Determination of binding constants by equilibrium titration with circulating sample in a surface plasmon resonance biosensor

Epitope specificity of two anti-morphine monoclonal antibodies: In vitro and in silico studies

Monoclonal antibodies (mAbs) against morphine are important in the development of immunotherapeutic and diagnostic methods for the treatment and prevention of drug addiction. By the surface plasmon resonance (SPR) and enzyme immunoassay techniques, we characterized two previously obtained mAbs 3K11 and 6G1 and showed their ability to recognize free morphine and morphine-containing antigens in different ways because of the epitope specificity thereof. Using the defined amino acid sequences, we obtained three-dimensional models of the variable regions of Fab fragments of these antibodies and compared them with the known sequence and spatial structure of the anti-morphine antibody 9B1. Docking simulations are performed to obtain models of the antibodies complexes with morphine. Differences in the models of 3K11 and 6G1 complexes with morphine correlate with their experimentally detected epitope specificity. The results, in particular, can be used for the structure-based design of the corresponding humanized antibodies. According to our modeling and docking results, the very different modes of morphine binding to mAbs 3K11 and 6G1 are qualitatively similar to those previously reported for cocaine and two anti-cocaine antibodies. Thus, the obtained structural information brings more insight into the hapten recognition diversity.

Interpretation of results from the competitive Biacore procedure for characterizing immunochemical interactions in solution

Rigorous consideration of the consequences of antibody bivalence in the published competitive kinetic procedure for quantifying the solution characteristics of an antigen-antibody interaction in solution has rendered redundant the practice of substituting the Fab fragment for the antibody to ensure validity of the analysis of results in terms of theory developed for a univalent analyte. Although the quantitative expressions differ for univalent and bivalent analytes, the additional contribution arising from bivalence is likely to be well within the limits of experimental uncertainty in the measured binding constant.

Measuring Protein Interactions by Optical Biosensors

This unit gives an introduction to the basic techniques of optical biosensing for measuring equilibrium and kinetics of reversible protein interactions. Emphasis is placed on description of robust approaches that will provide reliable results with few assumptions. How to avoid the most commonly encountered problems and artifacts is also discussed. © 2017 by John Wiley & Sons, Inc.

One-Step Ligand Immobilization and Single Sample Injection for Regeneration-Free Surface Plasmon Resonance Measurements of Biomolecular Interactions

Surface plasmon resonance (SPR) has been well established as a method of choice for label-free kinetic measurements of biomolecular interactions. The conventional approach involves multiple injections of an analyte of different concentrations into a fluidic channel covered with a fixed ligand density. Optimization of the experimental conditions and assessment of the data quality can be complicated by issues such as disruption of the ligand structure by the regeneration step and the limited availability of the sample solution. By sequentially closing fluidic channels on a five-channel SPR instrument, different densities of a ligand can be immobilized and determined in one step. With a subsequent injection of a single sample solution, SPR sensorgrams can be simultaneously collected to yield binding and dissociation rate constants (k_a and k_d) and dissociation constant (K_D) between the ligand and analyte. For biomolecular interactions that obey the Langmuir isotherm, we show that the fidelity of the kinetic data can only be reliably confirmed when there exists a strong linear correlation between the SPR signals and the ligand densities. The use of a multichannel SPR instrument also obviates the regeneration step, allowing the binding kinetics between the green fluorescent protein and its antibody to be measured. In comparison to the conventional approach, the method simplifies the experimental procedure, reduces costs associated with sensor chips and biological samples, expedites kinetic measurements, and allows affinity constants to be determined more straightforwardly.

Combining biophysical methods for the analysis of protein complex stoichiometry and affinity in SEDPHAT

Reversible macromolecular interactions are ubiquitous in signal transduction pathways, often forming dynamic multi-protein complexes with three or more components. Multivalent binding and cooperativity in these complexes are often key motifs of their biological mechanisms. Traditional solution biophysical techniques for characterizing the binding and cooperativity are very limited in the number of states that can be resolved. A global multi-method analysis (GMMA) approach has recently been introduced that can leverage the strengths and the different observables of different techniques to improve the accuracy of the resulting binding parameters and to facilitate the study of multi-component systems and multi-site interactions. Here, GMMA is described in the software SEDPHAT for the analysis of data from isothermal titration calorimetry, surface plasmon resonance or other biosensing, analytical ultracentrifugation, fluorescence anisotropy and various other spectroscopic and thermodynamic techniques. The basic principles of these techniques are reviewed and recent advances in view of their particular strengths in the context of GMMA are described. Furthermore, a new feature in SEDPHAT is introduced for the simulation of multi-method data. In combination with specific statistical tools for GMMA in SEDPHAT, simulations can be a valuable step in the experimental design.

Plasmonic nanosensors for simultaneous quantification of multiple protein-protein binding affinities

Most of current techniques used for the quantification of protein-protein interactions require the analysis of one pair of binding partners at a time. Herein we present a label-free, simple, fast, and cost-effective route to characterize binding affinities between multiple macromolecular partners simultaneously, using optical dark-field spectroscopy and individual protein-functionalized gold nanorods as sensing elements. Our NanoSPR method could easily become a simple and standard tool in biological, biochemical, and medical laboratories.

Complementary metal oxide semiconductor-compatible silicon nanowire biofield-effect transistors as affinity biosensors

Affinity biosensors use biorecognition elements and transducers to convert a biochemical event into a recordable signal. They provides the molecule binding information, which includes the dynamics of biomolecular association and dissociation, and the equilibrium association constant. Complementary metal oxide semiconductor-compatible silicon (Si) nanowires configured as a field-effect transistor (NW FET) have shown significant advantages for real-time, label-free and highly sensitive detection of a wide range of biomolecules. Most research has focused on reducing the detection limit of Si-NW FETs but has provided less information about the real binding parameters of the biomolecular interactions. Recently, Si-NW FETs have been demonstrated as affinity biosensors to quantify biomolecular binding affinities and kinetics. They open new applications for NW FETs in the nanomedicine field and will bring such sensor technology a step closer to commercial point-of-care applications. This article summarizes the recent advances in bioaffinity measurement using Si-NW FETs, with an emphasis on the different approaches used to address the issues of sensor calibration, regeneration, binding kinetic measurements, limit of detection, sensor surface modification, biomolecule charge screening, reference electrode integration and nonspecific molecular binding.

Analysis of protein interactions with picomolar binding affinity by fluorescence-detected sedimentation velocity

The study of high-affinity protein interactions with equilibrium dissociation constants (K_D) in the picomolar range is of significant interest in many fields, but the characterization of stoichiometry and free energy of such high-affinity binding can be far from trivial. Analytical ultracentrifugation has long been considered a gold standard in the study of protein interactions but is typically applied to systems with micromolar K_D. Here we present a new approach for the study of high-affinity interactions using fluorescence detected sedimentation velocity analytical ultracentrifugation (FDS-SV). Taking full advantage of the large data sets in FDS-SV by direct boundary modeling with sedimentation coefficient distributions c(s), we demonstrate detection and hydrodynamic resolution of protein complexes at low picomolar concentrations. We show how this permits the characterization of the antibody–antigen interactions with low picomolar binding constants, 2 orders of magnitude lower than previously achieved. The strongly size-dependent separation and quantitation by concentration, size, and shape of free and complex species in free solution by FDS-SV has significant potential for studying high-affinity multistep and multicomponent protein assemblies.

A comparison of binding surfaces for SPR biosensing using an antibody-antigen system and affinity distribution analysis

The application of optical biosensors in the study of macromolecular interactions requires immobilization of one binding partner to the surface. It is often highly desirable that the immobilization is uniform and does not affect the thermodynamic and kinetic binding parameters to soluble ligands. To achieve this goal, a variety of sensor surfaces, coupling strategies and surface chemistries are available. Previously, we have introduced a technique for determining the distribution of affinities and kinetic rate constants from families of binding and dissociation traces acquired at different concentrations of soluble ligand. In the present work, we explore how this affinity distribution analysis can be useful in the assessment and optimization of surface immobilization. With this goal, using an antibody-antigen interaction as a model system, we study the activity, thermodynamic and kinetic binding parameters, and heterogeneity of surface sites produced with different commonly used sensor surfaces, at different total surface densities and with direct immobilization or affinity capture.

Global multi-method analysis of affinities and cooperativity in complex systems of macromolecular interactions

Cooperativity, multisite, and multicomponent interactions are hallmarks of biological systems of interacting macromolecules. Their thermodynamic characterization is often very challenging due to the notoriously low information content of binding isotherms. We introduce a strategy for the global multimethod analysis of data from multiple techniques (GMMA) that exploits enhanced information content emerging from the mutual constraints of the simultaneous modeling of orthogonal observables from calorimetric, spectroscopic, hydrodynamic, biosensing, or other thermodynamic binding experiments. We describe new approaches to address statistical problems that arise in the analysis of dissimilar data sets. The GMMA approach can significantly increase the complexity of interacting systems that can be accurately thermodynamically characterized.

Flow-through vs flow-over: analysis of transport and binding in nanohole array plasmonic biosensors

We quantify the efficacy of flow-through nanohole sensing, as compared to the established flow-over format, through scaling analysis and numerical simulation. Nanohole arrays represent a growing niche within surface plasmon resonance-based sensing methods, and employing the nanoholes as nanochannels can enhance transport and analytical response. The additional benefit offered by flow-through operation is, however, a complex function of operating parameters and application-specific binding chemistry. Compared here are flow-over sensors and flow-through nanohole array sensors with equivalent sensing area, where the nanohole array sensing area is taken as the inner-walls of the nanoholes. The footprints of the sensors are similar (e.g., a square 20 μm wide flow-over sensor has an equivalent sensing area as a square 30 μm wide array of 300 nm diameter nanoholes with 450 nm periodicity in a 100 nm thick gold film). Considering transport alone, an analysis here shows that given equivalent sensing area and flow rate the flow-through nanohole format enables greatly increased flux of analytes to the sensing surface (e.g., 40-fold for the case of Q = 10 nL/min). Including both transport and binding kinetics, a computational model, validated by experimental data, provides guidelines for performance as a function of binding time constant, analyte diffusivity, and running parameters. For common binding kinetics and analytes, flow-through nanohole arrays offer ∼10-fold improvement in response time, with a maximum of 20-fold improvement for small biomolecules with rapid kinetics.

The role of mass transport limitation and surface heterogeneity in the biophysical characterization of macromolecular binding processes by SPR biosensing

This chapter presents an introduction to the kinetic analysis of SPR biosensor data for the determination of affinity and kinetic rate constants of biomolecular interactions between an immobilized and a soluble binding partner. The need to be aware of and critically test the assumptions underlying the analysis models is emphasized and the consequences for the experimental design are discussed. The two most common sources of deviation in SPR surface binding kinetics from the ideal pseudo-first-order binding kinetics of bimolecular reactions are mass transport limitations and the heterogeneity of the surface sites. These problems are intrinsic to the use of a biosensor surface for characterizing interactions. The effect of these factors on the observed binding kinetics, and strategies to account for them are reviewed, both in the context of mathematical data analysis, as well as the design of the experiments and controls.

Influence of photodynamic effect on biological activity of PBR-PP complexes

The aim of this study was to examine the influence of photodynamic effect on biological activity of PBR-PP complexes. These measurements were performed in pH dependent environment. Constant concentration of solubilized receptor was titrated with increasing concentration of porphyrins (PPIX, Hp, PP(Arg)(2), Hp(Arg)(2), PP(Gly)(2), PP(Ala)(2), PP(Ser)(2), PP(Phe)(2)) and binding constants were calculated. PBP-PP mixtures were illuminated with 3 J, 5 J or 10 J of blue light and changes in protein fluorescence was recorded. Experimental data were fitted to weak and strong binding models. As a result for all derivatives weak binding model was the best fitted. The strongest binding showed PPIX in pH 7.4 and with pH drop binding constants showed greater values for all examined derivatives. Out of amino acid derivatives the strongest binding was noticed for PP(Gly)(2) and PP(Phe)(2) and for the last one pH influence was not observed.

Probing the functional heterogeneity of surface binding sites by analysis of experimental binding traces and the effect of mass transport limitation

Many techniques rely on the binding activity of surface-immobilized proteins, including antibody-based affinity biosensors for the detection of analytes, immunoassays, protein arrays, and surface plasmon resonance biosensors for the study of thermodynamic and kinetic aspects of protein interactions. To study the functional homogeneity of the surface sites and to characterize their binding properties, we have recently proposed a computational tool to determine the distribution of affinity and kinetic rate constants from surface binding progress curves. It is based on modeling the experimentally measured binding signal as a superposition of signals from binding to sites spanning a range of rate and equilibrium constants, with regularization providing the most parsimonious distribution consistent with the data. In the present work, we have expanded the scope of this approach to include a compartment-like transport step, which can describe competitive binding to different surface sites in a zone of depleted analyte close to the sensor surface. This approach addresses a major difficulty in the analysis of surface binding where both transport limitation as well as unknown surface site heterogeneity may be present. In addition to the kinetic binding parameters of the ensemble of surface sites, it can provide estimates for effective transport rate constants. Using antibody-antigen interactions as experimental model systems, we studied the effects of the immobilization matrix and of the analyte flow-rate on the effective transport rate constant. Both were experimentally observed to influence mass transport. The approximate description of mass transport by a compartment model becomes critical when applied to strongly transport-controlled data, and we examined the limitations of this model. In the presence of only moderate mass transport limitation the compartment model provides a good description, but this approximation breaks down for strongly transport-limited surface binding. In the latter regime, we report experimental evidence for the formation of gradients within the sensing volume of the evanescent field biosensor used.

Modeling micropatterned antigen–antibody binding kinetics in a microfluidic chip

The reaction kinetics of antigen-antibody binding in the electrokinetically controlled microfluidic heterogeneous immunoassays has been investigated by numerical simulations. A two-dimensional computational model was employed to include the mass transport (convection and diffusion) and binding reaction between the antigen in the bulk flow and the immobilized antibody at the channel surface. The influence of the bulk velocity, the concentrations of the antibody and antigen, and the geometry of the microchips was studied for a variation of conditions and the guidance for designing of microfluidic immunoassay was provided. The model also shows that electrokinetically driven immunoassays have better reaction kinetics than pressure-driven ones, resulting from the plug-like velocity profile. Finally, a multi-patch immunoassay chip was analyzed and the reaction kinetics was optimized by rearranging the reaction patches at the channel surfaces.

Surface-plasmon-resonance-based biosensor with immobilized bisubstrate analog inhibitor for the determination of affinities of ATP- and protein-competitive ligands of cAMP-dependent protein kinase

Interactions between adenosine-oligoarginine conjugates (ARC), bisubstrate analog inhibitors of protein kinases, and catalytic subunits of cAMP-dependent protein kinase (cAPK Calpha) were characterized with surface-plasmon-resonance-based biosensors. ARC-704 bound to the immobilized kinase with subnanomolar affinity. The immobilization of ARC-704 to the chip surface via streptavidin-biotin complex yielded a high-affinity surface (K(D)=16nM). The bisubstrate character of ARC-704 was demonstrated with various ligands targeted to ATP-binding pocket (ATP and inhibitors H89 and H1152P) and protein-substrate-binding domain of Calpha (RIIalpha and GST-PKIalpha) in competition assays. The experiments performed on surfaces with different immobilization levels of ARC-704 produced similar results. The closeness of the obtained affinities of the tested compounds to the inhibitory potencies and affinities of the compounds measured with other methods demonstrates the applicability of the chip with the immobilized biligand inhibitor for the characterization of both ATP- and substrate protein-competitive ligands of basophilic protein kinases.

New multi-step kinetics using common affinity biosensors saves time and sample at full access to kinetics and concentration

Today, affinity-based biosensorics is a standard technology in quantitative biomolecular interaction analysis, but suffers from low sample throughput and sometimes from inaccessible kinetics. A new methodology for such biosensors is introduced here that cuts down measurement time dramatically and increases confidentiality of results. In contrast to traditional applications, the ligand immobilized on the sensor chip is exposed to the binding analyte at a rapid stepwise change of the analyte concentration without the need for regenerations between analyte additions. In the application presented here, each addition of the analyte is succeeded by a buffer flow, yielding alternating association and dissociation phases in a "zigzag" style. This binding curve pattern is analyzed by means of novel fitting algorithms, which render detailed kinetics rate constants at a high level of self-consistency, and hence, validity due to multiple cross-checks. In comparison with traditional sequential kinetics analysis, this new multi-step kinetics approach returns practically identical (or improved) kinetics constants--at valuable savings in time/material since regeneration steps, ligand re-captures, or titration equilibrations are unnecessary.

Ligand rebinding: self-consistent mean-field theory and numerical simulations applied to surface plasmon resonance studies

Rebinding of dissociated ligands from cell surface proteins can confound quantitative measurements of dissociation rates important for characterizing the affinity of binding interactions. This can be true also for in vitro techniques such as surface plasmon resonance (SPR). We present experimental results using SPR for the interaction of insulin-like growth factor-I (IGF-I) with one of its binding proteins, IGF binding protein-3 (IGFBP-3), and show that the dissociation, even with the addition of soluble heparin in the dissociation phase, does not exhibit the expected exponential decay characteristic of a 1:1 binding reaction. We thus consider the effect of (multiple) rebinding events and, within a self-consistent mean-field approximation, we derive the complete mathematical form for the fraction of bound ligands as a function of time. We show that, except for very low association rate and surface coverage, this function is nonexponential at all times, indicating that multiple rebinding events strongly influence dissociation even at early times. We compare the mean-field results with numerical simulations and find good agreement, although deviations are measurable in certain cases. Our analysis of the IGF-I-IGFBP-3 data indicates that rebinding is prominent for this system and that the theoretical predictions fit the experimental data well. Our results provide a means for analyzing SPR biosensor data where rebinding is problematic and a methodology to do so is presented.

Determination of binding constants by affinity chromatography

This review summarizes developments in the use of affinity chromatography to characterize biospecific interactions in terms of reaction stoichiometry and equilibrium constant. In that regard, the biospecificity incorporated into the design of the experiment ensures applicability of the method regardless of the sizes of the reacting solutes. By the adoption of different experimental strategies (column chromatography, simple partition equilibrium, solid-phase immunoassay and biosensor technology protocols) quantitatiative affinity chromatography can be used to characterize interactions governed by an extremely broad range of binding affinities. In addition, the link between ligand-binding studies and quantitative affinity chromatography is illustrated by means of partition equilibrium studies of glycolytic enzyme interactions with muscle myofibrils, an exercise which emphasizes that the same theoretical expressions apply to naturally occurring examples of affinity chromatography in the cellular environment.

Oligonucleotide hybridization studied by a surface plasmon diffraction sensor (SPDS)

A novel label-free biosensor concept based on surface plasmon-enhanced diffraction by micro- patterned interfaces was applied to the study of hybridization reactions of target DNA oligonucleotides (15mers and 75mers) from solution to probe DNA oligonucleotides attached via streptavidin to the sensor surface. The self-referencing and quadratic signal amplification mechanism of the sensor allowed highly sensitive detection of the hybridization process. Association and dissociation processes of DNA targets could be recorded in real time and used for the quantification of their binding affinities, which differ considerably with a single base pair mismatch. An equilibrium titration approach was also applied in order to obtain the binding affinities for 15mer targets, yielding similar affinity values. The hybridization efficiencies were found to be higher for the 15mers than for the 75mers, although the latter contained the same recognition sequences. The hybridization efficiency was shown to depend on the probe density and reached nearly 100% for the 15mer fully complementary targets at a probe density of approximately 1.2 x 10(12) molecules/cm2. Using the assay as an end-point determination method, the lowest detectable coverage of a 15mer oligonucleotide was at least approximately 1.1 x 10(11) molecules/cm2. The diffraction sensing concept offers a completely novel way to integrate a reference channel in large-scale, label-free screening applications, to improve the stability and to enhance the sensitivity of microarray read-out systems.

Combined affinity and rate constant distributions of ligand populations from experimental surface binding kinetics and equilibria

The present article considers the influence of heterogeneity in a mobile analyte or in an immobilized ligand population on the surface binding kinetics and equilibrium isotherms. We describe strategies for solving the inverse problem of calculating two-dimensional distributions of rate and affinity constants from experimental data on surface binding kinetics, such as obtained from optical biosensors. Although the characterization of a heterogeneous population of analytes binding to uniform surface sites may be possible under suitable experimental conditions, computational difficulties currently limit this approach. In contrast, the case of uniform analytes binding to heterogeneous populations of surface sites is computationally feasible, and can be combined with Tikhonov-Phillips and maximum entropy regularization techniques that provide the simplest distribution that is consistent with the data. The properties of this ligand distribution analysis are explored with several experimental and simulated data sets. The resulting two-dimensional rate and affinity constant distributions can describe well experimental kinetic traces measured with optical biosensors. The use of kinetic surface binding data can give significantly higher resolution than affinity distributions from the binding isotherms alone. The shape and the level of detail of the calculated distributions depend on the experimental conditions, such as contact times and the concentration range of the analyte. Despite the flexibility introduced by considering surface site distributions, the impostor application of this model to surface binding data from transport limited binding processes or from analyte distributions can be identified by large residuals, if a sufficient range of analyte concentrations and contact times are used. The distribution analysis can provide a rational interpretation of complex experimental surface binding kinetics, and provides an analytical tool for probing the homogeneity of the populations of immobilized protein.

Microfluidic devices for fluidic circulation and mixing improve hybridization signal intensity on DNA arrays

Reactions of biomolecules with surface mounted materials on microscope slides are often limited by slow diffusion kinetics, especially in low volumes where diffusion is the only means of mixing. This is a particular problem for reactions where only small amounts of analyte are available and the required reaction volume limits the analyte concentration. A low volume microfluidic device consisting of two interconnected 9 mm x 37.5 mm reaction chambers was developed to allow mixing and closed loop fluidic circulation over most of the surface of a microscope slide. Fluid samples are moved from one reaction chamber to the other by the rotation of a magnetic stirring bar that is driven by a standard magnetic stirrer. We demonstrate that circulation and mixing of different reagents can be efficiently accomplished by this closed loop device with solutions varying in viscosity from 1 to 16.2 centipoise. We also show by example of a microarray hybridization that the reaction efficiency can be enhanced 2-5 fold through fluid mixing under conditions where diffusion is rate limiting. For comparison, similar results were achieved with a disposable commercial device that covers only half of the reaction area of the closed loop device.

Protein-protein interactions: mechanisms and modification by drugs

Protein-protein interactions form the proteinaceous network, which plays a central role in numerous processes in the cell. This review highlights the main structures, properties of contact surfaces, and forces involved in protein-protein interactions. The properties of protein contact surfaces depend on their functions. The characteristics of contact surfaces of short-lived protein complexes share some similarities with the active sites of enzymes. The contact surfaces of permanent complexes resemble domain contacts or the protein core. It is reasonable to consider protein-protein complex formation as a continuation of protein folding. The contact surfaces of the protein complexes have unique structure and properties, so they represent prospective targets for a new generation of drugs. During the last decade, numerous investigations have been undertaken to find or design small molecules that block protein dimerization or protein(peptide)-receptor interaction, or on the other hand, induce protein dimerization.

Three-dimensional microfluidic confinement for efficient sample delivery to biosensor surfaces. application to immunoassays on planar optical waveguides

A microchip-based flow confinement method for rapid delivery of small sample volumes to sensor surfaces is described. For flow confinement, a sample flow is joined with a perpendicular makeup flow of water or sample medium. Under laminar flow conditions, the makeup flow confines the sample into a thin layer above the sensing area and increases its velocity. This can benefit mass transport limited processes such as DNA hybridization or heterogeneous immunoassays. For proof of concept, this method was applied to a high-affinity immunoassay with excess capture antibody. Rabbit IgG was immobilized onto a silicon nitride waveguide. Cy5-labeled anti-rabbit IgG was hydrodynamically pumped over the immobilized zone through an attached 3D-PDMS flow cell with 20-microm-deep microchannels. The degree of confinement was adjusted through the volume flow rate of the confining flow. Evanescent field-based fluorescence detection enabled monitoring of the binding event. Assays were allowed to reach equilibrium to enable sensorgram normalization for inter-run comparison. The corresponding assay completion times could be reduced from 55 min for static drop conditions to 13 min for 25:1 flow confinement (ratio of confining to sample flow). For typical analytical applications, where equilibrium formation is not required, the faster response should translate to very short analysis times. Concurrently with the faster binding, sample consumption was reduced by 96% compared to conventional whole-channel sample delivery. Diffusional loss of analyte into the confining layer was identified as the main limitation of flow confinement, particularly for long sensing pads.

Quantitative affinity chromatography

The objective of this review is to summarize developments in the use of quantitative affinity chromatography to determine equilibrium constants for solute interactions of biological interest. Affinity chromatography is an extremely versatile method for characterizing interactions between dissimilar reactants because the biospecificity incorporated into the design of the affinity matrix ensures applicability of the method regardless of the relative sizes of the two reacting solutes. Adoption of different experimental strategies, such as column chromatography, simple partition equilibrium experiments, solid-phase immunoassay, and biosensor technology, has led to a situation whereby affinity chromatography affords a means of characterizing interactions governed by an extremely broad range of binding affinities--relatively weak interactions (binding constants below 10(3) M(-1)) through to interactions with binding constants in excess of 10(9) M(-1). In addition to its important role in solute separation and purification, affinity chromatography thus also possesses considerable potential for investigating the functional roles of the reactants thereby purified.

Use of surface plasmon resonance for real-time measurements of the global conformational transition in human phenylalanine hydroxylase in response to substrate binding and catalytic activation

In the present study the optical biosensor technique, based on the surface plasmon resonance (SPR) phenomenon, was used for real-time measurements of the reversible binding of the pterin cofactor (6R)-l-erythro-5,6,7,8-tetrahydrobiopterin (BH(4)) and l-phenylalanine (l-Phe) to human phenylalanine hydroxylase (hPAH). When BH(4) (241 Da) was injected over the sensor chip with immobilized tetrameric wt-hPAH a positive DeltaRU response was observed with a square-wave type of sensorgram and a saturable response (about 25 RU/(pmol subunit/mm(2)) with a [S](0.5) value of 5.6 +/- 0.8 microM for the pterin cofactor. The rapid on-and-off rates were, however, not possible to determine. By contrast, when l-Phe (165 Da) was injected a time-dependent increase in RU (up to about 3 min) and a much higher saturable DeltaRU response (about 75 RU/(pmol subunit/mm(2)) at 2 mM l-Phe) than expected (i.e., <5 RU/(pmol subunit/mm(2))) from the low molecular mass of l-Phe were observed in the sensorgram. The half-time for the on-and-off rates were 6 +/- 2 and 9 +/- 1 s, respectively, at 2 mM l-Phe. The steady-state (apparent equilibrium) response revealed a hyperbolic concentration dependence with a [S](0.5) value of 98 +/- 7 microM. The [S](0.5) values of both pterin cofactor and l-Phe were lower than those determined by steady-state enzyme kinetic analysis. Evidence is presented that the DeltaRU response to l-Phe is accounted for by the global conformational transition which occurs in the enzyme upon l-Phe binding, i.e., by the slow reversible transition from a low activity state ("T"-state) to a high activity state ("R"-state) characteristic of this hysteretic enzyme.

Adaptation of a surface plasmon resonance biosensor with microfluidics for use with small sample volumes and long contact times

The efficient delivery of sample to surface-immobilized sites is a key element in biosensing. For a surface plasmon resonance (SPR) biosensor, this has been addressed by constant flow through a microfluidic system with a sample injection loop (Sjölander, S.; Urbaniczky, C. Anal. Chem. 1991, 63, 2338-2345). The present study describes an alternative mode of sample delivery without constant unidirectional flow. It was implemented on a commercial Biacore X SPR biosensor equipped with a microfluidic cartridge, but with the fluidic handling performed by an externally computer-controlled syringe pump. We demonstrate that sample volumes as low as 2 microL can be reproducibly positioned to cover the sensor surfaces, manipulated in a serial fashion, efficiently mixed by applying an oscillatory flow pattern, and fully recovered. Compared to the traditional continuous unidirectional flow configuration, we found very similar kinetic responses at high analyte concentrations and slightly slower responses at low concentrations, most likely due to depletion of analyte from the small sample volumes due to surface binding. With the antibody-antigen systems tested, binding parameters were obtained that are generally within 10% of those from conventional experiments. In the new configuration, biosensor experiments can be conducted without the usual constraints in the surface contact time that are correlated with sample volume and mass transport rate. This can translate to improved detection limits for slow reactions and can facilitate kinetic and thermodynamic binding studies.

BIACORE data processing: an evaluation of the global fitting procedure

Data from real-time molecular interaction analysis using BIACORE are currently evaluated by numerical integration. We have investigated the ability of two software packages (BIAevaluation 3.0 and CLAMP99) to analyze complex interactions. Three experimental data sets of high quality obtained with BIACORE upgraded and 2000 instruments, representative of simple bimolecular, heterogeneous ligand, and mass-transport-limited interactions, were processed by the global fitting procedure. The two software, which differ mainly in the statistical assessment of the output values, were able to discriminate correctly between various interacting models and provided very close output parameters with satisfactory statistical tests.

Mutations of an epitope hot-spot residue alter rate limiting steps of antigen-antibody protein-protein associations

The antibodies, HyHEL-10 and HyHEL-26 (H10 and H26, respectively), share over 90% sequence homology and recognize with high affinity the same epitope on hen egg white lysozyme (HEL) but differ in degree of cross-reactivity with mutant lysozymes. The binding kinetics, as measured by BIAcore surface plasmon resonance, of monovalent Fab from both Abs (Fab10 and Fab26) to HEL and mutant lysozymes are best described by a two-step association model consistent with an encounter followed by docking that may include conformational changes. In their complexes with HEL, both Abs make the transition to the docked phase rapidly. For H10, the encounter step is rate limiting, whereas docking is also partially rate limiting for H26. The forward rate constants of H10 are higher than those of H26. The docking equilibrium as well as the overall equilibrium constant are also higher for H10 than for H26. Most of the free energy change of association (Delta G degrees) occurs during the encounter phase (Delta G1) of both Abs. H10 derives a greater amount and proportion of free energy change from the docking phase (Delta G2) than does H26. In the H10--HEL(R21Q) complex, a significant slowing of docking results in lowered affinity, a loss of most of Delta G2, and apparently faster dissociation. Slower encounter and docking cause lowered affinity and a loss of free energy change primarily in the encounter step (Delta G1) of H26 with mutant HEL(R21Q). Overall, in the process of complex formation with lysozyme, the mutations HEL(R21X) affect primarily the docking phase of H10 association and both phases of H26. Our results are consistent with the interpretation that the free energy barriers to conformational rearrangement are highest in H26, especially with mutant antigen.

Use of optical biosensors for the study of mechanistically concerted surface adsorption processes

The advent of commercial optical biosensors, such as the BIAcore from Pharmacia and IAsys from Affinity Sensors, has made available to the biochemist a powerful means to examine and characterize the interaction of biological macromolecules with a binding surface. By analysis of the kinetic and equilibrium aspects of the observed experimental adsorption isotherms, rate and affinity constants can be determined. This Review focuses on pertinent aspects of the technology and its use for the performance and quantitative characterization of some various types of mechanistically concerted adsorption behavior.

HLA-DM recognizes the flexible conformation of major histocompatibility complex class II

DM facilitates formation of high affinity complexes of peptide-major histocompatibility complex (MHC) by release of class II MHC-associated invariant chain peptide (CLIP). This has been proposed to occur through discrimination of complex stability. By probing kinetic and conformational intermediates of the wild-type and mutant human histocompatibility leukocyte antigen (HLA)-DR1-peptide complexes, and examining their reactivities with DM, we propose that DM interacts with the flexible hydrophobic pocket 1 of DR1 and converts the molecule into a conformation that is highly peptide receptive. A more rigid conformation, generated upon filling of pocket 1, is less susceptible to DM effects. Thus, DM edits peptide-MHC by recognition of the flexibility rather than stability of the complex.

Continuous flow displacement immunosensors: a computational study

Numerical modeling has been used to investigate the disparity in performance and sensitivity that has been reported for flow displacement immunosensors based on bead-packed columns, membranes, and capillary tubes. The simulations strongly suggest that the high surface areas in the porous media systems may actually be detrimental to sensor performance because of large numbers of free antibody binding sites. Since the free antibody sites are created during the wash step in which the baseline is established, wash protocols are critical in optimizing the sensitivity for a given displacement sensor.

Recent trends in protein biochip technology

This article presents current trends and advances in protein biochip technologies that rely upon extraction and retention of target proteins from liquid media. Analytical strengths as well as technical challenges for these evolving platforms are presented with particular emphasis on selectivity, sensitivity, throughput and utility in the post-genome era. A general review of protein biochip technology is provided, which delineates approaches for protein biochip format and operation, as well as protein detection. A focused discussion of three protein biochip technologies, Biomolecular Interaction Analysis (Biacore, Uppsala, Sweden), Surface Enhanced Laser Desorption/Ionisation (SELDI) ProteinChip Arrays (Ciphergen Biosystems, Fremont, CA, USA) and Fluorescent Planar Wave Guide (Zeptosens, Witterswil, Switzerland), follows along with examples of relevant applications.

From gel filtration to biosensor technology: the development of chromatography for the characterization of protein interactions

The objective of this review is to summarize the development of chromatographic techniques for the determination of reaction stoichiometries and equilibrium constants for solute interactions of biological importance. Gel chromatography is shown to offer a convenient means of characterizing solute self-association as well as solute-ligand interactions. Affinity chromatography is an even more versatile method of characterizing interactions between dissimilar reactants because the biospecificity incorporated into the design of the affinity matrix ensures applicability of the method regardless of the relative sizes of the two reactants. Adoption of different experimental strategies such as column chromatography, simple partition equilibrium experiments and biosensor technology has created a situation wherein affinity chromatography affords a means of characterizing the whole range of reaction affinities-from relatively weak interactions (binding constants less that 10(3)M (-1)) to tight interactions with binding constants greater than 10(9)M (-1). In addition to its established prowess as a means of solute separation and purification, chromatography thus also possesses considerable potential for investigation of the functional roles of the purified reactants-an endeavour that requires characterization as well as identification of the interactions responsible for a physiological phenomenon.

Analyte gradient-surface plasmon resonance: a one-step method for determining kinetic rates and macromolecular binding affinities

A novel one-step method for determining kinetic rates and equilibrium binding affinities, termed analyte gradient-surface plasmon resonance (AG-SPR) is described. A gradient maker or HPLC pump system is used to produce a gradient so that, under continuous-flow conditions, the concentration of analyte passing over the sensor surface increases linearly with time. The rate at which analyte binds to the immobilized receptors is measured by monitoring the change in the surface plasmon resonance minimum as the analyte concentration increases. Kinetic rates are determined by fitting the data to a modified version of the previously described two-compartment model (Schuck, P.; Minton, A. P. Anal. Biochem. 1996, 240, 262-272). Numerical simulations indicate that AG-SPR results in accurate estimates of both kinetic rates and equilibrium affinities regardless of the intrinsic kinetics of the interaction and can be used for systems under mass transport limitations. Simulations also indicate that AG-SPR can be used to characterize interactions that do not obey pseudo-first-order kinetics due to the presence of a heterogeneous receptor population. Experimentally, the interaction of cytochrome c with cytochrome b5 immobilized on a negatively charged monolayer has been characterized by AG-SPR, and both the specific and the nonspecific interactions were quantitatively analyzed. This new technique is advantageous over traditional SPR methods because it eliminates the need for surface regeneration and is significantly faster than traditional titration experiments.