Analysis and automatic identification of sleep stages using higher order spectra

Electroencephalogram (EEG) signals are widely used to study the activity of the brain, such as to determine sleep stages. These EEG signals are nonlinear and non-stationary in nature. It is difficult to perform sleep staging by visual interpretation and linear techniques. Thus, we use a nonlinear technique, higher order spectra (HOS), to extract hidden information in the sleep EEG signal. In this study, unique bispectrum and bicoherence plots for various sleep stages were proposed. These can be used as visual aid for various diagnostics application. A number of HOS based features were extracted from these plots during the various sleep stages (Wakefulness, Rapid Eye Movement (REM), Stage 1-4 Non-REM) and they were found to be statistically significant with p-value lower than 0.001 using ANOVA test. These features were fed to a Gaussian mixture model (GMM) classifier for automatic identification. Our results indicate that the proposed system is able to identify sleep stages with an accuracy of 88.7%.     

Mapping of a higher order protein-DNA complex: two kinds of long-range interactions in lambda attL

To map the protein-protein and protein-DNA interactions involved in lambda site-specific recombination, Int cleavage assays with suicide substrates, nuclease protection patterns, gel retardation experiments, and quantitative Western blotting were applied to wild-type attL and attL mutants. The results lead to a model in which one IHF molecule bends the attL DNA and forms a higher order complex with the three bivalent Int molecules required for excisive recombination. It is proposed that each of the Int molecules binds in a unique manner: one bridges two DNA binding sites in cis, one is held via its high affinity amino-terminal DNA binding domain, and the third depends upon protein-protein interactions in addition to its low affinity carboxy-terminal DNA binding domain. This protein-DNA complex contains two unsatisfied DNA binding domains, each with a different sequence specificity, and is well suited to specific interactions with an appropriate recombination partner.     

Determination of the drug-DNA binding modes using fluorescence-based assays

Therapeutic drugs and environmental pollutants may exhibit high reactivity toward DNA bases and backbone. Understanding the mechanisms of drug-DNA binding is crucial for predicting their potential genotoxicity. We developed a fluorescence analytical method for the determination of the preferential binding mode for drug-DNA interactions. Two nucleic acid dyes were employed in the method: TO-PRO-3 iodide (TP3) and 4',6-diamidino-2-phenylindole (DAPI). TP3 binds DNA by intercalation, whereas DAPI exhibits minor groove binding. Both dyes exhibit significant fluorescence magnification on binding to DNA. We evaluated the DNA binding constant, K(b), for each dye. We also performed fluorescence quenching experiments with 11 molecules of various structures and measured a C(50) value for each compound. We determined preferential binding modes for the aforementioned molecules and found that they bound to DNA consistently, as indicated by other studies. The values of the likelihood of DNA intercalation were correlated with the partition coefficients of the molecules. In addition, we performed nuclear magnetic resonance (NMR) studies of the interactions with calf thymus DNA for the three molecules. The results were consistent with the fluorescence method described above. Thus, we conclude that the fluorescence method we developed provides a reliable determination of the likelihoods of the two different DNA binding modes.     

Identification and analysis of hepatitis C virus NS3 helicase inhibitors using nucleic acid binding assays

Typical assays used to discover and analyze small molecules that inhibit the hepatitis C virus (HCV) NS3 helicase yield few hits and are often confounded by compound interference. Oligonucleotide binding assays are examined here as an alternative. After comparing fluorescence polarization (FP), homogeneous time-resolved fluorescence (HTRF®; Cisbio) and AlphaScreen® (Perkin Elmer) assays, an FP-based assay was chosen to screen Sigma’s Library of Pharmacologically Active Compounds (LOPAC) for compounds that inhibit NS3-DNA complex formation. Four LOPAC compounds inhibited the FP-based assay: aurintricarboxylic acid (ATA) (IC₅₀ = 1.4 μM), suramin sodium salt (IC₅₀ = 3.6 μM), NF 023 hydrate (IC₅₀ = 6.2 μM) and tyrphostin AG 538 (IC₅₀ = 3.6 μM). All but AG 538 inhibited helicase-catalyzed strand separation, and all but NF 023 inhibited replication of subgenomic HCV replicons. A counterscreen using Escherichia coli single-stranded DNA binding protein (SSB) revealed that none of the new HCV helicase inhibitors were specific for NS3h. However, when the SSB-based assay was used to analyze derivatives of another non-specific helicase inhibitor, the main component of the dye primuline, it revealed that some primuline derivatives (e.g. PubChem CID50930730) are up to 30-fold more specific for HCV NS3h than similarly potent HCV helicase inhibitors.     

Qualitative analysis of sequence specific binding of flavones to DNA using restriction endonuclease activity assays

Flavones, found in nature as secondary plant metabolites, have shown efficacy as anti‐cancer agents. We have examined the binding of two flavones, 5,7‐dihydroxy‐3,6,8‐trimethoxy‐2‐phenyl‐4H‐chromen‐4‐one (5,7‐dihydroxy‐3,6,8‐trimethoxy flavone; FlavA) and 3,5‐dihydroxy‐6,7,8‐trimethoxy‐2‐phenyl‐4H‐chromen‐4‐one (3,5‐dihydroxy‐6,7,8‐trimethoxy flavone; FlavB), to phiX174 RF DNA using restriction enzyme activity assays employing the restriction enzymes Alw44, AvaII, BssHII, DraI, MluI, NarI, NciI, NruI, PstI, and XhoI. These enzymes possess differing target and flanking sequences allowing for observation of sequence specificity analysis. Using restriction enzymes that cleave once with a mixture of supercoiled and relaxed DNA substrates provides for observation of topological effects on binding. FlavA and FlavB show differing sequence specificities in their respective binding to phiX. For example, with relaxed DNA, FlavA shows inhibition of cleavage with DraI (reaction site ^5′TTTAAA) but not BssHII (^5′GCGCGC) while FlavB shows the opposite results. Evidence for tolological specificity is also observed, Molecular modeling and conformational analysis of the flavones suggests that the phenyl ring of FlavB is coplanar with the flavonoid ring while the phenyl ring of FlavA is at an angle relative to the flavonoid ring. This may account for aspects of the observed sequence and topological specificities in the effects on restriction enzyme activity. © 2013 Wiley Periodicals, Inc. Biopolymers 99: 530–537, 2013.     

ECG signal denoising using higher order statistics in Wavelet subbands

In this work, we propose a novel denoising method based on evaluation of higher-order statistics at different Wavelet bands for an electrocardiogram (ECG) signal. Higher-order statistics at different Wavelet bands provides significant information about the statistical nature of the data in time and frequency. The fourth order cumulant, Kurtosis, and the Energy Contribution Efficiency (ECE) of signal in a Wavelet subband are combined to assess the noise content in the signal. Accordingly, four denoising factors are proposed. Performance of the denoising factors is evaluated and compared with the soft thresholding method. The filtered signal quality is assessed using Percentage Root Mean Square Difference (PRD), Wavelet Weighted Percentage Root Mean Square Difference (WWPRD), and Wavelet Energy-based Diagnostic Distortion (WEDD) measures. It is observed that the proposed denoising scheme not only filters the signal effectively but also helps retain the diagnostic information.     

Time-frequency analysis and filtering of kinematic signals with impacts using the Wigner function: accurate estimation of the second derivative

Biomechanical signals are represented in the time-frequency domain using the Wigner distribution function. Filtering of this representation for the case of a non-stationary displacement signal with impact is studied. Smoothed displacement data are then double differentiated and compared with references accelerometer data. It is shown that this technique is able to remove noise from these signals in a better way than conventional filtering techniques currently used in biomechanics.     

Cooperative binding of oxygen to hemoglobin: analysis of accurate equilibrium binding data

Accurate equilibrium binding data for the oxygenation of hemoglobin are used (a) to show that various models for cooperativity are inconsistent with the best available experimental data, (b) to determine the equilibrium constants for binding of 2,3-diphosphoglycerate to hemoglobin molecules in intermediate stages of oxygenation, and (c) to deduce a mechanism for allosteric effects in hemoglobin which is consistent with the best available experimental data. The total free energy of cooperativity is defined and discussed.     

Determination of binding constants for cooperative site-specific protein-DNA interactions using the gel mobility-shift assay

We have investigated the question of whether the gel mobility-shift assay can provide data that are useful to the demonstration of cooperativity in the site-specific binding of proteins to DNA. Three common patterns of protein-DNA interaction were considered: (i) the cooperative binding of a protein to two sites (illustrated by the Escherichia coli Gal repressor); (ii) the cooperative binding of a bidentate protein to two sites (illustrated by the E. coli Lac repressor); and (iii) the cooperative binding of a protein to three sites (illustrated by the lambda cI repressor). A simple, rigorous, and easily extendable statistical mechanical approach to the derivation of the binding equations for the different patterns is presented. Both simulated and experimental data for each case are analyzed. The mobility-shift assay provides estimates of the macroscopic binding constants for each step of ligation based on its separation of liganded species by the number of ligands bound. Resolution of the binding constants depends on the precision with which the equilibrium distribution of liganded species is determined over the entire range of titration of each of the sites. However, the evaluation of cooperativity from the macroscopic binding constants is meaningful only for data that are also accurate. Some criteria that are useful in evaluating accuracy are introduced and illustrated. Resolution of cooperative effects is robust only for the simplest case, in which there are two identical protein binding sites. In this case, cooperative effects of up to 1,000-fold are precisely determined. For heterogeneous sites, cooperative effects of greater than 1,000-fold are resolvable, but weak cooperativity is masked by the heterogeneity. For three-site systems, only averaged pair-wise cooperative effects are resolvable.     

Selectin/glycoconjugate binding assays for the identification and optimization of selectin antagonists.

In this study we describe ELISA-type P- and L-selectin binding assays for the analysis of selectin antagonists. A biotinylated polyacrylamide-type glycoconjugate containing sialyl Lewis A (sLe(a)-polymer) is utilized as a synthetic ligand for both selectins analogous to the E-selectin assay we have developed recently. Following precomplexation of sLe(a)-polymer with streptavidin-peroxidase, the complex is added to microtiter plates coated with the recombinant selectins. Binding of sLe(a)-polymer to the immobilized selectins is measured by the peroxidase reaction. SLe(a)-polymer was found to bind to P- and L-selectin in a cation-dependent manner. The interaction of the polymer was blocked by neutralizing anti-P- and anti-L-selectin antibody, respectively. The reference compounds heparin and fucoidan inhibited in both assays. Sialyl Lewis X (sLe(x)) blocked binding to L-selectin by 46% at 3 mM, whereas no inhibition was observed in the P-selectin assay up to 3 mM. Control polymers containing sialic acid or beta-d-glucose instead of sLe(a) weakly bound or failed to bind to the selectins. Both assays are rapid to perform and of low variability. The P-selectin assay was successfully employed to identify and optimize novel carbohydrate-based P-selectin antagonists. The P-, L-, and E-selectin assays were used to determine the fine selectivity of several sLe(x)-related selectin antagonists. These studies together suggest that sLe(a)-polymer-based selectin assays are well suited for primary screening and the characterization of selectin antagonists.     

Determination of radioligand specific activity using competition binding assays.

Radioligand binding assays are routinely utilized in laboratories throughout the world to study receptors and their related binding sites, carrier proteins, and enzymes. To accurately estimate equilibrium binding parameters, such as the equilibrium dissociation constant (Kd) and maximal number of binding sites (Bmax), the investigator must know the correct value of the specific activity of the radioligand. If the specific activity is overestimated the Kd and Bmax values will be underestimated, while underestimation of the specific activity results in an overestimation of the Kd and Bmax. The present communication describes a simple and rapid method for determining the specific activity of a radioligand using homologous competition binding assays. Performing the competition assays at two or more different concentrations of the radioligand allows the specific activity to be determined from the IC50 values without the need of analytical methods to quantify minute amounts of the radioligand. In addition to providing the specific activity, use of this method estimates the Kd for the radioligand. This method was utilized to determine the specific activity and Kd for two blockers of the dopamine uptake carrier, [3H]GBR-12935 and [3H]-CFT, which share a common binding site in the striatum.     

Bayesian identification of admixture events using multilocus molecular markers

Bayesian statistical methods for the estimation of hidden genetic structure of populations have gained considerable popularity in the recent years. Utilizing molecular marker data, Bayesian mixture models attempt to identify a hidden population structure by clustering individuals into genetically divergent groups, whereas admixture models target at separating the ancestral sources of the alleles observed in different individuals. We discuss the difficulties involved in the simultaneous estimation of the number of ancestral populations and the levels of admixture in studied individuals' genomes. To resolve this issue, we introduce a computationally efficient method for the identification of admixture events in the population history. Our approach is illustrated by analyses of several challenging real and simulated data sets. The software (baps), implementing the methods introduced here, is freely available at http://www.rni.helsinki.fi/~jic/bapspage.html.