Establishment of Hybridoma Cell Lines Producing Monoclonal Antibodies Against Hepatitis B Virus Surface Antigens (a, d, and r) and Development of Sensitive ELISA Diagnostic Test
Bibliographic record
Abstract
A new treble-coated enzyme-linked immunoadsorbent assay (ELISA) kit of detecting Hepatitis B virus (HBV) surface antigen subtypes a, d and r (HBsAg-a, -d, -r) was developed by using four established hybridoma cell lines, of which two specifically secrete monoclonal antibodies (MAbs) against HBsAg-a (anti-HBsAg-a), one against -d (anti-HBsAg-d), and one against -r (anti-HBsAg-r). The approach of hybridoma cell lines' establishment were by fusing myeloma cells (SP2/0) with splenocytes from BALB/c mice immunized with a mixture of HBsAg-a, -d, -r. The ascitic MAb productivity of the four cell lines was at the titres of 1:10(6)-1:10(8). A treble-coated ELISA based HBV diagnostic kit was developed for detecting all of the three responding subtypes of HBsAgs. A 96-well ELISA microplate was coated with anti-HBSAg-a, -d, -r at a ratio of 3: 1: 0.5, with a horseradish peroxidase (HRP) conjugated anti-HBsAg-a as the labelled antibody. For clinical application, the new developed diagnostic kit detected HBsAgs of adr, adw, ayr, and ayw at a rate of lower than 0.25, 0.25, 0.5, and 0.5 ng/mL, respectively. Results indicated that this kit was more rapid and sensitive than that other current ELISA-based kits coated with a single MAb (e.g., anti-HBsAg-a).
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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".