Delta-like1-induced Notch1 signaling regulates the human plasmacytoid dendritic cell versus T-cell lineage decision through control of GATA-3 and Spi-B
Bibliographic record
Abstract
Human early thymic precursors have the potential to differentiate into multiple cell lineages, including T cells and plasmacytoid dendritic cells (pDCs). This decision is guided by the induction or silencing of lineage-specific transcription factors. The ETS family member Spi-B is a key regulator of pDC development, whereas T-cell development is critically dependent on GATA-3. Here we show that triggering of the Notch1 signaling pathway by Delta-like1 controls the T/pDC lineage decision by regulating the balance between these factors. CD34+ CD1a- thymic progenitor cells express Notch1, but down-regulate this receptor when differentiating into pDCs. On coculture with stromal cell lines expressing either human Delta-like1 (DL1) or Jagged1 (Jag1) Notch ligands, thymic precursors express GATA-3 and develop into CD4+ CD8+ TCRalphabeta+ T cells. On the other hand, DL1, but not Jag1, down-regulates Spi-B expression, resulting in impaired development of pDCs. The Notch1-induced block in pDC development can be relieved through the ectopic expression of Spi-B. These data indicate that DL1-induced activation of the Notch1 pathway controls the lineage commitment of early thymic precursors by altering the levels between Spi-B and GATA-3.
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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".