M-CMV infected Nicotiana tabacum
Ontology highlight
ABSTRACT:
ORGANISM(S): Tobacco Nicotiana Tabacum
TISSUE(S): Plant
DISEASE(S): Mosaic Virus Infection
SUBMITTER: 
Rong Lei
PROVIDER: ST000497 | MetabolomicsWorkbench | Sun Oct 23 00:00:00 BST 2016
REPOSITORIES: MetabolomicsWorkbench
Similar Datasets
Project description:Here we performed a transcriptomic study on complete symptom development process of CMV-infected Nicotiana tabacum using Solexa/Illumina's high-throughput digital gene expression (DGE) system. 12 DGE libraries (from six virus-infected samples and six corresponding mock-inoculated samples) were constructed, and the gene expression variations between the virus-infected sample and the mock-inoculated sample in each symptom stage were compared. Thousands of differentially expressed genes were obtained by the comparison, and KEGG pathway analysis of these genes suggested that many biological processes (such as phtosynthesis, pigment metabolism and plant-pathogen interaction) were related to the symptom development. The authenticity of the DGE data was further confirmed by analyzing real-time RT-PCR using several random-selected genes. We sequenced a cDNA library constructed from mixture of total RNA from six virus-infected samples and six mock-inoculated samples to get gene information for tobacco leaves in different symptom stages, including vein clearing, mosaic, severe chlorosis, partial recovery, total recovery and re-mosaic, and 95,916 Unigenes were obtained
2012-11-09 | GSE30162 | GEO
Project description:Here we performed a transcriptomic study on complete symptom development process of CMV-infected Nicotiana tabacum using Solexa/Illumina's high-throughput digital gene expression (DGE) system. 12 DGE libraries (from six virus-infected samples and six corresponding mock-inoculated samples) were constructed, and the gene expression variations between the virus-infected sample and the mock-inoculated sample in each symptom stage were compared. Thousands of differentially expressed genes were obtained by the comparison, and KEGG pathway analysis of these genes suggested that many biological processes (such as phtosynthesis, pigment metabolism and plant-pathogen interaction) were related to the symptom development. The authenticity of the DGE data was further confirmed by analyzing real-time RT-PCR using several random-selected genes. We sequenced a cDNA library constructed from mixture of total RNA from six virus-infected samples and six mock-inoculated samples to get gene information for tobacco leaves in different symptom stages, including vein clearing, mosaic, severe chlorosis, partial recovery, total recovery and re-mosaic, and 95,916 Unigenes were obtained Tobacco leaves were inoculated by CMV-infected leaf homogenate and healthy leaf homogenate, respectivley. Six time points with different symptom stage were selected, and one virus-infect sample and one mock-inoculated sample were collected at each time. In order to average out variation of different plants, five leaves from five different plants were mixed to prepare every RNA sample. Twelve individual tag libraries of samples (six infected samples and six mock-inoculated samples) were constructed in parallel. For the gene expression analysis, the twelve samples were grouped into six groups, and each group contained a virus-infected sample and a mock-inoculated sample collected at the same time. In each group, the DGE data of virus-infected sample were compared to that of mock-inoculated sample to obtain the gene expression variations. Illumina sequencing of transcripts from virus-infected and mock-inoculated samples to get gene information for tobacco leaves in different symptom stages. In order to get more gene information, the systemically infected leaves and mock-inoculated leaves were harvested at six time points and five leaves from five different plants were collected at each time point. The RNA-Seq analysis provided gene information for mock-inoculated and virus-infected tobacco leaves in different symptom stages.
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Project description:<p>The World Health Organization estimates there are 170 million persons with HCV infection worldwide, and an estimated 4 million persons are infected in the United States. Persistent HCV infection can cause cirrhosis and hepatocellular cancer. Long term disease consequences do not occur in persons who spontaneously recover. It is not known why 10-40% recover from hepatitis C (and are not at increased risk of cirrhosis and cancer), but that knowledge would contribute to efforts to treat and/or prevent HCV infection. The overall purpose of this study is to investigate the host genetic basis for recovery from hepatitis C virus (HCV) infection. There is strong evidence that host genetic differences determine HCV recovery. After accidental exposure to the same HCV inoculum, some persons recover while others develop persistent infection. Recovery from HCV infection is an outstanding phenotype for genetic studies since both viral exposure and viral recovery can be ascertained with high sensitivity and specificity and since there are no known viral or environmental determinants.</p> <p>The study group is comprised of an ethnically and geographically diverse international population. All cohorts comprising this study group of 3350 individuals are well characterized. This case-control study is comprised of approximately 40% clearance individuals who are matched by age and HIV status within their respective cohorts at a ratio of 1:1 or 1:2 with HCV chronically infected individuals.</p>
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Project description:Human fibroblasts were infected or not with Toxoplasma gondii (Pru strain) for 18 h at a nominal MOI of 3. Cells were subsequently treated with human recombinant interferon gamma (0.5 ng/ml = 30 pM) for 0, 2, 4 and 8 h before RNA was harvested for cDNA microarray experiments. Uninfected samples were named N0, N2, N4 and N8 (i.e., N2 indicated uninfected cells treated with interferon gamma for 2 h); infected samples were named P0, P2, P4 and P8. Duplicate cultures were analyzed for each condition (indicated as "a" and "b"). The reference channel (ch1, green) contained Universal Human Reference RNA. Using a genome-wide microarray analysis we show here a complete dysregulation of interferon-gamma-inducible gene expression in human fibroblasts infected with Toxoplasma. Notably, 46 of the 127 interferon-gamma-responsive genes were induced and 19 were suppressed in infected cells before they were exposed to interferon gamma, indicating that other stimuli produced during infection may also regulate these genes. Following interferon-gamma treatment, none of the 127 interferon-gamma-responsive genes could be significantly induced in infected cells. Groups of assays that are related as part of a time series. Infection: Toxoplasma gondii (18h post-infection) Time: time of IFN-gamma treatment Growth Condition: interferon gamma Keywords: time_series_design
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