Viscoelastic Notch Signaling Hydrogel Induces Liver Bile Duct Organoid Growth and Morphogenesis
Bibliographic record
Abstract
Abstract Cholangiocyte organoids can be used to model liver biliary disease; however, both a defined matrix in which to emulate cholangiocyte self-assembly and the mechano-transduction pathways involved therein remain elusive. We designed a series of defined viscoelastic hyaluronan hydrogels in which to culture primary cholangiocytes and found that by mimicking the stress relaxation rate of liver tissue, we could induce cholangiocyte organoid growth and significantly increase expression of Yes-associated protein (YAP) target genes. Strikingly, inhibition of matrix metalloproteinases (MMPs) did not significantly affect organoid growth in 3D culture, suggesting that mechanical remodeling of the viscoelastic microenvironment – and not MMP-mediated degradation – is key to cholangiocyte organoid growth. By immobilizing jagged1 to the hyaluronan, stress relaxing hydrogel, self-assembled bile duct structures formed in organoid culture, indicating the synergistic effects of Notch signaling and viscoelasticity. By uncovering critical roles of hydrogel viscoelasticity, YAP signaling and Notch activation, we controlled cholangiocyte organogenesis, thereby paving the way for their use in disease modeling and/or transplantation.
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.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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 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".