High-throughput isolation of normal and pulmonary fibrosis human alveolar epithelial cells
Bibliographic record
Abstract
Human alveolar type 2 (AT2) cells play a crucial role in maintaining lung homeostasis and facilitating repair. Researchers are investigating AT2 cells in ex vivo platforms due to their essential roles in lung physiology, disease modeling, and drug testing. Herein, we present a comprehensive workflow for the isolation and culture of primary human AT2 cells, including an efficient enzyme-based lung tissue digestion protocol and automated purification of AT2 cells from both healthy and diseased lungs. By targeting the HTII-280 surface protein on AT2 cells, we employed an automated magnetic-activated cell sorting (MACS) separation strategy using the autoMACS® Pro Separator. AT2 cells from healthy and diseased lungs were grown in 3D culture and formed alveolospheres, elucidating that the isolation strategy did not affect cell functionality. This approach provides high AT2 cell yield and purity, offering scalability to generate sufficient quantities of cells for downstream applications, such as disease modeling and cell-based therapeutics.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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".