The organic functional group in copper-containing amine oxidases. Resonance Raman spectra are consistent with the presence of topa quinone (6-hydroxydopa quinone) in the active site

Resonance Raman spectroscopy has been used to probe the structure of the organic cofactor in copper-containing amine oxidases from bovine plasma, porcine kidney, pea seedlings, and the bacterium Arthrobacter P1. The enzymes were first derivatized with phenylhydrazine or p-nitrophenylhydrazine; resonance Raman spectra were obtained on the intact derivatized enzymes and on a derivatized active-site peptide isolated from bovine plasma amine oxidase. Spectra of the intact amine oxidase phenylhydrazones are practically identical, consistent with the enzymes examined containing a similar cofactor. Only minor frequency shifts and some intensity variations are detected between the resonance Raman spectra of intact bovine plasma amine oxidase and the isolated peptide. These spectral perturbations are attributable to differences in the micro-environment between the intact, folded protein and the isolated small peptide in aqueous solution. This rules out the possibility that a new structure is formed during the isolation of the derivatized active-site peptide. Importantly, the resonance Raman spectra of the phenylhydrazine and p-nitrophenylhydrazine derivatives of the bovine plasma amine oxidase peptide are identical to the spectra of the corresponding derivatives of topa quinone (6-hydroxydopa quinone). Hence these data provide strong, independent support for the recent identification of topa as the organic functional group in bovine plasma amine oxidase (Janes, S. M., Mu, D., Wemmer, D., Smith, A. J., Kaur, S., Maltby, D., Burlingame, A. L., and Klinman, J.P. (1990) Science 248, 981-987).     

Pyrethroid insecticides: Actions of deltamethrin and related compounds on insect axonal sodium channels

The actions of deltamethrin and eight other pyrethroids were tested on isolated giant axons of the cockroach Periplaneta americana, using microelectrode and oil-gap, single-fibre electrophysiological recording techniques. Deltamethrin at micromolar concentrations induced a slow progressive depolarization of the axon membrane accompanied by a gradual reduction in action potential amplitude. The deltamethrin-induced depolarization was enhanced by an increase in stimulation frequency and was reduced in the presence of the sodium channel blocking agent saxitoxin (1 × 10^?7 M).Other synthetic pyrethroids (biopermethrin and its 1S enantiomer, biotetramethrin, s-bioallethrin, bioresmethrin and its 1S enantiomer, cismethrin and kadethrin) were also studied. In contrast to the findings with deltamethrin all other compounds, apart from the 1S isomers which were inactive, induced prolonged negative (depolarizing) after-potentials. Deltamethrin appears to affect a small fraction of sodium channels which are held in a modified open-state, whereas the pyrethroids which generate large negative after-potentials appear to induce a brief alteration of the open-state sodium channels with a larger number of channels affected. Differences between the actions of pyrethroids on insect axonal sodium channels and whole insects are discussed.     

Morphological and physiological responses to altitude in deer mice Peromyscus maniculatus.

Individuals within a species, living across a wide range of habitats, often display a great deal of phenotypic plasticity for organ mass and function. We investigated the extent to which changes in organ mass are variable, corresponding to environmental demand, across an altitudinal gradient. Are there changes in the mass of oxygen delivery organs (heart and lungs) and other central processing organs (gut, liver, kidney) associated with an increased sustainable metabolic rate that results from decreased ambient temperatures and decreased oxygen availability along an altitudinal gradient? We measured food intake, resting metabolic rate (RMR), and organ mass in captive deer mice (Peromyscus maniculatus bairdii) at three sites from 1,200 to 3,800 m above sea level to determine whether energy demand was correlated with organ mass. We found that food intake, gut mass, and cardiopulmonary organ mass increased in mice living at high altitudes. RMR was not correlated with organ mass differences along the altitudinal gradient. While the conditions in this study were by no means extreme, these results show that mice living at high altitudes have higher levels of energy demand and possess larger cardiopulmonary and digestive organs than mice living at lower altitudes.     

Landscape drivers of genomic diversity and divergence in woodland Eucalyptus

Spatial genetic patterns are influenced by numerous factors, and they can vary even among coexisting, closely related species due to differences in dispersal and selection. Eucalyptus (L'Héritier 1789; the “eucalypts”) are foundation tree species that provide essential habitat and modulate ecosystem services throughout Australia. Here we present a study of landscape genomic variation in two woodland eucalypt species, using whole‐genome sequencing of 388 individuals of Eucalyptus albens and Eucalyptus sideroxylon. We found exceptionally high genetic diversity (π ≈ 0.05) and low genome‐wide, interspecific differentiation (F_ST = 0.15) and intraspecific differentiation between localities (F_ST ≈ 0.01–0.02). We found no support for strong, discrete population structure, but found substantial support for isolation by geographic distance (IBD) in both species. Using generalized dissimilarity modelling, we identified additional isolation by environment (IBE). Eucalyptus albens showed moderate IBD, and environmental variables have a small but significant amount of additional predictive power (i.e. IBE). Eucalyptus sideroxylon showed much stronger IBD and moderate IBE. These results highlight the vast adaptive potential of these species and set the stage for testing evolutionary hypotheses of interspecific adaptive differentiation across environments.     

Insights into latent class analysis of diagnostic test performance

Latent class analysis is used to assess diagnostic test accuracy when a gold standard assessment of disease is not available but results of multiple imperfect tests are. We consider the simplest setting, where 3 tests are observed and conditional independence (CI) is assumed. Closed-form expressions for maximum likelihood parameter estimates are derived. They show explicitly how observed 2- and 3-way associations between test results are used to infer disease prevalence and test true- and false-positive rates. Although interesting and reasonable under CI, the estimators clearly have no basis when it fails. Intuition for bias induced by conditional dependence follows from the analytic expressions. Further intuition derives from an Expectation Maximization (EM) approach to calculating the estimates. We discuss implications of our results and related work for settings where more than 3 tests are available. We conclude that careful justification of assumptions about the dependence between tests in diseased and nondiseased subjects is necessary in order to ensure unbiased estimates of prevalence and test operating characteristics and to provide these estimates clinical interpretations. Such justification must be based in part on a clear clinical definition of disease and biological knowledge about mechanisms giving rise to test results.     

Tiered Categorization of a Diverse Panel of HIV-1 Env Pseudoviruses for Assessment of Neutralizing Antibodies

The restricted neutralization breadth of vaccine-elicited antibodies is a major limitation of current human immunodeficiency virus-1 (HIV-1) candidate vaccines. In order to permit the efficient identification of vaccines with enhanced capacity for eliciting cross-reactive neutralizing antibodies (NAbs) and to assess the overall breadth and potency of vaccine-elicited NAb reactivity, we assembled a panel of 109 molecularly cloned HIV-1 Env pseudoviruses representing a broad range of genetic and geographic diversity. Viral isolates from all major circulating genetic subtypes were included, as were viruses derived shortly after transmission and during the early and chronic stages of infection. We assembled a panel of genetically diverse HIV-1-positive (HIV-1⁺) plasma pools to assess the neutralization sensitivities of the entire virus panel. When the viruses were rank ordered according to the average sensitivity to neutralization by the HIV-1⁺ plasmas, a continuum of average sensitivity was observed. Clustering analysis of the patterns of sensitivity defined four subgroups of viruses: those having very high (tier 1A), above-average (tier 1B), moderate (tier 2), or low (tier 3) sensitivity to antibody-mediated neutralization. We also investigated potential associations between characteristics of the viral isolates (clade, stage of infection, and source of virus) and sensitivity to NAb. In particular, higher levels of NAb activity were observed when the virus and plasma pool were matched in clade. These data provide the first systematic assessment of the overall neutralization sensitivities of a genetically and geographically diverse panel of circulating HIV-1 strains. These reference viruses can facilitate the systematic characterization of NAb responses elicited by candidate vaccine immunogens.The development of an HIV-1 vaccine that can elicit protective humoral and cellular immunity is one of the highest priorities in the global fight against HIV/AIDS (2, 44). Data from lentiviral animal models suggest that antibodies capable of neutralizing primary strains of HIV-1 may have the capacity to prevent HIV-1 infection (1, 28, 30, 35). However, the ability to design immunogens that can elicit such broadly reactive neutralizing antibodies (NAbs) has proven to be a formidable obstacle, due in part to the extensive genetic diversity of HIV-1 and the complex escape mechanisms employed by the envelope gp120 and gp41 glycoproteins that form the trimeric viral envelope spike (Env) (20, 34, 45). As improved vaccine immunogens enter the stage of detailed preclinical analysis, the in vitro assays used for evaluating vaccine sera will need to detect incremental advances in the magnitude, breadth, and durability of NAb responses (37). Such data can then be used to distinguish and prioritize among antibody-based vaccine immunogens. Furthermore, highly reproducible and quantitative data on vaccine-elicited NAbs can enhance our understanding of the relationship between Env immunogen design and the resulting antibody response generated.Current recommendations for evaluating candidate vaccine sera for NAb activity include the use of standard reference panels of molecularly cloned HIV-1 Env pseudoviruses and a tiered algorithm of testing (27). Reference virus panels should represent genetically and geographically diverse subsets of viruses with neutralization phenotypes that are generally representative of primary isolate strains that a vaccine would need to protect against. As such, standard reference panels for HIV-1 subtypes B and C have been described (22, 23), and efforts continue toward the creation of virus reference panels representing additional genetic subtypes. For tiered evaluation of NAb activity, vaccine sera are first tested against homologous Env pseudoviruses and/or a small number of isolates that are known to be highly sensitive to antibody-mediated neutralization (commonly referred to as tier 1 viruses). A more rigorous assessment of the potency and breadth of vaccine-induced NAbs entails testing against more resistant reference panel viruses (commonly referred to as tier 2 viruses) that are either matched or mismatched in genetic subtype to the vaccine immunogen (second and third tiers of testing, respectively). This tiered approach for testing candidate HIV-1 vaccine sera is advantageous in that it provides increasingly stringent levels for assessing the potency and breadth of NAbs, uses standardized panels of reference viruses for consistency and reproducibility, and allows for the generation of comparative data sets for evaluating different candidate vaccine regimens.While the tiered algorithm for evaluating vaccine sera has gained acceptance in the field, a major limitation has been the lack of objective data to characterize HIV-1 Env pseudoviruses according to their overall sensitivity or resistance to antibody-mediated neutralization. The category of sensitive, tier 1 viruses arose in part from the observation that HIV-1 isolates passaged through T-cell lines often become highly sensitive to antibody-mediated neutralization (33). Compared to these laboratory-adapted viruses, most primary isolate strains are moderately resistant to NAbs. Yet, even among recently isolated circulating viral Envs, there is a wide spectrum of neutralization sensitivity. Some HIV-1 isolates have a neutralization phenotype closer to that of tier 1 viruses, while others appear to be quite neutralization resistant (6, 19, 22, 23). Overall, there are few data from which to understand or categorize the viral neutralization phenotypes of HIV-1 strains. As a result, we have a limited ability to assess the potential potency of vaccine-elicited NAbs or to estimate the percentage of circulating HIV-1 isolates that would be neutralized. Further categorization of isolates into distinct subgroups based on sensitivity to NAbs may reveal patterns of neutralization that could provide a greater understanding of the NAb response generated by current and future vaccine immunogens. In addition, the structure-based design of novel immunogens may be facilitated by an ability to monitor the types of viruses neutralized and to specifically map the viral epitopes targeted by vaccine-elicited NAbs.In this study, we assembled a diverse panel of 109 HIV-1 Env pseudoviruses, including multiple representatives from clades A, B, and C and circulating recombinant forms (CRFs) CRF07_BC and CRF02_AG-related. These were tested for their sensitivities using HIV-1-positive (HIV-1⁺) plasma samples representative of clades A, B, and C and CRF01_AE and CRF02_AG. Clinical, demographic, and viral genetic sequence data were collected for each virus. The neutralization phenotype of each virus was assessed with a panel of seven clade-specific HIV-1⁺ plasma pools. Viruses were rank ordered according to average neutralization sensitivity, and k-means clustering was utilized to identify four subgroups of viruses with neutralization phenotypes ranging from highly sensitive to resistant. Together, these results will improve the ability to rigorously evaluate antibody-based HIV-1 vaccines and will facilitate the interpretation of assay results to identify immunogens with improved capacity to elicit broadly cross-reactive NAbs.     

Analysing the ability to retain sidechain hydrogen-bonds in mutant proteins

MOTIVATION: Hydrogen bonds are one of the most important inter-atomic interactions in biology. Previous experimental, theoretical and bioinformatics analyses have shown that the hydrogen bonding potential of amino acids is generally satisfied and that buried unsatisfied hydrogen-bond-capable residues are destabilizing. When studying mutant proteins, or introducing mutations to residues involved in hydrogen bonding, one needs to know whether a hydrogen bond can be maintained. Our aim, therefore, was to develop a rapid method to evaluate whether a sidechain can form a hydrogen-bond. RESULTS: A novel knowledge-based approach was developed in which the conformations accessible to the residues involved are taken into account. Residues involved in hydrogen bonds in a set of high resolution crystal structures were analyzed and this analysis is then applied to a given protein. The program was applied to assess mutations in the tumour-suppressor protein, p53. This raised the number of distinct mutations identified as disrupting sidechain-sidechain hydrogen bonding from 181 in our previous analysis to 202 in this analysis.     

Analyses of circular dichroism spectra of membrane proteins

Circular dichroism (CD) spectroscopy is a valuable technique for the determination of protein secondary structures. Many linear and nonlinear algorithms have been developed for the empirical analysis of CD data, using reference databases derived from proteins of known structures. To date, the reference databases used by the various algorithms have all been derived from the spectra of soluble proteins. When applied to the analysis of soluble protein spectra, these methods generally produce calculated secondary structures that correspond well with crystallographic structures. In this study, however, it was shown that when applied to membrane protein spectra, the resulting calculations produce considerably poorer results. One source of this discrepancy may be the altered spectral peak positions (wavelength shifts) of membrane proteins due to the different dielectric of the membrane environment relative to that of water. These results have important consequences for studies that seek to use the existing soluble protein reference databases for the analyses of membrane proteins.