Activation and Regulation of Interferon Regulatory Factor 4 in HTLV Type 1-Infected T Lymphocytes
Why this work is in the frame
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Bibliographic record
Abstract
The human T cell leukemia virus type 1 (HTLV-1) is the etiologic agent of adult T cell leukemia (ATL), an aggressive and fatal leukemia of CD4(+) T lymphocytes, and is also associated with a neurological demyelinating disease, tropical spastic paraparesis. The oncogenic potential of HTLV-1 resides in the 353-aa, 40-kDa viral Tax oncoprotein, a positive regulator of viral gene transcription. A novel member of the interferon regulatory factor (IRF) family of transcription factors, IRF-4, was shown to be constitutively produced in HTLV-1-infected cells. IRF-4 is transiently expressed in anti-CD3 and PMA/ionomycin-stimulated T lymphocytes but not in continuous non-Tax-expressing T cell lines. In transient coexpression assays, HTLV-1 Tax protein induced the 1. 2-kb IRF-4 promoter, indicating that Tax functions as an indirect trans-activator of the IRF-4 gene. Furthermore, IRF-4 levels in HTLV-1-infected cells appear to be proportional to the level of Tax expression, suggesting a role for IRF-4 in T cell transformation. In an effort to further characterize IRF-4 function, we identified a novel interaction between IRF-4 and FKBP52, a 59-kDa member of the immunophilin family with peptidyl-prolyl isomerase activity (PPIase). IRF-4-FKBP52 association inhibited the interaction between IRF-4 and its DNA-binding partner PU.1, as well as the trans-activation function of IRF-4/PU.1. FKBP52 association resulted in a structural modification of IRF-4, detectable by immunoblot analysis and by IRF-4 partial proteolysis. These results demonstrate a novel posttranslational mechanism of transcriptional control, mediated through the interaction of an immunophilin with a transcriptional regulator.
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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 | 0.001 |
| 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 it