Development of a VHH-Based Erythropoietin Quantification Assay
Stefan Kol1, Thomas Beuchert Kallehauge, Simon Adema
1The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kogle Allé 6, 2970, Hørsholm, Denmark, stko@biosustain.dtu.dk.
A new assay quantifies erythropoietin (EPO) using biolayer interferometry. This label-free method offers a sensitive and rapid alternative for EPO measurement in cell culture, improving bioprocess development.
Area of Science:
- Biotechnology
- Analytical Chemistry
- Bioprocess Engineering
Background:
- Traditional erythropoietin (EPO) quantification methods like ELISA and HPLC have limitations.
- Accurate EPO measurement is crucial for cell line selection and bioreactor cultivation in biopharmaceutical production.
- Existing techniques can be time-consuming, costly, or lack the required sensitivity for high-throughput screening.
Purpose of the Study:
- To develop and evaluate a novel, label-free assay for quantifying human recombinant erythropoietin (EPO).
- To assess the suitability of a camelid single-domain antibody fragment as a capturing agent in a biolayer interferometry assay.
- To enable rapid and robust EPO quantification in Chinese hamster ovary (CHO) cell supernatants for bioprocess monitoring.
Main Methods:
- Development of a label-free quantification assay utilizing biolayer interferometry.
- Employing a camelid single-domain antibody fragment, specific to human EPO, as the capture antibody.
- Testing the assay's performance with human recombinant EPO in Chinese hamster ovary cell culture supernatants.
Main Results:
- Specific detection of human recombinant EPO in CHO cell supernatants was achieved.
- The assay demonstrated sensitivity and a notable pH-dependent detection profile.
- The developed method proved to be rapid and robust, suitable for high-throughput applications.
Conclusions:
- A novel, label-free biolayer interferometry assay provides a sensitive and efficient method for EPO quantification.
- This assay overcomes drawbacks associated with traditional ELISA and HPLC methods.
- The new technique supports high-throughput analysis, facilitating improved cell line selection and bioprocess optimization.
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