JOURNAL ARTICLE

High‐level expression of functional Pfu DNA polymerase recombinant protein by mimicking the enhanced green fluorescence protein gene codon usage.

  • Published In: Biotechnology & Applied Biochemistry, 2023, v. 70, n. 1. P. 97 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Chen, Yu‐San; Wu, Hsing‐Chieh; Lin, Jin‐Ru; Yang, Jia‐Ling; Kuo, Tsun‐Yung 3 of 3

Abstract

Pfu DNA polymerase is a vital enzyme in PCR‐related experiments. However, it is not easy to achieve high‐level expression and high purity through one‐step purification. This paper illustrates the method to acquire the full‐length open reading frame of Pfu DNA polymerase. Without altering its amino acids, we have modified the codon usage, based on that of the enhanced green fluorescence protein (eGFP), and named it rPfu. The synthesized rPfu gene has been subcloned into the pET28a plasmid and expressed in four Escherichia coli strains without the pLysS plasmid. Three strains have expressed a high level of soluble Pfu DNA polymerase. With the aid of Ni‐NTA His•Bind® resin, we could obtain high purity (>95%) soluble recombinant protein. Compared with the commercial, proofreading DNA polymerase, rPfu's bioactivity was 12,987 U/mg; that is, 88,311 U of rPfu could be obtained from 50 mL cultured E. coli. The purified rPfu was able to amplify the length of DNA fragments at least 5.5 kb. The method of increasing soluble protein's yield using the eGFP codon usage may introduce a new possibility to the expression of other soluble recombinant proteins. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Biotechnology & Applied Biochemistry. 2023/02, Vol. 70, Issue 1, p97
  • Document Type:Article
  • Subject Area:Biotechnology
  • Publication Date:2023
  • ISSN:0885-4513
  • DOI:10.1002/bab.2331
  • Accession Number:161968628
  • Copyright Statement:Copyright of Biotechnology & Applied Biochemistry is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.