MCEF is localized to the nucleus by protein sequences encoded within three distinct exons, where it represses HIV-1 Tat-transactivation of LTR-directed transcription
Bibliographic record
Abstract
Translocations between the human Mixed Lineage Leukemia (MLL) and AF4 Family (AFF) member genes, are implicated in leukemia. Mutations to AFFs can disrupt lymphopoesis, CNS development and spermatogenesis. However, despite the growing list of pathologies linked to AFF members, their evolutionary relationship and the structure/function of individual members, remain to be elucidated. Here, we first report that database mining and phylogenetic analysis with AFF proteins from multiple species, revealed two monophyletic sister clades, suggesting a common Bilateria ancestor. We then examined the structure/function of the most recently discovered AFF member, MCEF (also known as AF5q31 or AFF4). In silico, the human MCEF gene was found to have 21 exons, and code for a protein with seven nuclear localization sequences (NLS). In HeLa cells, an MCEF-EGFP fusion protein, localized exclusively to the nucleus. Consequently, we made twenty constructs, expressing MCEF deletion mutants fused to EGFP and/or DsRed fluorescent proteins. Three distinct protein sequences, encoded by three separate MCEF exons, were found to mediate nuclear localization, only two of which were predicted in silico. Importantly, we also found that ectopic expression of MCEF, repressed HIV-1 LTR-directed RNA Polymerase II transcription, at the level of Tat-transactivation. We suggest that portions of MCEF could be exploited for chimeric transcription factor repression (CTFR) of HIV-1.
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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) | 0.002 | 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".