Biology subjects

Palmalux, N.

Publications and source records attributed to Palmalux, N..

5 recordsLinked to original sources

bioRxiv2024

XRN1 supplies free nucleotides to feed alphavirus replication

Several RNA viruses induce widespread degradation of cellular mRNAs upon infection; however, the biological significance and mechanistic details of this phenomenon remain unknown. Here, we make use of a model alphavirus, Sindbis virus (SINV), to fill this knowledge gap. We found that SINV triggers cellular RNA decay through the exonuclease XRN1 and the 5-to-3 degradation machinery (5-3DM). These proteins accumulate at viral replication organelles (VROs) and interact with the non-structural protein 1 (nsP1), bringing mRNA degradation into proximity with vRNA synthesis. Our data suggest that monophosphate nucleotides released by cellular RNA decay are recycled through the salvage pathway to feed viral replications. Our work thus reveals a fundamental connection between cellular mRNA degradation and viral replication via nucleotides repurposing. Research highlightsO_LI5-3 RNA decay is essential for the replication of a wide range of viruses. C_LIO_LIXRN1 directly interacts with transcripts which are degraded during infection. C_LIO_LIRNA decay factors and salvage pathway members localise to viral factories. C_LIO_LISupplying nucleosides to several 5-3DM deficient cells facilitates SINV infection. C_LI

biochemistry↗

bioRxiv2024

A Machine Learning Framework to Identify the Correlates of Disease Severity in Acute Arbovirus Infection

Most viral diseases display a variable clinical outcome due to differences in virus strain virulence and/or individual host susceptibility to infection. Understanding the biological mechanisms differentiating a viral infection displaying severe clinical manifestations from its milder forms can provide the intellectual framework toward therapies and early prognostic markers. This is especially true in arbovirus infections, where most clinical cases are present as mild febrile illness. Here, we used a naturally occurring vector-borne viral disease of ruminants, bluetongue, as an experimental system to uncover the fundamental mechanisms of virus-host interactions resulting in distinct clinical outcomes. As with most viral diseases, clinical symptoms in bluetongue can vary dramatically. We reproduced experimentally distinct clinical forms of bluetongue infection in sheep using three bluetongue virus (BTV) strains (BTV-1IT2006, BTV-1IT2013 and BTV-8FRA2017). Infected animals displayed clinical signs varying from clinically unapparent, to mild and severe disease. We collected and integrated clinical, haematological, virological, and histopathological data resulting in the analyses of 332 individual parameters from each infected and uninfected control animal. We subsequently used machine learning to identify the key viral and host processes associated with disease pathogenesis. We identified five different fundamental processes affecting the severity of bluetongue: (i) virus load and replication in target organs, (ii) modulation of the host type-I IFN response, (iii) pro-inflammatory responses, (iv) vascular damage, and (v) immunosuppression. Overall, our study using an agnostic machine learning approach, can be used to prioritise the different pathogenetic mechanisms affecting the disease outcome of an arbovirus infection.

microbiology↗

bioRxiv2023

Phenotyping the virulence of SARS-CoV-2 variants in hamsters by digital pathology and machine learning

SARS-CoV-2 has continued to evolve throughout the COVID-19 pandemic, giving rise to multiple variants of concern (VOCs) with different biological properties. As the pandemic progresses, it will be essential to test in near real time the potential of any new emerging variant to cause severe disease. BA.1 (Omicron) was shown to be attenuated compared to the previous VOCs like Delta, but it is possible that newly emerging variants may regain a virulent phenotype. Hamsters have been proven to be an exceedingly good model for SARS-CoV-2 pathogenesis. Here, we aimed to develop robust quantitative pipelines to assess the virulence of SARS-CoV-2 variants in hamsters. We used various approaches including RNAseq, RNA in situ hybridization, immunohistochemistry, and digital pathology, including software assisted whole section imaging and downstream automatic analyses enhanced by machine learning, to develop methods to assess and quantify virus-induced pulmonary lesions in an unbiased manner. Initially, we used Delta and Omicron to develop our experimental pipelines. We then assessed the virulence of recent Omicron sub-lineages including BA.5, XBB, BQ.1.18, BA.2 and BA.2.75. We show that in experimentally infected hamsters, accurate quantification of alveolar epithelial hyperplasia and macrophage infiltrates represent robust markers for assessing the extent of virus-induced pulmonary pathology, and hence virus virulence. In addition, using these pipelines, we could reveal how some Omicron sub-lineages (e.g., BA.2.75) have regained virulence compared to the original BA.1. Finally, to maximise the utility of the digital pathology pipelines reported in our study, we developed an online repository containing representative whole organ histopathology sections that can be visualised at variable magnifications (https://covid-atlas.cvr.gla.ac.uk). Overall, this pipeline can provide unbiased and invaluable data for rapidly assessing newly emerging variants and their potential to cause severe disease.

microbiology↗

bioRxiv2023

Incorporation of genome-bound cellular proteins into HIV-1 particles regulates viral infection

The initial steps of the human immunodeficiency virus 1 (HIV-1) lifecycle are regulated by cellular RNA-binding proteins (RBPs). To understand the scope of these early host-virus interactions, we developed in virion RNA interactome capture (ivRIC), which allowed the comprehensive and systematic profiling of the proteins that interact with the HIV-1 genomic (g)RNA inside viral particles. ivRIC identified 104 cellular RBPs within the encapsidated HIV-1 ribonucleoprotein, many of which are typically found in the cellular nucleus. Notably, these nuclear RBPs interact with the HIV-1 RBP Rev, suggesting that they associate with HIV-1 gRNA during its nuclear life. Functional assays show that ivRBPs are important for HIV-1, including PURA and PURB, which control viral gene expression and infectivity through interaction with critical sequences in the gRNA. Our characterisation of the composition of the encapsidated ribonucleoprotein of HIV-1 uncovers new host-virus interactions that invokes new mechanisms for controlling HIV-1 infection.

molecular biology↗

bioRxiv2021

Compositional analysis of Sindbis virus ribonucleoproteins reveals an extensive co-opting of key nuclear RNA-binding proteins

RNA is a central molecule for RNA viruses, acting as mRNA and genome. However, the interactions that viral (v)RNA establishes with the host cell is only starting to be elucidated. Here, we determine with unprecedented depth the composition of the ribonucleoproteins (RNPs) of the prototypical arthropod-borne Sindbis virus (SINV) using viral RNA interactome capture. We show that SINV RNAs engage with hundreds of cellular proteins and pathways, including a group of nuclear RNA-binding proteins (RBPs) with unknown roles in infection. Combining subcellular fractionation and proteomics with several orthogonal approaches, we demonstrate that these nuclear RBPs are selectively redistributed to the cytoplasm after infection, where they associate with the viral replication organelles. These nuclear RBPs potently supress viral gene expression, with activities spanning viral species and families. Our study provides a comprehensive and systematic analysis of SINV RNP composition, revealing a network of nuclear RBPs with moonlighting antiviral function. Research highlightsO_LISINV RNAs interact with over four hundred cellular RBPs C_LIO_LISINV induces selective cytoplasmic translocation of a subset of nuclear RBPs C_LIO_LIThese nuclear RBPs display potent antiviral effects C_LIO_LIThe SF3B complex binds to SINV RNA and supresses infection in a splicing-independent manner C_LI

microbiology↗