Higher affinity human D MoAb prepared by light‐chain shuffling and selected by phage display
Bibliographic record
Abstract
BACKGROUND: In blood banks, D MoAbs are routinely used to phenotype donors and patients. However, most D MoAbs do not agglutinate RBCs that weakly express D. The use of higher affinity MoAbs could overcome this problem. In this work, an attempt has been made to increase the affinity of the human clone 43F10, an IgG anti-D, by light (L)-chain shuffling followed by selection using phage display. STUDY DESIGN AND METHODS: PBMNCs of three polyimmunized individuals were used to construct the kappa L-chain repertoire that was recombined with the 43F10 heavy chain in a phagemid vector system (pComb3H, Scripps Institute, La Jolla, CA). L-chain-shuffled 43F10-F(ab) phages were selected on intact RBCs and characterized by ELISA, indirect agglutination, and sequence analysis. RESULTS: L-chain shuffling combined with phage display permitted the selection of a 43F10 MoAb variant (p3.17) with improved reactivity with weak D RBCs in agglutination assays. Nucleic acid sequence analysis showed that p3.17 and wild-type (wt) 43F10 L chains are encoded by different VL segments of the Vk1 family and different J segments, thus showing a relatively low degree of homology (86.4%). CONCLUSION: The use of a variant such as p3.17 could permit a further increase of the potency of existing anti-D reagents. The low homology between p3.17 and wt 43F10 sequences further exemplifies the predominant role of the heavy chain in determining the specificity of the anti-D.
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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) | 0.000 | 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 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".