Chromatin Remodelling in Damaged Intestinal Crypts Orchestrates Redundant TGFβ and Hippo Signalling to Drive Regeneration
Bibliographic record
Abstract
Summary Cell state dynamics underlying regeneration are under-characterized. Intestinal damage prompts reprogramming into revival stem cells (revSCs) that reconstitute Lgr5+ intestinal stem cells (ISCs). Single nuclei multiomics of chromatin accessibility and transcriptomes during regeneration from irradition showed revSCs display epigenetic profiles shared with ISCs and differentiated lineages. Furthermore, while revSC genes are accessible throughout homeostatic epithelia, damage-induced global alterations in crypt and revSC chromatin converge on TGFβ, as well as Hippo pathways. We show TGFβ directly induces functional revSCs and demonstrate individual revSCs form organoids with reconstituted Lgr5+ ISCs. Despite this, loss of TGFβ signalling yielded mild regenerative defects. In contrast, interference in both Hippo and TGFβ abolished revSCs, precluded generation of new ISCs and led to rapid intestinal collapse. Thus, the epithelium is poised to engage the revSC regenerative program that relies on crypt-localized, transient morphogen cues that function in a compensatory manner to support intestinal regeneration.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".