Justus Hammon and Dinesh V. Palanivelu contributed equally to this work.
Article
A green fluorescent protein screen for identification of well-expressed membrane proteins from a cohort of extremophilic organisms
Article first published online: 2 DEC 2008
DOI: 10.1002/pro.18
Copyright © 2008 The Protein Society
Additional Information
How to Cite
Hammon, J., Palanivelu, D. V., Chen, J., Patel, C. and Minor, D. L. (2009), A green fluorescent protein screen for identification of well-expressed membrane proteins from a cohort of extremophilic organisms. Protein Science, 18: 121–133. doi: 10.1002/pro.18
Publication History
- Issue published online: 16 DEC 2008
- Article first published online: 2 DEC 2008
- Accepted manuscript online: 2 DEC 2008 12:00AM EST
- Manuscript Accepted: 15 OCT 2008
- Manuscript Revised: 10 OCT 2008
- Manuscript Received: 3 SEP 2008
Funded by
- NIH-NIGMS (Membrane Protein Expression Center and Center for the Structures of Membrane Proteins)
- American Heart Association
Keywords:
- membrane protein expression;
- GFP-screen;
- extremophile
Abstract
Green fluorescent protein (GFP) fusion proteins provide a potentially facile tool for identification of well expressed, properly behaved membrane proteins for biochemical and structural study. Here, we present a GFP-expression survey of >300 membrane proteins from 18 bacterial and archaeal extremophiles, organisms expected to be rich sources of membrane proteins having robust biophysical properties. We find that GFP-fusion fluorescence intensity is an excellent indicator of over-expression potential. By employing a follow-up optimization protocol using a suite of non-GFP constructs and different expression temperatures, we obtain 0.5–15 mg L−1 expression levels for 90% of the tested candidate proteins that pass the GFP screen. Evaluation of the results suggests that certain organisms may serve as better sources of well-expressed membrane proteins than others, that the degree to which codon usage matches the expression host is uncorrelated with success rate, and that the combination of GFP screening and expression optimization is essential for producing biochemically tractable quantities of material.

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