Project description:This SuperSeries is composed of the following subset Series: GSE35462: Genome-wide analysis of histone methylation reveals chromatin state-based regulation of host cellular gene expression induced by hepatitis B viruses (ChIP-Seq dataset) GSE35464: Genome-wide analysis of histone methylation reveals chromatin state-based regulation of host cellular gene expression induced by hepatitis B viruses (DGE dataset) Refer to individual Series
Project description:To elucidate the potential role of commensal viruses in the etiology of AR, we performed a metagenomic analysis of nasal lavage fluid (NLF) to identify commensal viruses in the nose of mice colonizing in the specific pathogen-free (SPF) circumstances (Vehicle group). To evaluate the potential role of these commensal viruses, we reduced them in the nose of mice by administrating intranasal drops of broad-spectrum antiviral drug ribavirin daily, starting at 4-week-old and lasting for three weeks (Ribavirin group).
Project description:The chimpanzee is the only model other than man for investigating the pathogenesis of viral hepatitis types A through E. Studies of the host response, including microarray analyses, have relied on the close relationship between these two primate species: chimpanzee samples are commonly tested with human-based reagents. In this study, the host response to two dissimilar viruses, hepatitis E virus (HEV) and hepatitis C virus (HCV), was compared in multiple experimentally-infected chimpanzees. Affymetrix U133+2.0 human microarray chips were used to assess the entire transcriptome in serial liver biopsies obtained over the course of the infections. The comparison utilized a permutational t-test-based analysis of selected time points. More specifically, baseline samples were compared with post-inoculation samples that were strategically chosen based on their relationship to viremia, and probe sequences were aligned to the human and chimpanzee genome sequences to assess their relative sensitivity for detecting differentially expressed genes. Regardless of the viral infection, the alignment of differentially expressed genes to the human genome sequence resulted in a larger number of genes being identified when compared with alignment to the chimpanzee genome sequence. This probably reflects the lesser refinement of gene annotation for chimpanzees. In general, the two viruses demonstrated very distinct temporal changes in host response genes, although both RNA viruses induced genes that were involved in many of the same biological systems, including interferon-induced genes. The host response to HCV infection was more robust than the response to HEV infection.
Project description:Blood collected from infants at week 6 and week 7 of life to profile how the transcriptome is changed following routine early life vaccination. Paired faecal metagenomic data is available for these infants under BioProject PRJNA807448 at the Sequence Read Archive.
Project description:A grand challenge in biology is the lack of annotation for much of global sequence space. In particular, while microbes and their viruses are critical to Earth System functioning, surveys of their communities in nature routinely return genes of unknown function, particularly for viruses. This hampers understanding and predictive capability, and reflects a number of database limitations. Here we apply high-resolution environmental metaproteomics to 4 purified viral concentrates from the Tara Oceans Expedition to identify in situ proteins extracted from uncultivated viral particles. Using matched metagenomic databases, we identified 1875 proteins belonging to 549 non-redundant protein clusters that are predominantly of unknown function. These data help identify function for structure-associated proteins in known abundant tailed viruses (e.g., pelagiphages and cyanophages) and validate newly-identified uncultured viral sequences linked to abundant novel hosts. One protein cluster alone comprised 22% of the identified structure-associated proteins, with ~46% of the observed spectra. Structural modeling of this highly abundant viral protein cluster indicates its likely role as a novel, previously unknown capsid. Together these analyses provide much-needed, culture-independent structure-associated protein annotations critical for identifying viral signals across diverse datasets to better elucidate viral roles in nature.
Project description:The chimpanzee is the only model other than man for investigating the pathogenesis of viral hepatitis types A through E. Studies of the host response, including microarray analyses, have relied on the close relationship between these two primate species: chimpanzee samples are commonly tested with human-based reagents. In this study, the host response to two dissimilar viruses, hepatitis E virus (HEV) and hepatitis C virus (HCV), was compared in multiple experimentally-infected chimpanzees. Affymetrix U133+2.0 human microarray chips were used to assess the entire transcriptome in serial liver biopsies obtained over the course of the infections. The comparison utilized a permutational t-test-based analysis of selected time points. More specifically, baseline samples were compared with post-inoculation samples that were strategically chosen based on their relationship to viremia, and probe sequences were aligned to the human and chimpanzee genome sequences to assess their relative sensitivity for detecting differentially expressed genes. Regardless of the viral infection, the alignment of differentially expressed genes to the human genome sequence resulted in a larger number of genes being identified when compared with alignment to the chimpanzee genome sequence. This probably reflects the lesser refinement of gene annotation for chimpanzees. In general, the two viruses demonstrated very distinct temporal changes in host response genes, although both RNA viruses induced genes that were involved in many of the same biological systems, including interferon-induced genes. The host response to HCV infection was more robust than the response to HEV infection. Three chimpanzees were inoculated intravenously with the hepatitis C virus: chimp 1628 was infected with < 100 infectious doses (ID) of the H77 strain (genotype 1a) (30); chimp 1417 was infected with an unknown titer, in serum, of the HC-J6 strain (genotype 2a) (31); chimp 1422 was infected with an unknown titer, in serum, of the T.N. strain (genotype 1a) (35). Four chimpanzees (CH1616, CH1618, CH1374 and CH1375) were inoculated intravenously with 0.5 ml of the HEV SAR55 strain (genotype 1) at approximately 10^6 ID. Grouping of the biological replicates was based on viremia: groups consisted of the first positive week (and the second positive week for HCV), the peak positive week, the last positive week, the first negative week and the fourth negative week. There were 3 biological replicates for HCV. The 4 replicates for HEV were both biological and technical. For chimp 1417, 7 samples were taken between weeks 0 and 17. For chimp 1422, 8 samples were taken between weeks 0 and 13. For chimp 1628, 8 samples were taken between weeks 0 and 19. For chimp 1374, 6 samples were taken between weeks 0 and 8. For chimp 1375, 4 samples were taken between weeks 0 and 8. For chimp 1616, 5 samples were taken between weeks 0 and 7. For chimp 1618, 6 samples were taken between weeks 0 and 8. Normalized probe set level data not provided for individual Sample records. Processed data is available on Series record.
Project description:This clinical trial hypothesize that Gut Microbiota (bacteria, viruses, fungi)play a major role in the occurrence and progression of many chronic gastrointestinal diseases like Irritable Bowel Syndrome, Inflammatory Bowel Diseases and Colo-Rectal Cancer.
Hence, aims to study the spectrum of such microbiota in these patients as compared to normal subjects, by utilizing metagenomic techniques rather than cultural methods.
Project description:Characterization of a metagenomic regulatory sequence library derived from M. xanthus, E. coli, and O. urethralis genomes in strains expressing different RpoD ortholog variants. Targeted DNA and RNA seq used to profile relative DNA and RNA abundances, respectively of each regulatory sequence construct in the library.