Enhanced cell disruption strategy in the release of recombinant hepatitis B surface antigen from <it>Pichia pastoris</it> using response surface methodology

• Main Authors: Tam Yew, Allaudin Zeenathul, Lila Mohd Azmi, Bahaman Abdul, Tan Joo, Rezaei Morvarid
• Format: Article
• Language: English
• Published: BMC 2012-10-01
• Series: BMC Biotechnology
• Subjects: Hepatitis B surface antigen; Cell disruption; Glass bead; High pressure homogenizer; <it>Pichia pastoris</it>; Recombinant protein
• Online Access: http://www.biomedcentral.com/1472-6750/12/70

<p>Abstract</p> <p>Background</p> <p>Cell disruption strategies by high pressure homogenizer for the release of recombinant Hepatitis B surface antigen (HBsAg) from <it>Pichia pastoris</it> expression cells were optimized using response surface methodology (RSM) based on the central composite design (CCD). The factors studied include number of passes, biomass concentration and pulse pressure. Polynomial models were used to correlate the above mentioned factors to project the cell disruption capability and specific protein release of HBsAg from <it>P. pastoris</it> cells.</p> <p>Results</p> <p>The proposed cell disruption strategy consisted of a number of passes set at 20 times, biomass concentration of 7.70 g/L of dry cell weight (DCW) and pulse pressure at 1,029 bar. The optimized cell disruption strategy was shown to increase cell disruption efficiency by 2-fold and 4-fold for specific protein release of HBsAg when compared to glass bead method yielding 75.68% cell disruption rate (CDR) and HBsAg concentration of 29.20 mg/L respectively.</p> <p>Conclusions</p> <p>The model equation generated from RSM on cell disruption of <it>P. pastoris</it> was found adequate to determine the significant factors and its interactions among the process variables and the optimum conditions in releasing HBsAg when validated against a glass bead cell disruption method. The findings from the study can open up a promising strategy for better recovery of HBsAg recombinant protein during downstream processing.</p>