In silico study predicts a key role of RNA-binding domains 3 and 4 in nucleolin-miRNA interactions.

RNA binding proteins (RBPs) regulate many important cellular processes through their interactions with RNA molecules. RBPs are critical for posttranscriptional mechanisms keeping gene regulation in a fine equilibrium. Conversely, dysregulation of RBPs and RNA metabolism pathways is an established hallmark of tumorigenesis. Human nucleolin (NCL) is a multifunctional RBP that interacts with different types of RNA molecules, in part through its four RNA binding domains (RBDs). Particularly, NCL interacts directly with microRNAs (miRNAs) and is involved in their aberrant processing linked with many cancers, including breast cancer. Nonetheless, molecular details of the NCL-miRNA interaction remain obscure. In this study, we used an in silico approach to characterize how NCL targets miRNAs and whether this specificity is imposed by a definite RBD-interface. Here, we present structural models of NCL-RBDs and miRNAs, as well as predict scenarios of NCL-miRNA interactions generated using docking algorithms. Our study suggests a predominant role of NCL RBDs 3 and 4 (RBD3-4) in miRNA binding. We provide detailed analyses of specific motifs/residues at the NCL-substrate interface in both these RBDs and miRNAs. Finally, we propose that the evolutionary emergence of more than two RBDs in NCL in higher organisms coincides with its additional role/s in miRNA processing. Our study shows that RBD3-4 display sequence/structural determinants to specifically recognize miRNA precursor molecules. Moreover, the insights from this study can ultimately support the design of novel antineoplastic drugs aimed at regulating NCL-dependent biological pathways with a causal role in tumorigenesis.

Proteomic Tools for the Analysis of Cytoskeleton Proteins.

Proteomic analyses have become an essential part of the toolkit of the molecular biologist, given the widespread availability of genomic data and open source or freely accessible bioinformatics software. Tools are available for detecting homologous sequences, recognizing functional domains, and modeling the three-dimensional structure for any given protein sequence, as well as for predicting interactions with other proteins or macromolecules. Although a wealth of structural and functional information is available for many cytoskeletal proteins, with representatives spanning all of the major subfamilies, the majority of cytoskeletal proteins remain partially or totally uncharacterized. Moreover, bioinformatics tools provide a means for studying the effects of synthetic mutations or naturally occurring variants of these cytoskeletal proteins. This chapter discusses various freely available proteomic analysis tools, with a focus on in silico prediction of protein structure and function. The selected tools are notable for providing an easily accessible interface for the novice while retaining advanced functionality for more experienced computational biologists.

Interaction of ferritin iron responsive element (IRE) mRNA with translation initiation factor eIF4F.

The interaction of ferritin iron responsive element (IRE) mRNA with eIF4F was examined by fluorescence and circular dichroism spectroscopy. Fluorescence quenching data indicated that eIF4F contains one high affinity binding site for ferritin IRE RNA. The Scatchard analysis revealed strong binding affinity (Ka = 11.1 × 107 M-1) and binding capacity (n = 1.0) between IRE RNA and eIF4F. The binding affinity of IRE RNA for eIF4F decreased (~4-fold) as temperature increased (from 5 °C to 30 °C). The van't Hoff analysis revealed that IRE RNA binding to eIF4F is enthalpy-driven (ΔH = -47.1 ± 3.4 kJ/mol) and entropy-opposed (ΔS = -30.1 ± 1.5 J/mol/K). The addition of iron increased the enthalpic, while decreasing the entropic contribution towards the eIF4F•IRE RNA complex, resulting in favorable free energy (ΔG = -49.8 ± 2.8 kJ/mol). Thermodynamic values and ionic strength data suggest that the presence of iron increases hydrogen bonding and decreases hydrophobic interactions, leading to formation of a more stable complex. The interaction of IRE RNA with eIF4F at higher concentrations produced significant changes in the secondary structure of the protein, as revealed from the far-UV CD results, clearly illustrating the structural alterations resulted from formation of the eIF4F•IRE RNA complex. A Lineweaver-Burk plot showed an uncompetitive binding behavior between IRE RNA and m7G cap for the eIF4F, indicating that there are different binding sites on the eIF4F for the IRE RNA and the cap analog; molecular docking analysis further supports this notion. Our findings suggest that the eIF4F•IRE RNA complex formation is accompanied by an elevated hydrogen bonding and weakened hydrophobic interactions, leading to an overall conformational change, favored in terms of its free energy. The conformational change in the eIF4F structure, caused by the IRE RNA binding, provides a more stable platform for effective IRE translation in iron homeostasis.

A polyaniline based ultrasensitive potentiometric immunosensor for cardiac troponin complex detection.

An ultrasensitive immunosensor based on potentiometric ELISA for the detection of a cardiac biomarker, troponin I-T-C (Tn I-T-C) complex, was developed. The sensor fabrication involves typical sandwich ELISA procedures, while the final signal readout was achieved using open circuit potentiometry (OCP). Glassy carbon (GC) working electrodes were first coated with emulsion-polymerized polyaniline/dinonylnaphthalenesulfonic acid (PANI/DNNSA) and the coated surface was utilized as a transducer layer on which sandwich ELISA incubation steps were performed. An enzymatic reaction between o-phenylenediamine (OPD) and hydrogen peroxide (H2O2) was catalyzed by horseradish peroxidase (HRP) labeled on the secondary antibodies. The polymer transducer charged state was mediated through electron (e(-)) and charge transfers between the transducer and charged species generated by the same enzymatic reaction. Such a change in the polymer transducer led to potential variations against an Ag/AgCl reference electrode as a function of Tn I-T-C complex concentration during incubations. The sequence of OPD and H2O2 additions, electrochemical properties of the PANI/DNNSA layer and non-specific binding prevention were all crucial factors for the assay performance. Under optimized conditions, the assay has a low limit of detection (LOD) (< 5 pg/mL or 56 fM), a wide dynamic range (> 6 orders of magnitude), high repeatability (coefficient of variance < 8% for all concentrations higher than 5 pg/mL) and a short detection time (< 10 min).