Intracellular trafficking and fate of chimeric adenovirus 5/F35 in human B lymphocytes
Bibliographic record
Abstract
BACKGROUND: Investigation of the molecular processes that control the development and function of lymphocytes is essential for our understanding of humoral immunity, as well as lymphocyte-associated pathogenesis. Adenovirus-mediated gene transfer provides a powerful tool for investigating these processes. However, we observed variation in transgene expression among normal human peripheral blood B lymphocytes from different donors and at distinct stages of differentiation. It is recognized that efficient gene transfer is highly dependent on the intracellular route by which the viruses travel within the host cell. Thus, we aimed to examine this aspect in the present study. METHODS: We analyzed the binding, uptake, intracellular trafficking and fate of CY3-labelled Ad5/F35 vectors in lymphoid cell lines and primary B cells. Furthermore, we decreased protein synthesis levels and rapid endocytosis in a plasma cell line exhibiting a high level of protein synthesis activity and activated transcription and endocytosis in primary B cells, which are less active than plasma cells. RESULTS: Major differences in intracellular trafficking pattern between B cells and plasma cell line U266 were identified that explain the observed divergence in transgene expression efficiency. Importantly, modification of the transcriptional or translational activity of U266 cells reverted the Ad5/F35 endocytic trafficking to that seen in B cells, with a loss of transgene expression, whereas activation of B cells with phorbol 12-myristate 13-acetate had the opposite effects. CONCLUSIONS: Taken together, these results suggest that Ad5/F35 is more efficiently transduced in cells with a strong transcriptional activity as a result of differences in intracellular trafficking. This finding extends our current knowledge of the mechanisms of adenovirus-mediated gene transfer.
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".