A B cell intrinsic defect initiates autoimmunity in New Zealand Black chromosome 13 congenic mice (49.21)
Bibliographic record
Abstract
Abstract Introgression of a New Zealand Black (NZB) chromosome 13 (c13) interval onto a lupus-resistant C57BL/6 (B6) background (denoted, B6.NZBc13) is sufficient to produce many of the hallmarks of lupus. To characterize the immune defects leading to these abnormalities observed in B6.NZBc13 mice, bone marrow (BM) chimeras and BCR transgenic mice were produced. In BM chimeras, transfer of B6.NZBc13 BM cells was sufficient to transfer autoimmunity. Interestingly, in mixed BM chimeras the abnormal T and B cell activation as well as DC expansion was observed in both B6 and B6.NZBc13 derived cells; but with greater B cell activation in B6.NZBc13 derived cells. When an anti-HEL Ig transgene was crossed onto the congenic background disease was abrogated and the abnormal cellular phenotypes normalized. Although tolerance was retained in anti-HEL Ig/soluble HEL double transgenic mice, increased numbers of ’edited’ cells were seen in the periphery. B cell function studies revealed altered phosphorylation of signaling molecules downstream of the BCR. These findings indicate the presence of a BM-cell intrinsic defect on NZB c13 that can be localized to a B cell defect, which is necessary to initiate the autoimmune phenotype in B6.NZBc13 mice.
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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".