FLT3 Ligand Is Dispensable for the Final Stage of Type 1 Conventional Dendritic Cell Differentiation
Bibliographic record
Abstract
Conventional dendritic cells (cDCs) are comprised of two major subsets, type 1 cDC (cDC1) and type 2 cDC (cDC2). As each cDC subset differentially influences the nature of immune responses, we sought factors that would allow the manipulation of their relative abundance. Notably, cDC1 are less abundant than cDC2 in both lymphoid and nonlymphoid organs. We demonstrate that this bias is already apparent in bone marrow precommitted precursors. However, comparison of five common inbred strains revealed a disparity in precursor-product relationship, in which mice with fewer precursors to cDC1 had more cDC1. This disparity associated with contrasting variations in CD135 (FLT3) expression on cDC subsets. Hence, we characterized the response to FLT3 ligand during cDC1 and cDC2 lineage differentiation and find that although FLT3 ligand is required throughout cDC2 differentiation, it is surprisingly dispensable during late-stage cDC1 differentiation. Overall, we find that tight regulation of FLT3 ligand levels throughout cDC differentiation dictates the cDC1 to cDC2 ratio in lymphoid organs.
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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".