Tomlinson, J. H. | Search bioRxiv

bioRxiv2025

Interactions between tick-borne encephalitis virus non-structural protein 1 and blood-brain barrier tight junction proteins: potential clues to strain-specific neuropathogenicity

Tick-borne encephalitis virus (TBEV) invades the central nervous system (CNS) through strain-specific mechanisms that remain poorly understood. In mosquito-borne orthoflaviviruses such as dengue and yellow fever viruses, the non-structural protein 1 (NS1) has been shown to disrupt endothelial barrier integrity by targeting tight junction proteins (TJPs), thereby facilitating viral neuroinvasion. However, comparable mechanisms in TBEV remain largely unexplored. Here, we investigate the potential interaction of NS1 from high (Hypr)- and low (Vs)-pathogenicity TBEV strains to different blood-brain barrier (BBB) TJPs, using AlphaFold3 (AF3) multimer modelling and in vitro binding assays. We find that NS1 from the highly pathogenic strain exhibits higher predicted interactions with multiple TJPs, including two junctional adhesion molecules (JAM-A, JAM-B) and Claudin-10, which are critical component of the paracellular barrier. In contrast, low pathogenic strain Vs interaction was limited to JAM-A and Claudin-5. Experimental validation using recombinant NS1 proteins revealed strain-specific binding profiles: Hypr NS1 displayed high-affinity, saturable direct binding to immobilized JAM-A (KD = 0.271 {micro}g/mL), whereas Vs NS1 showed negligible interaction (KD = 0.000023 {micro}g/mL). No binding to ZO-1, a barrier scaffold lacking an extracellular domain, was observed for either strain. This differential interaction may be modulated by 22 specific amino acid substitutions localized to the Wing and {beta}-ladder domains, which distinguish the highly neurovirulent Hypr strain from the avirulent Vs strain. Notably, despite its weak JAM-A interaction, the Vs strain is associated with slow-progressing infections that can culminate in chronic neurological disease, highlighting the need for further investigation into noncanonical pathways of neuroinvasion. GraphicsO_ST_ABSA graphical illustration of low-and high-pathogenic TBEV mediated compromised blood-brain barrier (BBB)C_ST_ABSThe left panel illustrates the cellular architecture of the BBB, including pericytes, endothelial cells, astrocytes, and blood vessels. The central panel depicts an intact BBB with tight junction proteins (JAM-A, ZO-1, Claudin) maintaining barrier integrity. The right panel shows strain-specific pathogenesis, highlighting a direct interaction between NS1 from the highly pathogenic Hypr strain and JAM-A, which may contribute to differential neuroinvasive outcomes. The schematic was created using BioRender.com. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=78 SRC="FIGDIR/small/669603v1_ufig1.gif" ALT="Figure 1"> View larger version (22K): org.highwire.dtl.DTLVardef@3e03c2org.highwire.dtl.DTLVardef@168e8f8org.highwire.dtl.DTLVardef@9703f1org.highwire.dtl.DTLVardef@83e24a_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

bioRxiv2021

Detection of Cell-Cell Interactions via Photocatalytic Cell Tagging

Cell-cell interactions drive essential biological processes critical to cell and tissue development, function, pathology, and disease outcome. The growing appreciation of immune cell interactions within disease environments has led to significant efforts to develop protein- and cell-based therapeutic strategies. A better understanding of these cell-cell interactions will enable the development of effective immunotherapies. However, characterizing these complex cellular interactions at molecular resolution in their native biological contexts remains challenging. To address this, we introduce photocatalytic cell tagging (PhoTag), a modality agnostic platform for profiling cell-cell interactions. Using photoactivatable flavin-based cofactors, we generate phenoxy radical tags for targeted labeling at the cell surface. Through various targeting modalities (e.g. MHC-Multimer, antibody, single domain antibody (VHH)) we deliver a flavin photocatalyst for cell tagging within monoculture, co-culture, and peripheral blood mononuclear cells. PhoTag enables highly selective tagging of the immune synapse between an immune cell and an antigen-presenting cell through targeted labeling at the cell-cell junction. This allowed for the ability to profile gene expression-level differences between interacting and bystander cell populations. Given the modality agnostic and spatio-temporal nature of PhoTag, we envision its broad utilization to detect and profile intercellular interactions within an immune synapse and other confined cellular regions for any biological system.

immunology↗