Microenvironment-mediated reversion of epiblast stem cells by reactivation of repressed JAK–STAT signaling
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Embryonic stem cells (ESC) and epiblast stem cells (EpiSC) are distinct pluripotent stem cell states that require different signaling pathways for their self-renewal. Forward transitions between ESC and EpiSC can be accomplished by changing culture conditions; however reverse transitions between EpiSC and ESC are rare events that require transgene insertion or culture on feeders. We demonstrate that transgene-free reversion of EpiSCs to ESCs can be enhanced by local microenvironmental control and the subsequent reactivation of dormant LIF-STAT3 signaling. Reactivation of LIF responsiveness occurs in regions of colony constraint (high local cell density) typical of culture on feeders, a condition that can be recapitulated using micropatterned (μP) colonies under defined conditions. This increased LIF responsiveness results in a subsequent increase in the frequency of EpiSC reversion. Importantly, the resulting revertant EpiSCs are functionally indistinguishable from naïve mESC. Our findings demonstrate that signaling pathway activation and repression create barriers to cell fate transitions that can be overcome by microenvironmental control.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it