Development of a Chicken Immunoglobulin Heavy Chain Variable Region (VH) Single-Domain Antibody (sdAb) Against Calsequestrin (CSQ) and Its Application
Bibliographic record
Abstract
Background/Objectives: Calsequestrin (CSQ) is a calcium-binding protein that is highly soluble and can serve as a solubility-enhancing fusion tag in recombinant protein expression. Its unique property of calcium-induced precipitation followed by EDTA-mediated resolubilization enables efficient purification. However, the broader application of CSQ-tagged proteins in research have been hampered by the lack of reliable anti-CSQ detection reagents. This study aimed to develop single-domain antibodies (sdAbs) against CSQ for use in diverse immunoassays and cell-based analyses. Methods: Single-domain antibodies were selected from phage-displayed chicken VH libraries generated from CSQ-immunized chickens. After biopanning, CSQ-specific VH sdAb clones were isolated and expressed as VH–human kappa light chain constant region (VH-Cκ) fusion proteins in E. coli. The PE06 clone was chosen for further characterization and conjugated to horseradish peroxidase (HRP) and Alexa Fluor 647 for assay applications. Results: PE06 VH-Cκ fusion protein demonstrated specific binding to CSQ-tagged proteins and enabled reliable detection in enzyme-linked immunosorbent assay (ELISA), immunoblotting, and flow cytometry. These results validated its utility as a chemically defined detection reagent for CSQ fusion proteins expressed in E. coli. Conclusions: This study establishes a CSQ-specific chicken VH sdAb as a versatile detection tool for CSQ-tagged proteins. The approach expands the utility of CSQ as a protein fusion tag and enables the development of recombinant antibodies fused with CSQ, such as scFv-CSQ constructs, for broad application in research and assay systems.
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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) | 0.000 | 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".