KLF4 protein stability regulated by interaction with pluripotency transcription factors overrides transcriptional control
Bibliographic record
Abstract
Abstract Embryonic stem (ES) cells are regulated by a network of transcription factors which maintain the pluripotent state. Differentiation relies on downregulation of pluripotency transcription factors disrupting this network. While investigating transcriptional regulation of the pluripotency transcription factor Klf4 , we observed homozygous deletion of distal enhancers caused 17 fold decrease in Klf4 transcript but surprisingly decreased protein levels by less than 2 fold indicating post-transcriptional control of KLF4 protein overrides transcriptional control. The lack of sensitivity of KLF4 to transcription is due to high protein stability (half-life >24hr). This stability is context dependent and disrupted during differentiation, evidenced by a shift to a half-life of <2hr. KLF4 protein stability is maintained through interaction with other pluripotency transcription factors (NANOG, SOX2 and STAT3) that together facilitate association of KLF4 with RNA polymerase II. In addition, the KLF4 DNA binding and transactivation domains are required for optimal KLF4 protein stability. Post-translational modification of KLF4 destabilizes the protein as cells exit the pluripotent state and mutations that prevent this destabilization also prevent differentiation. These data indicate the core pluripotency transcription factors are integrated by post-translational mechanisms to maintain the pluripotent state, and identify mutations that increase KLF4 protein stability while maintaining transcription factor function.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".