Specificity and binding kinetics of murine lupus anti‐DNA monoclonal antibodies implicate different stimuli for their production
Bibliographic record
Abstract
The origin and relative biological importance of the many different DNA-reactive antibodies that appear in systemic lupus erythematosus are not well understood. A detailed analysis of their fine specificity and binding characteristics with DNA is a necessary step in understanding their biology. We have examined here two monoclonal antibodies (mAb) IV-228 and V-88 that are, respectively, characteristic of antibodies, which bind exclusively to single-stranded (ss) DNA and to both double-stranded (ds) DNA and ssDNA. By surface plasmon resonance (SPR) on BIAcore, we characterized the kinetics of binding of each antibody to synthetic ss and ds oligonucleotides. Antibody V-88 and IV-228 showed different patterns of reactivity for both ss and ds oligonucleotides, characterized by distinctly different kinetic parameters. Analysis of their binding kinetics indicates the importance of base composition in defining DNA epitopes, and shows that some epitopes, such as that recognized by mAb V-88, are expressed on dsDNA and ssDNA, whereas others, as recognized by IV-228, are not. The base preferences of V-88 for ds GC-rich structures over AT-rich, and of IV-228 for ss T-rich structures, also reveal distinct differences between these antibodies. We conclude that the different binding properties of the antibodies will relate to their biological activities. The base preferences of the antibodies suggest that they might be induced by different immunological stimuli, such as those that could be provided by the various DNA fragments and structures released during programmed cell death.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".