Bone marrow cell intrinsic defect drives autoimmunity in New Zealand Black chromosome 13 congenic mice
Bibliographic record
Abstract
Introgression of a New Zealand Black (NZB) chromosome 13 interval onto a lupus‐resistant B6 background (denoted, c13) is sufficient to produce many of the hallmarks of lupus, including, high titre anti‐chromatin antibody (Ab) production, abnormal T cell activation, and renal disease. These phenotypes occurred in the presence of a dendritic cell (DC) expansion. In this follow‐up study, we sought to localize and characterize the immune defects leading to these pathogenic abnormalities; this was achieved by generating subcongenic mice and bone marrow (BM) reconstituted mice, respectively. Subcongenic mouse strains, c13(47–89 Mb), c13(73–114 Mb), and c13(81–114 Mb), all demonstrated low titre anti‐chromatin Ab production, abnormal T cell activation, and DC expansion. Lethally irradiated B6.Thy1aIgHa mice were reconstituted with BM cells from B6.Thy1aIgHa, c13, or a mixture of both. Only mice reconstituted with c13 BM cells developed the aforementioned phenotypes. Moreover, in mixed BM chimeras, these abnormalities were seen in both B6.Thy1aIgHa‐ and c13‐derived cells. Thus, this study shows that a BM cell‐intrinsic defect that is not cell‐autonomous is driving the c13 mouse phenotype. Furthermore, this defect can be localized within the overlapping 81–89 Mb subcongenic chromosome 13 interval. Source of research support: The Arthritis Society and Canadian Institutes of Health Research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".