Full text

Turn on search term navigation

Copyright © 2012 Meili Gao et al. Meili Gao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Plants are a promising expression system for the production of recombinant proteins. However, low protein productivity remains a major obstacle that limits extensive commercialization of whole plant and plant cell bioproduction platform. Plastid genetic engineering offers several advantages, including high levels of transgenic expression, transgenic containment via maternal inheritance, and multigene expression in a single transformation event. In recent years, the development of optimized expression strategies has given a huge boost to the exploitation of plastids in molecular farming. The driving forces behind the high expression level of plastid bioreactors include codon optimization, promoters and UTRs, genotypic modifications, endogenous enhancer and regulatory elements, posttranslational modification, and proteolysis. Exciting progress of the high expression level has been made with the plastid-based production of two particularly important classes of pharmaceuticals: vaccine antigens, therapeutic proteins, and antibiotics and enzymes. Approaches to overcome and solve the associated challenges of this culture system that include low transformation frequencies, the formation of inclusion bodies, and purification of recombinant proteins will also be discussed.

Details

Title
Stable Plastid Transformation for High-Level Recombinant Protein Expression: Promises and Challenges
Author
Gao, Meili; Li, Yongfei; Xue, Xiaochang; Wang, Xianfeng; Long, Jiangang
Publication year
2012
Publication date
2012
Publisher
John Wiley & Sons, Inc.
ISSN
11107243
e-ISSN
11107251
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1272130596
Copyright
Copyright © 2012 Meili Gao et al. Meili Gao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.