Affinity analysis of non-steady-state data obtained under mass transport limited conditions using BIAcore technology

Structural characterization of transcription-coupled repair protein UVSSA and its interaction with TFIIH protein

UV-stimulated scaffold protein A (UVSSA) is a key protein in the Transcription-Coupled Nucleotide Excision Repair (TC-NER) pathway. UVSSA, an intrinsically disordered protein, interacts with multiple members of the pathway, tethering them into the complex. Several studies have reported that UVSSA recruits Transcription Factor IIH (TFIIH) via direct interaction, following which CSB is degraded and the lesion recognition TC-NER complex dissociates from the damage site to facilitate the DNA repair. Structural insights into these events remain largely unknown. Herein, we have investigated the interaction of human UVSSA with the Pleckstrin-Homology-domain of p62 subunit of TFIIH (p62-PHD) using biophysical techniques. We observed that UVSSA forms a stable complex with the p62-PHD in vitro. Small-angle scattering measurements using X-rays and neutrons revealed a significant change in pair-distance distribution function for UVSSA662/p62-PHD complex compared to UVSSA alone. Additionally, a significant decrease was observed in the radius of gyration of the complex. Our findings suggest that TFIIH binding to UVSSA causes significant conformational changes in UVSSA. We hypothesize that these conformational changes play an important role in the dissociation of the lesion recognition TC-NER complex.

TitrationAnalysis: a tool for high throughput binding kinetics data analysis for multiple label-free platforms

Label-free techniques including Surface Plasmon Resonance (SPR) and Biolayer Interferometry (BLI) are biophysical tools widely used to collect binding kinetics data of bimolecular interactions. To efficiently analyze SPR and BLI binding kinetics data, we have built a new high throughput analysis tool named the TitrationAnalysis. It can be used as a package in the Mathematica scripting environment and ultilize the non-linear curve-fitting module of Mathematica for its core function. This tool can fit the binding time course data and estimate association and dissociation rate constants ( k a and k d respectively) for determining apparent dissociation constant ( K D) values. The high throughput fitting process is automatic, requires minimal knowledge on Mathematica scripting and can be applied to data from multiple label-free platforms. We demonstrate that the TitrationAnalysis is optimal to analyze antibody-antigen binding data acquired on Biacore T200 (SPR), Carterra LSA (SPR imaging) and ForteBio Octet Red384 (BLI) platforms. The k a, k d and K D values derived using TitrationAnalysis very closely matched the results from the commercial analysis software provided specifically for these instruments. Additionally, the TitrationAnalysis tool generates user-directed customizable results output that can be readily used in downstream Data Quality Control associated with Good Clinical Laboratory Practice operations. With the versatility in source of data input source and options of analysis result output, the TitrationAnalysis high throughput analysis tool offers investigators a powerful alternative in biomolecular interaction characterization.

Computational modeling of microfluidic data provides high-throughput affinity estimates for monoclonal antibodies

Affinity measurement is a fundamental step in the discovery of monoclonal antibodies (mAbs) and of antigens suitable for vaccine development. Innovative affinity assays are needed due to the low throughput and/or limited dynamic range of available technologies. We combined microfluidic technology with quantum-mechanical scattering theory, in order to develop a high-throughput, broad-range methodology to measure affinity. Fluorescence intensity profiles were generated for out-of-equilibrium solutions of labelled mAbs and their antigen-binding fragments migrating along micro-columns with immobilized cognate antigen. Affinity quantification was performed by computational data analysis based on the Landau probability distribution. Experiments using a wide array of human or murine antibodies against bacterial or viral, protein or polysaccharide antigens, showed that all the antibody-antigen capture profiles (n = 841) generated at different concentrations were accurately described by the Landau distribution. A scale parameter W, proportional to the full-width-at-half-maximum of the capture profile, was shown to be independent of the antibody concentration. The W parameter correlated significantly (Pearson's r [p-value]: 0.89 [3 × 10-8]) with the equilibrium dissociation constant KD, a gold-standard affinity measure. Our method showed good intermediate precision (median coefficient of variation: 5%) and a dynamic range corresponding to KD values spanning from ~10-7 to ~10-11 Molar. Relative to assays relying on antibody-antigen equilibrium in solution, even when they are microfluidic-based, the method's turnaround times were decreased from 2 days to 2 h. The described computational modelling of antibody capture profiles represents a fast, reproducible, high-throughput methodology to accurately measure a broad range of antibody affinities in very low volumes of solution.

Quantifying the Affinity of Trypanosoma cruzi RPA-1 to the Single-Stranded DNA Overhang of the Telomere Using Surface Plasmon Resonance

Surface plasmon resonance (SPR) biosensors provide real-time binding affinity measurements between a pair of biomolecules, characterizing its interaction dynamics. An example of Trypanosoma cruzi's RPA-1 and a single-stranded DNA telomere sequence is presented with detailed guidelines and fundamentals for SPR technology.

The Convergence of Cell-Based Surface Plasmon Resonance and Biomaterials: The Future of Quantifying Bio-molecular Interactions-A Review

Cell biology is driven by complex networks of biomolecular interactions. Characterizing the kinetic and thermodynamic properties of these interactions is crucial to understanding their role in different physiological processes. Surface plasmon resonance (SPR)-based approaches have become a key tool in quantifying biomolecular interactions, however conventional approaches require isolating the interacting components from the cellular system. Cell-based SPR approaches have recently emerged, promising to enable precise measurements of biomolecular interactions within their normal biological context. Two major approaches have been developed, offering their own advantages and limitations. These approaches currently lack a systematic exploration of 'best practices' like those existing for traditional SPR experiments. Toward this end, we describe the two major approaches, and identify the experimental parameters that require exploration, and discuss the experimental considerations constraining the optimization of each. In particular, we discuss the requirements of future biomaterial development needed to advance the cell-based SPR technique.

Biosensor-Surface Plasmon Resonance: Label-Free Method for Investigation of Small Molecule-Quadruplex Nucleic Acid Interactions

Biosensor-surface plasmon resonance (SPR) technology is now well established as a quantitative approach for the study of nucleic acid interactions in real time, without the need for labeling any components of the interaction. The method provides real-time equilibrium and kinetic characterization for quadruplex DNA interactions and requires small amounts of materials and no external probe. A detailed protocol for quadruplex-DNA interaction analyses with a variety of binding molecules using biosensor-SPR methods is presented. Explanations of the SPR method with basic fundamentals for use and analysis of results are described with recommendations on the preparation of the SPR instrument, sensor chips, and samples. Details of experimental design, quantitative and qualitative data analyses, and presentation are described. Some specific examples of small molecule-DNA quadruplex interactions are presented with results evaluated by both kinetic and steady-state SPR methods.

Biosensor-surface plasmon resonance: A strategy to help establish a new generation RNA-specific small molecules

Biosensor surface plasmon resonance (SPR) is a highly sensitive technique and is most commonly used to decipher the interactions of biological systems including proteins and nucleic acids. Throughout the years, there have been significant efforts to develop SPR assays for studying protein-protein interactions, protein-DNA interactions, as well as small molecules to target DNAs that are of therapeutic interest. With the explosion of discovery of new RNA structures and functions, it is time to review the applications of SPR to RNA interaction studies, which have actually extended over a long time period. The primary advantage of SPR is its ability to measure affinities and kinetics in real time, along with being a label-free technique and utilizing relatively small quantities of materials. Recently, developments that use SPR to analyze the interactions of different RNA sequences with proteins and small molecules demonstrate the versatility of SPR as a powerful method in the analysis of the structure-function relationships, not only for biological macromolecules but also for potential drug candidates. This chapter will guide the reader through some background material followed by an extensive assay development to dissect the interactions of small molecules and RNA sequences using SPR as the critical method. The protocol includes (i) fundamental concepts of SPR, (ii) experimental design and execution, (iii) the immobilization of RNA using the streptavidin-biotin capturing method, and (iv) affinities and kinetics analyses of the interactions using specific example samples. The chapter also contains useful notes to address situations that might arise during the process. This assay demonstrates SPR as a valuable quantitative method used in the search for potential therapeutic agents that selectively target RNA.

The KN-93 Molecule Inhibits Calcium/Calmodulin-Dependent Protein Kinase II (CaMKII) Activity by Binding to Ca2+/CaM

Calcium/calmodulin-dependent protein kinase II (CaMKII) is a multifunctional serine/threonine protein kinase that transmits calcium signals in various cellular processes. CaMKII is activated by calcium-bound calmodulin (Ca²⁺/CaM) through a direct binding mechanism involving a regulatory C-terminal α-helix in CaMKII. The Ca²⁺/CaM binding triggers transphosphorylation of critical threonine residues proximal to the CaM-binding site leading to the autoactivated state of CaMKII. The demonstration of its critical roles in pathophysiological processes has elevated CaMKII to a key target in the management of numerous diseases. The molecule KN-93 is the most widely used inhibitor for studying the cellular and in vivo functions of CaMKII. It is widely believed that KN-93 binds directly to CaMKII, thus preventing kinase activation by competing with Ca²⁺/CaM. Herein, we employed surface plasmon resonance, NMR, and isothermal titration calorimetry to characterize this presumed interaction. Our results revealed that KN-93 binds directly to Ca²⁺/CaM and not to CaMKII. This binding would disrupt the ability of Ca²⁺/CaM to interact with CaMKII, effectively inhibiting CaMKII activation. Our findings also indicated that KN-93 can specifically compete with a CaMKIIδ-derived peptide for binding to Ca²⁺/CaM. As indicated by the surface plasmon resonance and isothermal titration calorimetry data, apparently at least two KN-93 molecules can bind to Ca²⁺/CaM. Our findings provide new insight into how in vitro and in vivo data obtained with KN-93 should be interpreted. They further suggest that other Ca²⁺/CaM-dependent, non-CaMKII activities should be considered in KN-93-based mechanism-of-action studies and drug discovery efforts.

Measuring Antibody-Antigen Binding Kinetics Using Surface Plasmon Resonance

Surface plasmon resonance (SPR) is now widely embraced as a technology for monitoring a diverse range of protein-protein interactions and is considered almost de rigueur for characterizing antibody-antigen interactions. The technique obviates the need to label either of the interacting species, and the binding event is visualized in real time. Thus, it is ideally suited for screening crude, unpurified antibody samples that dominate early candidate panels following antibody selection campaigns. SPR returns not only concentration and affinity data but when used correctly can resolve the discrete component kinetic parameters (association and dissociation rate constants) of the affinity interaction. Herein, we outline some SPR-based generic antibody screening configurations and methodologies in the context of expediting data-rich ranking of candidate antibody panels and ensuring that antibodies with the optimal kinetic binding characteristics are reliably identified.

Kinetic Analysis and Epitope Binning Using Surface Plasmon Resonance

The ability to quantify binding affinity of molecular interactions is an essential component of drug development and life science research. This chapter outlines the practical use of surface plasmon resonance spectroscopy to monitor protein-protein interactions with an emphasis on basic experimental design. A short summary of epitope binning assays is also included.

Discovery of High-Affinity PDGF-VEGFR Interactions: Redefining RTK Dynamics

Nearly all studies of angiogenesis have focused on uni-family ligand-receptor binding, e.g., VEGFs bind to VEGF receptors, PDGFs bind to PDGF receptors, etc. The discovery of VEGF-PDGFRs binding challenges this paradigm and calls for investigation of other ligand-receptor binding possibilities. We utilized surface plasmon resonance to identify and measure PDGF-to-VEGFR binding rates, establishing cut-offs for binding and non-binding interactions. We quantified the kinetics of the recent VEGF-A:PDGFRβ interaction for the first time with K_D = 340 pM. We discovered new PDGF:VEGFR2 interactions with PDGF-AA:R2 K_D = 530 nM, PDGF-AB:R2 K_D = 110 pM, PDGF-BB:R2 K_D = 40 nM, and PDGF-CC:R2 K_D = 70 pM. We computationally predict that cross-family PDGF binding could contribute up to 96% of VEGFR2 ligation in healthy conditions and in cancer. Together the identification, quantification, and simulation of these novel cross-family interactions posits new mechanisms for understanding anti-angiogenic drug resistance and presents an expanded role of growth factor signaling with significance in health and disease.

Synthesis, Chemical Characterization and Multiscale Biological Evaluation of a Dimeric-cRGD Peptide for Targeted Imaging of α V β 3 Integrin Activity

Cyclic peptides containing the Arg-Gly-Asp (RGD) sequence have been shown to specifically bind the angiogenesis biomarker α_Vβ₃ integrin. We report the synthesis, chemical characterization, and biological evaluation of two novel dimeric cyclic RGD-based molecular probes for the targeted imaging of α_Vβ₃ activity (a radiolabeled version, ⁶⁴Cu-NOTA-PEG₄-cRGD₂, for PET imaging, and a fluorescent version, FITC-PEG₄-cRGD₂, for in vitro work). We investigated the performance of this probe at the receptor, cell, organ, and whole-body levels, including its use to detect diabetes associated impairment of ischemia-induced myocardial angiogenesis. Both versions of the probe were found to be stable, demonstrated fast receptor association constants, and showed high specificity for α_Vβ₃ in HUVECs (K_d ~ 35 nM). Dynamic PET-CT imaging indicated rapid blood clearance via kidney filtration, and accumulation within α_Vβ₃-positive infarcted myocardium. ⁶⁴Cu-NOTA-PEG₄-cRGD₂ demonstrated a favorable biodistribution, slow washout, and excellent performance with respect to the quality of the PET-CT images obtained. Importantly, the ratio of probe uptake in infarcted heart tissue compared to normal tissue was significantly higher in non-diabetic rats than in diabetic ones. Overall, our probes are promising agents for non-invasive quantitative imaging of α_Vβ₃ expression, both in vitro and in vivo.

Biophysical analysis of the dynamics of calmodulin interactions with neurogranin and Ca2+ /calmodulin-dependent kinase II

Calmodulin (CaM) functions depend on interactions with CaM‐binding proteins, regulated by Ca2+. Induced structural changes influence the affinity, kinetics, and specificities of the interactions. The dynamics of CaM interactions with neurogranin (Ng) and the CaM‐binding region of Ca2+/calmodulin‐dependent kinase II (CaMKII_290−309) have been studied using biophysical methods. These proteins have opposite Ca2+ dependencies for CaM binding. Surface plasmon resonance biosensor analysis confirmed that Ca2+ and CaM interact very rapidly, and with moderate affinity ( KDSPR=3μM). Calmodulin‐CaMKII_290−309 interactions were only detected in the presence of Ca2+, exhibiting fast kinetics and nanomolar affinity ( KDSPR=7.1nM). The CaM–Ng interaction had higher affinity under Ca2+‐depleted ( KDSPR=480nM,k1=3.4×105M−1s−1 and k₋₁ = 1.6 × 10⁻¹s⁻¹) than Ca2+‐saturated conditions ( KDSPR=19μM). The IQ motif of Ng (Ng₂₇₋₅₀) had similar affinity for CaM as Ng under Ca2+‐saturated conditions ( KDSPR=14μM), but no interaction was seen under Ca2+‐depleted conditions. Microscale thermophoresis using fluorescently labeled CaM confirmed the surface plasmon resonance results qualitatively, but estimated lower affinities for the Ng ( KDMST=890nM) and CaMKII_290−309( KDMST=190nM) interactions. Although CaMKII_290−309 showed expected interaction characteristics, they may be different for full‐length CaMKII. The data for full‐length Ng, but not Ng₂₇₋₅₀, agree with the current model on Ng regulation of Ca2+/CaM signaling.

Kinetically Selective Inhibitors of Human Carbonic Anhydrase Isozymes I, II, VII, IX, XII, and XIII

To get a better understanding of the possibility of developing selective carbonic anhydrase (CA) inhibitors, interactions between 17 benzenesulphonamide ligands and 6 human CAs (full-length CA I, II, VII, and XIII and catalytic domains of CA IX and XII) were characterized using surface plasmon resonance and fluorescent-based thermal shift assays. Kinetics revealed that the strongest binders had subnanomolar affinities with low dissociation rates (i.e., kd values around 1 × 10(-3) s(-1)) or were essentially irreversible. Chemodynamic analysis of the interactions highlighted an intrinsic mechanism of the CA-sulphonamide interaction kinetics and showed that slow dissociation rates were mediated by large hydrophobic contacts. The studied inhibitors demonstrated a high cross-reactivity within the protein family. However, according to chemical phylogenetic analysis developed for kinetic data, several ligands were found to be selective against certain CA isozymes, indicating that it should be possible to develop selective CA inhibitors suitable for clinical use.

Surface Plasmon Resonance Analysis of Heparin-Binding Angiogenic Growth Factors

Surface plasmon resonance (SPR) is an optical technique to evaluate biomolecular interactions. Briefly, SPR measures the capacity of two molecules to bind each other by detecting reflected light from a prism-gold film interface. One of the two putative interactants (called ligand) is chemically immobilized onto the gold film. When the sensor is exposed to a sample containing the second interactant (called analyte), its binding to the immobilized ligand causes a change of the refractive index of the material above the gold surface that is monitored as a real-time graph of the response units against time, producing a real-time graph called sensorgram. SPR has become a golden standard technology for label-free, real-time interaction analysis in basic research and drug discovery in a wide array of biomedical areas, including oncology and virology [1, 2]. Here we describe the exploitation of SPR for the study of the capacity of the pro-oncogenic, pro-angiogenic HIV-1 p17 matrix protein [3, 4] to bind to heparin, a structural analog of heparan sulfate proteoglycans (HSPGs) receptors, and for the identification of novel HSPGs-antagonists to be used as anti-p17 drugs.

Bayesian Estimation of the Active Concentration and Affinity Constants Using Surface Plasmon Resonance Technology

Surface plasmon resonance (SPR) has previously been employed to measure the active concentration of analyte in addition to the kinetic rate constants in molecular binding reactions. Those approaches, however, have a few restrictions. In this work, a Bayesian approach is developed to determine both active concentration and affinity constants using SPR technology. With the appropriate prior probabilities on the parameters and a derived likelihood function, a Markov Chain Monte Carlo (MCMC) algorithm is applied to compute the posterior probability densities of both the active concentration and kinetic rate constants based on the collected SPR data. Compared with previous approaches, ours exploits information from the duration of the process in its entirety, including both association and dissociation phases, under partial mass transport conditions; do not depend on calibration data; multiple injections of analyte at varying flow rates are not necessary. Finally the method is validated by analyzing both simulated and experimental datasets. A software package implementing our approach is developed with a user-friendly interface and made freely available.

Modulation of DNA-polyamide interaction by β-alanine substitutions: a study of positional effects on binding affinity, kinetics and thermodynamics

Hairpin polyamides (PAs) are an important class of sequence-specific DNA minor groove binders, and frequently employ a flexible motif, β-alanine (β), to reduce the molecular rigidity to maintain the DNA recognition register. To better understand the diverse effects that β can have on DNA-PA binding affinity, selectivity, and especially kinetics, which have rarely been reported, we have initiated a detailed study for an eight-heterocyclic hairpin PA and its β derivatives with their cognate and mutant sequences. With these derivatives, all internal pyrroles of the parent PA are systematically substituted with single or double βs. A set of complementary experiments have been conducted to evaluate the molecular interactions in detail: UV-melting, biosensor-surface plasmon resonance, circular dichroism and isothermal titration calorimetry. The β substitutions generally weaken the binding affinities of these PAs with cognate DNA, and have large and diverse influences on PA binding kinetics in a position- and number-dependent manner. The DNA base mutations have also shown positional effects on the binding of a single PA. Besides the β substitutions, the monocationic Dp group [3-(dimethylamino)propylamine] in parent PA has been modified into a dicationic Ta group (3,3'-diamino-N-methyldipropylamine) to minimize the frequently observed PA aggregation with ITC experiments. The results clearly show that the Ta modification not only maintains the DNA binding mode and affinity of PA, but also significantly reduces PA aggregation and allows the complete thermodynamic signature of eight-ring hairpin PA to be determined for the first time. This combined set of results significantly extends our understanding of the energetic basis of specific DNA recognition by PAs.

Structural, biochemical, and biophysical characterization of idelalisib binding to phosphoinositide 3-kinase δ

Idelalisib (also known as GS-1101, CAL-101, IC489666, and Zydelig) is a PI3Kδ inhibitor that has recently been approved for the treatment of several hematological malignancies. Given its use in human diseases, we needed a clear picture of how idelalisib binds to and inhibits PI3Kδ. Our data show that idelalisib is a potent and selective inhibitor of the kinase activity of PI3Kδ. A kinetic characterization clearly demonstrated ATP-competitive inhibition, and several additional biochemical and biophysical assays showed that the compound binds reversibly and noncovalently to the kinase. A crystal structure of idelalisib bound to the p110δ subunit of PI3Kδ furthers our understanding of the binding interactions that confer the potency and selectivity of idelalisib.

Quantitative Investigation of Protein-Nucleic Acid Interactions by Biosensor Surface Plasmon Resonance

Biosensor-surface plasmon resonance (SPR) technology has emerged as a powerful label-free approach for the study of nucleic acid interactions in real time. The method provides simultaneous equilibrium and kinetic characterization for biomolecular interactions with low sample requirements and without the need for external probes. A detailed and practical guide for protein-DNA interaction analyses using biosensor-SPR methods is presented. Details of SPR technology and basic fundamentals are described with recommendations on the preparation of the SPR instrument, sensor chips and samples, experimental design, quantitative and qualitative data analyses and presentation. A specific example of the interaction of a transcription factor with DNA is provided with results evaluated by both kinetic and steady-state SPR methods.

Protein-responsive ribozyme switches in eukaryotic cells

Genetic devices that directly detect and respond to intracellular concentrations of proteins are important synthetic biology tools, supporting the design of biological systems that target, respond to or alter specific cellular states. Here, we develop ribozyme-based devices that respond to protein ligands in two eukaryotic hosts, yeast and mammalian cells, to regulate the expression of a gene of interest. Our devices allow for both gene-ON and gene-OFF response upon sensing the protein ligand. As part of our design process, we describe an in vitro characterization pipeline for prescreening device designs to identify promising candidates for in vivo testing. The in vivo gene-regulatory activities in the two types of eukaryotic cells correlate with in vitro cleavage activities determined at different physiologically relevant magnesium concentrations. Finally, localization studies with the ligand demonstrate that ribozyme switches respond to ligands present in the nucleus and/or cytoplasm, providing new insight into their mechanism of action. By extending the sensing capabilities of this important class of gene-regulatory device, our work supports the implementation of ribozyme-based devices in applications requiring the detection of protein biomarkers.

How does association process affect fibrinogen hydrolysis by thrombin?

Thrombin, a key enzyme in the blood coagulation cascade, hydrolyzes fibrinogen into fibrin, which specifically associates into the fibers that build up a thrombus scaffold. The assembly of fibrin involves a set of stepwise reactions, for which a complete and detailed kinetic portrait is needed. Existing kinetic models focus on particular parts of the process, for example the mechanism of enzyme action itself or the kinetics of formation of fibrin assemblies. The current study considers a thorough model of the process from fibrinogen hydrolysis to the assembly of fibrin. Composing the model requires taking into account several reaction intermediates, stepwise removal of fibrinopeptides, and association of partially hydrolyzed fibrin, in particular desAA fibrin. The model is versatile enough to adopt new data both on fibrinogen hydrolysis and fibrin association. In addition, the model could be considered as an example of a kinetic description of other complex enzyme systems having several intermediates and feedbacks, such as the blood coagulation cascade and signal transduction.

Probing the electrostatics and pharmacological modulation of sequence-specific binding by the DNA-binding domain of the ETS family transcription factor PU.1: a binding affinity and kinetics investigation

Members of the ETS family of transcription factors regulate a functionally diverse array of genes. All ETS proteins share a structurally conserved but sequence-divergent DNA-binding domain, known as the ETS domain. Although the structure and thermodynamics of the ETS-DNA complexes are well known, little is known about the kinetics of sequence recognition, a facet that offers potential insight into its molecular mechanism. We have characterized DNA binding by the ETS domain of PU.1 by biosensor-surface plasmon resonance (SPR). SPR analysis revealed a striking kinetic profile for DNA binding by the PU.1 ETS domain. At low salt concentrations, it binds high-affinity cognate DNA with a very slow association rate constant (≤10(5)M(-)(1)s(-)(1)), compensated by a correspondingly small dissociation rate constant. The kinetics are strongly salt dependent but mutually balance to produce a relatively weak dependence in the equilibrium constant. This profile contrasts sharply with reported data for other ETS domains (e.g., Ets-1, TEL) for which high-affinity binding is driven by rapid association (>10(7)M(-)(1)s(-)(1)). We interpret this difference in terms of the hydration properties of ETS-DNA binding and propose that at least two mechanisms of sequence recognition are employed by this family of DNA-binding domain. Additionally, we use SPR to demonstrate the potential for pharmacological inhibition of sequence-specific ETS-DNA binding, using the minor groove-binding distamycin as a model compound. Our work establishes SPR as a valuable technique for extending our understanding of the molecular mechanisms of ETS-DNA interactions as well as developing potential small-molecule agents for biotechnological and therapeutic purposes.

Kinetic and mechanistic differences in the interactions between caldendrin and calmodulin with AKAP79 suggest different roles in synaptic function

The kinetic and mechanistic details of the interaction between caldendrin, calmodulin and the B-domain of AKAP79 were determined using a biosensor-based approach. Caldendrin was found to compete with calmodulin for binding at AKAP79, indicating overlapping binding sites. Although the AKAP79 affinities were similar for caldendrin (K(D) = 20 nM) and calmodulin (K(D) = 30 nM), their interaction characteristics were different. The calmodulin interaction was well described by a reversible one-step model, but was only detected in the presence of Ca(2+). Caldendrin interacted with a higher level of complexity, deduced to be an induced fit mechanism with a slow relaxation back to the initial encounter complex. It interacted with AKAP79 also in the absence of Ca(2+), but with different kinetic rate constants. The data are consistent with a similar initial Ca(2+)-dependent binding step for the two proteins. For caldendrin, a second Ca(2+)-independent rearrangement step follows, resulting in a stable complex. The study shows the importance of establishing the mechanism and kinetics of protein-protein interactions and that minor differences in the interaction of two homologous proteins can have major implications in their functional characteristics. These results are important for the further elucidation of the roles of caldendrin and calmodulin in synaptic function.

Identification of structural-kinetic and structural-thermodynamic relationships for thrombin inhibitors

To improve our understanding of drug-target interactions, we explored the effect of introducing substituted amine residues with increased chain length in the P3 residue of the thrombin inhibitor melagatran. Inhibition, kinetic, and thermodynamic data obtained via stopped-flow spectroscopy (SF), isothermal microcalorimetry (ITC), and surface plasmon resonance (SPR) biosensor analysis were interpreted with the help of X-ray crystal structures of the enzyme-inhibitor complexes. The association rate became faster when the lipophilicity of the inhibitors was increased. This was coupled to an increased enthalpic component and a corresponding decreased entropic component. The dissociation rates were reduced with an increase in chain length, with only a smaller increase and a decrease in the enthalpic and entropic components, respectively. Overall, the affinity increased with an increase in chain length, with similar changes in the enthalpic and entropic components. ITC analysis confirmed the equilibrium data from SPR analysis, showing that the interaction of melagatran was the most enthalpy-driven interaction. Structural analysis of the thrombin-inhibitor complex showed that the orientation of the P1 and P2 parts of the molecules was very similar, but that there were significant differences in the interaction between the terminal part of the P3 side chain and the binding pocket. A combination of charge repulsion, H-bonds, and hydrophobic interactions could be used to explain the observed kinetic and thermodynamic profiles for the ligands. In conclusion, changes in the structure of a lead compound can have significant effects on its interaction with the target that translate directly into kinetic and thermodynamic effects. In contrast to what may be intuitively expected, hydrogen bond formation and breakage are not necessarily reflected in enthalpy gains and losses, respectively.

Correlation of local effects of DNA sequence and position of β-alanine inserts with polyamide-DNA complex binding affinities and kinetics

To improve our understanding of the effects of β-alanine (β) substitution and the number of heterocycles on DNA binding affinity and selectivity, we investigated the interactions of an eight-ring hairpin polyamide (PA) and two β derivatives as well as a six-heterocycle analogue with their cognate DNA sequence, 5'-TGGCTT-3'. Binding selectivity and the effects of β have been investigated with the cognate and five mutant DNAs. A set of powerful and complementary methods have been employed for both energetic and structural evaluations: UV melting, biosensor surface plasmon resonance, isothermal titration calorimetry, circular dichroism, and a DNA ligation ladder global structure assay. The reduced number of heterocycles in the six-ring PA weakens the binding affinity; however, the smaller PA aggregates significantly less than the larger PAs and allows us to obtain the binding thermodynamics. The PA-DNA binding enthalpy is large and negative with a large negative ΔC(p) and is the primary driving component of the Gibbs free energy. The complete SPR binding results clearly show that β substitutions can substantially weaken the binding affinity of hairpin PAs in a position-dependent manner. More importantly, the changes in the binding of PA to the mutant DNAs further confirm the position-dependent effects on the PA-DNA interaction affinity. Comparison of mutant DNA sequences also shows a different effect in recognition of T·A versus A·T base pairs. The effects of DNA mutations on binding of a single PA as well as the effects of the position of β substitution on binding tell a clear and very important story about sequence-dependent binding of PAs to DNA.

Glycopolymer brushes for the affinity adsorption of RCA120: effects of thickness, grafting density, and epitope density

The interactions between glycopolymer brushes and lectin are very important for the development of affinity membrane chromatography in protein separation. Here, we report the combination of surface-initiated atom transfer radical polymerization (SI-ATRP) and surface plasmon resonance (SPR) to investigate the relationship between the structure of glycopolymer brushes and the affinity adsorption of lectin. The glycopolymer brushes were fabricated from self-assembly of 11-mercapto-1-undecanol (MUD)/1-undecanethiol (UDT) mixture, immobilization of ATRP initiators, and then SI-ATRP of 2-lactobionamidoethyl methacrylate (LAMA). Brush thickness and grafting density were adjusted by controlling polymerization time and thiol ratio in MUD/UDT mixture, respectively. Sugar epitope density was also controlled through copolymerization of 2-hydroxylethyl methacrylate (HEMA) with LAMA. Ricinus communis agglutinin (RCA(120)), one kind of lectin that can bind galactose specifically, was chosen to study the effects of brush architectures on lectin adsorption. SPR results indicate not only the thickness but also the grafting density and the epitope density of glycopolymer brushes can achieve the best performance of sugar cluster effect in affinity adsorption of lectin. In addition, the mass transport effect is crucial in the adsorption process. We propose that it is important to keep the balance between the sugar cluster effect and the mass transport effect in the preparation of high-performance affinity membrane chromatography.

Nonlinear analyte concentration gradients for one-step kinetic analysis employing optical microring resonators

Conventional methods to probe the binding kinetics of macromolecules at biosensor surfaces employ a stepwise titration of analyte concentrations and measure the association and dissociation to the immobilized ligand at each concentration level. It has previously been shown that kinetic rates can be measured in a single step by monitoring binding as the analyte concentration increases over time in a linear gradient. We report here the application of nonlinear analyte concentration gradients for determining kinetic rates and equilibrium binding affinities in a single experiment. A versatile nonlinear gradient maker is presented, which is easily applied to microfluidic systems. Simulations validate that accurate kinetic rates can be extracted for a wide range of association and dissociation rates, gradient slopes, and curvatures, and with models for mass transport. The nonlinear analyte gradient method is demonstrated with a silicon photonic microring resonator platform to measure prostate specific antigen-antibody binding kinetics.

Microscopic rearrangement of bound minor groove binders detected by NMR

Thermodynamic and structural studies are commonly utilized to optimize small molecules for specific DNA interactions, and, thus, a significant amount of binding data is available. However, the dynamic processes that are involved in minor groove complex formation and maintenance are not fully understood. To help define the processes involved, we have conducted 1D and 2D NMR in conjunction with biosensor-SPR experiments with a variety of compounds and symmetric, as well as asymmetric, AT tract DNA sequences. Surprisingly, the NMR data clearly show exchange between equivalent binding sites for strongly binding compounds like netropsin and DB921 (Ka > 10(8) M(-1)) that does not involve dissociation off the DNA. A quantitative analysis of the data revealed that these bound exchange rates are indeed much faster than the macroscopic dissociation rates which were independently determined by biosensor-SPR. Additionally, we could show the existence of at least two 1:1 compound DNA complexes at the same site for the interaction of these compounds with an asymmetric DNA sequence. To explain this behavior we introduced a model in which the ligand is rapidly flipping between two orientations while in close association with the DNA. The ligand reorientation will contribute favorably to the binding entropy. As the potential of minor groove binders to form more than a single complex with asymmetric, as well as symmetric, duplexes is widely unknown, the consequences for binding thermodynamics and compound design are discussed.

Measuring antibody-antigen binding kinetics using surface plasmon resonance

Surface plasmon resonance (SPR) is now widely embraced as a technology for monitoring a diverse range of protein-protein interactions and is considered almost de rigueur for characterizing antibody-antigen interactions. The technique obviates the need to label either of the interacting species and the binding event is visualized in real-time. Thus, it is ideally suited for screening crude, unpurified antibody samples that dominate early candidate panels following antibody selection campaigns. SPR returns both concentration and affinity data but when used correctly can also resolve the discrete component kinetic parameters (association and dissociation rate constants) of the affinity interaction. Herein, we outline some SPR-based generic antibody screening configurations and methodologies in the context of expediting data-rich ranking of candidate antibody panels and ensuring that antibodies with the optimal kinetic binding characteristics are reliably identified.

A quantitative LC-MS/MS method for comparative analysis of capture-antibody affinity toward protein antigens

A mass spectrometry-based antibody selection procedure was developed to evaluate optimal 'capture' monoclonal antibodies that can be used in a variety of analytical measurement applications. The isotope-dilution liquid chromatography-tandem mass spectrometry (ID LC-MS/MS) methodology is based on the use of multiple-reaction monitoring of tryptic peptide fragments derived from protein antigens. A panel of monoclonal antibodies (mAb) was evaluated based on a quantitative determination of relative binding affinity to human cardiac troponin I following immunoprecipitation. Dissociation constants (K(d)) were determined for 'bound mAb-antigen' vs. 'unbound antigen' using non-linear regression analysis. Relative quantification of both antigen and antibody was based on the use of stable isotope-labeled synthetic peptides as internal standards. Optimal 'capture' mAbs were determined through evaluation of relative K(d) constants of all monitored peptide transitions. A panel of six pre-screened candidate capture mAbs was concluded to consist of two subsets of mAbs, each with statistically equivalent K(d) constants as determined using NIST Standard Reference Material (SRM) 2921 - Human Cardiac Troponin Complex. This ID LC-MS/MS method is shown to be capable of quantitatively differentiating mAbs based on relative binding affinities. Selection of optimal capture mAbs can be applied toward a number of analytical applications which require metrological traceability and unbiased quantification.

Review of transducer principles for label-free biomolecular interaction analysis

Label-free biomolecular interaction analysis is an important technique to study the chemical binding between e.g., protein and protein or protein and small molecule in real-time. The parameters obtained with this technique, such as the affinity, are important for drug development. While the surface plasmon resonance (SPR) instruments are most widely used, new types of sensors are emerging. These developments are generally driven by the need for higher throughput, lower sample consumption or by the need of complimentary information to the SPR data. This review aims to give an overview about a wide range of sensor transducers, the working principles and the peculiarities of each technology, e.g., concerning the set-up, sensitivity, sensor size or required sample volume. Starting from optical technologies like the SPR and waveguide based sensors, acoustic sensors like the quartz crystal microbalance (QCM) and the film bulk acoustic resonator (FBAR), calorimetric and electrochemical sensors are covered. Technologies long established in the market are presented together with those newly commercially available and with technologies in the early development stage. Finally, the commercially available instruments are summarized together with their sensitivity and the number of sensors usable in parallel and an outlook for potential future developments is given.

Water-mediated binding of agents that target the DNA minor groove

Small molecule complexes with DNA that incorporate linking water molecules are rare, and the DB921-DNA complex has provided a unique and well-defined system for analysis of water-mediated binding in the context of a DNA complex. DB921 has a benzimidazole-biphenyl system with terminal amidines that results in a linear conformation that does not possess the appropriate radius of curvature to match the minor groove shape and represents a new paradigm that does not fit the classical model of minor groove interactions. To better understand the role of the bound water molecule observed in the X-ray crystal structure of the DB921 complex, synthetic modifications have been made in the DB921 structure, and the interactions of the new compounds with DNA AT sites have been evaluated with an array of methods, including DNase I footprinting, biosensor-surface plasmon resonance, isothermal titration microcalorimetry, and circular dichroism. The interaction of a key compound, which has the amidine at the phenyl shifted from the para position in DB921 to the meta position, has also been examined by X-ray crystallography. The detailed structural, thermodynamic, and kinetic results provide valuable new information for incorporation of water molecules in the design of new lead scaffolds for targeting DNA in chemical biology and therapeutic applications.

The feet of the measles virus polymerase bind the viral nucleocapsid protein at a single site

Measles virus has a single-stranded RNA genome that is organized into a helical complex by the viral N protein. The resulting structure is termed the nucleocapsid and is traversed by the viral polymerase during RNA synthesis. The P protein, the noncatalytic subunit of the polymerase, provides the "legs and feet" that allow the polymerase to walk along its protein-RNA template. The polymerase feet are very simple three-helix bundles, only 50 amino acids in size. Previously, we have shown that these feet grasp the viral N protein during movement by attaching to a short sequence (amino acids 487-503) within the disordered and surface-exposed tail of N, causing it to fold into a helix. The result is a weak-affinity complex with a short lifetime, which would allow the polymerase to take rapid steps forward. The structure of the complex was determined using X-ray crystallography. This simple model of binding was challenged by a paper in this journal, claiming that a downstream sequence in the tail of N (amino acids 517-525) was also critical for the association. Its presence was reported to enhance the overall affinity of the polymerase feet for N by three orders of magnitude. We have, therefore, examined binding of the polymerase foot domain to amino acids 477-525 of N using quantitative biophysical techniques, and compared the results to our previous binding studies, performed using amino acids 477-505 of N. We find no evidence that the sequence downstream of amino acid 505 influences binding, validating the original single-site binding model.

Development of a Qualitative Sequential Immunoassay for Characterizing the Intrinsic Properties of Circulating Cardiac Troponin I

BACKGROUND

With myocardial infarction (MI), cardiac troponin is released from the heart into circulation, where it can be detected with immunoassays independently quantifying cardiac troponin I (cTnI) or cTnT. There is, however, no single immunoassay that sequentially probes the posttranslational modification status of cTnI or directly characterizes whether circulating cTnI is bound to cTnC and/or cTnT. Here we describe the development of a qualitative immunoassay to directly probe the primary and ternary structure of circulating cTnI through diffractive optics technology (dotLab® System, Axela).

METHODS

Anti-cTnI antibody 8I-7 was immobilized on a patterned sensor to capture cTnI. One or more detector antibodies were sequentially introduced to probe for amino acid sequence integrity or phosphorylation status of cTnI, or its association with cTnC and/or cTnT. Respective immunocaptures were recorded as real-time diffractive intensities (DIs), and the DI differences were analyzed. Each immunodetection was independent of the others but was done in a single sequential assay.

RESULTS

This diffraction-based immunoassay successfully characterized cTnI. The unamplified assay determined whether cTnI was degraded at N-terminus and/or C-terminus or phosphorylated. Sequential application of multiple detector antibodies without an antibody-stripping step enables real-time interrogation of 5 different epitopes of cTnI, or direct detection of the cTn complex (cTnI–cTnC–cTnT) in a single sequential assay. Finally, this assay was optimized with amplification to directly detect circulating cTnI bound to cTnC and cTnT in serum from an MI patient.

CONCLUSIONS

The dot® Immunoassay is the first qualitative sequential immunoassay to address the direct interactions of the troponin subunits and various modified forms of cTnI.

A capture coupling method for the covalent immobilization of hexahistidine tagged proteins for surface plasmon resonance

Surface plasmon resonance (SPR) is a robust method to detect and quantify macromolecular interactions; however, to measure binding interactions, one component must be immobilized on a sensor surface. This is typically achieved using covalent immobilization via free amines or thiols, or noncovalent immobilization using high-affinity interactions such as biotin/streptavidin or antibody/antigen. In this chapter we describe a robust method to covalently immobilize His(6) fusion proteins on the sensor surface for SPR analysis.

Quantitative analysis of small molecule-nucleic acid interactions with a biosensor surface and surface plasmon resonance detection

Surface plasmon resonance (SPR) technology with biosensor surfaces has become a widely-used tool for the study of nucleic acid interactions without any labeling requirements. The method provides simultaneous kinetic and equilibrium characterization of the interactions of biomolecules as well as small molecule-biopolymer binding. SPR monitors molecular interactions in real time and provides significant advantages over optical or calorimetic methods for systems with strong binding coupled to small spectroscopic signals and/or reaction heats. A detailed and practical guide for nucleic acid interaction analysis using SPR-biosensor methods is presented. Details of the SPR technology and basic fundamentals are described with recommendations on the preparation of the SPR instrument, sensor chips, and samples, as well as extensive information on experimental design, quantitative and qualitative data analysis and presentation. A specific example of the interaction of a minor-groove-binding agent with DNA is evaluated by both kinetic and steady-state SPR methods to illustrate the technique. Since the molecules that bind cooperatively to specific DNA sequences are attractive for many applications, a cooperative small molecule-DNA interaction is also presented.

Kinetic studies of biological interactions by affinity chromatography

The rates at which biological interactions occur can provide important information on the mechanism and behavior of such processes in living systems. This paper will discuss how affinity chromatography can be used as a tool to examine the kinetics of biological interactions. This approach, referred to here as biointeraction chromatography, uses a column with an immobilized binding agent to examine the association or dissociation of this agent with other compounds. The use of HPLC-based affinity columns in kinetic studies has received particular attention in recent years. Advantages of using HPLC with affinity chromatography for this purpose include the ability to reuse the same ligand within a column for a large number of experiments, and the good precision and accuracy of this approach. A number of techniques are available for kinetic studies through the use of affinity columns and biointeraction chromatography. These approaches include plate height measurements, peak profiling, peak fitting, split-peak measurements, and peak decay analysis. The general principles for each of these methods are discussed in this paper and some recent applications of these techniques are presented. The advantages and potential limitations of each approach are also considered.

Approach for reliable evaluation of drug proteins interactions using surface plasmon resonance technology

The surface plasmon resonance (SPR) biosensor was recently introduced to the analytical biochemical society for measuring small drug-protein interactions. However, the technique has many times been used without specifying the type of enantiomeric form of the chiral drug measured and/or with using a too narrow drug concentration range resulting in biased values of binding coefficients and sometimes even assumptions about single-site bindings although the binding in reality comprises a multisite interaction. In this study we will give guidelines for reliable experimental and methodological approaches to avoid these pitfalls. For this purpose, we also introduce a new tool, based on physical chemistry, to the sensor community; the calculation of the adsorption energy distribution (AED). The AED-calculations reveal the degree of heterogeneity directly from the SPR raw data and thus guide us into a narrower selection of probable models before the rival model fitting procedure. We demonstrate how to measure reliable equilibrium data for the two typically different cases: drug binding to (i) transport (plasma) proteins and to (ii) a target protein. Both the binding of the chiral beta-blocker propranolol to alpha(1)-acid glycoprotein (AGP) and that of the anticoagulant warfarin to human serum albumin were heterogeneous, with a few strong enantioselective sites and many weak nonselective sites. We also demonstrate how the multisite binding rapidly falsely turns to single-site as the concentration range is narrowed and how adding dimethyl sulfoxide to the buffer affects multisite drug-protein data. The binding of the enantiomers of the thrombin inhibitor melagatran was investigated on both thrombin and the transport proteins, revealing clear enantioselectivity for thrombin in favor of the active enantiomer, but almost similar binding properties for both enantiomers to the transport protein AGP. The AED-calculations verified that both these system has a unimodal energy distribution and are best described with a homogeneous adsorption model.

Overview of Biacore systems and their applications

Surface plasmon resonance (SPR) allows for the investigation of the functional nature of binding interactions and provides detailed kinetic information across a wide range of molecular weights, including small molecules, all without the use of labels. Here the various Biacore instrument platforms and their primary uses, ranging from semi-automated systems designed for simple, flexible basic research to fully automated, high-throughput systems, and systems designed to function in regulated environments, are all highlighted. The available sensor chip surfaces and immobilization techniques are also discussed. Biacore SPR biosensors can be used for a wide variety of assays, including specificity, active concentration measurement, kinetics, and affinity and thermodynamic parameters. Biacore SPR biosensors, which measure real-time analysis of biospecific interactions without the use of labeled molecules, can be used for a wide variety of protein interaction assays. In this unit, examples and recommendations for studying protein interactions with a variety of molecules are provided. This unit also shows how the technology can be used to determine binding specificity, active concentration measurements, and the determination of kinetic and thermodynamic parameters.

Identification of a consensus DNA-binding site for the Arabidopsis thaliana SBP domain transcription factor, AtSPL14, and binding kinetics by surface plasmon resonance

Proteins with a conserved Cys- and His-rich SQUAMOSA promoter binding protein (SBP) domain are transcription factors restricted to photosynthetic organisms that possess a novel two Zn-finger structure DNA-binding domain. Despite the fact that altered expression of some SBP-encoding genes has profound effects on organism growth and development, little is known about SBP domain protein target genes. Misexpression of the Arabidopsis thaliana AtSPL14 SBP domain gene confers resistance to programmed cell death and modifies plant architecture. A consensus DNA-binding motif for AtSPL14 was identified by systematic evolution of ligands by exponential enrichment (SELEX) or random binding site selection (RBSS). DNA recognized by AtSPL14 contained the core binding motif (GTAC) found for other SBP domain proteins, but mutational analyses indicated that at least one additional flanking nucleotide is necessary for effective AtSPL14-DNA interaction. Comparison of several SBP domain amino acid sequences allows us to hypothesize which specific amino acids might participate in this sequence-specific DNA recognition. Electrophoretic mobility shift assays (EMSA) with mutant AtSPL14 DNA-binding domain proteins indicated that not all of the Zn (2+) ion coordinating ligands in the second Zn structure are strictly required for DNA binding. Surface plasmon resonance (SPR) was used to evaluate AtSPL14 in vitro binding kinetics for comparison of equilibrium binding constants with other SBP domain proteins. These data provide a strong basis for further experiments aimed at defining and distinguishing the sets of genes regulated by the closely related SBP domain family members.

Biosensor-surface plasmon resonance methods for quantitative analysis of biomolecular interactions

The surface plasmon resonance (SPR) biosensor method has emerged as a very flexible and powerful approach for detecting a wide diversity of biomolecular interactions. SPR monitors molecular interactions in real time and provides significant advantages over optical or calorimetric methods for systems with strong binding and low spectroscopic signals or reaction heats. The SPR method simultaneously provides kinetic and equilibrium characterization of the interactions of biomolecules. Such information is essential for development of a full understanding of molecular recognition as well as for areas such as the design of receptor-targeted therapeutics. This article presents basic, practical procedures for conducting SPR experiments. Initial preparation of the SPR instrument, sensor chips, and samples are described. This is followed by suggestions for experimental design, data analysis, and presentation. Steady-state and kinetic studies of some small molecule-DNA complexes are used to illustrate the capability of this technique. Examples of the agreement between biosensor-SPR and solution studies are presented.

Binding kinetics of darunavir to human immunodeficiency virus type 1 protease explain the potent antiviral activity and high genetic barrier

The high incidence of cross-resistance between human immunodeficiency virus type 1 (HIV-1) protease inhibitors (PIs) limits their sequential use. This necessitates the development of PIs with a high genetic barrier and a broad spectrum of activity against PI-resistant HIV, such as tipranavir and darunavir (TMC114). We performed a surface plasmon resonance-based kinetic study to investigate the impact of PI resistance-associated mutations on the protease binding of five PIs used clinically: amprenavir, atazanavir, darunavir, lopinavir, and tipranavir. With wild-type protease, the binding affinity of darunavir was more than 100-fold higher than with the other PIs, due to a very slow dissociation rate. Consequently, the dissociative half-life of darunavir was much higher (>240 h) than that of the other PIs, including darunavir's structural analogue amprenavir. The influence of protease mutations on the binding kinetics was tested with five multidrug-resistant (MDR) proteases derived from clinical isolates harboring 10 to 14 PI resistance-associated mutations with a decreased susceptibility to various PIs. In general, all PIs bound to the MDR proteases with lower binding affinities, caused mainly by a faster dissociation rate. For amprenavir, atazanavir, lopinavir, and tipranavir, the decrease in affinity with MDR proteases resulted in reduced antiviral activity. For darunavir, however, a nearly 1,000-fold decrease in binding affinity did not translate into a weaker antiviral activity; a further decrease in affinity was required for the reduced antiviral effect. These observations provide a mechanistic explanation for darunavir's potent antiviral activity and high genetic barrier to the development of resistance.