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 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".