Leptin, a 16 kDa nonglycosylated hormone, is produced by mature adipocytes and functions primarily in the hypothalamus to reduce food intake and body weight. To explore a new approach for high-level expression of human Leptin in Escherichia coli, the human Leptin gene, synthesized according to the published sequence, was cloned into the vector pET32a to construct a fusion expression plasmid: Trx-Leptin/pET32a. Our data showed that more than 40% of the fusion protein Trx-Leptin was expressed in soluble form. After purified by Ni-IDA affinity chromatography, cleaved by enterokinase and applied Ni-IDA affinity chromatography again, purified Leptin with homogeneity over 96% was achieved. The biofunctional experiments of purified Leptin showed a significant reduction in food intake and body weight of female mice treated with Leptin by comparing with control mice, and it indicated that the purified Leptin has full biological activity. In addition, our expression system was a very lowcost and efficient prokaryotic expression system. So taken together, our results demonstrated that our expression system of bio-active Leptin provided a new method for producing Leptin in big scale and would be widely applied in commercial Leptin producing industries.
According to statistical analysis of the actual situation and the existing data, the expression of the variable filtration ratio of the filter is given. Based on contamination control balancing equations of the hydraulic system, the variation curves of contamination level changing with time are obtained by Matlab/simulink. Through analysis of the example, the final expression of the variable filtration ratio of the filter is determined by fitting simulation results to the experimental data repeatedly, and the reliability of the expression is verified by compared with traditional fixed filtration ratio. For determining the true filtering performance of the filter and selecting the correct filter, this article has good theoretical guidance.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.