Citation
Abstract
Tuberculosis (TB) remains a global health burden, requiring affordable and scalable diagnostic tools. The MPT64 protein is a secreted biomarker specific to Mycobacterium tuberculosis and holds promise for rapid antigen-based diagnostics. However, existing recombinant expression systems often yield low extracellular amounts, complicating purification and limiting downstream application. This study aimed to optimize the extracellular, tag-free expression of MPT64 protein in Escherichia coli by employing the pelB signal peptide in combination with Response Surface Methodology (RSM). A Box-Behnken design was used to analyze the interactive effects of rhamnose concentration, induction timing, and medium composition. The optimal condition (4 mM rhamnose, 2-h induction, and 1.8-fold medium enrichment) yielded 0.0293 mg/mL of extracellular MPT64. The identity and antigenicity of the secreted protein were validated using Sodium Dodecyl Sulfate Polyacrylamide Gel Electrophoresis (SDS-PAGE) and lateral flow immunoassay (LFIA), respectively. This study demonstrates that fine-tuning expression parameters can significantly enhance extracellular protein yield, providing a cost-effective production strategy for MPT64-based TB diagnostics and laying the foundation for future scalable diagnostic development.
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Official URL or Download Paper: https://www.tandfonline.com/doi/full/10.1080/10826...
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Additional Metadata
| Item Type: | Article |
|---|---|
| Subject: | Biotechnology |
| Subject: | Biochemistry |
| Divisions: | Faculty of Food Science and Technology |
| DOI Number: | https://doi.org/10.1080/10826068.2025.2551369 |
| Publisher: | Taylor and Francis |
| Keywords: | Escherichia coli; Extracellular expression; MPT64; Pelb signal peptide; Recombinant antigen; Response surface methodology; Tuberculosis |
| Sustainable Development Goals (SDGs): | SDG 3: Good Health and Well-being, SDG 9: Industry, Innovation and Infrastructure, SDG 12: Responsible Consumption and Production |
| Depositing User: | MS. HADIZAH NORDIN |
| Date Deposited: | 13 Apr 2026 02:29 |
| Last Modified: | 13 Apr 2026 02:29 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1080/10826068.2025.2551369 |
| URI: | http://psasir.upm.edu.my/id/eprint/123394 |
| Statistic Details: | View Download Statistic |
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