NACA is a positive regulator of human erythroid-cell differentiation
Bibliographic record
Abstract
We have previously identified the transcript encoding NACA (the alpha chain of the nascent-polypeptide-associated complex) as a cytokine-modulated specific transcript in the human TF-1 erythroleukemic cell line. This protein was already known to be a transcriptional co-activator that acts by potentiating AP-1 activity in osteoblasts, and is known to be involved in the targeting of nascent polypeptides. In this study, we investigate the role of NACA in human hematopoiesis. Protein distribution analyses indicate that NACA is expressed in undifferentiated TF-1 cells and in human-cord-blood-derived CD34(+) progenitor cells. Its expression is maintained during in vitro erythroid differentiation but, in marked contrast, its expression is suppressed during their megakaryocytic or granulocytic differentiation. Ectopic expression of NACA in CD34(+) cells under culture conditions that induce erythroid-lineage differentiation leads to a marked acceleration of erythroid-cell differentiation. Moreover, ectopic expression of NACA induces erythropoietin-independent differentiation of TF-1 cells, whereas downregulation of NACA by RNA interference abolishes the induction of hemoglobin production in these cells and diminishes glycophorin-A (GPA) expression by CD34(+) progenitors cultured under erythroid differentiation conditions. Altogether, these results characterize NACA as a new factor involved in the positive regulation of human erythroid-cell differentiation.
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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) | 0.000 | 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) | 0.000 | 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".