Acetylation of EKLF Is Essential for Epigenetic Modification and Transcriptional Activation of the β-Globin Locus
Bibliographic record
Abstract
Posttranslational modifications of transcription factors provide alternate protein interaction platforms that lead to varied downstream effects. We have investigated how the acetylation of EKLF plays a role in its ability to alter the beta-like globin locus chromatin structure and activate transcription of the adult beta-globin gene. By establishing an EKLF-null erythroid line whose closed beta-locus chromatin structure and silent beta-globin gene status can be rescued by retroviral infection of EKLF, we demonstrate the importance of EKLF acetylation at lysine 288 in the recruitment of CBP to the locus, modification of histone H3, occupancy by EKLF, opening of the chromatin structure, and transcription of adult beta-globin. We also find that EKLF helps to coordinate this process by the specific association of its zinc finger domain with the histone H3 amino terminus. Although EKLF interacts equally well with H3.1 and H3.3, we find that only H3.3 is enriched at the adult beta-globin promoter. These data emphasize the critical nature of lysine acetylation in transcription factor activity and enable us to propose a model of how modified EKLF integrates coactivators, chromatin remodelers, and nucleosomal components to alter epigenetic chromatin structure and stimulate transcription.
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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".