Inhibitors of Tax1‐PDZ Interactions Block HTLV‐1 Viral Transmission by Changing EV Composition
Why this work is in the frame
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Bibliographic record
Abstract
Extracellular vesicles (EVs) are known to facilitate infection by enveloped RNA viruses including the Human T-cell leukemia virus type-1 (HTLV-1). HTLV-1-encoded proteins, like the transactivator and oncoprotein Tax-1, are loaded into EVs but their precise impact on EV cargos is not yet known. Here, we report a comprehensive interaction map between Tax-1 and the human PDZ (PSD95/DLG/ZO-1) proteins that regulate EVs formation and composition. We show that Tax-1 interacts with more than one-third of hPDZome components, including proteins involved in cell cycle, cell-cell junctions, cytoskeleton organization and membrane complex assembly. We extensively characterized Tax-1 interaction with syntenin-1, an evolutionary conserved PDZ hub that controls EV biogenesis. Using nuclear magnetic resonance (NMR) spectroscopy, we have determined the structural basis of the interaction between the C-terminal PDZ binding motif of Tax-1, and two PDZ domains of syntenin-1. Importantly, we show that a small molecule able to inhibit HTLV-1 cell-to-cell transmission breaks the Tax-1/syntenin-1 interaction, impacts the levels of syntenin-1 and viral proteins in EVs, and shifts the EV composition toward cellular antiviral proteins and microRNAs, including the miR-320 family. Consequently, we demonstrate that mimics of miR-320c, encapsulated into EVs, have antiviral activities with a potential to be used against HTLV-1 induced diseases.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it