Massimo Palmarini

The paper characterizes the pathogenicity of a newly emerged Andes virus (ANDV2026) in hamsters, showing high virulence, airborne shedding, and immune responses not previously described.

This study shows that the SARS-CoV-2 Spike H655Y mutation changes protease preference but does not determine cellular tropism, with RBD interactions being more critical for upper airway adaptation.

The paper shows that alternative splicing of the OAS2 gene generates two antiviral proteins with distinct target specificities and mechanisms.

This study shows that H5N1 viruses' ability to adapt to bovine cells varies across genotypes and time, with key mutations in PB2 playing a role.

This study identifies H5 influenza virus infections in vampire bats, showing their potential to spread the virus between marine and terrestrial ecosystems.

The paper shows that lung structural cells retain an inflammatory imprint after influenza infection, enabling faster viral control upon re-challenge.

The paper identifies protein networks associated with virus-permissive and hostile cellular states through multi-omics analysis, revealing discrepancies between mRNA and protein levels and the role of phosphorylation in infection control.

This study identifies NSm as a critical protein for bunyavirus transmission between vertebrate and arthropod hosts, showing its necessity for midgut infection and spread.

The paper presents a spatially resolved single-cell atlas of lung tissue from fatal Covid19 cases in an African population, revealing a distinct cellular signature and an interferon gamma-dominated response.

This study uses machine learning to identify key viral and host processes associated with varying severity in bluetongue virus infection in sheep.

The paper assesses the virulence of the SARS-CoV-2 BA.2.86 variant in hamsters and finds it is attenuated compared to BA.2.75.

The paper systematically analyzes proteomic and genomic data of SARS-CoV-2 variants to identify how mutations affect viral gene expression, host interactions, and immune evasion.

This study performs a meta-analysis of transcriptomics data to identify immune dysregulation signatures in SARS-CoV-2 infection, linking gene expression patterns to patient age and disease severity.

DisCVR rapidly detects human viruses in clinical samples using HTS data with high sensitivity and specificity, and is accessible on low-resource computers.