Shahid Beheshti University of Medical Sciences
  • New Submission
  • Privacy Statement
  • Register
  • Copyright Notice
  • Archiving
  • Login
  1. Home
  2. Archives
  3. Vol. 1 No. 2 (2016)
  4. Original Articles

Focus and Scope

Announcements

Metrics

Author Guideline

Author Guideline (PDF)

Using Artificial Intelligence (AI) in the Manuscript Preparation

Authorship Policies

Publication Ethics

conflict of interest

Privacy Statement

Copyright Notice

Archiving

Publication Fees

Peer Review Process

Peer-review policy (ethics and competing interest)

Preprint Policy

Ethical considerations of animals and human studies

Post-publication discussion and correction

Allegation of misconduct

Complaints and appeals

Development of a Semi-Quantitative Multiplex PCR Method for Detecting Residual Pichia Pastoris Host Cell DNA in Biopharmaceuticals

  • Atefeh Namipashaki
  • Reza Nekouian
  • Zargham Sepehrizadeh
  • Neda Setayesh

Trends in Peptide and Protein Sciences, Vol. 1 No. 2 (2016), 17 January 2017 , Page 61-67
https://doi.org/10.22037/tpps.v1i2.15107 Published: 2017-01-17

  • View Article
  • Download
  • Cite
  • References
  • Statastics
  • Share

Abstract

 The use of the methylotrophic yeast, Pichia pastoris, as one of the most effective and versatile systems for the expression of heterologous proteins in biopharmaceutical manufacturing has become increasingly popular in recent years. The impurity caused by residual host cell DNA is one of the major concerns in production of recombinant therapeutics. The aim of the present study was to develop a semi-quantitative, multiplex PCR method to determine the level of impurity in biopharmaceuticals produced in Pichia pastoris as the host. Primers were designed based on the rDNA repeat region and optimized to achieve the limit of detection in a multiplex PCR following by analyzing with MYImageAnalysis (Thermo Fisher Scientific, USA) software to quantify the concentration of Pichia pastoris genomic DNA in pertinent controls and drug samples. The multiplex PCR were able to detect up to 1 femtogram (fg) of genomic DNA under optimized conditions. Moreover, achieved concentration of DNA in controls and samples through relevant standard curve indicates the feasibility of this method in the presence of inhibitory effects. In comparison with other methods such as real-time PCR and Threshold assay, the assay shows acceptable sensitivity, precision and linearity along with ease of use, low equipment costs and analyte flexibility. We thus propose this method to be considered as a useful tool to estimate host cell residual DNA in biopharmaceuticals produced in Pichia pastoris.

Highlights

  • The impurity of residual host cell DNA is an important concern in production of biopharmaceuticals.
  • Pichia pastoris is an effective and versatile system for the expression of recombinant proteins
  • Quantitative Polymerase Chain Reaction could be used for quantifying residual host-cell DNA
  • We designed a sensitive and valid PCR method for detection and quantification of Pichia residual DNA
Keywords:
  • Residual DNA
  • Yeast
  • Pichia pastoris
  • Multiplex PCR
  • Gel densitometry
  • PDF

How to Cite

1.
Namipashaki A, Nekouian R, Sepehrizadeh Z, Setayesh N. Development of a Semi-Quantitative Multiplex PCR Method for Detecting Residual Pichia Pastoris Host Cell DNA in Biopharmaceuticals. Trends Pept. Protein Sci. [Internet]. 2017 Jan. 17 [cited 2026 Jul. 28];1(2):61-7. Available from: https://journals.sbmu.ac.ir/protein/article/view/15107
  • ACM
  • ACS
  • APA
  • ABNT
  • Chicago
  • Harvard
  • IEEE
  • MLA
  • Turabian
  • Vancouver
  • Endnote/Zotero/Mendeley (RIS)
  • BibTeX

References

Cai, H., Gu, X., Scanlan, M. S. and C. R. Lively, (2011). ″Development of a quantitative PCR assay for residual mouse DNA and comparison of four sample purification methods for DNA isolation.″ Journal of Pharmaceutical and Biomedical Analysis, 55: 71-77.

Cereghino, J. L. and J. M. Cregg, (2000). ″Heterologous protein expression in the methylotrophic yeast Pichia pastoris.″ FEMS Microbiology Reviews, 24: 45-66.

Durrant, I., Brunning, S., Eccleston, L., Chadwick, P. and M. Cunningham, (1995). ″Fluorescein as a label for non-radioactive in situ hybridization.″ The Histochemical Journal, 27: 94–99.

Forcic, D., Cakanic, K. B., Ivancic, J., Jug, R., Barut, M., Strancar, A. and R. Mazuran, (2005). ″Chromatographic detection of residual cellular DNA on short monolithic columns.″ Analytical Biochemistry, 336: 273-278.

Gerngross, T. U. (2004). ″Advances in the production of human therapeutic proteins in yeasts and filamentous fungi.″ Nature Biotechnology, 22: 1409-1414.

Ikeda, Y., Iwakiri, S. and T. Yoshimori, (2009). ″Development and characterization of a novel host cell DNA assay using ultra-sensitive fluorescent nucleic acid stain ″PicoGreen″.″ Journal of Pharmaceutical and Biomedical Analysis, 49: 997-1002.

Lebron, J. A., Troilol, P. J., Pacchione, S., Griffiths, T. G., Harper, L. B., Mixson, L. A., Jackson, B.E., Michna, L., Barnum, A. B., Denisova, L., Johnson, C. N., Maurer, K. L., Morgan-Hoffman, S., Niu, Z., Roden, D. F., Wang, Z., Wolf, J. J., Hamilton, T. R., Laux, K. M., Soper, K. A. and B. J. Ledwith, (2006). ″Adaptation of the WHO guideline for residual DNA in parenteral vaccines produced on continuous cell lines to a limit for oral vaccines.″ Developments in Biologicals, 123: 35-44.

Lee, D. H., Bae, J. E., Lee, J. H, Shin, J. S and I. S. Kim, (2010). ″Quantitative Detection of Residual E. coli Host Cell DNA by Real-Time PCR.″ Journal of Microbiology and Biotechnology, 20:1463-1470.

Lokteff, M., Klinguer-Hamour, C., Julien, E., Picot, D., Lannes, L., Nguyen, T., Bonnefoy, J. Y. and A. Beck, (2001). ″Residual DNA quantification in clinical batches of BBG2Na, a recombinant subunit vaccine against human respiratory syncytial virus.″ Biologicals, 29: 123–132.

Lovatt, A. (2002). ″Applications of quantitative PCR in the biosafety and genetic stability assessment of biotechnology products.″ Journal of Biotechnology, 82: 279-300.

Macauley-Patrick, S., Fazenda, M.L., McNeil, B. and L. M. Harvey, (2005).″ Heterologous protein production using the Pichia pastoris expression system. ″ Yeast, 22: 249-270.

Nissom, P. M. (2007). ″Specific detection of residual CHO host cell DNA by real-time PCR.″ Biologicals, 35: 211-5.

Potvin, G., Ahmad, A. and Z. Zhang, (2012). ″Bioprocess engineering aspects of heterologous protein production in Pichia pastoris: A review.″ Biochemical Engineering Journal, 64: 91-105.

Schmidt, F. R. (2004). ″Recombinant expression systems in the pharmaceutical industry.″ Applied Microbiology and Biotechnology, 65: 363-372.

Shen, X., Chen, X., Tabor, D. E., Liu, Y., Albarghouthi, M., Zhang, Y. F. and M. S. Galinski, (2013). ″Size analysis of residual host cell DNA in cell culture-produced vaccines by capillary gel electrophoresis.″ Biologicals, 41: 201-8.

Sheng-Fowler, L., Lewis, J. R. and K. Peden, (2009). ″Issues associated with residual cell-substrate DNA in viral vaccines.″ Biologicals, 37: 190-5.

Strachan, T. and A. P. Read, (1999). ″Nucleic acid hybridization assays″. In: Human Molecular Genetics. 2nd ed., Wiley-Liss, Inc., New York, pp. 95–119.

Verardo, M. L., Carvalho, J. G., Delgado, D. N. and S. T. Kuhns, (2012). ″Accuracy and sensitivity of residual DNA detection by QPCR is not predicted by target copy number.″ Biotechnology Progress, 28: 428-34.

Walsh, G. (2010). ″Biopharmaceutical benchmark.″ Nature Biotechnology, 28: 917-24.

Wang, X., Morgan, D. M., Wang, G. and N. M. Mozier, (2012). ″Residual DNA analysis in biologics development: review of measurement and quantitation technologies and future directions.″ Biotechnology and Bioengineering, 109: 307-17.

Yang, H., Zhang, L. and M. Galinski, (2010). ″A probabilistic model for risk assessment of residual host cell DNA in biological products.″ Vaccine, 28: 3308-3311.

  • Abstract Viewed: 999 times
  • PDF Downloaded: 560 times

Download Statastics

  • Linkedin
  • Twitter
  • Facebook
  • Google Plus
  • Telegram

Developed By

Open Journal Systems

Make a Submission

Make a Submission

Information

  • For Readers
  • For Authors
  • For Librarians

society

Iranian Association of Pharmaceutical Scientists

  • Home
  • Archives
  • Submissions
  • About the Journal
  • Editorial Team
  • Contact

All open-access articles of TPPS are distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).

Journal Name:

Trends in Peptide and Protein Sciences (TPPS)

Journal Abbreviation:

Trends Pept. Protein Sci.

eISSN:

2538-2446

 

 

 

Powered by OJSPlus