"=>5, "Student > Ph. D. Student"=>11, "Student > Postgraduate"=>1, "Other"=>6, "Student > Master"=>3, "Student > Bachelor"=>1, "Professor"=>1}, "reader_count_by_subject_area"=>{"Engineering"=>2, "Biochemistry, Genetics and Molecular Biology"=>1, "Medicine and Dentistry"=>7, "Agricultural and Biological Sciences"=>9, "Neuroscience"=>1, "Pharmacology, Toxicology and Pharmaceutical Science"=>3, "Chemistry"=>3, "Computer Science"=>4}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>2}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>7}, "Neuroscience"=>{"Neuroscience"=>1}, "Chemistry"=>{"Chemistry"=>3}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>9}, "Computer Science"=>{"Computer Science"=>4}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>3}}, "reader_count_by_country"=>{"United States"=>1}, "group_count"=>0}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1033683"], "description"=>"<p>Both the rows and the columns are sorted by hierarchical clustering. The colors specify the strength of the pair-wise topological connections (yellow: not significantly connected; red: highly connected). Genes that are highly connected within a cluster are defined as a module. Each module was assigned a unique color identifier (turquoise and blue), with the remaining genes colored gray.</p>", "links"=>[], "tags"=>["genetics", "Human genetics", "Genetic association studies", "Genome-wide association studies", "Personalized medicine", "epigenetics", "gene expression", "Genetic screens", "population genetics", "genomics", "Genome expression analysis", "pharmacogenomics", "Drugs and devices", "pharmacokinetics", "Drug metabolism", "topological", "overlap", "matrix", "374", "dmet"], "article_id"=>689696, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Lun Yang", "Elvin T. Price", "Ching-Wei Chang", "Yan Li", "Ying Huang", "Li-Wu Guo", "Yongli Guo", "Jim Kaput", "Leming Shi", "Baitang Ning"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0060368.g003", "stats"=>{"downloads"=>2, "page_views"=>59, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_A_topological_overlap_matrix_TOM_of_all_374_DMET_genes_/689696", "title"=>"A topological overlap matrix (TOM) of all 374 DMET genes.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-04-23 02:41:36"}
  • {"files"=>["https://ndownloader.figshare.com/files/1033691"], "description"=>"<p>The graph highlights that genes in a liver coexpression network fall into 10 distinct modules, where genes within a module are more highly interconnected with each other than with genes outside the module.</p>", "links"=>[], "tags"=>["genetics", "Human genetics", "Genetic association studies", "Genome-wide association studies", "Personalized medicine", "epigenetics", "gene expression", "Genetic screens", "population genetics", "genomics", "Genome expression analysis", "pharmacogenomics", "Drugs and devices", "pharmacokinetics", "Drug metabolism", "visualization", "coexpression", "dmet"], "article_id"=>689704, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Lun Yang", "Elvin T. Price", "Ching-Wei Chang", "Yan Li", "Ying Huang", "Li-Wu Guo", "Yongli Guo", "Jim Kaput", "Leming Shi", "Baitang Ning"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0060368.g004", "stats"=>{"downloads"=>0, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_visualization_of_the_coexpression_network_for_DMET_genes_/689704", "title"=>"The visualization of the coexpression network for DMET genes.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-04-23 02:41:44"}
  • {"files"=>["https://ndownloader.figshare.com/files/1033693"], "description"=>"<p>The figure indicates the relationship among the ten most influential DMETs and the top 100 prescribed medications. A line between a gene and a drug suggest that the DMET is involved in the metabolism or transporting of the drug. A drug is labeled as a circle and a gene is labeled.</p>", "links"=>[], "tags"=>["genetics", "Human genetics", "Genetic association studies", "Genome-wide association studies", "Personalized medicine", "epigenetics", "gene expression", "Genetic screens", "population genetics", "genomics", "Genome expression analysis", "pharmacogenomics", "Drugs and devices", "pharmacokinetics", "Drug metabolism"], "article_id"=>689706, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Lun Yang", "Elvin T. Price", "Ching-Wei Chang", "Yan Li", "Ying Huang", "Li-Wu Guo", "Yongli Guo", "Jim Kaput", "Leming Shi", "Baitang Ning"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0060368.g005", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Drug_gene_interaction_network_/689706", "title"=>"Drug-gene interaction network.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-04-23 02:41:46"}
  • {"files"=>["https://ndownloader.figshare.com/files/1033701"], "description"=>"<p>The figure indicates the relationship among the ten most influential DMETs and drugs (<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0060368#pone-0060368-t002\" target=\"_blank\">Table 2</a>), and the most common nuclear receptors (<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0060368#pone-0060368-t003\" target=\"_blank\">Table 3</a>). The Panel A indicats the CAR/RXR mediated pathways in the regulation of DMET gene expression, and the Panel B indicates the PXR/RXR mediated pathways in the regulation of DMET gene expression. Panel C lists the legends to visualize the GeneGo pathway maps.</p>", "links"=>[], "tags"=>["genetics", "Human genetics", "Genetic association studies", "Genome-wide association studies", "Personalized medicine", "epigenetics", "gene expression", "Genetic screens", "population genetics", "genomics", "Genome expression analysis", "pharmacogenomics", "Drugs and devices", "pharmacokinetics", "Drug metabolism", "pathways", "dmet", "genego"], "article_id"=>689712, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Lun Yang", "Elvin T. Price", "Ching-Wei Chang", "Yan Li", "Ying Huang", "Li-Wu Guo", "Yongli Guo", "Jim Kaput", "Leming Shi", "Baitang Ning"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0060368.g006", "stats"=>{"downloads"=>1, "page_views"=>20, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Regulation_pathways_for_DMET_expression_by_GeneGo_analysis_/689712", "title"=>"Regulation pathways for DMET expression by GeneGo analysis.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-04-23 02:41:52"}
  • {"files"=>["https://ndownloader.figshare.com/files/1033670"], "description"=>"<p>The DMET genes appear to have a higher likelihood of having high SD compared to non-DMET genes. The X-axis shows the SD interval and Y-axis represents the probability of 427 individuals with an indicated SD interval value.</p>", "links"=>[], "tags"=>["genetics", "Human genetics", "Genetic association studies", "Genome-wide association studies", "Personalized medicine", "epigenetics", "gene expression", "Genetic screens", "population genetics", "genomics", "Genome expression analysis", "pharmacogenomics", "Drugs and devices", "pharmacokinetics", "Drug metabolism", "deviation", "dmet", "non-dmet", "genes", "427"], "article_id"=>689683, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Lun Yang", "Elvin T. Price", "Ching-Wei Chang", "Yan Li", "Ying Huang", "Li-Wu Guo", "Yongli Guo", "Jim Kaput", "Leming Shi", "Baitang Ning"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0060368.g001", "stats"=>{"downloads"=>1, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_standard_deviation_SD_for_the_expression_of_DMET_and_non_DMET_genes_among_427_individuals_/689683", "title"=>"The standard deviation (SD) for the expression of DMET and non-DMET genes among 427 individuals.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-04-23 02:41:23"}
  • {"files"=>["https://ndownloader.figshare.com/files/1033703"], "description"=>"a<p>The number of the related drugs was derived from PharmGKB database.</p>b<p>O.E.R stands for Over the Evaluation Range.</p>", "links"=>[], "tags"=>["genetics", "Human genetics", "Genetic association studies", "Genome-wide association studies", "Personalized medicine", "epigenetics", "gene expression", "Genetic screens", "population genetics", "genomics", "Genome expression analysis", "pharmacogenomics", "Drugs and devices", "pharmacokinetics", "Drug metabolism", "variability", "20", "variably", "dmet", "genes", "427"], "article_id"=>689714, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Lun Yang", "Elvin T. Price", "Ching-Wei Chang", "Yan Li", "Ying Huang", "Li-Wu Guo", "Yongli Guo", "Jim Kaput", "Leming Shi", "Baitang Ning"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0060368.t001", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Interindividual_Variability_of_the_20_Most_Variably_Expressed_DMET_Genes_among_427_Subjects_/689714", "title"=>"Interindividual Variability of the 20 Most Variably Expressed DMET Genes among 427 Subjects.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-04-23 02:41:54"}
  • {"files"=>["https://ndownloader.figshare.com/files/1033704"], "description"=>"<p>Interindividual Variability in the Expression of Nuclear Receptor Genes among 427 Subjects.</p>", "links"=>[], "tags"=>["genetics", "Human genetics", "Genetic association studies", "Genome-wide association studies", "Personalized medicine", "epigenetics", "gene expression", "Genetic screens", "population genetics", "genomics", "Genome expression analysis", "pharmacogenomics", "Drugs and devices", "pharmacokinetics", "Drug metabolism", "variability", "receptor", "genes", "427"], "article_id"=>689715, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Lun Yang", "Elvin T. Price", "Ching-Wei Chang", "Yan Li", "Ying Huang", "Li-Wu Guo", "Yongli Guo", "Jim Kaput", "Leming Shi", "Baitang Ning"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0060368.t003", "stats"=>{"downloads"=>1, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Interindividual_Variability_in_the_Expression_of_Nuclear_Receptor_Genes_among_427_Subjects_/689715", "title"=>"Interindividual Variability in the Expression of Nuclear Receptor Genes among 427 Subjects.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-04-23 02:41:55"}
  • {"files"=>["https://ndownloader.figshare.com/files/1033705"], "description"=>"<p>Expression Variability of Top 10 Most Important DMETs and Their Biological Significances.</p>", "links"=>[], "tags"=>["genetics", "Human genetics", "Genetic association studies", "Genome-wide association studies", "Personalized medicine", "epigenetics", "gene expression", "Genetic screens", "population genetics", "genomics", "Genome expression analysis", "pharmacogenomics", "Drugs and devices", "pharmacokinetics", "Drug metabolism", "variability", "10", "dmets"], "article_id"=>689716, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Lun Yang", "Elvin T. Price", "Ching-Wei Chang", "Yan Li", "Ying Huang", "Li-Wu Guo", "Yongli Guo", "Jim Kaput", "Leming Shi", "Baitang Ning"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0060368.t002", "stats"=>{"downloads"=>1, "page_views"=>24, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Expression_Variability_of_Top_10_Most_Important_DMETs_and_Their_Biological_Significances_/689716", "title"=>"Expression Variability of Top 10 Most Important DMETs and Their Biological Significances.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-04-23 02:41:56"}
  • {"files"=>["https://ndownloader.figshare.com/files/1033672"], "description"=>"<p>The bottom and top of the boxes represent the 25th and 75th percentiles, respectively. The median is indicated by a bold line. The length of the box is the interquartile range (IQR). Values more than 1.5 IQRs are labeled as dots. The X-axis indicates names of DMETs, and the Y-axis indicates “Log10 Ratio of Intensity (samples/references). The reference is the pooled RNA derived from 192 liver samples selected fro sex balance from Vanderbilt and Pittsburgh samples <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0060368#pone.0060368-Schadt1\" target=\"_blank\">[10]</a>.</p>", "links"=>[], "tags"=>["genetics", "Human genetics", "Genetic association studies", "Genome-wide association studies", "Personalized medicine", "epigenetics", "gene expression", "Genetic screens", "population genetics", "genomics", "Genome expression analysis", "pharmacogenomics", "Drugs and devices", "pharmacokinetics", "Drug metabolism", "20", "variably", "hepatic", "dmet"], "article_id"=>689685, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Lun Yang", "Elvin T. Price", "Ching-Wei Chang", "Yan Li", "Ying Huang", "Li-Wu Guo", "Yongli Guo", "Jim Kaput", "Leming Shi", "Baitang Ning"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0060368.g002", "stats"=>{"downloads"=>2, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Box_plot_of_the_top_20_most_variably_expressed_human_hepatic_DMET_genes_/689685", "title"=>"Box plot of the top 20 most variably expressed human hepatic DMET genes.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-04-23 02:41:25"}
  • {"files"=>["https://ndownloader.figshare.com/files/1033706"], "description"=>"<div><p></p><p>Interindividual variability in the expression of drug-metabolizing enzymes and transporters (DMETs) in human liver may contribute to interindividual differences in drug efficacy and adverse reactions. Published studies that analyzed variability in the expression of DMET genes were limited by sample sizes and the number of genes profiled. We systematically analyzed the expression of 374 DMETs from a microarray data set consisting of gene expression profiles derived from 427 human liver samples. The standard deviation of interindividual expression for DMET genes was much higher than that for non-DMET genes. The 20 DMET genes with the largest variability in the expression provided examples of the interindividual variation. Gene expression data were also analyzed using network analysis methods, which delineates the similarities of biological functionalities and regulation mechanisms for these highly variable DMET genes. Expression variability of human hepatic DMET genes may affect drug-gene interactions and disease susceptibility, with concomitant clinical implications.</p> </div>", "links"=>[], "tags"=>["genetics", "Human genetics", "Genetic association studies", "Genome-wide association studies", "Personalized medicine", "epigenetics", "gene expression", "Genetic screens", "population genetics", "genomics", "Genome expression analysis", "pharmacogenomics", "Drugs and devices", "pharmacokinetics", "Drug metabolism", "variability", "hepatic", "metabolizing", "enzymes"], "article_id"=>689717, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Lun Yang", "Elvin T. Price", "Ching-Wei Chang", "Yan Li", "Ying Huang", "Li-Wu Guo", "Yongli Guo", "Jim Kaput", "Leming Shi", "Baitang Ning"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0060368", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Gene_Expression_Variability_in_Human_Hepatic_Drug_Metabolizing_Enzymes_and_Transporters_/689717", "title"=>"Gene Expression Variability in Human Hepatic Drug Metabolizing Enzymes and Transporters", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-04-23 02:41:57"}

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  • {"unique-ip"=>"10", "full-text"=>"7", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"12"}
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Relative Metric

{"start_date"=>"2013-01-01T00:00:00Z", "end_date"=>"2013-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences", "average_usage"=>[269, 466, 588, 697, 800, 896, 988, 1076, 1165, 1254, 1340, 1417]}, {"subject_area"=>"/Medicine and health sciences", "average_usage"=>[264, 460, 584, 692, 794, 887, 978, 1067, 1154, 1241, 1328, 1408, 1474]}, {"subject_area"=>"/Medicine and health sciences/Oncology", "average_usage"=>[249, 468, 599, 718, 820, 920, 1008, 1093, 1181, 1281, 1357, 1444, 1517]}, {"subject_area"=>"/Medicine and health sciences/Pharmacology", "average_usage"=>[265, 471, 604, 723, 827, 926, 1022, 1113, 1210, 1290, 1377, 1454, 1532]}]}
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