Transient interfacial patterns and instabilities associated with liquid film adhesion and spreading

A surface force apparatus was used to study surface shape changes during the adhesion and spreading of a polymer melt on a bare mica surface. Transient fingers were observed during the initial, rapid spreading process, pointing radially out from the initial adhesive contact point. The fingers had microscopic widths and lengths but submicroscopic thicknesses. They eventually disappeared, leaving a more slowly growing circular neck with a smooth, featureless polymer-air surface. The mean radius of the spreading meniscus (neck) was found to follow a scaling relationship with time of the form (ri + ro)/2 proportional, variant tn, with n = 0.128, while the ends of the fingers grew according to ro proportional, variant tn, with n = 0.10. These rates agree with the values of n = 0.100-0.125 predicted by classical wetting theories for circular macroscopic droplets (i.e., radially symmetric, without fingers) spreading on a solid surface. The lifetime of the transient fingering patterns increases with the polymer viscosity as tau proportional, variant etan, with n = 2.1 +/- 0.2. A circular trough or depression in the film was observed just beyond where the fingers ended, which appears to be a source of the material for the advancing fingers. In addition, beyond the trough, circular ripples/waves were observed on the polymer melt film surface. Such patterns may arise quite generally whenever a perturbation occurs that changes the local forces, thereby inducing a bulge or depression in a liquid film or surface. Thus, we observe similar fingers and ripples/waves during the spreading of liquid polybutadiene on (the immiscible and more viscous) liquid poly(dimethylsiloxane), suggesting that the phenomenon may exist in various liquid adhesion and spreading situations. For low viscosity liquids such as water and low molecular weight oils, our scaling relations suggest that the transient patterns will exist for only a few microseconds; this is likely the reason for why they have not yet been observed.     

Protein secondary structure conformations and associated hydrophobicity scales

We have developed conformational preference functions and a hierarchy of algorithms that can evaluate the success of each hydrophobicity scale in predicting protein secondary conformation. The results of such evaluation are shown for fiftyfive different scales with respect to their ability to predict -helix, -sheet and coil structure in three testing sets of proteins: five integral membrane proteins, twelve -class and sixteen -class soluble proteins. Our scale of conformational parameters is the best predictor of secondary structure segments in membrane proteins and -class proteins. The success rate and correlation coefficient for -helix conformation in membrane proteins are 76% and 0.46 respectively, which is superior to the performance measures attained with other prediction schemes. Evaluation of solution hydrophobicity scales, often used to predict transmembrane segments in membrane proteins, indicated absence of correlation in prediction of helix segments and experimental results for the conformation of membrane proteins. Such scales have better performance (correlation coefficient around 0.30) in predicting sheet conformation in the -class proteins.     

Gene expression profiling using advanced mass spectrometric approaches

In the era of systems biology, computational and high-throughput experimental biological approaches are increasingly being combined to provide global snapshots of entire genomes and proteomes under tissue- and disease-specific conditions. The aim is to identify proteins changing in concentration and/or post-translational state and/or location, and develop a better molecular level understanding of the operation of biological systems. Here we describe an approach for comparative proteomics that builds upon the combination of high-performance nano-scale separations with the high-mass measurement accuracy, mass-resolving power and sensitivity of Fourier transform ion cyclotron resonance mass spectrometry to provide broad dynamic range, comprehensive and quantitative proteome measurements.     

The effect of ELOVL6 fatty acid elongase inhibition on the expression of genes associated with the metastasis of breast cancer

Russian Chemical Bulletin - The paper addresses the effect of a new fatty acid elongase 6 (ELOVL6) inhibitor on the migration of breast cancer cells (estrogen receptor positive MCF7 cells and...     

Novel fluoroimmunoassay for ovarian cancer biomarker CA-125

Cancer antigen 125 (CA-125) is a glycoprotein biomarker that denotes the presence of ovarian and reproductive cancers in women, with serum concentrations of CA-125 greater than 35 U/ml considered indicative of potential malignancies. A fluorescent immunoassay recently developed in our laboratory employing the ALYGNSA antibody-orientation system has been used to measure CA-125 levels. This system displayed significantly increased sensitivity with a detection limit of 1.5 U/ml compared to that of a commercial CA-125 enzyme-linked immunosorbent assay (15 U/ml) This tenfold lower level of detection of the ALYGNSA CA-125 assay should permit better identification and monitoring of ovarian cancer.     

Targeted therapies for advanced non-small cell lung cancer

The incorporation of targeted agents has considerably improved the management of patients with advanced non-small cell lung cancer (NSCLC) over the last years. The main targets include the epidermal growth factor receptor (EGFR) and the vascular endothelial growth factor (VEGF). Currently available agents with established role in NSCLC include the anti-EGFR tyrosine-kinase inhibitors (TKIs) erlotinib/gefitinib and the anti-VEGF monoclonal antibody bevacizumab. Moreover, several other agents targeting critical pathways in lung carcinogenesis are currently under preclinical or clinical evaluation. This review presents an update on the role of targeted agents in advanced NSCLC. In addition, we present the main clinical studies investigating the activity of these agents in NSCLC and we provide recent data with respect to future therapeutic strategies.     

Multivariate analysis approach to the plasma protein profile of patients with advanced colorectal cancer

The aim of the present study was to identify the pattern of plasma protein species of interest as markers of colorectal cancer (CRC). Using matrix-assisted laser desorption/ionization-mass spectrometry (MALDI-MS), the plasma protein profile was determined in nine stage IV CRC patients (study group) and nine clean-colon healthy subjects (control group). Multivariate analysis methods were employed to identify distinctive disease patterns at protein spectrum. In the study and control groups, cluster analysis (CA) on the complete MALDI-MS spectra plasma protein profile showed a distinction between CRC patients and healthy subjects, thus allowing the identification of the most discriminating ionic species. Principal component analysis (PCA) and linear discriminant analysis (LDA) yielded similar grouping results. LDA with leave-one-out cross validation achieved a correct classification rate of 89% in both the patients and the healthy subjects.     

Green synthesized selenium nanoparticles for ovarian cancer cell apoptosis

Research on Chemical Intermediates - Over recent years, selenium nanoparticles (Se-NP) have been widely applied in nanomedicine science due to their exceptional physicochemical and biological...     

Synthesis and characterization of folic acid-chitosan nanoparticles loaded with thymoquinone to target ovarian cancer cells

The aim of the present research was to formulate and characterize radioiodinated folic acid-chitosan conjugated thymoquinone nanoparticles (FATQCSNPs) and to increase targeting ability on ovarian cancer cell. The dose of drug-loading into the FATQCSNPs and the amount of folic acid on the FATQCSNPs surface were determined as a 20.0?±?1% and 46.0?±?0.5%, respectively. Cell viabilities (%) determined on SKOV-3 and Caco-2 cells for 48 h. TQ, TQCS and FATQCS were very cytotoxic with lower IC₅₀ values on both cell lines. At specific-activity-dependent incorporation study, the incorporation efficiencies of ¹³¹I-FATQCSNPs was higher than that of ¹³¹I-TQ on SKOV3 cell lines.

     

Identification of the carboxymethyllysine residue in the advanced stage of glycated human serum albumin.

As an advanced stage of glycation, glycated human serum albumin (G-HSA; glucose content, 2 mol of 5-hydroxymethylfurfural equivalent/mol of HSA) was incubated at 37 degrees C up to 30 d in 0.2 M phosphate buffer, pH 7.4, with 100 microM Fe3+. G-HSA incubated for 30 d (G-HSA-30(Fe)) was subsequently hydrolyzed at 110 degrees C for 24 h in 6 N HCl. In the hydrolysate, N epsilon-carboxymethyllysine (CML) was identified by cochromatography with synthesized CML on an amino acid analyzer. pI of HSA (4.8) shifted to 4.5 in G-HSA. A more acidic fraction, pI 4.3, appeared in G-HSA-30(Fe). CML content (mol of CML/mol of HSA) of HSA and G-HSA was as follows; 0 in HSA, 0.2 in HSA-30(Fe), 0.4 in G-HSA and 1.5 in G-HSA-30(Fe) pI 4.3. The amino acid compositions also changed in lysine, arginine and tyrosine at the advanced stage of the reaction.     

Tumor pleural effusion proteome profiling for ovarian cancer biomarkers mining

Mass spectrometric proteome profiling of tumor pleural effusion (TPE) liquid fraction from ovarian cancer patients was performed to identify the potential biomarkers of the disease. The methodology of analysis of the TPE protein composition included the removal of high-abundant proteins by affinity chromatography, additional fractionation of the low-abundant proteins based on their lipophilicity, and high-resolution mass spectrometric analysis. As a result, 190 proteins were indentified, 49% of them belonging to the groups of extracellular and membrane proteins. The application of several criteria to data analysis allowed us to generate a group of 26 proteins that are promising candidates for testing as ovarian cancer biomarkers.     

Protein patterns of gel-entrapped Escherichia coli cells differ from those of free-floating organisms

The two-dimensional electrophoretic patterns of cellular proteins from gel-entrapped Escherichia coli cells were compared to those of exponential- and stationary-phase free-floating organisms. The amounts of several proteins in immobilized cells were significantly different from those in free bacteria. Immobilized organisms rapidly produced a high level of dipeptide permease and a single-strand binding protein, and progressively accumulated an aldehyde dehydrogenase. Immobilization also induced a decrease in the levels of two proteins, i.e., the YFID protein and a DNA-binding, stationary-phase protein. The possible role of these proteins in the high resistance of immobilized bacteria to stresses is discussed.     

Lysophosphatidic acid receptor 2 and Gi/Src pathway mediate cell motility through cyclooxygenase 2 expression in CAOV-3 ovarian cancer cells

Lysophosphatidic acid (LPA) is a bioactive phospholipids and involves in various cellular events, including tumor cell migration. In the present study, we investigated LPA receptor and its transactivation to EGFR for cyclooxygenase-2 (COX-2) expression and cell migration in CAOV-3 ovarian cancer cells. LPA induced COX-2 expression in a dose-dependent manner, and pretreatment of the cells with pharmacological inhibitors of Gi (pertussis toxin), Src (PP2), EGF receptor (EGFR) (AG1478), ERK (PD98059) significantly inhibited LPA-induced COX-2 expression. Consistent to these results, transfection of the cells with selective Src siRNA attenuated COX-2 expression by LPA. LPA stimulated CAOV-3 cell migration that was abrogated by pharmacological inhibitors and antibody of EP2. Higher expression of LPA2 mRNA was observed in CAOV-3 cells, and transfection of the cells with a selective LPA2 siRNA significantly inhibited LPA-induced activation of EGFR and ERK, as well as COX-2 expression. Importantly, LPA2 siRNA also blocked LPA-induced ovarian cancer cell migration. Collectively, our results clearly show the significance of LPA2 and Gi/Src pathway for LPA-induced COX-2 expression and cell migration that could be a promising drug target for ovarian cancer cell metastasis.     

Detect early stage lung cancer by a LAMP microfluidic chip system with a real-time fluorescent filter processor

This work presents a promising clinical molecular diagnostics for early stage lung cancer. This novel diagnostic method utilized the loop-mediated isothermal amplification (LAMP), microfluidic chips and a confocal optical detector with a non-linear fluorescent filter processor. An isothermal amplification based microfluidic chip for the early diagnostics of lung cancer was developed and a confocal optical detector was improved by a novel real-time fluorescent filter to sensitively monitor the DNA amplification procedure with high signal to noise ratio and fluorescence collecting ability. Experiment showed that a rapid diagnostic of lung cancer by detecting the existence of the CEA mRNA could be performed in only 5 μL of reaction assay in less than 45 min. While the traditional in-tube RT-PCR set consumed more than 25 μL of the assay and took more than 90 min.     

Mathematical modeling of an NMR chemistry problem in ovarian cancer diagnostics

We use mathematical modeling via the fast Padé transform (FPT) with respect to a theoretically-designed problem based on time signals that are similar to NMR data as encoded from benign and malignant ovarian cyst fluid. The FPT reconstructed exactly all the input spectral parameters by using exceedingly small fractions of the full time signals both for those corresponding to the benign, as well as to the malignant case. The converged parametric results remained stable thereafter at longer signal lengths. The Padé absorption spectra yielded clear resolution of all the extracted physical metabolites. The capacity of the FPT to resolve and precisely quantify the physical resonances as encountered in benign versus malignant ovarian cystic fluid is demonstrated. The practical significance of such findings is enhanced by the avoidance of the time signals’ exponential tail which is embedded in the background, leading to problems in quantification. Without any fitting or numerical integration of peak areas, the FPT reliably yields the metabolite concentrations of major importance for distinguishing benign from malignant ovarian lesions. Thus, the FPT provides distinct advantages relative to the standard Fourier methodology, which is also stable, but has a number of drawbacks. These include limited resolution capacity, as well as non-parametric estimation, so that only a shape spectrum is generated and post-processing is necessary via, e.g., fitting or numerical integrations which are not unique. The FPT is also distinguished from other competitive parametric methods, which are generally unstable as a function of signal length N at a fixed bandwidth and, therefore, particularly unsuitable to clinical data. We conclude that these advantages of the FPT could be of definite benefit for ovarian cancer diagnostics via NMR and that this line of investigation should continue with encoded data from benign and malignant ovarian tissue, in vitro and in vivo. This avenue is of clinical urgency for early ovarian cancer detection, a goal which is still elusive and achievement of which would confer a major survival benefit.     

Characterization of the differential protein expression associated with thermoresistance in human gastric carcinoma cell lines

Resistance to chemotherapeutic agents is one of the major problems faced during palliative therapy of tumor cells. Thus, chemotherapy is frequently combined with other modes of therapy such as radiation therapy and/or hyperthermia. Tumor cells respond to heat stress with development of thermotolerance and the interactions between chemo- and thermoresistance phenomena are not clearly understood. In this paper, we analyze the differential protein expression in vitro in human stomach cancer cells, their chemoresistant and thermoresistant counterparts using proteomics. The immediate aim was to identify sets of proteins that may lead to the development of thermoresistance. Based on these results, we aim to develop functional tests and methods for the modulation of thermoresistance and chemoresistance phenomena that may assist the therapy of inoperable cancers.     

Magnetic resonance spectroscopy with high-resolution and exact quantification in the presence of noise for improving ovarian cancer detection

Ovarian cancer is the most common cause of death from gynecological malignancies in many developed countries. When confined to the ovary, the 5-year survival rates are over 90%, but detection methods are insufficiently accurate for widespread application. Consequently, ovarian cancer is typically diagnosed late, with poor prognosis. Magnetic resonance spectroscopy (MRS) could potentially improve ovarian cancer diagnosis, but is currently hampered by poor resolution for this small, moving organ. Advanced signal processing methods through the fast Padé transform (FPT) can improve resolution and provide quantitative metabolic information. We applied the FPT to noise-corrupted time signals generated according to in vitro MRS data as encoded from malignant ovarian cyst fluid. In the presence of background noise, the FPT converged using merely 1/8 of the full signal length N =?1024, amounting to some 128 data points. This number of time signal points permits reconstruction of altogether 128 spectral parameters for 64 ensuing resonances. Each resonance is quantified by 2 spectral parameters, the complex-valued frequencies and amplitudes. The FPT accurately reconstructed the spectral parameters for all twelve genuine resonances from which the input time signal is intrinsically built. Thereby, in the presence of noise, the FPT provided fully reliable estimates of metabolite concentrations characteristic of malignant ovarian cyst fluid. Through the practical concept of signal-noise separation by means of so-called pole-zero cancellations (Froissart doublets), the remaining 52 resonances from the total of 64 resonances were unequivocally identified as spurious and, as such, could confidently be discarded. Given that magnetic resonance-based modalities entail no exposure to ionizing radiation, if their diagnostic accuracy were improved, magnetic resonance imaging and spectroscopy could have broader applications in screening surveillance for early ovarian cancer detection, especially among women at high risk. The present results suggest that Padé-optimized MRS could help achieve that goal.     

Protein microarrays and quantum dot probes for early cancer detection

We describe here a novel approach for detection of cancer markers using quantum dot protein microarrays. Both relatively new technologies; quantum dots and protein microarrays, offer very unique features that together allow detection of cancer markers in biological specimens (serum, plasma, body fluids) at pg/ml concentration. Quantum dots offer remarkable photostability and brightness. They do not exhibit photobleaching common to organic fluorophores. Moreover, the high emission amplitude for QDs results in a marked improvement in the signal to noise ratio of the final image. Protein microarrays allow highly parallel quantitation of specific proteins in a rapid, low-cost and low sample volume format. Furthermore the multiplexed assay enables detection of many proteins at once in one sample, making it a powerful tool for biomarker analysis and early cancer diagnostics.

In a series of multiplexing experiments we investigated ability of the platform to detect six different cytokines in protein solution. We were able to detect TNF-, IL-8, IL-6, MIP-1β, IL-13 and IL-1β down to picomolar concentration, demonstrating high sensitivity of the investigated detection system.

We have also constructed and investigated two different models of quantum dot probes. One by conjugation of nanocrystals to antibody specific to the selected marker—IL-10, and the second by use of streptavidin coated quantum dots and biotinylated detector antibody. Comparison of those two models showed better performance of streptavidin QD–biotinylated detector antibody model. Data quantitated using custom designed computer program (CDAS) show that proposed methodology allows monitoring of changes in biomarker concentration in physiological range.