High throughput screening for rapid and reliable prediction of monovalent antibody binding behavior in flowthrough mode.

Autor: Lorek JK; Purification Technologies, Novo Nordisk A/S, Maaloev, Denmark., Karkov HS; Purification Technologies, Novo Nordisk A/S, Maaloev, Denmark., Matthiesen F; Purification Technologies, Novo Nordisk A/S, Maaloev, Denmark., Dainiak M; Purification Technologies, Novo Nordisk A/S, Maaloev, Denmark.
Jazyk: angličtina
Zdroj: Biotechnology and bioengineering [Biotechnol Bioeng] 2024 Aug; Vol. 121 (8), pp. 2332-2346. Date of Electronic Publication: 2023 Nov 05.
DOI: 10.1002/bit.28572
Abstrakt: Flowthrough (FT) anion exchange (AEX) chromatography is a widely used polishing step for the purification of monoclonal antibody (mAb) formats. To accelerate downstream process development, high throughput screening (HTS) tools have proven useful. In this study, the binding behavior of six monovalent mAbs (mvAbs) was investigated by HTS in batch binding mode on different AEX and mixed-mode resins at process-relevant pH and NaCl concentrations. The HTS entailed the evaluation of mvAb partition coefficients (K p ) and visualization of results in surface-response models. Interestingly, the HTS data grouped the mvAbs into either a strong-binding group or a weak-binding/FT group independent of theoretical Isoelectric point. Mapping the charged and hydrophobic patches by in silico protein surface property analyses revealed that the distribution of patches play a major role in predicting FT behavior. Importantly, the conditions identified by HTS were successfully verified by 1 mL on-column experiments. Finally, employing the optimal FT conditions (7-9 mS/cm and pH 7.0) at a mini-pilot scale (CV = 259 mL) resulted in 99% yield and a 21-23-fold reduction of host cell protein to <100 ppm, depending on the varying host cell protein (HCP) levels in the load. This work opens the possibility of using HTS in FT mode to accelerate downstream process development for mvAb candidates in early research.
(© 2023 Wiley Periodicals LLC.)
Databáze: MEDLINE