A254 IDENTIFICATION OF THE TLR-LIKE RECEPTOR CD180 AND THE ACCESSORY MOLECULE MD-1 DUCK HOMOLOGUES FOR THERAPEUTIC TARGETING IN THE DUCK HEPATITIS B INFECTION MODEL
Bibliographic record
Abstract
Hepatitis B infection is a leading cause of liver disease with over 240 million chronic carriers. Current protective vaccines elicit protective immune responses in up to 95% of healthy adults but are poorly immunogenic in immunocompromised individuals and there are currently no effective therapeutic vaccines available. CD180, also known as radioprotective 105 kDa protein (RP105), is a Toll-like receptor (TLR), type-1 glycoprotein expressed on antigen presenting cells (APC) in complex with the accessory molecule MD-1. Engagement of antibodies with CD180 promotes proliferation of B cells, and targeting of antigen to CD180 has been shown to enhance antigen-specific B cell and T cell responses. The aim of this project is to clone the duck CD180 and MD-1 cDNA and to characterize the expressed protein. The duck CD180 (duCD180) and duck MD-1 (duMD-1) cDNAs were obtained by RT-PCR and RACE. The open reading frame of duMD-1 and duCD180 were inserted in eukaryotic expression vectors in frame with distinct carboxy- and amino-terminal purification/detection tags, and expression was verified in 293T cells by immunoblot. The duCD180 cDNA encodes a 660 amino acid (aa) protein that has an aa identity of 52%, 49% and 81% with the respective human, mouse and chicken homologues, whereas the duMD-1 cDNA encodes a 161 aa protein that has an aa identity of 42%, 42% and 84% with human, mouse and chicken MD-1, respectively. Using anti-His6/anti-FLAG antibodies duCD180 and duMD-1 were detected in cell lysates but not culture supernatants of transfected 293T cells. Our observations suggest significant evolutionary conservation of both CD180 and MD-1 between mammalian and avian homologue proteins. This project will lay the foundation for exploration of CD180-targed immunization studies in the duck hepatitis B infection model. internal funding
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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".