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Biomedical subjects

Phinikoula S Katsamba

Publications and source records attributed to Phinikoula S Katsamba.

9 recordsLinked to original sources

Comparative analysis of 10 small molecules binding to carbonic anhydrase II by different investigators using Biacore technology.

In this benchmark study, 26 investigators were asked to characterize the kinetics and affinities of 10 sulfonamide inhibitors binding to the enzyme carbonic anhydrase II using Biacore optical biosensors. A majority of the participants collected data that could be fit to a 1:1 interaction model, but a subset of the data sets obtained from some instruments were of poor quality. The experimental errors in the k(a), k(d), and K(D) parameters determined for each of the compounds averaged 34, 24, and 37%, respectively. As expected, the greatest variation in the reported constants was observed for compounds with exceptionally weak affinity and/or fast association rates. The binding constants determined using the biosensor correlated well with solution-based titration calorimetry measurements. The results of this study provide insight into the challenges, as well as the level of experimental variation, that one would expect to observe when using Biacore technology for small molecule analyses.

Biosensing Techniques↗

Kinetic analysis of a high-affinity antibody/antigen interaction performed by multiple Biacore users.

To explore the reliability of Biacore-based assays, 22 study participants measured the binding of prostate-specific antigen (PSA) to a monoclonal antibody (mAb). Each participant was provided with the same reagents and a detailed experimental protocol. The mAb was immobilized on the sensor chip at three different densities and a two-step assay was used to determine the kinetic and affinity parameters of the PSA/mAb complex. First, PSA was tested over a concentration range of 2.5-600 nM to obtain k(a) information. Second, to define the k(d) of this stable antigen/antibody complex accurately, the highest PSA concentration was retested with the dissociation phase of each binding cycle monitored for 1h. All participants collected data that could be analyzed to obtain kinetic parameters for the interaction. The association and the extended-dissociation data derived from the three antibody surfaces were globally fit using a simple 1:1 interaction model. The average k(a) and k(d) for the PSA/mAb interaction as calculated from the 22 analyses were (4.1+/-0.6) x 10(4) M(-1) s(-1) and (4.5+/-0.6) x 10(-5) s(-1), respectively. Overall, the experimental standard errors in the rate constants were only approximately 14%. Based on the kinetic rate constants, the affinity (K(D)) of the PSA/mAb interaction was 1.1+/-0.2 nM.

Antibodies, Monoclonal↗

The role of positively charged amino acids and electrostatic interactions in the complex of U1A protein and U1 hairpin II RNA.

Previous kinetic investigations of the N-terminal RNA recognition motif (RRM) domain of spliceosomal protein U1A, interacting with its RNA target U1 hairpin II, provided experimental evidence for a 'lure and lock' model of binding in which electrostatic interactions first guide the RNA to the protein, and close range interactions then lock the two molecules together. To further investigate the 'lure' step, here we examined the electrostatic roles of two sets of positively charged amino acids in U1A that do not make hydrogen bonds to the RNA: Lys20, Lys22 and Lys23 close to the RNA-binding site, and Arg7, Lys60 and Arg70, located on 'top' of the RRM domain, away from the RNA. Surface plasmon resonance-based kinetic studies, supplemented with salt dependence experiments and molecular dynamics simulation, indicate that Lys20 predominantly plays a role in association, while nearby residues Lys22 and Lys23 appear to be at least as important for complex stability. In contrast, kinetic analyses of residues away from the RNA indicate that they have a minimal effect on association and stability. Thus, well-positioned positively charged residues can be important for both initial complex formation and complex maintenance, illustrating the multiple roles of electrostatic interactions in protein-RNA complexes.

Amino Acid Sequence↗

Eosinophil-granule major basic protein, a C-type lectin, binds heparin.

The eosinophil major basic protein (EMBP), a constituent of the eosinophil secondary granule, is implicated in cytotoxicity and mediation of allergic disorders such as asthma. It is a member of the C-type lectin family, but lacks a Ca(2+)- and carbohydrate-binding site as seen in other members of this family. Here, we report the crystal structure of EMBP in complex with a heparin disaccharide and in the absence of Ca(2+), the first such report of any C-lectin with this sugar. We also provide direct evidence of binding of EMBP to heparin and heparin disaccharide by surface plasmon resonance. We propose that the sugars recognized by EMBP are likely to be proteoglycans such as heparin, leading to new interpretations for EMBP function.

Anticoagulants↗

Analyzing a kinetic titration series using affinity biosensors.

The classical method of measuring binding constants with affinity-based biosensors involves testing several analyte concentrations over the same ligand surface and regenerating the surface between binding cycles. Here we describe an alternative approach to collecting kinetic binding data, which we call "kinetic titration." This method involves sequentially injecting an analyte concentration series without any regeneration steps. Through a combination of simulation and experimentation, we show that this method can be as robust as the classical method of analysis. In addition, kinetic titrations can be more efficient than the conventional data collection method and allow us to fully characterize analyte binding to ligand surfaces that are difficult to regenerate.

Antibodies, Monoclonal↗

Kinetic analysis of the role of the tyrosine 13, phenylalanine 56 and glutamine 54 network in the U1A/U1 hairpin II interaction.

The A protein of the U1 small nuclear ribonucleoprotein particle, interacting with its stem-loop RNA target (U1hpII), is frequently used as a paradigm for RNA binding by recognition motif domains (RRMs). U1A/U1hpII complex formation has been proposed to consist of at least two steps: electrostatically mediated alignment of both molecules followed by locking into place, based on the establishment of close-range interactions. The sequence of events between alignment and locking remains obscure. Here we examine the roles of three critical residues, Tyr13, Phe56 and Gln54, in complex formation and stability using Biacore. Our mutational and kinetic data suggest that Tyr13 plays a more important role than Phe56 in complex formation. Mutational analysis of Gln54, combined with molecular dynamics studies, points to Arg52 as another key residue in association. Based on our data and previous structural and modeling studies, we propose that electrostatic alignment of the molecules is followed by hydrogen bond formation between the RNA and Arg52, and the sequential establishment of interactions with loop bases (including Tyr13). A quadruple stack, sandwiching two bases between Phe56 and Asp92, would occur last and coincide with the rearrangement of a C-terminal helix that partially occludes the RRM surface in the free protein.

Amino Acid Sequence↗

Complex role of the beta 2-beta 3 loop in the interaction of U1A with U1 hairpin II RNA.

RNA recognition motifs (RRMs) are characterized by highly conserved regions located centrally on a beta-sheet, which forms the RNA binding surface. Variable flanking regions, such as the loop connecting beta-strands 2 and 3, are thought to be important in determining the RNA-binding specificities of individual RRMs. The N-terminal RRM of the spliceosomal U1A protein mediates binding to an RNA hairpin (U1hpII) in the U1 small nuclear RNA. In this complex, the beta(2)-beta(3) loop protrudes through the 10-nucleotide RNA loop. Shortening of the RNA loop strongly perturbs binding, suggesting that an optimal "fit" of the beta(2)-beta(3) loop into the RNA loop is an important factor in complexation. To understand this interaction further, we mutated or deleted loop residues Lys(50) and Met(51), which protrude centrally into the RNA loop but do not make any direct contacts to the bases. Using BIACORE, we analyzed the ability of these U1A mutants to bind to wild type RNAs, or RNAs with shortened loops. Alanine replacement mutations only modestly affected binding to wild type U1hpII. Interestingly, simultaneous replacement of Lys(50) and Met(51) with alanine appeared to alleviate the loss of binding caused by shortening of the RNA loop. Deletion of Lys(50) or Met(51) caused a dramatic loss in stability of the U1A.U1hpII complex. However, deletion of both residues simultaneously was much less deleterious. Simulated annealing molecular dynamics analyses suggest this is due to the ability of this mutant to rearrange flanking amino acids to substitute for the two deleted residues. The double deletion mutant also exhibited substantially reduced negative effects of RNA loop shortening, suggesting the rearranged loop is better able to accommodate a short RNA loop. Our results indicate that one of the roles of the beta(2)-beta(3) loop is to provide a steric fit into the RNA loop, thereby stabilizing the RNA.protein complex.

Alanine↗

Kinetic studies of RNA-protein interactions using surface plasmon resonance.

Although structural, biochemical, and genetic studies have provided much insight into the determinants of specificity and affinity of proteins for RNA, little is currently known about the kinetics that underlie RNA-protein interactions. Protein-RNA complexes are dynamic, and the kinetics of binding and release could influence many processes, such as the ability of RNA-binding proteins to compete for binding sites, the sequential assembly of ribonucleoprotein complexes, and the ability of bound RNA to move between cellular compartments. Therefore, to attain a complete and biologically relevant understanding of RNA-protein interactions, complex formation must be studied not only in equilibrated reactions, but also as a dynamic process. BIACORE, a surface plasmon resonance-based biosensor technology, allows intermolecular interactions to be measured in real time, and can provide both equilibrium and kinetic information about complex formation. This technology is a powerful tool with which to study the dynamics of RNA-protein interactions. We have used BIACORE extensively to obtain detailed insight into the interaction between RNA and proteins carrying RNA recognition motif domains. Here we discuss the physical principles on which BIACORE is based, and the required instrumentation. We describe how to design well-controlled RNA-protein interaction experiments aimed at yielding high-quality data, and outline the steps required for data analysis. In addition, we present examples to illustrate how kinetic studies have provided us with unique insights into the interaction of the spliceosomal U1A protein and the neuronal HuD protein with their respective RNA targets.

Biosensing Techniques↗

Phosphoinositide-containing polymerized liposomes: stable membrane-mimetic vesicles for protein-lipid binding analysis.

Stable phosphoinositide (PIP(n))-containing liposomes were prepared using polydiacetylene photochemistry. Tethered pentacosadiynyl inositol polyphosphate (InsP(n)) analogues of Ins(1,3,4)P(3), Ins(1,4,5)P(3), and Ins(1,3,4,5)P(4) were synthesized, incorporated into vesicles made up of diyne-phosphatidylcholine and -phosphatidylethanolamine, and polymerized by UV irradiation. The polymerized liposome nanoparticles showed markedly increased stability over conventional PIP(n)-containing vesicles as a result of the covalent conjugated ene-yne network in the acyl chains. The polymerized liposomes were specifically recognized by PIP(n) binding PH domains in liposome overlay assays and amplified luminescent proximity homogeneous assays. Moreover, the biotin moiety allowed attachment of the nanoparticles to a streptavidin-coated sensor chips in surface plasmon resonance (SPR) sensor. The PIP(n) headgroups displayed on SPR sensors showed higher affinities for PH domains and PIP(n) monoclonal antibodies than did monomeric PIP(n)-analogues with biotinylated acyl chains.

Binding Sites↗