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The lytic transcriptome of Kaposi's sarcoma-associated herpesvirus reveals extensive transcription of noncoding regions, including regions antisense to important genes.

ABSTRACT: Genomewide analyses of the mammalian transcriptome have revealed that large tracts of sequence previously annotated as noncoding are frequently transcribed and give rise to stable RNA. Although the transcription of individual genes of the Kaposi's sarcoma-associated herpesvirus (KSHV) has been well studied, little is known of the architecture of the viral transcriptome on a genomewide scale. Here we have employed a genomewide tiling array to examine the lytic transcriptome of the Kaposi's sarcoma-associated herpesvirus, KSHV. Our results reveal that during lytic growth (but not during latency), there is extensive transcription from noncoding regions, including both intergenic regions and, especially, noncoding regions antisense to known open reading frames (ORFs). Several of these transcripts have been characterized in more detail, including (i) a 10-kb RNA antisense to the major latency locus, including many of its microRNAs as well as its ORFs; (ii) a 17-kb RNA antisense to numerous ORFs at the left-hand end of the genome; and (iii) a 0.7-kb RNA antisense to the viral homolog of interleukin-6 (vIL-6). These studies indicate that the lytic herpesviral transcriptome resembles a microcosm of the host transcriptome and provides a useful system for the study of noncoding RNAs.

SUBMITTER: Chandriani S

PROVIDER: S-EPMC2916530 | biostudies-literature | 2010 Aug

REPOSITORIES: biostudies-literature

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The lytic transcriptome of Kaposi's sarcoma-associated herpesvirus reveals extensive transcription of noncoding regions, including regions antisense to important genes.

Chandriani Sanjay S Xu Yiyang Y Ganem Don D

Journal of virology 20100609 16

Genomewide analyses of the mammalian transcriptome have revealed that large tracts of sequence previously annotated as noncoding are frequently transcribed and give rise to stable RNA. Although the transcription of individual genes of the Kaposi's sarcoma-associated herpesvirus (KSHV) has been well studied, little is known of the architecture of the viral transcriptome on a genomewide scale. Here we have employed a genomewide tiling array to examine the lytic transcriptome of the Kaposi's sarcom ...[more]

PMID: 20534856

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Project description:The regulation of latency is central to herpesvirus biology. Recent transcriptome-wide surveys have uncovered evidence for promiscuous transcription across the entirety of the Kaposi's sarcoma-associated herpesvirus (KSHV) genome and postulated the existence of multiple viral long noncoding RNAs (lncRNAs). Next-generation sequencing studies are highly dependent on the specific experimental approach and particular algorithms of analysis and therefore benefit from independent confirmation of the results. The antisense-to-latency transcript (ALT) lncRNA was discovered by genome-tiling microarray (Chandriani et al., J Virol 86:7934-7942, 2010, https://doi.org/10.1128/JVI.00645-10). To characterize ALT in detail, we physically isolated this lncRNA by a strand-specific hybrid capture assay and then employed transcriptome sequencing and novel reverse transcription-PCR (RT-PCR) assays to distinguish all RNA species in the KSHV latency region. These methods confirm that ALT initiates at positions 120739/121012 and encodes a single splice site, which is shared with the 3'-coterminal K14-vGPCR/ORF74 mRNA, terminating at 130873 (GenBank accession number GQ994935), resulting in an ?10,000-nucleotide transcript. No shorter ALT isoforms were identified. This study also identified a novel intron within the LANA 5' untranslated region using a splice acceptor at 127888. In summary, ALT joins PAN/nut1/T1.1 as a bona fide lncRNA of KSHV with potentially important roles in viral gene regulation and pathogenesis. IMPORTANCE:Increasing data support the importance of noncoding RNAs (ncRNAs), including microRNAs (miRNAs) and lncRNAs, which have been shown to exert critical regulatory functions without coding for recognizable proteins. Defining the sequences of these ncRNAs is essential for future studies aiming to functionally characterize a specific ncRNA. Most lncRNA studies are highly dependent on high-throughput sequencing and bioinformatic analyses, few studies follow up on the initial predictions, and analyses are at times discordant. The manuscript characterizes one key viral lncRNA, ALT, by physically isolating ALT and by a sequencing-independent assay. It provides for a simple assay to monitor lncRNA expression in experimental and clinical samples. ALT is expressed antisense to the major viral latency transcripts encoding LANA as well as the viral miRNAs and thus has the potential to regulate this key part of the viral life cycle.

Project description:UnlabelledKaposi's sarcoma-associated herpesvirus (KSHV) is the causative agent of commonly fatal malignancies of immunocompromised individuals, including primary effusion lymphoma (PEL) and Kaposi's sarcoma (KS). A hallmark of all herpesviruses is their biphasic life cycle-viral latency and the productive lytic cycle-and it is well established that reactivation of the KSHV lytic cycle is associated with KS pathogenesis. Therefore, a thorough appreciation of the mechanisms that govern reactivation is required to better understand disease progression. The viral protein replication and transcription activator (RTA) is the KSHV lytic switch protein due to its ability to drive the expression of various lytic genes, leading to reactivation of the entire lytic cycle. While the mechanisms for activating lytic gene expression have received much attention, how RTA impacts cellular function is less well understood. To address this, we developed a cell line with doxycycline-inducible RTA expression and applied stable isotope labeling of amino acids in cell culture (SILAC)-based quantitative proteomics. Using this methodology, we have identified a novel cellular protein (AT-rich interacting domain containing 3B [ARID3B]) whose expression was enhanced by RTA and that relocalized to replication compartments upon lytic reactivation. We also show that small interfering RNA (siRNA) knockdown or overexpression of ARID3B led to an enhancement or inhibition of lytic reactivation, respectively. Furthermore, DNA affinity and chromatin immunoprecipitation assays demonstrated that ARID3B specifically interacts with A/T-rich elements in the KSHV origin of lytic replication (oriLyt), and this was dependent on lytic cycle reactivation. Therefore, we have identified a novel cellular protein whose expression is enhanced by KSHV RTA with the ability to inhibit KSHV reactivation.ImportanceKaposi's sarcoma-associated herpesvirus (KSHV) is the causative agent of fatal malignancies of immunocompromised individuals, including Kaposi's sarcoma (KS). Herpesviruses are able to establish a latent infection, in which they escape immune detection by restricting viral gene expression. Importantly, however, reactivation of productive viral replication (the lytic cycle) is necessary for the pathogenesis of KS. Therefore, it is important that we comprehensively understand the mechanisms that govern lytic reactivation, to better understand disease progression. In this study, we have identified a novel cellular protein (AT-rich interacting domain protein 3B [ARID3B]) that we show is able to temper lytic reactivation. We showed that the master lytic switch protein, RTA, enhanced ARID3B levels, which then interacted with viral DNA in a lytic cycle-dependent manner. Therefore, we have added a new factor to the list of cellular proteins that regulate the KSHV lytic cycle, which has implications for our understanding of KSHV biology.

Dataset Information

The lytic transcriptome of Kaposi's sarcoma-associated herpesvirus reveals extensive transcription of noncoding regions, including regions antisense to important genes.

Publications

The lytic transcriptome of Kaposi's sarcoma-associated herpesvirus reveals extensive transcription of noncoding regions, including regions antisense to important genes.

Similar Datasets

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