Literature DB >> 14711493

Improved recombinant gene expression in CHO cells using matrix attachment regions.

Jong-Mook Kim1, Jung-Seob Kim, Doo-Hong Park, Ho Sung Kang, Jaeseung Yoon, Kwanghee Baek, Yeup Yoon.   

Abstract

The use of animal cells such as Chinese hamster ovary (CHO) cells for recombinant gene expression provides many advantageous features such as proper folding and post-translational modification of the recombinant protein. However, recombinant genes introduced into animal cells are often expressed at low levels mainly due to position effects from the neighboring chromatin context. The tedious and time-consuming selection and amplification procedure has been the major hurdle for using animal cell line such as CHO cells. To improve mammalian cell expression systems, we screened a variety of matrix/scaffold attachment region (MAR/SAR) elements for their ability to insulate transgene expression from the position effects in CHO cells. We found that the human beta-globin MAR element is particularly effective as the frequency of beta-Gal positive colonies was increased by up to 80%. The expression levels of these colonies were also enhanced about seven-fold. These improvements appear to be related to the increased copy numbers and a higher efficiency of expression of the integrated genes. When this element was used to express soluble TGF-beta type II receptor (sTbetaRII) through the gene amplification system, the frequency of colonies expressing detectable amounts of sTbetaRII was much higher than that of the control vector. We could also generate high sTbetaRII producers with uniform growth properties by a simple two-step amplification process involving two concentrations of methotrexate. This eliminates the need to isolate individual colonies followed by multi-step treatments of methotrexate and thereby greatly simplifies this mammalian expression system.

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Year:  2004        PMID: 14711493     DOI: 10.1016/j.jbiotec.2003.09.015

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


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