Reprogramming of cells during embryonic transfating: overcoming a reprogramming block
Bibliographic record
Abstract
Regulative development, demonstrated by many animal embryos, is the ability to replace missing cells or parts. The underlying molecular mechanism(s) of that ability is not well understood. If sea urchin micromeres (skeletogenic cell progenitors) are removed at the 16-cell stage, early endoderm initiates a sequential switch in cell fates, called transfating. Without micromeres, other mesoderm cells are absent as well, because their specification depends on signaling from micromeres. Most mesoderm cells later return by transfating, but pigment cells do not. Single-cell RNA sequencing, tracked over time, reveals the reprogramming sequence of those replacements. Beginning with an early endoderm specification state, cells progress through endomesoderm, then mesoderm, and finally distinct skeletogenic and blastocoelar cell specification states emerge, but pigment cells do not. Rescue of pigment cells was found to be a consequence of signal timing: if Delta is expressed prior to Nodal, pigment cells return. Thus, transfating operates through a series of gene regulatory state transitions, and reprogramming fails if endogenous negative signals occur prior to positive signals in the reprogramming sequence.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".