Conversion of human and mouse fibroblasts into lung-like epithelial cells
Bibliographic record
Abstract
Cell lineage conversion of fibroblasts to specialized cell types through transdifferentiation may provide a fast and alternative cell source for regenerative medicine. Here we show that transient transduction of fibroblasts with the four reprogramming factors (Oct4, Sox2, Klf4, and c-Myc) in addition to the early lung transcription factor Nkx2-1 (also known as Ttf1), followed by directed differentiation of the cells, can convert mouse embryonic and human adult dermal fibroblasts into induced lung-like epithelial cells (iLEC). These iLEC differentiate into multiple lung cell types in air liquid interface cultures, repopulate decellularized rat lung scaffolds, and form lung epithelia composed of Ciliated, Goblet, Basal, and Club cells after transplantation into immune-compromised mice. As proof-of-concept, differentiated human iLEC harboring the Cystic Fibrosis mutation dF508 demonstrated pharmacological rescue of CFTR function using the combination of lumacaftor and ivacaftor. Overall, this is a promising alternative approach for generation of patient-specific lung-like progenitors to study lung function, disease and future regeneration strategies.
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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 | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".