The Size of the Plasmacytoid Dendritic Cell Compartment Is a Multigenic Trait Dominated by a Locus on Mouse Chromosome 7
Bibliographic record
Abstract
Plasmacytoid dendritic cells (pDC) compose one of the many distinct dendritic cell subsets. The primary function of pDC is to potently produce type 1 IFNs upon stimulation, which is highly relevant in antiviral responses. Consequently, the ability to manipulate the size of the pDC compartment in vivo may increase the capacity to clear viral infections. In an attempt to identify genetic loci affecting the size of the pDC compartment, defined by both the proportion and absolute number of pDC, we undertook an unbiased genetic approach. Linkage analysis using inbred mouse strains identified a locus on chromosome 7 (Pdcc1) significantly linked to both the proportion and the absolute number of pDC in the spleen. Moreover, loci on either chromosome 11 (Pdcc2) or 9 (Pdcc3) modified the effect of Pdcc1 on chromosome 7 for the proportion and absolute number of pDC, respectively. Further analysis using mice congenic for chromosome 7 confirmed Pdcc1, demonstrating that variation within this genetic interval can regulate the size of the pDC compartment. Finally, mixed bone marrow chimera experiments showed that both the proportion and the absolute number of pDC are regulated by cell-intrinsic hematopoietic factors. Our findings highlight the multigenic regulation of the size of the pDC compartment and will facilitate the identification of genes linked to this trait.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".