Dynamic regulation of connexins in stem cell pluripotency
Bibliographic record
Abstract
Characterization of the pluripotent "ground state" has led to a greater understanding of species-specific stem cell differences and has imparted an appreciation of the pluripotency continuum that exists in stem cells in vitro. Pluripotent stem cells are functionally coupled via connexins that serve in gap junctional intercellular communication (GJIC) and here we report that the level of connexin expression in pluripotent stem cells depends upon the state in which stem cells exist in vitro. Human and mouse pluripotent stem cells stabilized in a developmentally primitive or "naïve" state exhibit significantly less connexin expression compared with stem cells which are "primed" for differentiation. This dynamic connexin expression pattern may be governed, in part, by differential regulation by pluripotency transcription factors expressed in each cell state. Species-specific differences do exist, however, with mouse stem cells expressing several additional connexin transcripts not found in human pluripotent stem cells. Moreover, pharmacological inhibition of GJIC shows limited impact on naïve human stem cell survival, self-renewal, and pluripotency but plays a more significant role in primed human pluripotent stem cells. However, CRISPR-Cas9 gene ablation of Cx43 in human and mouse primed and naïve pluripotent stem cells reveals that Cx43 is dispensable in each of these four pluripotent stem cell types.
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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 | 0.000 | 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 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".