Ran overexpression leads to a compromised transcription factor nuclear translocation and diminished T-cells response to TCR activation (35.8)
Bibliographic record
Abstract
Abstract Ran (Ras-related nuclear protein) is a Ras family GTPase, and its documented functions are the regulation of DNA replication, cell cycle progression, nuclear structure formation, RNA processing and exportation, and nuclear protein importation. In this study, we performed detailed mapping of Ran expression during mouse ontogeny using in situ hybridization. High Ran expression was found various organs and tissues including the thymus cortex and spleen white pulp. Ran was induced in T cells 24 hours after their activation. Ran’s function in the immune system was investigated. In transgenic T cells with actin promoter-driven Ran expression, there was compromised activation marker expression, lymphokine secretion, and proliferation upon T cell receptor (TCR) activation in vitro, compared with wild-type T cells. At the molecular level, transgenic T cells were defective in nuclear factor kappa-B (NFκB), activator protein 1 (AP-1) and nuclear factor of activated T cells (NFAT) nuclear translocation. Our experiments showed, for the first time, that Ran has important regulatory function in T-cell activation, and such function is probably related to its role in nuclear import of critical transcription factors.
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".