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      Engineered Luciferase Reporter from a Deep Sea Shrimp Utilizing a Novel Imidazopyrazinone Substrate

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          Abstract

          Bioluminescence methodologies have been extraordinarily useful due to their high sensitivity, broad dynamic range, and operational simplicity. These capabilities have been realized largely through incremental adaptations of native enzymes and substrates, originating from luminous organisms of diverse evolutionary lineages. We engineered both an enzyme and substrate in combination to create a novel bioluminescence system capable of more efficient light emission with superior biochemical and physical characteristics. Using a small luciferase subunit (19 kDa) from the deep sea shrimp Oplophorus gracilirostris, we have improved luminescence expression in mammalian cells ∼2.5 million-fold by merging optimization of protein structure with development of a novel imidazopyrazinone substrate (furimazine). The new luciferase, NanoLuc, produces glow-type luminescence (signal half-life >2 h) with a specific activity ∼150-fold greater than that of either firefly ( Photinus pyralis) or Renilla luciferases similarly configured for glow-type assays. In mammalian cells, NanoLuc shows no evidence of post-translational modifications or subcellular partitioning. The enzyme exhibits high physical stability, retaining activity with incubation up to 55 °C or in culture medium for >15 h at 37 °C. As a genetic reporter, NanoLuc may be configured for high sensitivity or for response dynamics by appending a degradation sequence to reduce intracellular accumulation. Appending a signal sequence allows NanoLuc to be exported to the culture medium, where reporter expression can be measured without cell lysis. Fusion onto other proteins allows luminescent assays of their metabolism or localization within cells. Reporter quantitation is achievable even at very low expression levels to facilitate more reliable coupling with endogenous cellular processes.

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          Most cited references29

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          Codon-optimized Gaussia luciferase cDNA for mammalian gene expression in culture and in vivo.

          Photoproteins have played a major role in advancing our understanding of biological processes. A broader array of biocompatible, nontoxic, and novel reporters can serve to expand this potential. Here we describe the properties of a luciferase from the copepod marine organism Gaussia princeps. It is a monomeric protein composed of 185 aa (19.9 kDa) with a short coding sequence (555 bp) making it suitable for viral vectors. The humanized form of Gaussia luciferase (hGLuc) was efficiently expressed in mammalian cells following delivery by HSV-1 amplicon vectors. It was found to be nontoxic and naturally secreted, with flash bioluminescence characteristics similar to those of other coelenterazine luciferases. hGLuc generated over 1000-fold higher bioluminescent signal intensity from live cells together with their immediate environment and over 100-fold higher intensity from viable cells alone (not including secreted luciferase) or cell lysates, compared to humanized forms of firefly (hFLuc) and Renilla (hRLuc) luciferases expressed under similar conditions. Furthermore, hGLuc showed 200-fold higher signal intensity than hRLuc and intensity comparable to that of hFLuc in vivo under standard imaging conditions. Gaussia luciferase provides a sensitive means of imaging gene delivery and other events in living cells in culture and in vivo, with a unique combination of features including high signal intensity, secretion, and ATP independence, thus being able to report from the cells and their environment in real time.
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            Coping with stress: multiple ways to activate p53.

            Over the years, p53 has been shown to sit at the centre of an increasingly complex web of incoming stress signals and outgoing effector pathways. The number and diversity of stress signals that lead to p53 activation illustrates the breadth of p53's remit - responding to a wide variety of potentially oncogenic insults to prevent tumour development. Interestingly, different stress signals can use different and independent pathways to activate p53, and there is some evidence that different stress signals can mediate different responses. How each of the responses to p53 contributes to inhibition of malignant progression is beginning to be clarified, with the hope that identification of responses that are key to tumour suppression will allow a more focused and effective search for new therapeutic targets. In this review, we will highlight some recently identified roles for p53 in tumour suppression, and discuss some of the numerous mechanisms through which p53 can be regulated and activated.
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              GeneSilico protein structure prediction meta-server.

              Rigorous assessments of protein structure prediction have demonstrated that fold recognition methods can identify remote similarities between proteins when standard sequence search methods fail. It has been shown that the accuracy of predictions is improved when refined multiple sequence alignments are used instead of single sequences and if different methods are combined to generate a consensus model. There are several meta-servers available that integrate protein structure predictions performed by various methods, but they do not allow for submission of user-defined multiple sequence alignments and they seldom offer confidentiality of the results. We developed a novel WWW gateway for protein structure prediction, which combines the useful features of other meta-servers available, but with much greater flexibility of the input. The user may submit an amino acid sequence or a multiple sequence alignment to a set of methods for primary, secondary and tertiary structure prediction. Fold-recognition results (target-template alignments) are converted into full-atom 3D models and the quality of these models is uniformly assessed. A consensus between different FR methods is also inferred. The results are conveniently presented on-line on a single web page over a secure, password-protected connection. The GeneSilico protein structure prediction meta-server is freely available for academic users at http://genesilico.pl/meta.

                Author and article information

                Journal
                ACS Chem Biol
                ACS Chem. Biol
                cb
                acbcct
                ACS Chemical Biology
                American Chemical Society
                1554-8929
                1554-8937
                15 August 2012
                16 November 2012
                : 7
                : 11
                : 1848-1857
                Affiliations
                []Promega Corporation , Madison, Wisconsin 53711 United States
                []Promega Biosciences Incorporated , San Luis Obispo, California 93401 United States
                Author notes
                Article
                10.1021/cb3002478
                3501149
                22894855
                99f18045-3929-4aa0-baf4-e28a488515fd
                Copyright © 2012 American Chemical Society

                This is an open-access article distributed under the ACS AuthorChoice Terms & Conditions. Any use of this article, must conform to the terms of that license which are available at http://pubs.acs.org.

                History
                : 17 May 2012
                : 15 August 2012
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                Articles
                Custom metadata
                cb3002478
                cb-2012-002478

                Biochemistry
                Biochemistry

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