Development of Functional Human Monoclonal Single-Chain Variable Fragment Antibody Against HIV-1 from Human Cervical B Cells
Bibliographic record
Abstract
A panel of novel recombinant single-chain variable fragment (scFv) antibody against human immunodeficiency virus type-1 (HIV-1) was isolated and characterized. We generated human scFvs using RNA harvested from cervical B lymphocytes of Kenyan prostitutes who are highly exposed to HIV-1, but remain persistently seronegative. The variable regions of the heavy (VH) and light (VL) chain antibody genes were selected as hybrids using guided-selection with the VL and VH, respectively, of a derivative of IgGb(12) using the phagemid vector pComb3X. IgGb(12) is a previously well-characterized HIV-1 neutralizing human monoclonal antibody (MAb). One of the hybrid scFv, IgA6/4L, neutralizes HIV-1 infectivity in in vitro cell culture assay. The cervical VH and VL chain antibody genes were connected by a DNA linker and subcloned in pComb3X. The cervical scFv clones were functional in recognizing HIV-1 gp120 by enzyme-linked immunosorbant assay (ELISA) and on cells in flow cytometry. Whole IgGb(12) does not inhibit binding of clones IgA6/5k nor IgA6/30lambda to gp120, which suggests that they bind different epitopes. Nucleotide sequence analysis of the cervical scFv show the clones are unique and reveal interesting characteristics of human cervical V gene pools. This work demonstrates, for the first time, cloning of a functional scFv MAb to a sexually transmitted disease pathogen from local cervical B-cell pools in exposed humans.
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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) | 0.001 | 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".