ATG4A regulates human erythroid maturation and mitochondrial clearance
Bibliographic record
Abstract
Autophagy is a self-degradation pathway that is essential for erythropoiesis. During erythroid differentiation, autophagy facilitates the degradation of macromolecules and the programmed clearance of mitochondria. Impaired mitochondrial clearance results in anemia and alters the lifespan of red blood cells in vivo. While several essential autophagy genes contribute to autophagy in erythropoiesis, little is known about erythroid-specific mediators of this pathway. Genetic analysis of primary human erythroid and nonerythroid cells revealed the selective upregulation of the core autophagy gene ATG4A in maturing human erythroid cells. Because the function of ATG4A in erythropoiesis is unknown, we evaluated its role using an ex vivo model of human erythropoiesis. Depletion of ATG4A in primary human hematopoietic stem and progenitor cells selectively impaired erythroid but not myeloid lineage differentiation, resulting in reduced red cell production, delayed terminal differentiation, and impaired enucleation. Loss of ATG4A impaired autophagy and mitochondrial clearance, giving rise to reticulocytes with retained mitochondria and autophagic vesicles. In summary, our study identifies ATG4A as a cell type-specific regulator of autophagy in erythroid development.
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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".