Ras transformation results in cleavage of reticulon protein Nogo-B that is associated with impairment of IFN response
Bibliographic record
Abstract
Dysregulation of Ras signaling is the major cause of various cancers. Aberrant Ras signaling, however, provides a favorable environment for many viruses, making them suitable candidates as cancer-killing therapeutic agents. Susceptibility of cancer cells to such viruses is mainly due to impaired type I interferon (IFN) response, often as a result of activated Ras/ERK signaling in these cells. In this study, we searched for cellular factors modulated by Ras signaling and their potential involvement in promoting viral oncolysis. We found that upon Ras transformation of NIH-3T3 cells, the N-terminus of Nogo-B (reticulon 4) was proteolytically cleaved. Interestingly, Nogo knockdown (KD) in non-transformed and Ras-transformed cells both enhanced virus-induced IFN response, suggesting that both cleaved and uncleaved Nogo can suppress IFN response. However, pharmacological blockade of Nogo cleavage in Ras-transformed cells significantly enhanced virus-induced IFN response, suggesting that cleaved Nogo contributes to enhanced IFN suppression in these cells. We further showed that IFN suppression associated with Ras-induced Nogo-B cleavage was distinct from but synergistic with that associated with an activated Ras/ERK pathway. Our study therefore reveals an important and novel role of Nogo-B and its cleavage in the suppression of anti-viral immune responses by oncogenic Ras transformation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".