Project description:Purpose: Chronic infection with hepatitis B virus is the leading global risk factor for the development of liver cancer. A large body of research has shown the many effects an HBV infection has on cellular physiology, particularly on pathways that may be involved in the development of HBV-associated diseases. Unfortunately, a significant portion of this research has been done in systems that may not mimic what is seen in a primary hepatocyte, and is not done on a transcriptome-wide scale. Because of this, we performed an RNA-seq analysis of primary rat hepatocytes either expressing HBV or not over a series of time points to determine the global changes HBV has on primary hepatocyte physiology. Methods: To do this RNA-seq analysis, triplicate samples of total RNA were collected from cultured primary rat hepatocytes (PRH) over the course of 72hr. PRH were collected immediately after isolation (0hr), or 24hr, 48hr, or 72hr after plating. In addition, PRH were infected 24hr after plating with adenovirus expressing GFP alone (AdGFP) or GFP along with a greater than unit length copy of the HBV genome (AdHBV) and collected at 48hr after plating (24hr after infection) or 72hr after plating (48hr after infection). cDNA libraries were sequenced using the Illumina NextSeq 500 platform to generate either 1x75bp reads. Reads were mapped using the STAR aligner, and output BAMs were further analyzed in R using the GenomicAlignments package, to quantify number of reads per transcript, and DESeq2, to determine differential expression. Reads per kilobase transcript per million total reads (RPKM) was calculated by dividing reads per transcript by the transcript length and then normalizing to the total number of reads in the sample. Results: Following this pipeline, we were able to identify a number of HBV-mediated differentially expressed transcripts at 48hr and 72hr. In addition, we noted considerable change to the hepatocyte transcriptome as a direct result of the isolation/plating procedure, regardless of the presence of HBV. Further pathway analysis of these differentially expressed transcripts identified many important cellular pathways, including those involved with cell cycle regulation and metabolism, as being differentially regulated by HBV in primary hepatocytes. mRNA profiles of cultured primary rat hepatocytes were generated, in triplicate, using the Illumina NextSeq 500 platform from freshly isolated cells (0hr), 24hr, 48hr, or 72hr after plating, and with or without expression of HBV 48hr or 72hr after plating.
Project description:Purpose: Chronic infection with hepatitis B virus is the leading global risk factor for the development of liver cancer. A large body of research has shown the many effects an HBV infection has on cellular physiology, particularly on pathways that may be involved in the development of HBV-associated diseases. Unfortunately, a significant portion of this research has been done in systems that may not mimic what is seen in a primary hepatocyte, and is not done on a transcriptome-wide scale. Because of this, we performed an RNA-seq analysis of primary rat hepatocytes either expressing HBV or not over a series of time points to determine the global changes HBV has on primary hepatocyte physiology. Methods: To do this RNA-seq analysis, triplicate samples of total RNA were collected from cultured primary rat hepatocytes (PRH) over the course of 72hr. PRH were collected immediately after isolation (0hr), or 24hr, 48hr, or 72hr after plating. In addition, PRH were infected 24hr after plating with adenovirus expressing GFP alone (AdGFP) or GFP along with a greater than unit length copy of the HBV genome (AdHBV) and collected at 48hr after plating (24hr after infection) or 72hr after plating (48hr after infection). cDNA libraries were sequenced using the Illumina NextSeq 500 platform to generate either 1x75bp reads. Reads were mapped using the STAR aligner, and output BAMs were further analyzed in R using the GenomicAlignments package, to quantify number of reads per transcript, and DESeq2, to determine differential expression. Reads per kilobase transcript per million total reads (RPKM) was calculated by dividing reads per transcript by the transcript length and then normalizing to the total number of reads in the sample. Results: Following this pipeline, we were able to identify a number of HBV-mediated differentially expressed transcripts at 48hr and 72hr. In addition, we noted considerable change to the hepatocyte transcriptome as a direct result of the isolation/plating procedure, regardless of the presence of HBV. Further pathway analysis of these differentially expressed transcripts identified many important cellular pathways, including those involved with cell cycle regulation and metabolism, as being differentially regulated by HBV in primary hepatocytes.
Project description:Purpose: Chronic infection with hepatitis B virus is the leading global risk factor for the development of liver cancer. A large body of research has shown the many effects an HBV infection has on cellular physiology, particularly on pathways that may be involved in the development of HBV-associated diseases. Unfortunately, a significant portion of this research has been done in systems that may not mimic what is seen in a primary hepatocyte, and is not done on a transcriptome-wide scale. Because of this, we performed an RNA-seq analysis of primary rat hepatocytes expressing HBV to determine the global changes HBV has on primary hepatocyte physiology. Methods: To do this RNA-seq analysis, triplicate samples of total RNA were collected from cultured primary rat hepatocytes infected with adenovirus expressing GFP alone (AdGFP) or GFP along with a greater than unit length copy of the HBV genome (AdHBV). Samples were collected either 24h or 48h after infection. cDNA libraries were sequenced two times using the Illumina HiSeq or Illumina NextSeq platform to generate either 1x50bp or 1x75bp reads. Reads from each sequencing run were mapped using the STAR aligner, and output BAMs were merged into a single BAM for each sample. The merged BAM was further analyzed in R using the GenomicAlignments package to quantify number of reads per transcript and DESeq2 to determine differential expression. Reads per kilobase transcript per million total reads (RPKM) was calculated by dividing reads per transcript by the transcript length and then normalizing to the total number of reads in the sample. Results: Following this pipeline, we were able to identify a number of HBV-mediated differentially expressed transcripts at 24h and 48h post-infection. Further pathway analysis of these differentially expressed transcripts identified many important cellular pathways, including those involved with cell cycle regulation and metabolism, as being differentially regulated by HBV in primary hepatocytes. mRNA profiles of HBV-expressing and non-expressing primary rat hepatocytes were generated, in triplicate, 24h and 48h post-infection using Illumina HiSeq 2500 and NextSeq 500 instruments.
Project description:Purpose: Chronic infection with hepatitis B virus is the leading global risk factor for the development of liver cancer. A large body of research has shown the many effects an HBV infection has on cellular physiology, particularly on pathways that may be involved in the development of HBV-associated diseases. Unfortunately, a significant portion of this research has been done in systems that may not mimic what is seen in a primary hepatocyte, and is not done on a transcriptome-wide scale. Because of this, we performed an RNA-seq analysis of primary rat hepatocytes expressing HBV to determine the global changes HBV has on primary hepatocyte physiology. Methods: To do this RNA-seq analysis, triplicate samples of total RNA were collected from cultured primary rat hepatocytes infected with adenovirus expressing GFP alone (AdGFP) or GFP along with a greater than unit length copy of the HBV genome (AdHBV). Samples were collected either 24h or 48h after infection. cDNA libraries were sequenced two times using the Illumina HiSeq or Illumina NextSeq platform to generate either 1x50bp or 1x75bp reads. Reads from each sequencing run were mapped using the STAR aligner, and output BAMs were merged into a single BAM for each sample. The merged BAM was further analyzed in R using the GenomicAlignments package to quantify number of reads per transcript and DESeq2 to determine differential expression. Reads per kilobase transcript per million total reads (RPKM) was calculated by dividing reads per transcript by the transcript length and then normalizing to the total number of reads in the sample. Results: Following this pipeline, we were able to identify a number of HBV-mediated differentially expressed transcripts at 24h and 48h post-infection. Further pathway analysis of these differentially expressed transcripts identified many important cellular pathways, including those involved with cell cycle regulation and metabolism, as being differentially regulated by HBV in primary hepatocytes.
Project description:Interferon regulatory factors (IRFs) play key roles in the transactivation of antiviral genes at the step downstream of activated pathogen-associated molecular pattern sensors, such as RIG-I-like receptors or Toll-like receptors. Whereas IRF1 and IRF3 are thought to bind similar DNA elements (ISRE and PRD-III, PRD-I) to activate antiviral gene transcription, genome-wide transcriptome profiling of IRF1 versus IRF3 knockouts in an immortalized primary hepatocyte (PH5CH8) cell line infected with hepatitis A virus (HAV) revealed unexpected disparities in their target genes. IRF1 targets include several anti-HAV effector genes that were not previously recognized to have antiviral functions.
Project description:To characterize the genetic alterations that instigate hepatitis C virus-induced hepatocellular carcinoma (HCC), we conducted an integrative genomic analysis of 103 HCCs. Most tumors harbored 1q gain, 8q gain or 8p loss, with occasional alterations in 13 additional chromosome arms. In addition to amplifications at 11q13 in 6 tumors, 4 tumors harbored focal gains at 6p21 incorporating VEGFA, which were confirmed in 4 of 113 HCC in an independent validation set. Strikingly, this locus overlapped with copy gains in 4 of 371 lung adenocarcinomas. Overexpression of VEGFA via 6p21 gain suggested a cell-nonautonomous mechanism of oncogene activation. Hierarchical clustering of gene expression among 91 tumors identified 5 classes, including ‘Wnt-CTNNB1’, ‘proliferation’ and ‘interferon-related’ gene classes. We also discovered a novel class defined by polysomy of chromosome 7, gains of which were associated with early tumor recurrence after resection. These findings reveal key alterations in HCC pathogenesis and implicate potential therapeutic targets. Keywords: disease state analysis 103 hepatocellular carcinomas and 95 adjacent cirrhotic, non-tumoral liver tissue were obtained at the time of surgical resection of orthotopic transplantation.