Site-Specific Reversible Protein and Peptide Modification: Transglutaminase-Catalyzed Glutamine Conjugation and Bioorthogonal Light-Mediated Removal.

Dynamic photoswitches in proteins that impart spatial and temporal control are important to manipulate and study biotic and abiotic processes. Nonetheless, approaches to install these switches into proteins site-specifically are limited. Herein we describe a novel site-specific method to generate photoremovable protein conjugates. Amine-containing chromophores (e.g., venerable  o-nitrobenzyl and less-explored o-nitrophenylethyl groups) were incorporated via transamidation into a glutamine side chain of α-gliadin, LCMV, and TAT peptides, as well as ß-casein and UmuD proteins by transglutaminase (TGase, EC 2.3.2.13). Subsequently, photolysis regenerated the native peptides and proteins. When this modification leads to the reduction or abolishment of certain activities, the process is referred to as caging, as in the case for E. coli polymerase manager protein UmuD. Importantly, this method is simple, robust, and easily adaptable, e.g., all components are commercially available.

ampliPHOX colorimetric detection on a DNA microarray for influenza.

DNA microarrays have emerged as a powerful tool for pathogen detection. For instance, many examples of the ability to type and subtype influenza virus have been demonstrated. The identification and subtyping of influenza on DNA microarrays has applications in both public health and the clinic for early detection, rapid intervention, and minimizing the impact of an influenza pandemic. Traditional fluorescence is currently the most commonly used microarray detection method. However, as microarray technology progresses towards clinical use, replacing expensive instrumentation with low cost detection technology exhibiting similar performance characteristics to fluorescence will make microarray assays more attractive and cost-effective. The ampliPHOX colorimetric detection technology is intended for research applications, and has a limit of detection within one order of magnitude of traditional fluorescence, with a main advantage being an approximate ten-fold lower instrument cost compared to the confocal microarray scanners required for fluorescence microarray detection. Another advantage is the compact size of the instrument which allows for portability and flexibility, unlike traditional fluorescence instruments. Because the polymerization technology is not as inherently linear as fluorescence detection, however, it is best suited for lower density microarray applications in which a yes/no answer for the presence of a certain sequence is desired, such as for pathogen detection arrays. Currently the maximum spot density compatible with ampliPHOX detection is ˜1800 spots/array. Because of the spot density limitations, higher density microarrays are not suitable for ampliPHOX detection. Here, we present ampliPHOX colorimetric detection technology as a method of signal amplification on a low density microarray developed for the detection and characterization of influenza viruses (FluChip). Although this protocol uses the FluChip (a DNA microarray) as one specific application of ampliPHOX detection, any microarray incorporating biotinylated target can be labeled and detected in a similar manner. The microarray design and biotinylation of the target to be captured are the responsibility of the user. Once the biotinylated target has been captured on the array, ampliPHOX detection can be performed by first tagging the array with a streptavidin-label conjugate (ampliTAG). Upon light exposure using the ampliPHOX Reader instrument, polymerization of a monomer solution (ampliPHY) occurs only in regions containing ampliTAG-labeled targets. The polymer formed can be subsequently stained with a non-toxic solution to improve visual contrast, followed by imaging and analysis using a simple software package (ampliVIEW). The entire FluChip assay from un-extracted sample to result can be performed in about 6 hours, and the ampliPHOX detection steps described above can be completed in about 30 min.