↓ Skip to main content

A Novel Method for Efficient Preparation of Mucosal Adjuvant Escherichia coli Heat-Labile Enterotoxin Mutant (LTm) by Artificially Assisted Self-Assembly In Vitro

Overview of attention for article published in Applied Biochemistry and Biotechnology, February 2016
Altmetric Badge

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
10 Mendeley
Title
A Novel Method for Efficient Preparation of Mucosal Adjuvant Escherichia coli Heat-Labile Enterotoxin Mutant (LTm) by Artificially Assisted Self-Assembly In Vitro
Published in
Applied Biochemistry and Biotechnology, February 2016
DOI 10.1007/s12010-015-1977-4
Pubmed ID
Authors

Di Liu, Na Zhang, Wenyun Zheng, Hua Guo, Xiaoli Wang, Tianwen Wang, Ping Wang, Xingyuan Ma

Abstract

As well-known powerful mucosal adjuvant proteins, Escherichia coli heat-labile enterotoxin (LT) and its non-toxic or low-toxic mutants (LTm) are capable of promoting strong mucosal immune responses to co-administered antigens in various types of vaccines. However, due to the complex composition and special structure, the yield of LTm directly from the recombinant genetic engineering strains is quite low. Here, we put forward a novel method to prepare LTm protein which designed, expressed, and purified three kinds of component subunits respectively and assembled them into a hexamer structure in vitro by two combination modes. In addition, by simulated in vivo environment of polymer protein assembly, the factors of the protein solution system which include environment temperature, pH, ionic strength of the solution, and ratio between each subunit were taken into consideration. Finally, we confirmed the optimal conditions of two assembly strategies and prepared the hexamer holotoxin in vitro. These results are not only an important significance in promoting large-scale preparation of the mucosal adjuvant LTm but also an enlightening to produce other multi-subunit proteins.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 40%
Researcher 2 20%
Student > Doctoral Student 1 10%
Unknown 3 30%
Readers by discipline Count As %
Chemical Engineering 2 20%
Pharmacology, Toxicology and Pharmaceutical Science 2 20%
Biochemistry, Genetics and Molecular Biology 1 10%
Immunology and Microbiology 1 10%
Chemistry 1 10%
Other 0 0%
Unknown 3 30%