Biochemical measurements on single erythroid progenitor cells shed light on the combinatorial regulation of red blood cell production
Bibliographic record
Abstract
Adult bone marrow (BM) erythrocyte colony-forming units (CFU-Es) are important cellular targets for the treatment of anemia and also for the manufacture of red blood cells (RBCs) ex vivo. We obtained quantitative biochemical measurements from single and small numbers of CFU-Es by isolating and analyzing c-Kit(+)CD71(high)Ter119(-) cells from adult mouse BM and this allowed us to identify two mechanisms that can be manipulated to increase RBC production. As expected, maximum RBC output was obtained when CFU-Es were stimulated with a combination of Stem Cell Factor (SCF) and Erythropoietin (EPO) mainly because SCF supports a transient CFU-E expansion and EPO promotes the survival and terminal differentiation of erythroid progenitors. However, we found that one of the main factors limiting the output in RBCs was that EPO induces a downregulation of c-Kit expression which limits the transient expansion of CFU-Es. In the presence of SCF, the EPO-mediated downregulation of c-Kit on CFU-Es is delayed but still significant. Moreover, treatment of CFU-Es with 1-Naphthyl PP1 could partially inhibit the downregulation of c-Kit induced by EPO, suggesting that this process is dependent on a Src family kinase, v-Src and/or c-Fyn. We also found that CFU-E survival and proliferation was dependent on the level of time-integrated extracellular-regulated kinase (ERK) activation in these cells, all of which could be significantly increased when SCF and EPO were combined with mouse fetal liver-derived factors. Taken together, these results suggest two novel molecular strategies to increase RBC production and regeneration.
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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 | 0.001 |
| 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 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".