Biology subjects

Prusty, B.

Publications and source records attributed to Prusty, B..

6 recordsLinked to original sources

bioRxiv2023

Correcting 4sU induced quantification bias in nucleotide conversion RNA-seq data

Nucleoside analogues like 4-thiouridine (4sU) are used to metabolically label newly synthesized RNA. Chemical conversion of 4sU before sequencing induces T-to-C mismatches in reads sequenced from labelled RNA, allowing to obtain total and labelled RNA expression profiles from a single sequencing library. Cytotoxicity due to extended periods of labelling or high 4sU concentrations has been described, but the effects of extensive 4sU labelling on expression estimates from nucleotide conversion RNA-seq have not been studied. Here, we performed nucleotide conversion RNA-seq with escalating doses of 4sU with short-term labelling (1h) and over a progressive time course (up to 2h) in different cell lines. With high concentrations or at later time points, expression estimates were biased in an RNA half-life dependent manner. We show that bias arose by a combination of reduced mappability of reads carrying multiple conversions, and a global, unspecific underrepresentation of labelled RNA due to impaired reverse transcription efficiency and potentially global reduction of RNA synthesis. We developed a computational tool to rescue unmappable reads, which performed favourably compared to previous read mappers, and a statistical method, which could fully remove remaining bias. All methods developed here are freely available as part of our GRAND-SLAM pipeline and grandR package.

bioinformatics↗

bioRxiv2022

Decoding murine cytomegalovirus

The genomes of both human cytomegalovirus (HCMV) and murine cytomegalovirus (MCMV) were first sequenced over 20 years ago. Similar to HCMV, the MCMV genome had initially been proposed to harbor {approx}170 open reading frames (ORFs). More recently, omics approaches revealed HCMV gene expression to be substantially more complex comprising several hundreds of translated ORFs. Here, we provide a state-of-the art reannotation of lytic MCMV gene expression based on integrative analysis of a large set of omics data. Our data reveal 363 viral transcription start sites (TiSS) that give rise to 380 and 454 viral transcripts and ORFs, respectively. The latter include >200 small ORFs, some of which represented the most highly expressed viral gene products. By combining TiSS profiling with metabolic RNA labelling and chemical nucleotide conversion sequencing (dSLAM-seq), we provide a detailed picture of the expression kinetics of viral transcription. This not only resulted in the identification of a novel MCMV immediate early transcript encoding the m166.5 ORF, which we termed ie4, but also revealed a group of well-expressed viral transcripts that are induced later than canonical true late genes and contain an initiator element (Inr) but no TATA- or TATT-box in their core promoters. We show that viral uORFs tune gene expression of longer viral ORFs expressed in cis at translational level. Finally, we identify a truncated isoform of the viral NK-cell immune evasin m145 arising from a viral TiSS downstream of the canonical m145 mRNA. Despite being {approx}5-fold more abundantly expressed than the canonical m145 protein it was not required for downregulating the NK cell ligand, MULT-I. In summary, our work will pave the way for future mechanistic studies on previously unknown cytomegalovirus gene products in an important virus animal model. Author summaryWe conducted a comprehensive characterization and reannotation of murine cytomegalovirus (MCMV) gene expression during lytic infection in murine fibroblasts using an integrative multi-omics approach. This unveiled hundreds of novel transcripts that explained the expression of close to 300 so far unknown viral open reading frames (ORFs). Interestingly, small viral ORFs (sORFs) were amongst the most highly expressed viral gene products and thus presumably encode for important viral microproteins of unknown function. However, we also show that sORFs located upstream of larger ORFs tune the expression of the downstream ORFs at the level of translation. We classified viral transcription start sites (TiSS) based on their expression kinetics obtained by a new combination of metabolic RNA labelling with transcription start sites profiling. This not only identified a so far unknown viral immediate-early transcript (ie4, m166.5 RNA) but also revealed a novel class of viral late transcripts that are expressed later than canonical true late genes and lack TATA box-like motifs. We exemplify for the m145 locus how so far unknown TiSS give rise to abundantly expressed truncated viral proteins. In summary, we provide a state-of-the-art annotation of an important model virus, which will be instrumental for future studies on CMV biology, immunology and pathogenesis.

microbiology↗

bioRxiv2022

Multi-omics reveals principles of gene regulation and pervasive non-productive transcription in the human cytomegalovirus genome

For decades, human cytomegalovirus (HCMV) was thought to express {approx}200 viral proteins during lytic infection. In recent years, systems biology approaches uncovered hundreds of additional viral gene products and suggested thousands of viral sites of transcription initiation. Despite all available data, the molecular mechanisms of HCMV gene regulation remain poorly understood. Here, we provide a unifying model of productive HCMV gene expression employing transcription start site profiling combined with metabolic RNA labeling as well as integrative computational analysis of previously published big data. This approach defined the expression of >2,600 high confidence viral transcripts and explained the complex kinetics of viral protein expression by cumulative effects of translation of incoming virion-associated RNA, multiple transcription start sites with distinct kinetics per viral open reading frame, and differences in viral protein stability. Most importantly, we identify pervasive transcription of transient RNAs as a common feature of this large DNA virus with its human host.

microbiology↗

bioRxiv2020

Dissecting HSV-1-induced host shut-off at RNA level

Herpes simplex virus 1 (HSV-1) installs a profound host shut-off during lytic infection. The virion host shut-off (vhs) protein plays a key role in this process by efficiently cleaving both host and viral mRNAs in a translation-initiation-dependent manner. Furthermore, the onset of viral DNA replication is accompanied by a rapid decline in transcriptional activity of the host genome. Both mechanisms have tremendous impact on the RNA expression profile of the infected cells. To dissect their relative contributions and elucidate gene-specific host transcriptional responses throughout the first 8h of lytic HSV-1 infection, we here employed RNA-seq of total, newly transcribed (4sU-labelled) and chromatin-associated RNA in wild-type (WT) and {Delta}vhs infection of primary human fibroblasts. Following virus entry, vhs activity rapidly plateaued at an elimination rate of around 30% of cellular mRNAs per hour until 8h p.i. In parallel, host transcriptional activity dropped down to 10-20%. While the combined effects of both phenomena dominated infection-induced changes in total RNA, extensive gene-specific transcriptional regulation was observable in chromatin-associated RNA. This was surprisingly concordant between WT HSV-1 and its {Delta}vhs mutant and at least in parts mediated by the embryonic transcription factor DUX4. Furthermore, both WT and {Delta}vhs infection induced strong transcriptional up-regulation of a small subset of genes. Most of these were either poorly or not at all expressed prior to infection but already primed by H3K4me3 histone marks at their promoters. Most interestingly, analysis of chromatin-associated RNA revealed vhs-nuclease-activity-dependent transcriptional down-regulation of at least 150 cellular genes, in particular of many genes encoding integrin adhesome and extracellular matrix components. This was accompanied by a vhs-dependent reduction in protein levels by 8h p.i. for many of these genes. In summary, our study provides a comprehensive picture of the molecular mechanisms that govern cellular RNA metabolism during the first 8h of lytic HSV-1 infection. Author SummaryThe HSV-1 virion host shut-off (vhs) protein efficiently cleaves both host and viral mRNAs in a translation-dependent manner. In this study, we model and quantify changes in vhs activity as well as the virus-induced global loss of host transcriptional activity during productive HSV-1 infection. In general, HSV-1-induced alterations in total RNA levels were found to be predominantly shaped by these two global processes rather than gene-specific regulation. In contrast, chromatin-associated RNA depicted gene-specific transcriptional changes. This revealed highly concordant transcriptional changes in WT and{Delta} vhs infection, confirmed DUX4 as a key transcriptional regulator in HSV-1 infection and depicted vhs-dependent, transcriptional down-regulation of the integrin adhesome and extracellular matrix. The latter explained some of the gene-specific effects previously attributed to vhs-mediated mRNA degradation and resulted in a concordant loss in protein levels by 8h p.i. for many of the respective genes.

microbiology↗

bioRxiv2019

Integrative functional genomics decodes herpes simplex virus 1

Since the genome of herpes simplex virus 1 (HSV-1) was first sequenced more than 30 years ago, its predicted 80 genes have been intensively studied. Here, we unravel the complete viral transcriptome and translatome during lytic infection with base-pair resolution by computational integration of multi-omics data. We identified a total of 201 viral transcripts and 284 open reading frames (ORFs) including all known and 46 novel large ORFs. Multiple transcript isoforms expressed from individual gene loci explain translation of the vast majority of novel viral ORFs as well as N-terminal extensions (NTEs) and truncations thereof. We show that key viral regulators and structural proteins possess NTEs, which initiate from non-canonical start codons and govern subcellular protein localization and packaging. We validated a novel non-canonical large spliced ORF in the ICP0 locus and identified a 93 aa ORF overlapping ICP34.5 that is thus also deleted in the FDA-approved oncolytic virus Imlygic. Finally, we extend the current nomenclature to include all novel viral gene products. Taken together, this work provides a valuable resource for future functional studies, vaccine design and oncolytic therapies.

microbiology↗

bioRxiv2017

Sepsis: Partial least squares structural equation modelling (PLS-SEM) suggests a critical role for anti-inflammatory responses in clinical severity

BackgorundDespite major advances in medicine, Sepsis remains one of the major killers in critical care wards around the world. For several years it was widely believed that an early pro-inflammatory host response is followed by an overwhelming anti-inflammatory phase. The hypo-inflammatory status, termed as Compensatory anti-inflammatory response syndrome (CARS), was proposed to be the primary cause of sepsis-associated mortality. However, this paradiam changed in recent years since there was little evidence to support the linear model of host response and pathogenesis in sepsis. Currently held view is that both inflammatory and anti-inflammatory host responses are stimulated in an overlapping manner. In this study a robust statistical model to study the complex interplay of host cytokines in human sepsis has been developed to evaluate host responses in sepsis that contribute significantly to clinical pathology.\n\nMethodsTwentyseven cytokines/ chemokines were quantified in 139 sepsis patients and multivariate analysis of variance (MANOVA) was performed to assess differences in host responses in different categories of clinical severity. Partial least squares regression based structural equation modelling (PLS-SEM) was used to assess interactions between different groups of cytokines and their contribution to clinical pathology. An array of 23 cytokines was analysed in a mouse model of endotoxemia and a similar mathematical model was constructed.\n\nResultsThe results of MANOVA demonstrated the ability of combined cytokine response to discriminate sepsis patients according to clinical severity or outcome. Structural equation modelling revealed strong positive association between inflammatory and anti-inflammatory cytokines. In human sepsis, anti-inflammatory cytokines emerged as a significant entity associated with clinical severity as assessed by APACHE II scores.\n\nConclusionPLS-SEM modeling of cytokine responses and APACHE II score in human sepsis revealed that anti-inflammatory molecules contribute significantly towards clinical severity. More critically, the model offers emperical evidence for failures of clinical trials conducted during the last two decades in which antagonists of inflammatory host responses for human Sepsis were used for sepsis. The model also provides credence to the notion that inflammatory and anti-inflammatory host responses occur concurrently in both experimental endotoxemia and in human sepsis.

immunology↗