Synthesis and biological properties of 4-norleucine-neuropeptide Y; secondary structure of neuropeptide Y

Neuropeptide Y (NPY) is a 36 amino acid peptide amide isolated from porcine brain. The NPY analog, 4-norleucine-NPY was synthesized by a solid-phase method and purified to homogeneity in 20% yield by reverse-phase chromatography. Investigation of the biological properties indicated that the analog is an agonist of NPY. Secondary structural analyses revealed that NPY and the analog exhibited predominantly alpha-helical and beta-sheet structures, respectively; however, experiments in trifluoroethanol indicated that the analog has the potential of assuming an alpha-helical structure. Based on circular dichroism (CD), Raman spectroscopy and Chou-Fasman analyses, a model has been proposed for the secondary structure of NPY.     

The cleavage of DNA at phosphorothioate internucleotidic linkages by DNA gyrase.

We have constructed a plasmid which contains 22 copies of a 147 bp DNA fragment which contains the major DNA gyrase cleavage site from plasmid pBR322 (located at base-pair 990). We have found that this fragment is efficiently bound and cleaved by gyrase. The selectivity for the sequence corresponding to position 990 in pBR322 is maintained even when this site is located only 15 bp from one end of the 147 bp fragment. A strategy for the specific incorporation of a single thiophosphoryl linkage into the 147 bp fragment has been developed, and gyrase has been shown to catalyse efficient cleavage of fragments bearing phosphorothioate linkages at the gyrase cleavage site in one or both strands.     

Positive correlation between cytosolic free calcium and surfactant secretion in cultured rat alveolar type II cells

To determine whether increases in the cytosolic free Ca2+ concentration ([Ca2+]i) accompany agonist-stimulated surfactant secretion by cultured alveolar type II cells, we measured the [Ca2+]i of quin2-loaded cells isolated from adult rats before and after cells were stimulated with ionomycin, terbutaline or tetradecanoylphorbol acetate (TPA). To determine whether increases in [Ca2+]i are necessary for stimulated surfactant secretion to occur, we measured secretion in cells after [Ca2+]i had been reduced by loading cells with quin2 in medium containing low [Ca2+]. Ionomycin increased [Ca2+]i and stimulated surfactant secretion in a dose-dependent manner. Reductions in [Ca2+]i correlated with reductions in secretion stimulated by ionomycin, terbutaline or TPA. Ionomycin-stimulated secretion was most sensitive to reductions in [Ca2+]i; terbutaline-stimulated secretion was more sensitive than TPA-stimulated secretion. When [Ca2+]i was less than 65 nM, all stimulated secretion was blocked. Restoration of [Ca2+]i to greater than 100 nM restored ionomycin-stimulated secretion. We conclude that ionomycin increases [Ca2+]i and stimulates surfactant secretion in cultured alveolar type II cells, and that increased [Ca2+]i appears to be necessary for ionomycin-stimulated secretion to occur. Terbutaline-stimulated surfactant secretion seems to be more easily inhibited by a reduction in [Ca2+]i than does TPA-stimulated secretion.     

Mean Recency Period for Estimation of HIV-1 Incidence with the BED-Capture EIA and Bio-Rad Avidity in Persons Diagnosed in the United States with Subtype B

HIV incidence estimates are used to monitor HIV-1 infection in the United States. Use of laboratory biomarkers that distinguish recent from longstanding infection to quantify HIV incidence rely on having accurate knowledge of the average time that individuals spend in a transient state of recent infection between seroconversion and reaching a specified biomarker cutoff value. This paper describes five estimation procedures from two general statistical approaches, a survival time approach and an approach that fits binomial models of the probability of being classified as recently infected, as a function of time since seroconversion. We compare these procedures for estimating the mean duration of recent infection (MDRI) for two biomarkers used by the U.S. National HIV Surveillance System for determination of HIV incidence, the Aware BED EIA HIV-1 incidence test (BED) and the avidity-based, modified Bio-Rad HIV-1/HIV-2 plus O ELISA (BRAI) assay. Collectively, 953 specimens from 220 HIV-1 subtype B seroconverters, taken from 5 cohorts, were tested with a biomarker assay. Estimates of MDRI using the non-parametric survival approach were 198.4 days (SD 13.0) for BED and 239.6 days (SD 13.9) for BRAI using cutoff values of 0.8 normalized optical density and 30%, respectively. The probability of remaining in the recent state as a function of time since seroconversion, based upon this revised statistical approach, can be applied in the calculation of annual incidence in the United States.     

Partner-specific prediction of RNA-binding residues in proteins: A critical assessment

RNA-protein interactions play essential roles in regulating gene expression. While some RNA-protein interactions are “specific”, that is, the RNA-binding proteins preferentially bind to particular RNA sequence or structural motifs, others are “non-RNA specific.” Deciphering the protein-RNA recognition code is essential for comprehending the functional implications of these interactions and for developing new therapies for many diseases. Because of the high cost of experimental determination of protein-RNA interfaces, there is a need for computational methods to identify RNA-binding residues in proteins. While most of the existing computational methods for predicting RNA-binding residues in RNA-binding proteins are oblivious to the characteristics of the partner RNA, there is growing interest in methods for partner-specific prediction of RNA binding sites in proteins. In this work, we assess the performance of two recently published partner-specific protein-RNA interface prediction tools, PS-PRIP, and PRIdictor, along with our own new tools. Specifically, we introduce a novel metric, RNA-specificity metric (RSM), for quantifying the RNA-specificity of the RNA binding residues predicted by such tools. Our results show that the RNA-binding residues predicted by previously published methods are oblivious to the characteristics of the putative RNA binding partner. Moreover, when evaluated using partner-agnostic metrics, RNA partner-specific methods are outperformed by the state-of-the-art partner-agnostic methods. We conjecture that either (a) the protein-RNA complexes in PDB are not representative of the protein-RNA interactions in nature, or (b) the current methods for partner-specific prediction of RNA-binding residues in proteins fail to account for the differences in RNA partner-specific versus partner-agnostic protein-RNA interactions, or both.     

Comparison of a T cell clone and of T cells from a TCR transgenic mouse: TCR transgenic T cells specific for self-antigen are atypical

It has been widely assumed that T cells from TCR-transgenic (Tg) mice better represent the behavior of T cells from normal mice than do in vitro cultures of T cell clones. We have found that autoreactive T cells arising in the presumably more physiological environment of the BDC-2.5 TCR-Tg mouse, despite being apparently "naive" in surface phenotype, are highly activated functionally and do not resemble CD4(+) T cells from a spontaneously diabetic nonobese diabetic (NOD) mouse or the NOD-derived, diabetogenic CD4(+) T cell clone of origin, BDC-2.5. Our results suggest that autoreactive T cells cloned from the spontaneously diabetic NOD mouse more closely resemble effector T cells arising during the natural disease process.     

Predicting binding sites of hydrolase-inhibitor complexes by combining several methods

Background

Protein-protein interactions play a critical role in protein function. Completion of many genomes is being followed rapidly by major efforts to identify interacting protein pairs experimentally in order to decipher the networks of interacting, coordinated-in-action proteins. Identification of protein-protein interaction sites and detection of specific amino acids that contribute to the specificity and the strength of protein interactions is an important problem with broad applications ranging from rational drug design to the analysis of metabolic and signal transduction networks.

Results

In order to increase the power of predictive methods for protein-protein interaction sites, we have developed a consensus methodology for combining four different methods. These approaches include: data mining using Support Vector Machines, threading through protein structures, prediction of conserved residues on the protein surface by analysis of phylogenetic trees, and the Conservatism of Conservatism method of Mirny and Shakhnovich. Results obtained on a dataset of hydrolase-inhibitor complexes demonstrate that the combination of all four methods yield improved predictions over the individual methods.

Conclusions

We developed a consensus method for predicting protein-protein interface residues by combining sequence and structure-based methods. The success of our consensus approach suggests that similar methodologies can be developed to improve prediction accuracies for other bioinformatic problems.