Heparan Sulfate and Heparin Enhance ERK Phosphorylation and Mediate preBCR-Dependent Events during B Lymphopoiesis
Bibliographic record
Abstract
As B lineage cells develop, they interact with cells, proteins, and extracellular matrix components of the surrounding microenvironment. In vitro, one critical checkpoint for developing cells occurs as they lose responsiveness to IL-7. These cells require contact with either stromal cells or other B lineage cells to mature. Our results demonstrate that heparan sulfate and heparin are able to promote this transition when added exogenously to the culture system or when heparan sulfate-bearing cell lines are cocultured with primary B cell progenitors. Addition of heparan sulfate or heparin to LPS-stimulated cultures of primary B cell progenitors resulted in more IgM secreted compared with untreated cultures. Heparan sulfate has been reported to be a ligand for the pre-B cell receptor (preBCR). Extending this observation, we found that treatment of preBCR+ cells with heparan sulfate before anti-micro stimulation leads to increased phosphorylation of ERK1/2. Consequently, preBCR+ cells proliferate more in the presence of IL-7 and heparan sulfate, whereas preBCR- cells are unaffected, suggesting that in these experiments, heparan sulfate is not directly affecting IL-7 activity. Heparin treatment of cultures induces many of the same biological effects as treatment with heparan sulfate, including elevated pERK levels in preBCR+ cells. However, heparin reduces the proliferation of cells expressing only the preBCR (opposed to both the preBCR and BCR) possibly due to internalization of the preBCR. Heparan sulfates are present on stromal cells and B lineage cells present in hemopoietic tissues and may provide stimulation to preB cells testing the signaling capacity of the preBCR.
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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) | 0.002 | 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".