Use of the green fluorescent protein variant (YFP) to monitor MetArg humanproinsulin production in Escherichia coli

Citation
S. Dabrowski et al., Use of the green fluorescent protein variant (YFP) to monitor MetArg humanproinsulin production in Escherichia coli, PROT EX PUR, 16(2), 1999, pp. 315-323
Citations number
25
Categorie Soggetti
Biochemistry & Biophysics
Journal title
PROTEIN EXPRESSION AND PURIFICATION
ISSN journal
10465928 → ACNP
Volume
16
Issue
2
Year of publication
1999
Pages
315 - 323
Database
ISI
SICI code
1046-5928(199907)16:2<315:UOTGFP>2.0.ZU;2-Z
Abstract
Green fluorescent protein (GFP), a relatively new reporter gene, is making an impact on many aspects of science. The attributes of GFP could also be a pplied to the area of recombinant protein production. The work described he re represents the first experiments using GFP as a tool to monitor recombin ant protein production in real time in the fermentation process. We have co nstructed plasmids containing an operon fusion of the gene encoding MetArg- human proinsulin and reporter gene GFP (GFP, BFP, and YFP variants). The Me tArg-proinsulin and GFP variant reporter protein were overexpressed in Esch erichia coli BL21(DE3) after isopropyl beta-D-thiogalactoside induction. Th e MetArg-proinsulin to YFP protein ratio did not change in the cells during the bioprocess. Since there is a quantitative relationship between the lev el of MetArg-proinsulin concentration and YFP fluorescence, it is possible to measure only YFP fluorescence in order to monitor the production of MetA rg-proinsulin during the bioprocess. The expression level of MetArg-proinsu lin could reach 20-25%. Some 140 mg recombinant MetArg-human proinsulin cou ld be obtained easily from 1 liter of fermentation medium. The MetArg-proin sulin could simply be changed into human insulin by trypsin and carboxypept idase B treatment in later steps. These experiments provide possibilities f or using the YFP reporter gene as a convenient tool to monitor protein expr ession in biotechnological processes. The proposed technique could reduce t he time- and labor-intensive analysis of protein production and would impro ve the efficiency of process development. (C) 1999 Academic Press.