Coupled Transcriptome and Proteome Analysis of Human Lymphotropic Tumor Viruses: Insights on the Detection and Discovery of Viral Genes
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: MSV000079036GSE34538
PROVIDER: PRJNA151379 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Kaposi’s sarcoma-associated herpesvirus (KSHV) and Epstein-Barr virus (EBV) are related human tumor viruses that cause primary effusion lymphomas (PEL) and Burkitt’s lymphomas (BL), respectively. Viral genes expressed in naturally-infected cancer cells contribute to disease pathogenesis; knowing which viral genes are expressed is critical in understanding how these viruses cause cancer. To evaluate the expression of viral genes, we used high-resolution separation and mass spectrometry coupled with custom tiling arrays to align the viral proteomes and transcriptomes of three PEL and two BL cell lines under latent and lytic culture conditions. The majority of viral genes were efficiently detected at the transcript and/or protein level on manipulating the viral life cycle. Overall the correlation of expressed viral proteins and transcripts was highly complementary in both validating and providing orthogonal data with latent/lytic viral gene expression. Our approach also identified novel viral genes in both KSHV and EBV, and extends viral genome annotation. The expression of several previously uncharacterized latent genes were validated at both transcript and protein levels. This systems biology approach coupling proteome and transcriptome measurements provides a comprehensive view of viral gene expression that could not have been attained using each methodology independently. Detection of viral proteins in combination with viral transcripts is a potentially powerful method for establishing virus-disease relationships.
2011-12-30 | GSE34538 | GEO
Project description:BACKGROUND:Kaposi's sarcoma-associated herpesvirus (KSHV) and Epstein-Barr virus (EBV) are related human tumor viruses that cause primary effusion lymphomas (PEL) and Burkitt's lymphomas (BL), respectively. Viral genes expressed in naturally-infected cancer cells contribute to disease pathogenesis; knowing which viral genes are expressed is critical in understanding how these viruses cause cancer. To evaluate the expression of viral genes, we used high-resolution separation and mass spectrometry coupled with custom tiling arrays to align the viral proteomes and transcriptomes of three PEL and two BL cell lines under latent and lytic culture conditions. RESULTS:The majority of viral genes were efficiently detected at the transcript and/or protein level on manipulating the viral life cycle. Overall the correlation of expressed viral proteins and transcripts was highly complementary in both validating and providing orthogonal data with latent/lytic viral gene expression. Our approach also identified novel viral genes in both KSHV and EBV, and extends viral genome annotation. Several previously uncharacterized genes were validated at both transcript and protein levels. CONCLUSIONS:This systems biology approach coupling proteome and transcriptome measurements provides a comprehensive view of viral gene expression that could not have been attained using each methodology independently. Detection of viral proteins in combination with viral transcripts is a potentially powerful method for establishing virus-disease relationships.
| S-EPMC3282826 | biostudies-literature
Project description:Sewage samples were collected and concentrated for Human and animal viruses. Viruses were cultured on Buffalo Green Monkey Cells (BGMK) and their genomic DNA/RNA were extracted and labeled with Cy3 and Cy5 respectively. Labeled DNA/RNA were hybridized unto the array and signals generated were analyzed to indicate the presence of target viruses. Keywords: Detection of pathogens within environmental sample (Viruses)
2008-04-18 | GSE11195 | GEO
Project description:Sewage samples were collected and concentrated for Human and animal viruses. Viruses were cultured on Buffalo Green Monkey Cells (BGMK) and their genomic DNA/RNA were extracted and labeled with Cy3 and Cy5 respectively. Labeled DNA/RNA were hybridized unto the array and signals generated were analyzed to indicate the presence of target viruses. Keywords: Detection of pathogens within environmental sample (Viruses) Environmental viruses were concentrated using organic flocculation with Beef Extract supplemented with glycine. Viruses were concentrated using 2 successive rounds of centrifugation and resuspended in Sodium Phosphate buffer. Viral nucleic acid was extracted, labeled and hybridized unto the microarray to determine the presence of target viruses within the sample.
2008-04-18 | E-GEOD-11195 | biostudies-arrayexpress
Project description:Emerging viruses are usually endemic to tropical and sub-tropical regions of the world, but increased global travelling, climate changes and changes in lifestyle are believed to contribute to the spread of these viruses into new regions. For many of them, the disease symptoms are similar to each other, as well as to other more common diseases, making them difficult to diagnose. A rapid identification will help to decide about specific treatment and appropriate case management. Real-time PCR is commonly used for specific virus detection in clinical samples. A diagnostic microarray containing probes for all human viruses, could replace hundreds of specific PCR-reactions and identify all viruses by one assay and thereby remove the need for a clear clinical hypothesis. We show that the Microbial Detection Array successfully identifies emerging viruses present in both non-clinical and clinical samples.
2013-11-15 | GSE52324 | GEO
Project description:Emerging viruses are usually endemic to tropical and sub-tropical regions of the world, but increased global travelling, climate changes and changes in lifestyle are believed to contribute to the spread of these viruses into new regions. For many of them, the disease symptoms are similar to each other, as well as to other more common diseases, making them difficult to diagnose. A rapid identification will help to decide about specific treatment and appropriate case management. Real-time PCR is commonly used for specific virus detection in clinical samples. A diagnostic microarray containing probes for all human viruses, could replace hundreds of specific PCR-reactions and identify all viruses by one assay and thereby remove the need for a clear clinical hypothesis. We show that the Microbial Detection Array successfully identifies emerging viruses present in both non-clinical and clinical samples. Fifteen clinical samples and 27 non-clinical samples (cell culture supernantants or purified viral DNA or RNA) were analyzed for presence of emerging viruses using the MDA microarray.
2013-11-15 | E-GEOD-52324 | biostudies-arrayexpress
Project description:Emerging viruses are usually endemic to tropical and sub-tropical regions of the world, but increased global travelling, climate changes and changes in lifestyle are believed to contribute to the spread of these viruses into new regions. For many of them, the disease symptoms are similar to each other, as well as to other more common diseases, making them difficult to diagnose. A rapid identification will help to decide about specific treatment and appropriate case management. Real-time PCR is commonly used for specific virus detection in clinical samples. A diagnostic microarray containing probes for all human viruses, could replace hundreds of specific PCR-reactions and identify all viruses by one assay and thereby remove the need for a clear clinical hypothesis. We show that the Microbial Detection Array successfully identifies emerging viruses present in both non-clinical and clinical samples.
2014-03-05 | GSE55576 | GEO
Project description:Emerging viruses are usually endemic to tropical and sub-tropical regions of the world, but increased global travelling, climate changes and changes in lifestyle are believed to contribute to the spread of these viruses into new regions. For many of them, the disease symptoms are similar to each other, as well as to other more common diseases, making them difficult to diagnose. A rapid identification will help to decide about specific treatment and appropriate case management. Real-time PCR is commonly used for specific virus detection in clinical samples. A diagnostic microarray containing probes for all human viruses, could replace hundreds of specific PCR-reactions and identify all viruses by one assay and thereby remove the need for a clear clinical hypothesis. We show that the Microbial Detection Array successfully identifies emerging viruses present in both non-clinical and clinical samples. Twenty-four clinical samples and 40 non-clinical samples (cell culture supernantants or purified viral DNA or RNA) were analyzed for presence of emerging viruses using the MDA microarray.
2014-03-05 | E-GEOD-55576 | biostudies-arrayexpress
Project description:Viruses transmitted by small mammals and arthropods serve as global threats to humans. Most emergent and re-emergent viral agents are transmitted by these groups; therefore, the development of high-throughput screening methods for the detection and surveillance of such viruses is of great interest. In this study, we describe a DNA microarray platform that can be used for screening all viruses transmitted by small mammals and arthropods (SMAvirusChip) with nucleotide sequences that have been deposited in the GenBank. SMAvirusChip was designed with more than 15,000 oligonucleotide probes (60-mers), including viral and control probes. Two SMAvirusChip versions were designed: SMAvirusChip v1 contains 4209 viral probes for the detection of 409 viruses, while SMAvirusChip v2 contains 4943 probes for the detection of 416 viruses. SMAvirusChip was evaluated with 20 laboratory reference-strain viruses. These viruses could be specifically detected when alone in a sample or when artificially mixed within a single sample. The sensitivity of SMAvirusChip was evaluated using 10-fold serial dilutions of dengue virus (DENV). The results showed a detection limit as low as 2.6E3 RNA copies/mL. Additionally, the sensitivity was one log10 lower (2.6E2 RNA copies/mL) than quantitative real-time RT-PCR and sufficient to detect viral genomes in clinical samples. The detection of DENV in serum samples of DENV-infected patients (n= 6) and in a whole blood sample spiked with DENV confirmed the applicability of SMAvirusChip for the detection of viruses in clinical samples. In addition, in a pool of mosquito samples spiked with DENV, the virus was also detectable. SMAvirusChip was able to specifically detect viruses in cell cultures, serum samples, total blood samples and a pool of mosquitoes, confirming that cellular RNA/DNA did not interfere with the assay. Therefore, SMAvirusChip may represent an innovative surveillance method for the rapid identification of viruses transmitted by small mammals and arthropods.
2016-09-05 | GSE81391 | GEO
Project description:Viruses transmitted by small mammals and arthropods serve as global threats to humans. Most emergent and re-emergent viral agents are transmitted by these groups; therefore, the development of high-throughput screening methods for the detection and surveillance of such viruses is of great interest. In this study, we describe a DNA microarray platform that can be used for screening all viruses transmitted by small mammals and arthropods (SMAvirusChip) with nucleotide sequences that have been deposited in the GenBank. SMAvirusChip was designed with more than 15,000 oligonucleotide probes (60-mers), including viral and control probes. Two SMAvirusChip versions were designed: SMAvirusChip v1 contains 4209 viral probes for the detection of 409 viruses, while SMAvirusChip v2 contains 4943 probes for the detection of 416 viruses. SMAvirusChip was evaluated with 20 laboratory reference-strain viruses. These viruses could be specifically detected when alone in a sample or when artificially mixed within a single sample. The sensitivity of SMAvirusChip was evaluated using 10-fold serial dilutions of dengue virus (DENV). The results showed a detection limit as low as 2.6E3 RNA copies/mL. Additionally, the sensitivity was one log10 lower (2.6E2 RNA copies/mL) than quantitative real-time RT-PCR and sufficient to detect viral genomes in clinical samples. The detection of DENV in serum samples of DENV-infected patients (n= 6) and in a whole blood sample spiked with DENV confirmed the applicability of SMAvirusChip for the detection of viruses in clinical samples. In addition, in a pool of mosquito samples spiked with DENV, the virus was also detectable. SMAvirusChip was able to specifically detect viruses in cell cultures, serum samples, total blood samples and a pool of mosquitoes, confirming that cellular RNA/DNA did not interfere with the assay. Therefore, SMAvirusChip may represent an innovative surveillance method for the rapid identification of viruses transmitted by small mammals and arthropods.
2016-09-06 | GSE81393 | GEO