Yen, T.-Y. | Search bioRxiv

bioRxiv2025

Targeting Wnt Signaling and DNAJB6/MRJ-L as a Dual Anti-RSV Strategy: Insights into a Positive Regulatory Loop

Respiratory syncytial virus (RSV) is a major cause of severe respiratory infections, yet effective treatments are lacking. We found that the molecular chaperon DNAJB6/MRJ plays an essential role in RSV replication. Depletion of the long isoform of MRJ (MRJ-L) suppresses RSV replication. Transcriptomic analysis revealed that MRJ-L depletion downregulates Wnt signaling pathways. A pharmacological inhibitor of Wnt signaling suppressed RSV propagation and unexpectedly reduced MRJ-L expression, suggesting a positive regulatory loop between Wnt signaling and MRJ-L expression. Notably, simultaneous inhibition of Wnt signaling and MRJ-L additively suppressed RSV replication, suggesting that the Wnt-MRJ-L axis may serve as a new therapeutic target. This study provides insights into host-RSV interactions and potential antiviral strategies. Author SummaryThe molecular chaperone DNAJB6/MRJ has been implicated in the replication of respiratory syncytial virus (RSV), although the precise mechanisms remain unclear. In this study, we discovered that MRJ may influence RSV replication via Wnt signaling pathways. Specifically, we demonstrated that Wnt signaling inhibitor Wnt-C59 significantly reduced RSV replication by suppressing the synthesis of viral mRNA and genome/antigenome. Moreover, a positive feedback loop of the Wnt-MRJ axis may play a critical role in regulating RSV replication. Importantly, RSV replication was suppressed additively by inhibition of Wnt signaling and depletion of MRJ-L. Thus, a dual-targeted therapeutic approach may be effective in combating RSV infections.

pathology↗

bioRxiv2023

Grid cells perform path integration in multiple reference frames during self-motion-based navigation

With their periodic firing pattern, grid cells are considered a fundamental unit of a neural network performing path integration. The periodic firing patterns of grid cells have been observed mainly during behaviors with little navigational demands, and the firing patterns of grid cells in animals navigating 2D environments using path integration are largely unknown. Here, we recorded the activity of grid cells in mice performing the AutoPI task, a task assessing homing based on path integration. Using artificial deep neural networks to decode the animals moment-to-moment movement vectors, we found that grid cells perform path integration over short trajectories and change their reference frames within single trials. More specifically, grid cell modules re-anchor to a task-relevant object via a translation of the grid pattern. The code for movement direction in grid modules drifts as the animal navigates using self-motion cues, and this drift predicts the homing direction of the mouse. These results reveal the computations in grid cell circuits during self-motion-based navigation.

neuroscience↗