Given the particular importance of dye photostability for single-molecule and fluorescence fluctuation spectroscopy investigations, refined strategies were explored for how to chemically retard dye photobleaching. These strategies will be useful for fluorescence correlation spectroscopy (FCS), fluorescence-based confocal single-molecule detection (SMD) and related techniques. In particular, the effects on the addition of two main categories of antifading compounds, antioxidants (n-propyl gallate, nPG, ascorbic acid, AA) and triplet state quenchers (mercaptoethylamine, MEA, cyclo-octatetraene, COT), were investigated, and the relevant rate parameters involved were determined for the dye Rhodamine 6G. Addition of each of the compound categories resulted in significant improvements in the fluorescence brightness of the monitored fluorescent molecules in FCS measurements. For antioxidants, we identify the balance between reduction of photoionized fluorophores on the one hand and that of intact fluorophores on the other as an important guideline for what concentrations to be added for optimal fluorescence generation in FCS and SMD experiments. For nPG/AA, this optimal concentration was found to be in the lower micromolar range, which is considerably less than what has previously been suggested. Also, for MEA, which is a compound known as a triplet state quencher, it is eventually its antioxidative properties and the balance between reduction of fluorophore cation radicals and that of intact fluorophores that defines the optimal added concentration. Interestingly, in this optimal concentration range the triplet state quenching is still far from sufficient to fully minimize the triplet populations. We identify photoionization as the main mechanism of photobleaching within typical transit times of fluorescent molecules through the detection volume in a confocal FCS or SMD instrument (<1-20 ms), and demonstrate its generation via both one- and multistep excitation processes. Apart from reflecting a major pathway for photobleaching, our results also suggest the exploitation of the photoinduced ionization and the subsequent reduction by antioxidants for biomolecular monitoring purposes and as a possible switching mechanism with applications in high-resolution microscopy.

No abstract

Protein fragment complementation assays (PCAs) based on different reporter proteins have been described as powerful tools for monitoring dynamic protein-protein interactions in living cells. The present study describes the construction of a PCA system based on genetic splitting of TEM-1 beta-lactamase for the selection of proteins specifically interacting in the periplasm of Escherichia coli bacterial cells, and its application for the selection of affibody molecules binding human tumour necrosis factor-alpha (TNF-alpha) from a combinatorial library. Vectors encoding individual members of a naïve 10(9) affibody protein library fused to a C-terminal fragment of the beta-lactamase reporter were distributed via phage infection to a culture of cells harbouring a common construct encoding a fusion protein between a non-membrane anchored version of a human TNF-alpha target and the N-terminal segment of the reporter. An initial binding analysis of 29 library variants derived from surviving colonies using selection plates containing ampicillin and in some cases also the beta-lactamase inhibitor tazobactam, indicated a stringent selection for target binding variants. Subsequent analyses showed that the binding affinities (K(D)) for three selected variants studied in more detail were in the range 14-27 nm. The selectivity in binding to TNF-alpha for these variants was further demonstrated in both a cross-target PCA-based challenge and the specific detection of a low nm concentration of TNF-alpha spiked into a complex cell lysate sample. Further, in a biosensor-based competition assay, the binding to TNF-alpha of three investigated affibody variants could be completely blocked by premixing the target with the therapeutic monoclonal antibody adalimumab (Humira), indicating overlapping epitopes between the two classes of reagents. The data indicate that beta-lactamase PCA is a promising methodology for stringent selection of binders from complex naïve libraries to yield high affinity reagents with selective target binding characteristics.