LMP1 mediates multinuclearity through downregulation of shelterin proteins and formation of telomeric aggregates
Bibliographic record
Abstract
Hodgkin lymphoma (HL) and Burkitt lymphoma are both germinal center-derived B-cell lymphomas. To assess the consequences of permanent latent membrane protein 1 (LMP1) expression as observed in tumor cells of Epstein-Barr virus (EBV) -associated HL, we analyzed 3-dimensional (3D) telomere dynamics and measured the expression of shelterin proteins at the transcriptional and translational level and their topographic distribution in the EBV-negative Burkitt cell line BJAB stably transfected with an inducible LMP1 system. Stable LMP1 expression led to a highly significant increase of multinucleated cells, nuclear volume, and 3D telomeric aggregates when compared with the LMP1-suppressed BJAB controls. Most importantly, LMP1 induced a significant downregulation of the shelterin components TRF1, TRF2, and POT1 at the transcriptional and translational level, and this downregulation was reversed after resuppression of LMP1. In addition, as revealed by spectral karyotyping, LMP1 induced "outré" giant cells and hypoploid "ghost" cells. This LMP1-induced multinucleation was blocked upon LMP1-independent TRF2 expression. These results show that LMP1-dependent deregulation of telomere stability and nuclear organization via shelterin downregulation, in particular TRF2, favors chromosomal rearrangements. We speculate that telomeric aggregates and ongoing breakage-bridge-fusion cycles lead to disturbed cytokinesis and finally to multinuclearity, as observed in EBV-associated HL.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".