Generation of transducible versions of transcription factors Oct4 and Sox2
Bibliographic record
Abstract
The transcription factors Oct4 and Sox2 are two of the main regulators of pluripotency in embryonic stem cells. Since the importance of non-genetic modification is continually increasing, particularly for therapeutic application of manipulated cells, the aim of the present study was to generate cell-permeant Oct4 and Sox2 proteins for the direct cellular delivery of active proteins. Protein transduction allowing cellular manipulation to circumvent genetic modification of target cells has recently been developed. We present a new expression vector system, pSESAME, that facilitates the generation of transducible proteins. Using pSESAME, both Oct4 and Sox2 were genetically fused with a TAT protein transduction domain that promotes cellular penetration. The recombinant purified Oct4 and Sox2 fusion proteins display DNA-binding properties comparable to their endogenous counterparts, and exhibit cellular entry and the ability to modulate the transcriptional machinery maintaining pluripotency of mouse embryonic stem cells. In a rescue assay we demonstrate that transducible Oct4 and Sox2 fusion proteins can compensate knockdown of Pou5f1 and Sox2, respectively. This study provides powerful tools for the modulation of stem cell properties without genetic interference.
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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) | 0.001 | 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".