Transcriptome-Wide Analysis of Hepatitis B Virus-Mediated Changes to Normal Hepatocyte Gene Expression
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{"title"=>"Transcriptome-Wide Analysis of Hepatitis B Virus-Mediated Changes to Normal Hepatocyte Gene Expression", "type"=>"journal", "authors"=>[{"first_name"=>"Jason", "last_name"=>"Lamontagne", "scopus_author_id"=>"35083717600"}, {"first_name"=>"Joshua C.", "last_name"=>"Mell", "scopus_author_id"=>"6508248167"}, {"first_name"=>"Michael J.", "last_name"=>"Bouchard", "scopus_author_id"=>"7102386630"}], "year"=>2016, "source"=>"PLoS Pathogens", "identifiers"=>{"sgr"=>"84959457692", "pmid"=>"26891448", "pui"=>"608823195", "scopus"=>"2-s2.0-84959457692", "doi"=>"10.1371/journal.ppat.1005438", "issn"=>"15537374"}, "id"=>"7e83bbbd-278c-3636-9213-3e397e556183", "abstract"=>"<title>Author Summary</title> <p>Chronic infection with the hepatitis B virus (HBV) is the leading global cause of primary liver cancer; however, therapeutics for the treatment of chronic HBV are limited in both scope and efficacy. Infection with HBV results in an incompletely understood, complex network of host-virus interactions. To attempt to better understand these interactions, we assessed HBV-mediated changes to normal hepatocyte gene expression on a transcriptome-wide scale. By identifying gene expression that is altered by HBV, we were able to demonstrate that HBV affects multiple cellular signaling pathways that previously have been associated with carcinogenesis. As most HBV-related studies have investigated either late-stage changes in hepatocyte physiology or looked at cellular changes on a more narrow scale, our results represent an important advancement towards identifying early events associated with HBV replication, upstream of the development of HBV-associated disease. Additionally, our studies allowed us to characterize transcriptome changes that occur in a primary hepatocyte culture model, an important advancement in the confirmation of this commonly used model system as a biologically relevant alternative to transformed cell lines.</p>", "link"=>"http://www.mendeley.com/research/transcriptomewide-analysis-hepatitis-b-virusmediated-changes-normal-hepatocyte-gene-expression", "reader_count"=>26, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>3, "Librarian"=>1, "Researcher"=>4, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>9, "Student > Postgraduate"=>2, "Other"=>1, "Student > Bachelor"=>4, "Lecturer"=>1}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>3, "Librarian"=>1, "Researcher"=>4, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>9, "Student > Postgraduate"=>2, "Other"=>1, "Student > Bachelor"=>4, "Lecturer"=>1}, "reader_count_by_subject_area"=>{"Engineering"=>1, "Biochemistry, Genetics and Molecular Biology"=>9, "Agricultural and Biological Sciences"=>8, "Medicine and Dentistry"=>1, "Neuroscience"=>1, "Pharmacology, Toxicology and Pharmaceutical Science"=>1, "Computer Science"=>2, "Immunology and Microbiology"=>3}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>1}, "Neuroscience"=>{"Neuroscience"=>1}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>3}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>8}, "Computer Science"=>{"Computer Science"=>2}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>9}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>1}}, "reader_count_by_country"=>{"United States"=>1}, "group_count"=>2}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/4237792"], "description"=>"<p><b>A.</b> HBV transcripts were aligned based on the location of the shared polyA signal plus an additional 10 bases. Genomic transcripts are greater-than-genome length, with the terminally redundant portion apparent as overlap within the same transcript. <b>B.</b> Average reads-per-base (normalized to library size) from AdGFP-HBV 48hr (blue) and 72hr (red) samples were plotted along the HBV genome/transcripts. <b>C.</b> The HBV genome was broken down into 172 base sliding bins with 50% overlap between bins. Average number of reads-per-bin for AdGFP-HBV-infected PRHs at 48hr (blue) and 72hr (red) were plotted.</p>", "links"=>[], "tags"=>["Multiple analysis pipelines", "factor", "hepatitis B virus", "cell cycle regulation", "gene expression", "HBV replication", "physiology", "context", "hepatocyte", "infection", "Normal Hepatocyte Gene Expression", "pathway", "model"], "article_id"=>2590786, "categories"=>["Biochemistry", "Microbiology", "Genetics", "Molecular Biology", "Chemical Sciences not elsewhere classified", "Biological Sciences not elsewhere classified", "Cancer", "Infectious Diseases", "Virology"], "users"=>["Jason Lamontagne", "Joshua C. Mell", "Michael J. Bouchard"], "doi"=>"https://dx.doi.org/10.1371/journal.ppat.1005438.g003", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Mapping_HBV_derived_reads_/2590786", "title"=>"Mapping HBV-derived reads.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2016-02-18 17:01:37"}
  • {"files"=>["https://ndownloader.figshare.com/files/4237795"], "description"=>"<p><b>A.</b> Average reads per base (normalized to library size) from AdGFP-HBV 48hr (light grey), AdGFP-HBV 72hr (dark grey), AdGFP 48hr (green), and AdGFP 72hr (red) was plotted along the sequence of the pAdEasy-1 vector. <b>B.</b> The pAdEasy-1 sequence was broken down into 5kb sliding bins with 50% overlap between bins. Average number of reads per bin (for both the + and—strand) was plotted for 48hr samples. AdGFP—strand (red), AdGFP-HBV-strand (blue), AdGFP + strand (green), AdGFP-HBV—strand (yellow). <b>C.</b> Reads per bin were plotted for 72hr samples as in B.</p>", "links"=>[], "tags"=>["Multiple analysis pipelines", "factor", "hepatitis B virus", "cell cycle regulation", "gene expression", "HBV replication", "physiology", "context", "hepatocyte", "infection", "Normal Hepatocyte Gene Expression", "pathway", "model"], "article_id"=>2590789, "categories"=>["Biochemistry", "Microbiology", "Genetics", "Molecular Biology", "Chemical Sciences not elsewhere classified", "Biological Sciences not elsewhere classified", "Cancer", "Infectious Diseases", "Virology"], "users"=>["Jason Lamontagne", "Joshua C. Mell", "Michael J. Bouchard"], "doi"=>"https://dx.doi.org/10.1371/journal.ppat.1005438.g004", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Mapping_adenovirus_derived_reads_/2590789", "title"=>"Mapping adenovirus-derived reads.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2016-02-18 17:01:37"}
  • {"files"=>["https://ndownloader.figshare.com/files/4237834"], "description"=>"<p>Expression of genes from the \"HBV-only\" and \"HBV-specific\" was confirmed by qRT-PCR (bars labeled qPCR). Expression is presented as fold change of AdGFP-HBV-infected cells compared to AdGFP-infected cells at the indicated time point. Fold change using the RPKM values described in the primary RNA-seq dataset was included for comparison of expression patterns (bars labeled RPKM).</p>", "links"=>[], "tags"=>["Multiple analysis pipelines", "factor", "hepatitis B virus", "cell cycle regulation", "gene expression", "HBV replication", "physiology", "context", "hepatocyte", "infection", "Normal Hepatocyte Gene Expression", "pathway", "model"], "article_id"=>2590822, "categories"=>["Biochemistry", "Microbiology", "Genetics", "Molecular Biology", "Chemical Sciences not elsewhere classified", "Biological Sciences not elsewhere classified", "Cancer", "Infectious Diseases", "Virology"], "users"=>["Jason Lamontagne", "Joshua C. Mell", "Michael J. Bouchard"], "doi"=>"https://dx.doi.org/10.1371/journal.ppat.1005438.g009", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Confirmation_of_differentially_expressed_genes_by_qRT_PCR_/2590822", "title"=>"Confirmation of differentially expressed genes by qRT-PCR.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2016-02-18 17:01:37"}
  • {"files"=>["https://ndownloader.figshare.com/files/4237801"], "description"=>"<p><b>A.</b> The top 100 most variable genes across all samples were visualized by heatmap. Gene-expression variation was calculated by Z-score, with red indicating an increase in expression compared to the mean across all samples, and blue indicating a decrease in expression. Uninfected 0hr samples were removed from the analysis to prevent a heavy bias due to the large changes within the first 24hr. <b>B.</b> Gene-expression changes in uninfected PRHs over time were plotted as the log<sub>10</sub> RPKM value for genes in uninfected 0hr samples versus the log<sub>2</sub> fold change compared to uninfected 0hr for genes in the indicated comparison. Yellow diamonds indicate DEG that were only differentially expressed in the first 24hr, red squares represent DEG at 24hr and 48hr but not 72hr, and blue circles represent DEG at 24hr, 48hr, and 72hr.</p>", "links"=>[], "tags"=>["Multiple analysis pipelines", "factor", "hepatitis B virus", "cell cycle regulation", "gene expression", "HBV replication", "physiology", "context", "hepatocyte", "infection", "Normal Hepatocyte Gene Expression", "pathway", "model"], "article_id"=>2590795, "categories"=>["Biochemistry", "Microbiology", "Genetics", "Molecular Biology", "Chemical Sciences not elsewhere classified", "Biological Sciences not elsewhere classified", "Cancer", "Infectious Diseases", "Virology"], "users"=>["Jason Lamontagne", "Joshua C. Mell", "Michael J. Bouchard"], "doi"=>"https://dx.doi.org/10.1371/journal.ppat.1005438.g005", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Differential_gene_expression_due_to_time_in_culture_/2590795", "title"=>"Differential-gene expression due to time in culture.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2016-02-18 17:01:37"}
  • {"files"=>["https://ndownloader.figshare.com/files/4237873"], "description"=>"<p>HBV-mediated pathway perturbation.</p>", "links"=>[], "tags"=>["Multiple analysis pipelines", "factor", "hepatitis B virus", "cell cycle regulation", "gene expression", "HBV replication", "physiology", "context", "hepatocyte", "infection", "Normal Hepatocyte Gene Expression", "pathway", "model"], "article_id"=>2590861, "categories"=>["Biochemistry", "Microbiology", "Genetics", "Molecular Biology", "Chemical Sciences not elsewhere classified", "Biological Sciences not elsewhere classified", "Cancer", "Infectious Diseases", "Virology"], "users"=>["Jason Lamontagne", "Joshua C. Mell", "Michael J. Bouchard"], "doi"=>"https://dx.doi.org/10.1371/journal.ppat.1005438.t003", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/HBV_mediated_pathway_perturbation_/2590861", "title"=>"HBV-mediated pathway perturbation.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2016-02-18 17:01:37"}
  • {"files"=>["https://ndownloader.figshare.com/files/4237804"], "description"=>"<p><b>A.</b> Venn diagram of DEG from AdGFP 48hr to AdGFP-HBV 48hr (blue), AdGFP 72hr to AdGFP-HBV 72hr (yellow), AdGFP 48hr to AdGFP 72hr (green) and AdGFP-HBV 48hr to AdGFP-HBV 72hr (red) comparisons. The \"HBV-specific\" subset (described in text) is circled. <b>B.</b> Venn diagram of DEG from AdGFP 48hr to AdGFP-HBV 48hr (blue), AdGFP 72hr to AdGFP-HBV 72hr (yellow), and any DEG from all Uninfected/time-mediated comparison (green). The \"HBV-only\" subset is circled. <b>C-D.</b> HBV-mediated gene-expression changes were plotted for 48hr samples (C.) and 72hr samples (D.) as the log<sub>10</sub> RPKM value for genes in AdGFP samples versus the log<sub>2</sub> fold change compared to AdGFP for genes in the indicated comparison. Yellow diamonds indicate DEG in the \"HBV-only\" subset, red squares represent DEG in the \"HBV-specific\" subset, and blue circles represent all DEG in the AdGFP to AdGFP-HBV comparison at the indicated time point.</p>", "links"=>[], "tags"=>["Multiple analysis pipelines", "factor", "hepatitis B virus", "cell cycle regulation", "gene expression", "HBV replication", "physiology", "context", "hepatocyte", "infection", "Normal Hepatocyte Gene Expression", "pathway", "model"], "article_id"=>2590798, "categories"=>["Biochemistry", "Microbiology", "Genetics", "Molecular Biology", "Chemical Sciences not elsewhere classified", "Biological Sciences not elsewhere classified", "Cancer", "Infectious Diseases", "Virology"], "users"=>["Jason Lamontagne", "Joshua C. Mell", "Michael J. Bouchard"], "doi"=>"https://dx.doi.org/10.1371/journal.ppat.1005438.g006", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Overall_analysis_of_HBV_mediated_changes_in_gene_expression_/2590798", "title"=>"Overall analysis of HBV-mediated changes in gene expression.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2016-02-18 17:01:37"}
  • {"files"=>["https://ndownloader.figshare.com/files/4237747", "https://ndownloader.figshare.com/files/4237771", "https://ndownloader.figshare.com/files/4237768", "https://ndownloader.figshare.com/files/4237765", "https://ndownloader.figshare.com/files/4237762", "https://ndownloader.figshare.com/files/4237759", "https://ndownloader.figshare.com/files/4237756", "https://ndownloader.figshare.com/files/4237753", "https://ndownloader.figshare.com/files/4237750", "https://ndownloader.figshare.com/files/4237774"], "description"=>"<div><p>Globally, a chronic hepatitis B virus (HBV) infection remains the leading cause of primary liver cancer. The mechanisms leading to the development of HBV-associated liver cancer remain incompletely understood. In part, this is because studies have been limited by the lack of effective model systems that are both readily available and mimic the cellular environment of a normal hepatocyte. Additionally, many studies have focused on single, specific factors or pathways that may be affected by HBV, without addressing cell physiology as a whole. Here, we apply RNA-seq technology to investigate transcriptome-wide, HBV-mediated changes in gene expression to identify single factors and pathways as well as networks of genes and pathways that are affected in the context of HBV replication. Importantly, these studies were conducted in an <i>ex vivo</i> model of cultured primary hepatocytes, allowing for the transcriptomic characterization of this model system and an investigation of early HBV-mediated effects in a biologically relevant context. We analyzed differential gene expression within the context of time-mediated gene-expression changes and show that in the context of HBV replication a number of genes and cellular pathways are altered, including those associated with metabolism, cell cycle regulation, and lipid biosynthesis. Multiple analysis pipelines, as well as qRT-PCR and an independent, replicate RNA-seq analysis, were used to identify and confirm differentially expressed genes. HBV-mediated alterations to the transcriptome that we identified likely represent early changes to hepatocytes following an HBV infection, suggesting potential targets for early therapeutic intervention. Overall, these studies have produced a valuable resource that can be used to expand our understanding of the complex network of host-virus interactions and the impact of HBV-mediated changes to normal hepatocyte physiology on viral replication.</p></div>", "links"=>[], "tags"=>["Multiple analysis pipelines", "factor", "hepatitis B virus", "cell cycle regulation", "gene expression", "HBV replication", "physiology", "context", "hepatocyte", "infection", "Normal Hepatocyte Gene Expression", "pathway", "model"], "article_id"=>2590768, "categories"=>["Biochemistry", "Microbiology", "Genetics", "Molecular Biology", "Chemical Sciences not elsewhere classified", "Biological Sciences not elsewhere classified", "Cancer", "Infectious Diseases", "Virology"], "users"=>["Jason Lamontagne", "Joshua C. Mell", "Michael J. Bouchard"], "doi"=>["https://dx.doi.org/10.1371/journal.ppat.1005438.s001", "https://dx.doi.org/10.1371/journal.ppat.1005438.s009", "https://dx.doi.org/10.1371/journal.ppat.1005438.s008", "https://dx.doi.org/10.1371/journal.ppat.1005438.s007", "https://dx.doi.org/10.1371/journal.ppat.1005438.s006", "https://dx.doi.org/10.1371/journal.ppat.1005438.s005", "https://dx.doi.org/10.1371/journal.ppat.1005438.s004", "https://dx.doi.org/10.1371/journal.ppat.1005438.s003", "https://dx.doi.org/10.1371/journal.ppat.1005438.s002", "https://dx.doi.org/10.1371/journal.ppat.1005438.s010"], "stats"=>{"downloads"=>2, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Transcriptome_Wide_Analysis_of_Hepatitis_B_Virus_Mediated_Changes_to_Normal_Hepatocyte_Gene_Expression/2590768", "title"=>"Transcriptome-Wide Analysis of Hepatitis B Virus-Mediated Changes to Normal Hepatocyte Gene Expression", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2016-02-18 17:01:37"}
  • {"files"=>["https://ndownloader.figshare.com/files/4237846"], "description"=>"<p>RNA-seq overview.</p>", "links"=>[], "tags"=>["Multiple analysis pipelines", "factor", "hepatitis B virus", "cell cycle regulation", "gene expression", "HBV replication", "physiology", "context", "hepatocyte", "infection", "Normal Hepatocyte Gene Expression", "pathway", "model"], "article_id"=>2590834, "categories"=>["Biochemistry", "Microbiology", "Genetics", "Molecular Biology", "Chemical Sciences not elsewhere classified", "Biological Sciences not elsewhere classified", "Cancer", "Infectious Diseases", "Virology"], "users"=>["Jason Lamontagne", "Joshua C. Mell", "Michael J. Bouchard"], "doi"=>"https://dx.doi.org/10.1371/journal.ppat.1005438.t001", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/RNA_seq_overview_/2590834", "title"=>"RNA-seq overview.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2016-02-18 17:01:37"}
  • {"files"=>["https://ndownloader.figshare.com/files/4237807"], "description"=>"<p>Gene name, Ensembl ID, and associated protein name are given for genes within the HBV-only subset of genes. Fold changes comparing expression in AdGFP to AdGFP-HBV at the indicated time points is included, along with a heatmap depicting expression variation (by Z-score) across all samples.</p>", "links"=>[], "tags"=>["Multiple analysis pipelines", "factor", "hepatitis B virus", "cell cycle regulation", "gene expression", "HBV replication", "physiology", "context", "hepatocyte", "infection", "Normal Hepatocyte Gene Expression", "pathway", "model"], "article_id"=>2590804, "categories"=>["Biochemistry", "Microbiology", "Genetics", "Molecular Biology", "Chemical Sciences not elsewhere classified", "Biological Sciences not elsewhere classified", "Cancer", "Infectious Diseases", "Virology"], "users"=>["Jason Lamontagne", "Joshua C. Mell", "Michael J. Bouchard"], "doi"=>"https://dx.doi.org/10.1371/journal.ppat.1005438.g007", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Description_of_HBV_only_subset_of_differentially_expressed_genes_/2590804", "title"=>"Description of HBV-only subset of differentially expressed genes.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2016-02-18 17:01:37"}
  • {"files"=>["https://ndownloader.figshare.com/files/4237780"], "description"=>"<p><b>A</b>. Experimental setup for primary dataset. <b>B</b>. PRHs were infected with either AdGFP or AdGFP-HBV, and infection efficiency was determined by monitoring GFP expression at 48hr and 72hr (24hr and 48hr post-infection). <b>C.</b> HBV replication was monitored by Southern blot analysis of HBV core particle-associated DNA. Blot was exposed for 1 day (upper panel) or 7 days (lower panel) to allow visualization of HBV replication at both 48hr and 72hr. RC–relaxed circular DNA, DL–double-stranded linear DNA, SS–single stranded DNA.</p>", "links"=>[], "tags"=>["Multiple analysis pipelines", "factor", "hepatitis B virus", "cell cycle regulation", "gene expression", "HBV replication", "physiology", "context", "hepatocyte", "infection", "Normal Hepatocyte Gene Expression", "pathway", "model"], "article_id"=>2590774, "categories"=>["Biochemistry", "Microbiology", "Genetics", "Molecular Biology", "Chemical Sciences not elsewhere classified", "Biological Sciences not elsewhere classified", "Cancer", "Infectious Diseases", "Virology"], "users"=>["Jason Lamontagne", "Joshua C. Mell", "Michael J. Bouchard"], "doi"=>"https://dx.doi.org/10.1371/journal.ppat.1005438.g001", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Confirmation_of_experimental_system_/2590774", "title"=>"Confirmation of experimental system.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2016-02-18 17:01:37"}
  • {"files"=>["https://ndownloader.figshare.com/files/4237783"], "description"=>"<p><b>A.</b> Euclidean sample distance was mapped allowing unbiased ordering of samples based on sample similarity. <b>B.</b> Plot of distribution of average RPKM values per sample.</p>", "links"=>[], "tags"=>["Multiple analysis pipelines", "factor", "hepatitis B virus", "cell cycle regulation", "gene expression", "HBV replication", "physiology", "context", "hepatocyte", "infection", "Normal Hepatocyte Gene Expression", "pathway", "model"], "article_id"=>2590777, "categories"=>["Biochemistry", "Microbiology", "Genetics", "Molecular Biology", "Chemical Sciences not elsewhere classified", "Biological Sciences not elsewhere classified", "Cancer", "Infectious Diseases", "Virology"], "users"=>["Jason Lamontagne", "Joshua C. Mell", "Michael J. Bouchard"], "doi"=>"https://dx.doi.org/10.1371/journal.ppat.1005438.g002", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/RNA_seq_overview_/2590777", "title"=>"RNA-seq overview.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2016-02-18 17:01:37"}
  • {"files"=>["https://ndownloader.figshare.com/files/4237816"], "description"=>"<p><b>A-H.</b> Individual gene expression was plotted as RPKM value over time for uninfected PRHs (black), AdGFP-infected PRHs (red), and AdGFP-HBV-infected PRHs (blue).</p>", "links"=>[], "tags"=>["Multiple analysis pipelines", "factor", "hepatitis B virus", "cell cycle regulation", "gene expression", "HBV replication", "physiology", "context", "hepatocyte", "infection", "Normal Hepatocyte Gene Expression", "pathway", "model"], "article_id"=>2590810, "categories"=>["Biochemistry", "Microbiology", "Genetics", "Molecular Biology", "Chemical Sciences not elsewhere classified", "Biological Sciences not elsewhere classified", "Cancer", "Infectious Diseases", "Virology"], "users"=>["Jason Lamontagne", "Joshua C. Mell", "Michael J. Bouchard"], "doi"=>"https://dx.doi.org/10.1371/journal.ppat.1005438.g008", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/HBV_mediated_impact_on_time_mediated_differential_gene_expression_/2590810", "title"=>"HBV-mediated impact on time-mediated, differential-gene expression.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2016-02-18 17:01:37"}
  • {"files"=>["https://ndownloader.figshare.com/files/4237858"], "description"=>"<p>Number of overlapping differentially expressed genes between comparisons.</p>", "links"=>[], "tags"=>["Multiple analysis pipelines", "factor", "hepatitis B virus", "cell cycle regulation", "gene expression", "HBV replication", "physiology", "context", "hepatocyte", "infection", "Normal Hepatocyte Gene Expression", "pathway", "model"], "article_id"=>2590846, "categories"=>["Biochemistry", "Microbiology", "Genetics", "Molecular Biology", "Chemical Sciences not elsewhere classified", "Biological Sciences not elsewhere classified", "Cancer", "Infectious Diseases", "Virology"], "users"=>["Jason Lamontagne", "Joshua C. Mell", "Michael J. Bouchard"], "doi"=>"https://dx.doi.org/10.1371/journal.ppat.1005438.t002", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Number_of_overlapping_differentially_expressed_genes_between_comparisons_/2590846", "title"=>"Number of overlapping differentially expressed genes between comparisons.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2016-02-18 17:01:37"}

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{"start_date"=>"2016-01-01T00:00:00Z", "end_date"=>"2016-12-31T00:00:00Z", "subject_areas"=>[]}
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