Ischemic preconditioning regulates expression of microRNAs and a predicted target, MeCP2, in mouse cortex.

Preconditioning describes the ischemic stimulus that triggers an endogenous, neuroprotective response that protects the brain during a subsequent severe ischemic injury, a phenomenon known as 'tolerance'. Ischemic tolerance requires new protein synthesis, leads to genomic reprogramming of the brain's response to subsequent ischemia, and is transient. MicroRNAs (miRNAs) regulate posttranscriptional gene expression by exerting direct effects on messenger RNA (mRNA) translation. We examined miRNA expression in mouse cortex in response to preconditioning, ischemic injury, and tolerance. The results of our microarray analysis revealed that miRNA expression is consistently altered within each group, but that preconditioning was the foremost regulator of miRNAs. Our bioinformatic analysis results predicted that preconditioning-regulated miRNAs most prominently target mRNAs that encode transcriptional regulators; methyl-CpG binding protein 2 (MeCP2) was the most prominent target. No studies have linked MeCP2 to preconditioning or tolerance, yet miR-132, which regulates MeCP2 expression, is decreased in preconditioned cortex. Downregulation of miR-132 is consistent with our finding that preconditioning ischemia induces a rapid increase in MeCP2 protein, but not mRNA, in mouse cortex. These studies reveal that ischemic preconditioning regulates expression of miRNAs and their predicted targets in mouse brain cortex, and further suggest that miRNAs and MeCP2 could serve as effectors of ischemic preconditioning-induced tolerance.

Proteomic analysis of native metabotropic glutamate receptor 5 protein complexes reveals novel molecular constituents.

We used a proteomic approach to identify novel proteins that may regulate metabotropic glutamate receptor 5 (mGluR5) responses by direct or indirect protein interactions. This approach does not rely on the heterologous expression of proteins and offers the advantage of identifying protein interactions in a native environment. The mGluR5 protein was immunoprecipitated from rat brain lysates; co-immunoprecipitating proteins were analyzed by mass spectrometry and identified peptides were matched to protein databases to determine the correlating parent proteins. This proteomic approach revealed the interaction of mGluR5 with known regulatory proteins, as well as novel proteins that reflect previously unidentified molecular constituents of the mGluR5-signaling complex. Immunoblot analysis confirmed the interaction of high confidence proteins, such as phosphofurin acidic cluster sorting protein 1, microtubule-associated protein 2a and dynamin 1, as mGluR5-interacting proteins. These studies show that a proteomic approach can be used to identify candidate interacting proteins. This approach may be particularly useful for neurobiology applications where distinct protein interactions within a signaling complex can dramatically alter the outcome of the response to neurotransmitter release, or the disruption of normal protein interactions can lead to severe neurological and psychiatric disorders.

Three-dimensional quantitative structure-activity relationship modeling of cocaine binding by a novel human monoclonal antibody.

Human monoclonal antibodies (mAbs) designed for immunotherapy have a high potential for avoiding the complications that may result from human immune system responses to the introduction of nonhuman mAbs into patients. This study presents a characterization of cocaine/antibody interactions that determine the binding properties of the novel human sequence mAb 2E2 using three-dimensional quantitative structure-activity relationship (3D-QSAR) methodology. We have experimentally determined the binding affinities of mAb 2E2 for cocaine and 38 cocaine analogues. The K(d) of mAb 2E2 for cocaine was 4 nM, indicating a high affinity. Also, mAb 2E2 displayed good cocaine specificity, as reflected in its 10-, 1500-, and 25000-fold lower binding affinities for the three physiologically relevant cocaine metabolites benzoylecgonine, ecgonine methyl ester, and ecgonine, respectively. 3D-QSAR models of cocaine binding were developed by comparative molecular similarity index analysis (CoMSIA). A model of high statistical quality was generated showing that cocaine binds to mAb 2E2 in a sterically restricted binding site that leaves the methyl group attached to the ring nitrogen of cocaine solvent-exposed. The methyl ester group of cocaine appears to engage in attractive van der Waals interactions with mAb 2E2, whereas the phenyl group contributes to the binding primarily via hydrophobic interactions. The model further indicated that an increase in partial positive charge near the nitrogen proton and methyl ester carbonyl group enhances binding affinity and that the ester oxygen likely forms an intermolecular hydrogen bond with mAb 2E2. Overall, the cocaine binding properties of mAb 2E2 support its clinical potential for development as a treatment of cocaine overdose and addiction.

Three-dimensional quantitative structure-activity relationship analysis of ligand binding to human sequence antidigoxin monoclonal antibodies using comparative molecular field analysis.

The present study indicates that the newly generated human sequence antidigoxin monoclonal antibody (mAb), 1B3, binds digoxin with a different fine specificity binding than our previously obtained human sequence monoclonal antibodies (mAbs) (Ball, W. J.; et al. J. Immunol. 1999, 163, 2291-2298). Uniquely, 1B3 has a higher affinity for digitoxin than digoxin, the immunizing hapten, and a strong requirement for at least one sugar residue linked to the aglycone (-genin). By means of comparative molecular field analysis (CoMFA), the results of competition binding studies for 56 cardiotonic and hormonal steroids were employed to develop three-dimensional quantitative structure-activity relationship (3D-QSAR) models for ligand binding to 1B3 and to three additional human sequence mAbs, as well as the murine antidigoxin mAb 40-50 (Mudgett-Hunter, M.; et al. Mol. Immunol. 1985, 22, 447-488). All five 3D-QSAR models yielded cross-validated q(2) values greater than 0.5, which indicates that they have significant predictive ability. The CoMFA StDevCoeff contour plots, as well as the competition results, indicate that 1B3 binds ligands in a manner distinct from the other four mAbs. The CoMFA contour plots for 40-50 were also compared with the known X-ray crystallographic structure of the 40-50-ouabain complex (Jeffrey, P. D.; et al. J. Mol. Biol. 1995, 248, 344-360) in order to identify correlations between residues in the mAb binding site and specific contour plot regions. These 3D-QSAR models and their respective contour plots should be useful tools to further understand the molecular nature of antibody-antigen interactions and to aid in the redesign or enhancement of therapeutic antibodies.

Three-dimensional quantitative structure-activity relationship study of the inhibition of Na(+),K(+)-ATPase by cardiotonic steroids using comparative molecular field analysis.

Na(+),K(+)-ATPase is a transmembrane protein that transports sodium and potassium ions across cell membranes during an activity cycle that uses the energy released by ATP hydrolysis. Cardiotonic steroids (digitalis) inhibit this activity and consequently produce a positive inotropic response in the heart. To identify the structural features of the steroids that are important for this inhibition, we have tested the inhibitory properties of 47 cardiotonic and hormonal steroids and developed a three-dimensional quantitative structure-activity relationship (3D-QSAR) model for the inhibition of Na(+),K(+)-ATPase using comparative molecular field analysis (CoMFA). We also developed a 3D-QSAR model for the binding of digoxin to the murine anti-digoxin monoclonal antibody (mAb) 26-10 because we have previously shown that the environment of the binding sites of 26-10 and the enzyme are similar (Kasturi et al. (1998) Biochemistry 37, 6658-6666). These statistically predictive 3D-QSAR models indicate that both binding sites are about 20 A long and have a close fit or complementarity about the beta side of the lactone ring of digitalis. Furthermore, steric bulk about the lactone ring and the alpha sugar may be critical for drug binding. However, the binding site of Na(+),K(+)-ATPase differs from that of mAb in that it has a greater number of electrostatic interactions along the alpha-sugar, steroid, and lactone moieties. In addition, the availability of the structure of the 26-10 Fab-digoxin complex (Jeffrey et al. (1993) Proc. Natl. Acad. Sci. U.S.A. 90, 10310-10314) enabled us to compare the CoMFA-derived contour maps with the known locations for amino acid residues comprising the mAb ligand binding site.