Expression of the Hemoglobin-Haptoglobin Receptor CD163 on Hematopoietic Progenitors
Bibliographic record
Abstract
CD163, the hemoglobin-haptoglobin receptor, has been reported to be expressed exclusively on monocyte/ macrophages. Here we demonstrate that CD163 is also expressed by a subpopulation of hematopoietic stem/progenitor cells. Flow cytometric analysis shows that 1.9 +/- 1.3% (+/-SD, n = 16) of adult bone marrow and 2.0 +/- 1.8% (n = 8) of umbilical cord blood CD34(+) cells express cell-surface CD163, and 69.1 +/- 16.9% (n = 9) and 79.7 +/- 22.4% (n = 8) of the respective cells contain the CD163 protein intracellularly. The expression of CD163 by CD34(+) cells was confirmed by western blot analysis of cell lysates. Transcripts corresponding to the known predominant and variant 1 forms of CD163 were amplified via RT-PCR from CD34(+) cell-derived mRNA. A new variant (K11) with a deletion at the start of exon 15 was also detected. The deleted region contains a PKCalpha phosphorylation site and an amino acid sequence (YREM) that may support efficient receptor endocytosis. The addition of activating anti-CD163 antibodies increased the growth and differentiation of erythroid progenitors in colony-forming assays. These data suggest that hemoglobin may mediate a stimulatory effect on erythropoiesis through the activation of CD163 on hematopoietic progenitor cells.
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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".