2025/01/27 by Claire Fernandes, Arvin Tejnarine Persaud, Deepa Chaphekhar +4 · 1 voice
Agricultural and Biological Sciences · Medicine · #Animal Virus Infections Studies #Best practice #Biology #Computational biology #Computer science #Context (archaeology) #Coronavirus disease 2019 (COVID-19) #Data science #Disease #Infectious disease (medical specialty) #Political science #Respiratory viral infections research #Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) #Viral Infections and Vectors #Virology
paper · doi:10.1128/jvi.01717-24
openalex publication_date 2025/01/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/06
The imperative for developing robust tools to detect, analyze, and characterize viruses has become increasingly evident as they continue to threaten human health. In this review, we focus on recent advancements in studying human viruses with flow virometry (FV), an emerging technique that has gained considerable momentum over the past 5 years. These advancements include the application of FV in viral surface phenotyping, viral protein functionality, virus sorting, vaccine development, and diagnostics. With examples illustrated using primary data from our recent studies, we demonstrate that FV is a powerful yet underutilized methodology that, when employed with best practices and experimental rigor, can be highly valuable for studying individual virion heterogeneity, virus phenotypes, and virus-antibody interactions. In this review, we also address the current challenges when performing FV studies, propose strategies to overcome these obstacles, and outline best practices for both new and experienced researchers. Finally, we discuss the promising future prospects of FV within the broader context of virology research.