Dataset Information

Coupled Transcriptome and Proteome Analysis of Human Lymphotropic Tumor Viruses: Insights on the Detection and Discovery of Viral Genes

ABSTRACT: 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.

OTHER RELATED OMICS DATASETS IN: MSV000079036PRJNA151379

ORGANISM(S): Human gammaherpesvirus 8 human gammaherpesvirus 4 Homo sapiens

PROVIDER: GSE34538 | GEO | 2011/12/30

SECONDARY ACCESSION(S): PRJNA151379

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Primary effusion lymphomas (PELs) are specifically associated with KSHV/HHV-8 infection, and most frequently occur in HIV-positive individuals as lymphomatous effusions in the serous cavities without a detectable solid tumor mass. Most PELs have concomitant EBV infection, suggesting that EBV is an important pathogenetic co-factor, although other as yet unidentified cofactors, such as cellular genetic alterations, are also likely to play a role. Lymphomatous effusions that lack KSHV also occur; these are frequently EBV-associated in the setting of HIV infection. Here we used gene expression profile analysis to determine the viral impact on cellular gene expression and the pathogenesis of these lymphomatous effusions. We used the Affymetrix HG-U133A microarray to analyze the gene expression profile of these effusion lymphomas (three virologic groups: KSHV-positive EBV-positive PELs, KSHV-positive EBV-negative PELs and KSHV-negative EBV-positive lymphomatous effusions). Nine cell lines derived from patients with lymphomatous effusions (three from each virologic group and each cell line was done in duplicates.) and three PEL patient samples were used in the study. Our results suggest that KSHV-positive PELs are very different from KSHV-negative lymphomatous effusions, and the genes that are differentially expressed include apoptosis regulators, cell cycle regulators, transcriptional factors and signal transduction regulators. KSHV clearly plays a dominant role in the phenotype of PEL. Within the KSHV-positive PELs, two subgroups can be identified, which were correlated with their EBV viral status. Among these genes (45 gene probes), four were regulators of the MAP kinase pathway that were up-regulated in the KSHV-positive, EBV-negative PELs, suggesting that in the absence of EBV, events that lead to the activation of the MAP kinase pathway may act as a cofactor for the development of PEL. Next we determined whether we could predict the viral status of the three primary patient cases of PEL based on the 45 gene probes that were differentially expressed in KSHV-positive cell lines according to EBV status (pt. 1: KSHV-positive, EBV-positive; Pt. 2: KSHV-positive, low proportion of EBV-positive; pt. 3: KSHV-positive EBV-negative), and we could. Samples: KSHV-positive EBV-positive cell lines: BC-1, BC-2, BC-5 KSHV-positive EBV-negative cell lines: BC-3, BCBL-1, PEL-5 KSHV-negative EBV-positive cell lines: IBL4, SM1, BCKN-1 Patient 1: KSHV-positive, EBV-positive Patient 2: KSHV-positive, EBV-positive (low number of positive cells) Patient 3: KSHV-positive, EBV-negative.

Project description:Primary effusion lymphomas (PELs) are specifically associated with KSHV/HHV-8 infection, and most frequently occur in HIV-positive individuals as lymphomatous effusions in the serous cavities without a detectable solid tumor mass. Most PELs have concomitant EBV infection, suggesting that EBV is an important pathogenetic co-factor, although other as yet unidentified cofactors, such as cellular genetic alterations, are also likely to play a role. Lymphomatous effusions that lack KSHV also occur; these are frequently EBV-associated in the setting of HIV infection. Here we used gene expression profile analysis to determine the viral impact on cellular gene expression and the pathogenesis of these lymphomatous effusions. We used the Affymetrix HG-U133A microarray to analyze the gene expression profile of these effusion lymphomas (three virologic groups: KSHV-positive EBV-positive PELs, KSHV-positive EBV-negative PELs and KSHV-negative EBV-positive lymphomatous effusions). Nine cell lines derived from patients with lymphomatous effusions (three from each virologic group and each cell line was done in duplicates.) and three PEL patient samples were used in the study. Our results suggest that KSHV-positive PELs are very different from KSHV-negative lymphomatous effusions, and the genes that are differentially expressed include apoptosis regulators, cell cycle regulators, transcriptional factors and signal transduction regulators. KSHV clearly plays a dominant role in the phenotype of PEL. Within the KSHV-positive PELs, two subgroups can be identified, which were correlated with their EBV viral status. Among these genes (45 gene probes), four were regulators of the MAP kinase pathway that were up-regulated in the KSHV-positive, EBV-negative PELs, suggesting that in the absence of EBV, events that lead to the activation of the MAP kinase pathway may act as a cofactor for the development of PEL. Next we determined whether we could predict the viral status of the three primary patient cases of PEL based on the 45 gene probes that were differentially expressed in KSHV-positive cell lines according to EBV status (pt. 1: KSHV-positive, EBV-positive; Pt. 2: KSHV-positive, low proportion of EBV-positive; pt. 3: KSHV-positive EBV-negative), and we could. Samples: KSHV-positive EBV-positive cell lines: BC-1, BC-2, BC-5 KSHV-positive EBV-negative cell lines: BC-3, BCBL-1, PEL-5 KSHV-negative EBV-positive cell lines: IBL4, SM1, BCKN-1 pt. 1: KSHV-positive, EBV-positive pt. 2: KSHV-positive, EBV-positive (low number of positive cells) pt. 3: KSHV-positive, EBV-negative Keywords: other

Project description:Kaposi’s sarcoma-associated herpesvirus (KSHV) is the etiologic agent of primary effusion lymphoma (PEL). All PEL cell lines are infected with KSHV, and 70% are co-infected with Epstein-Barr Virus (EBV). KSHV reactivation from latency requires promoter-specific transactivation by the KSHV Rta protein through interactions with RBP-Jk (CSL), the cellular DNA binding component of the Notch signal transduction pathway. EBV transformation of primary B cells requires EBV nuclear antigen (EBNA)-2 to interact with RBP-Jk to direct the latent viral and cellular gene expression program. Although KSHV Rta and EBV EBNA-2 both require RBP-Jk for transactivation, previous studies have suggested that RBP-Jk-dependent transactivators do not function identically. We have found that the EBV latent protein LMP-1 is expressed in less than 5% of KSHV+/EBV+ PEL cells, but is induced in an Rta-dependent fashion when KSHV reactivates. KSHV Rta transactivates the EBV latency promoters in an RBP-Jk-dependent fashion and forms a ternary complex with RBP-Jk on the promoters. In B cells that are conditionally transformed by EBV alone, we show that KSHV Rta complements a short-term EBNA2 growth deficiency in an autocrine/paracrine manner. Complementaton of EBNA2-deficiency by Rta depends on RBP-Jk and LMP-1, and Rta transactivation is required for optimal growth of KSHV+/EBV+ PEL lines. Our data suggest that Rta can contribute to EBV-driven cellular growth by transactivating RBP-Jk-dependent EBV latency genes. However, our data also suggest that EBNA2 and Rta induce distinct alterations in the cellular proteomes that contribute to growth of infected cells. EREB2-5 cells were transfected and grown in the presence or absence of β-estradiol, as described. Seven days post-transfection, protein extracts were prepared, and 200 ugs. of each were analyzed using the RayBio Human Apoptosis Antibody Array Kit (RayBiotech) as per manufacturers suggestions. The membranes were exposed to autoradiography film for different times to detect the chemiluminescent signals. Images with signals in linear range were quantitated using the program ImageJ [59]. For each membrane, signals from the negative control spots were averaged, and then subtracted from each of the other spots. A signal was considered valid if its value exceeded both its average local background, and the average of all valid negative control values. Valid signals were normalized using the positive control spots (for cellular BID protein). Fold change in signals for each spot were quantitated by dividing by the valid signals for each corresponding spot on the minus β-estradiol membrane. Average fold change, and standard deviation, were calculated for each protein.

Dataset Information

Coupled Transcriptome and Proteome Analysis of Human Lymphotropic Tumor Viruses: Insights on the Detection and Discovery of Viral Genes

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets