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1 Duke University Medical Center, Department of Biochemistry, Durham, North Carolina 27710, USA
2 Wayne State University, Department of Chemistry, Detroit, Michigan 48202, USA
3 University of Maryland School of Medicine, Department of Biochemistry and Molecular Biology, Baltimore, Maryland 21201, USA
Reprint requests to: Homme W. Hellinga, Box 3711, Duke University Medical Center, Department of Biochemistry, Durham, NC 27710, USA; e-mail: hwh{at}biochem.duke.edu; fax: (919) 684-8885.
(RECEIVED September 28, 2004; FINAL REVISION November 8, 2004; ACCEPTED November 9, 2004)
| Abstract |
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Keywords: biosensors; protein design; periplasmic binding proteins; maltose binding protein; fluorescence; allosteric mechanism
Abbreviations: DTT, 1,4-dithio-D,L-threitol PBP, bacterial periplasmic binding protein MBP, Escherichia coli maltose binding protein IANBD, N-((2-(iodoacetoxy)-ethyl)-N-methyl)-amino-7-nitrobenz-2-oxa-1,3-diazole ICT, intramolecular charge transfer SASA, solvent accessible surface area
, average fluorescence lifetime
Article and publication are at http://www.proteinscience.org/cgi/doi/10.1110/ps.041146005.
| Introduction |
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Ideally, a molecular sensor is reagentless, such that the sensor composition remains invariant during the measurement, which is not the case for sensors based on enzymes or competitive binding assays. Systematic development of reagentless protein sensors requires that two fundamental mechanistic problems in structural biochemistry be solved. First, a thermodynamic linkage relationship between two sterically separated sites must be established to couple a reporter group to a ligand-binding site. Second, the ligand-binding affinity and specificity must be manipulated to create a sensor or family of sensors with appropriate dynamic range for the specified application and little or no interference from nontarget ligands (Hellinga and Marvin 1998). The optimization of biosensor ligand-binding affinity and specificity has been addressed in some detail (Gilardi et al. 1994; Dattelbaum and Lakowicz 2001; Marvin et al. 2001; Millet et al. 2003), including the radical computational redesign (Marvin and Hellinga 2001; Dwyer et al. 2003; Looger et al. 2003; Allert et al. 2004) or de novo design (Hellinga et al. 1991) of ligand-binding sites. The construction of a thermodynamic linkage between ligand binding and fluorescence (Gilardi et al. 1994; de Lorimier et al. 2002; Fehr et al. 2002) or electrochemical (Benson et al. 2001) properties has been facilitated by the determination of both apo- and ligand-bound protein structures, which allows the ranking of residues in terms of ligand-dependent distance changes (Marvin et al. 1997), or changes in solvent accessibility (Dattelbaum and Lakowicz 2001). However, most successful biosensor linkages in terms of both attachment site and fluorophore choice have been discovered by inspection or serendipity.
The Escherichia coli maltose binding protein (MBP) is a monomeric, soluble periplasmic protein involved in the transport of and chemotaxis toward maltose (Gerstein et al. 1994; Quiocho and Ledvina 1996). MBP is a member of the bacterial periplasmic binding (PBP) superfamily, which includes proteins with specificity for carbohydrates, amino acids, vitamins, oligopeptides, metals, and anions (Higgins 1992; Dwyer and Hellinga 2004). Previously, we reported the construction of rationally designed mutants of MBP, in which the behavior of a covalently attached fluorophore is allosterically coupled to ligand binding (Marvin et al. 1997). Proteins exhibiting such a Fluorescent Allosteric Signal Transduction (FAST) mechanism were constructed through the in vitro modification of single-cysteine mutants. Here, we further elucidate the microscopic mechanisms by which these fluorophores may transduce ligand-binding events into macroscopic observables. Site-directed mutagenesis and fluorescence data were used to investigate how local conformational changes at three distinct fluorophore coupling sites in MBP affect the environmentally sensitive fluorophore IANBD. Study of the underlying molecular mechanisms by which ligand-mediated conformational changes affect the behavior of reporter group conjugates will help to complete a protein design cycle, in which experimental data and molecular modeling together may be used to improve the future rational design of fluorescent protein biosensors that incorporate conjugated fluorophores.
| Results |
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Solvent accessibility of MBP allosteric mutants
The choice of fluorophore attachment sites in this study was guided by molecular modeling studies, through analysis of the inter-C
distance changes between the open and closed forms of MBP (Marvin et al. 1997). We and others have shown that residues that experience large conformational changes in response to ligand binding typically demonstrate significant changes in the fluorescent properties of probes covalently tethered at such locations (Dwyer and Hellinga 2004). In order to develop predictive methods for the rational selection of fluorophore attachment sites, we investigated the extent to which solvent accessibility may contribute to the allosteric linkage of ligand binding and to the fluorescence properties of environmentally sensitive dyes at each of these sites. By using the Lee-Richards algorithm (Lee and Richards 1971; Richards 1977) as implemented in the DEZYMER software suite, the solvent accessible surface area (SASA) for each residue was calculated in each conformational state (Table 2
). While moderate increases in SASA were modeled for F92C and D95C in the closed, relative to the open, state, a significant decrease in solvent accessibility was calculated for S233C.
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The D95C-NBD protein exhibits the largest increase in emission intensity upon maltose binding of the three mutants (Table 1
) but shows no significant change in fluorescence lifetime, or SV- or bimolecular-quenching constants (Table 2
). Taken together with the absence of a fluorescence wavelength shift (Table 1
), these data suggest that the interactions between the fluorophore and its environment cannot be rationalized in terms of solvent exposure.
Hydrogen bonding interactions dominate the D95C-NBD signaling mechanism
To further investigate the mechanistic origin for the fluorescent response of MBP D95C-NBD, a simple model of the conformational flexibility of the NBD fluorophore, in the context of the open, and the closed, forms of MBP, was generated (Materials and Methods) using a van der Waals term (Street and Mayo 1999) to model steric interaction factors (Fig. 4
). This model was generated using a simple representation of internal fluorophore flexibility, omitting protein main-chain flexibility, a rotameric model of side-chain flexibility at seven surrounding protein positions, and a rudimentary description of atomic interactions, and, as such, can be used only to identify putative interacting groups; a more realistic model of fluorophore-protein interactions will necessitate a more sophisticated treatment of conformational ensembles and interaction models. Within a 10 Å radius of its attachment site, side-chains that potentially interact with D95C-NBD include residues Tyr171 and Tyr176. The C
-C
distances of these residues to D95 increase by 8 Å and 4 Å, respectively, upon maltose binding (Fig. 4
).
|
F of 4.3 and a large red shift in the emission maximum (
= 14 nm) compared with D95C-NBD (
= 2 nm). The construction of the Y171F/Y176F double mutant virtually abolishes the ligand-dependent change in NBD fluorescence intensity (Fig. 5
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F = 8.4) (Table 3| Discussion |
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The complex photo-physical properties of NBD have been studied with respect to interactions with the chemical moieties of amino acids. Specific quenching of NBD emission by the tryptophan analog, NATA, was observed by Lancet and Pecht (1977). Further study into the spectroscopic properties of NBD by Lin and Struve (1991) also suggested a direct interaction between this fluorophore and NATA in organic solutions. Using time-resolved fluorescence spectroscopy, Gilardi et al. (1997) have investigated the specific solvent mechanisms by which environmentally sensitive fluorophores may respond to ligand binding. Using SV fluorescence quenching with iodide, we have validated the use of solvent accessibility calculations as a potential predictor of fluorescence response, although the bio-sensor with the greatest change cannot be rationalized by this measure. We have shown that differential solvent accessibility need not be the only principle upon which a protein biosensor may be designed. Indeed, specific interactions between a fluorophore and protein are likely to provide the best signaling mechanism (D95C-NBD exhibits the largest maltose-dependent change in fluorescence). Our results identify a serendipitous quenching interaction between NBD and two nearby tyrosine residues, which results in a 440% increase in fluorescence intensity upon maltose binding, which is most likely to be mediated by two specific hydrogen bonds contributed by nearby tyrosine residues. To our knowledge this is the first report to identify a particular interaction between covalently tethered NBD and a specific tyrosine residue. Taken together, these results suggest that construction of a fluorophore "cage," in which fluorescence is quenched in the open, but relieved in the closed state, through construction of differential hydrogen-bonding interactions in the two states is a very effective method for construction of optimal fluorescence signal transduction mechanisms in protein-based biosensors. It is likely that computational design techniques are well suited for this task.
| Materials and methods |
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Preparation of reporter group conjugates
The unique cysteine residues introduced individually at positions F92, D95, and S233 were covalently labeled with the environmentally sensitive fluorophore, N-((2-iodoacetoxy)ethyl)-N-methyl) amino-7-nitrobenz-2-oxa-1,3-diazole (IANBD ester, Molecular Probes). Purified protein was incubated with a fivefold excess of reactive reporter group for 2 h at room temperature (20 mM MOPS at pH 6.9, 100 mM NaCl; 25°C). Unreacted fluorophore was removed by passing samples over an Econo-Pac 10 DG desalting column (Bio-Rad). Complete removal of maltose from MBP was ensured by rapid dialysis against reaction buffer (three buffer changes), using dialysis cartridges (Pierce Chemicals).
Steady-state fluorescence
All fluorescence measurements were recorded on a ThermoSpectronic AB2 spectrofluorometer. Fluorescence emission intensity from NBD-labeled protein conjugates (500 nM) in 20 mM MOPS (pH 6.9) and 100 mM NaCl was measured using 470-nm excitation at 25°C. To determine the maltose-binding affinity of each labeled mutant, changes in NBD fluorescence emission intensity were measured upon the addition of increasing concentrations of maltose (0200 µM). Experimentally observed data were fit to a single-site binding isotherm (de Lorimier et al. 2002).
For iodide quenching of NBD-labeled proteins, the samples were incubated with increasing concentrations of NaI (0300 mM), with NaCl added to achieve a final ionic strength of 500 mM. Samples also contained 1 mM Na2S2O3 to prevent iodine formation. For all measurements, excitation and emission polarizers were oriented 0° and 54.7° ("magic angle" conditions), respectively, to eliminate the intrinsic polarization of the system (Lakowicz 1999).
Time-resolved fluorescence
The fluorescence lifetimes of NBD-labeled proteins were measured using frequency domain instrumentation described previously (Thompson and Gratton 1988). The 442-nm output of a Kimmon HeCd laser was amplitude-modulated using an electro-optical pockels cell (ISS, Inc.). Rose Bengal in ethanol (
= 0.9 nsec) was used as a lifetime standard. The data were analyzed using a multiexponential model and fit using nonlinear least squares, as previously described (Lakowicz and Gryczynski 1991).
Molecular modeling
The SASA of amino acid side-chain atoms was calculated using the Lee-Richards algorithm (Lee and Richards 1971; Richards 1977), as implemented in the DEZYMER software suite (Hellinga and Richards 1991; Looger et al. 2003). The solvent-accessible surface is defined as the locus of all points, which are a given probe radius (typically set to 1.4 Å) away from the set of van der Waals surfaces of all heavy atoms in the molecule. Per-residue SASA is computed as the area of that portion of the accessible surface that arises from a given side-chain. SASA was computed for the wild-type side-chain, in the crystallographically determined conformation, in either the open (Protein Data Bank [PDB] code 1OMP
[PDB]
; Spurlino et al. 1991) or the closed (PDB code 1ANF
[PDB]
; Quiocho et al. 1997) state.
A model of NBD-cysteine was created using Chem3D (http://www.cambridgesoft.com). An ensemble of low-energy conformers of the nonnatural side-chain, in vacuo, was computed using Monte Carlo sampling (Boltmann decision of e
E/100) of the seven rotatable dihedral angles (each move a single change of dihedral angle taken randomly from the interval [10°, 10°]), using a simple van der Waals term to model sterics (Street and Mayo 1999), as implemented in the DEZYMER suite. A total of 1,000,000 steps were performed, with the 5000 lowest-energy conformers constituting the ensemble of allowed NBD structures.
This ensemble of side-chain structures was placed at MBP position 95 (replacing all previous atoms contributed by the wild-type aspartate side-chain), in the open and the closed form, with the seven surrounding protein side-chains (residues 83, 86, 98, 171, 176, 256, and 328) truncated to alanine. NBD conformers with an interaction energy of >20 kcal/mol (using the same sterics potential) with this truncated protein scaffold were eliminated. Conformational states for the seven protein side-chains were taken from a high-quality rotamer library (Looger et al. 2003). The minimum-energy conformation of the seven natural and one nonnatural side-chains was determined by enumeration of all possibilities. The modeled minimum-energy conformation is shown for the open state (Fig. 4A
) and the closed state (Fig. 4B
) of MBP.
Structures were downloaded from the PDB (http://www.rcsb.org); molecular drawings were made with PyMOL (http:// www.pymol.org).
| Acknowledgments |
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