Nanoscale orientation and lateral organization of chimeric metal-binding green fluorescent protein on lipid membrane determined by epifluorescence and atomic force microscopy

Fluorescent protein-based optical biosensor for copper ion quantitation

In the present study, spectroscopic determinations of copper ions using chimeric metal-binding green fluorescent protein (His6GFP) as an active indicator have been explored. Supplementation of copper ions to the GFP solution led to a remarkable decrease of fluorescent intensity corresponding to metal concentrations. For circumstances, rapid declining of fluorescence up to 60% was detected in the presence of 500 microM copper. This is in contrast to those observed in the case of zinc and calcium ions, in which approximately 10-20% of fluorescence was affected. Recovery of its original fluorescence up to 80% was mediated by the addition of ethylenediamine tetraacetic acid. More importantly, in the presence of metal ions, the emission wavelength maximum remains unchanged while reduction of the optical density of the absorption spectrum has been observed. This indicates that the chromophore's ground state was possibly affected by the static quenching process. Results from circular dichroism measurements revealed that the overall patterns of circular dichroism spectra after exposure to copper ions were not significantly different from that of the control, where the majority of sharp positive band around 195-196 nm in combination with a broad negative deflection around 215-216 nm was obtained. Taken together, it can be presumed that copper ions exerted their static quenching on the fluorescence rather than structural or conformational alteration. However, notification has to be made that some peptide rearrangements may also occur in the presence of metal ions. Further studies were conducted to investigate the feasibility of using the His6GFP as a sensing unit for copper ions. The His6GFP was encapsulated in Sol-gel and immobilized onto the optical fiber connected with a fluorescence detecting device. The Sol-gel was doped into the metal solution where the quenching of fluorescence could be monitored in real time. The sensing unit provided a high sensitivity of detection in the range of 0.5 microM to 50 mM with high selectivity for copper ions. All these findings open up a high potential to apply the fluorescent protein-based bioanalytical tool for copper determination in the future.

EDTA-induced membrane fluidization and destabilization: biophysical studies on artificial lipid membranes

The molecular mechanism of ethylenediaminetetraacetic acid (EDTA)-induced membrane destabilization has been studied using a combination of four biophysical techniques on artificial lipid membranes. Data from Langmuir film balance and epifluorescence microscopy revealed the fluidization and expansion effect of EDTA on phase behavior of monolayers of either 1,2-dipalmitoyl-sn-glycero-3-phosphocholine (DPPC) or mixtures of DPPC and metal-chelating lipids, such as N(alpha),N(alpha)-Bis[carboxymethyl]-N(epsilon)-[(dioctadecylamino)succinyl]-L-lysine or 1,2-dioleoyl-sn-glycero-3-[N-(5-amino-1-carboxypentyl iminodiacetic acid) succinyl]. A plausible explanation could be drawn from the electrostatic interaction between negatively charged groups of EDTA and the positively charged choline head group of DPPC. Intercalation of EDTA into the lipid membrane induced membrane curvature as elucidated by atomic force microscopy. Growth in size and shape of the membrane protrusion was found to be time-dependent upon exposure to EDTA. Further loss of material from the lipid membrane surface was monitored in real time using a quartz crystal microbalance. This indicates membrane restabilization by exclusion of the protrusions from the surface. Loss of lipid components facilitates membrane instability, leading to membrane permeabilization and lysis.

Prediction of GFP spectral properties using artificial neural network

The prediction of the excitation and the emission maxima of green fluorescent protein (GFP) chromophores were investigated by a quantitative structure-property relationship study. A data set of 19 GFP color variants and an additional data set consisting of 29 synthetic GFP chromophores were collected from the literature. Artificial neural network implementing the back-propagation algorithm was employed. The proposed computational approach reliably predicted the excitation and the emission maxima of GFP chromophores with correlation coefficient exceeding 0.9. The usefulness of quantum chemical descriptors was revealed by a comparative study with other molecular descriptors. Assignment of appropriate protonation state of the chromophore for the GFP color variants data set was shown to be necessary for good predictive performance. Results suggest that the confinement of the GFP chromophore has no significant influence on the predictive performance of the data set used. A comparative investigation with the traditional modeling methods, particularly multiple linear regression and partial least squares, reveals that artificial neural network is the most suitable modeling approach for the GFP spectral properties. It is anticipated that this methodology has great potential in accelerating the design and engineering of novel GFP color variants of scientific or industrial interest.

Co-expression of zinc binding motif and GFP as a cellular indicator of metal ions mobility

A significant role of zinc-binding motifs on metal mobility in Escherichia coli was explored using a chimeric metal-binding green fluorescent protein (GFP) as an intracellular zinc indicator. Investigation was initiated by co-transformation and co-expression of two chimeric genes encoding the chimeric GFP carrying hexahistidine (His6GFP) and the zinc-binding motif fused to outer membrane protein A (OmpA) in E. coli strain TG1. The presence of these two genes was confirmed by restriction endonucleases analysis. Co-expression of the two recombinant proteins exhibited cellular fluorescence activity and enhanced metal-binding capability of the engineered cells. Incorporation of the zinc-binding motif onto the membrane resulted in 60-fold more binding capability to zinc ions than those of the control cells. The high affinity to metal ions of the bacterial surface influenced influx of metal ions to the cells. This may affect the essential ions for triggering important cell metabolism. A declining of fluorescent intensity of GFP has been detected on the cell expressed of zinc binding motif. Meanwhile, balancing of metal homeostasis due to the presence of cytoplasmic chimeric His6GFP enhanced the fluorescent emission. These findings provide the first evidence of real-time monitoring of intracellular mobility of zinc by autofluorescent proteins.

Interaction analysis of chimeric metal-binding green fluorescent protein and artificial solid-supported lipid membrane by quartz crystal microbalance and atomic force microscopy

Non-specific adsorption and specific interaction between a chimeric green fluorescent protein (GFP) carrying metal-binding region and the immobilized zinc ions on artificial solid-supported lipid membranes was investigated using the quartz crystal microbalance technique and the atomic force microscopy (AFM). Supported lipid bilayer, composed of octanethiol and 1,2-dipalmitoyl-sn-glycero-3-phosphocholine/1,2-dioleoyl-sn-glycero-3-[N-(5-amino-1-carboxypentyl iminodiacetic acid)succinyl] (NTA-DOGS)-Zn2+, was formed on the gold electrode of quartz resonator (5 MHz). Binding of the chimeric GFP to zinc ions resulted in a rapid decrease of resonance frequency. Reversibility of the process was demonstrated via the removal of metal ions by EDTA. Nanoscale structural orientation of the chimeric GFP on the membrane was imaged by AFM. Association constant of the specific binding to metal ions was 2- to 3-fold higher than that of the non-specific adsorption, which was caused by the fluidization effect of the metal-chelating lipid molecules as well as the steric hindrance effect. This infers a possibility for a further development of biofunctionalized membrane. However, maximization is needed in order to attain closer advancement to a membrane-based sensor device.