Literature DB >> 20604747

Optimization of an induction strategy for improving interferon-alpha2b production in the periplasm of Escherichia coli using response surface methodology.

Siti Nor Ani Azaman1, Nagasundara Ramanan Ramakrishnan, Joo Shun Tan, Raha Abdul Rahim, Mohd Puad Abdullah, Arbakariya B Ariff.   

Abstract

Induction strategies for the periplasmic production of recombinant human IFN-alpha2b (interferon-alpha2b) by recombinant Escherichia coli Rosetta-gami 2(DE3) were optimized in shake-flask cultures using response surface methodology based on the central composite design. The factors included in the present study were induction point, which related to the attenuance of the cell culture, IPTG (isopropyl beta-D-thiogalactoside) concentration and induction temperature. Second-order polynomial models were used to correlate the abovementioned factors to soluble periplasmic IFN-alpha2b formation and percentage of soluble IFN-alpha2b translocated to the periplasmic space of E. coli. The models were found to be significant and subsequently validated. The proposed induction strategies consisted of induction at an attenuance of 4 (measured as D600), IPTG concentration of 0.05 mM and temperature of 25 degrees C. The optimized induction strategy reduced inclusion-body formation as evidenced by electron microscopy and yielded 323.8 ng/ml of IFN-alpha2b in the periplasmic space with translocation of 74% of the total soluble product. In comparison with the non-optimized condition, soluble periplasmic production and the percentage of soluble IFN-alpha2b translocated to the periplasmic space obtained in optimized induction strategies were increased by approx. 20-fold and 1.4-fold respectively.

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Year:  2010        PMID: 20604747     DOI: 10.1042/BA20100104

Source DB:  PubMed          Journal:  Biotechnol Appl Biochem        ISSN: 0885-4513            Impact factor:   2.431


  5 in total

1.  Comparison of the estimation capabilities of response surface methodology and artificial neural network for the optimization of recombinant lipase production by E. coli BL21.

Authors:  Rubina Nelofer; Ramakrishnan Nagasundara Ramanan; Raja Noor Zaliha Raja Abd Rahman; Mahiran Basri; Arbakariya B Ariff
Journal:  J Ind Microbiol Biotechnol       Date:  2011-08-11       Impact factor: 3.346

Review 2.  Stepwise optimization of recombinant protein production in Escherichia coli utilizing computational and experimental approaches.

Authors:  Kulandai Arockia Rajesh Packiam; Ramakrishnan Nagasundara Ramanan; Chien Wei Ooi; Lakshminarasimhan Krishnaswamy; Beng Ti Tey
Journal:  Appl Microbiol Biotechnol       Date:  2020-02-19       Impact factor: 4.813

3.  PERISCOPE-Opt: Machine learning-based prediction of optimal fermentation conditions and yields of recombinant periplasmic protein expressed in Escherichia coli.

Authors:  Kulandai Arockia Rajesh Packiam; Chien Wei Ooi; Fuyi Li; Shutao Mei; Beng Ti Tey; Huey Fang Ong; Jiangning Song; Ramakrishnan Nagasundara Ramanan
Journal:  Comput Struct Biotechnol J       Date:  2022-06-03       Impact factor: 6.155

4.  Application of Statistically Based Experimental Designs to Optimize Cellulase Production and Identification of Gene.

Authors:  Aarti Thakkar; Meenu Saraf
Journal:  Nat Prod Bioprospect       Date:  2014-11-23

5.  Improved Production of Recombinant Human β-NGF in Escherichia coli - a Bioreactor Scale Study.

Authors:  Zahra Hajihassan; Pouria Gholami Tilko; Seyedeh Mahdieh Sadat
Journal:  Pol J Microbiol       Date:  2018
  5 in total

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