Dexamethasone alters F-actin architecture and promotes cross-linked actin network formation in human trabecular meshwork tissue

Elevated intraocular pressure is an important risk factor for the development of glaucoma, a leading cause of irreversible blindness. This ocular hypertension is due to increased hydrodynamic resistance to the drainage of aqueous humor through specialized outflow tissues, including the trabecular meshwork (TM) and the endothelial lining of Schlemm's canal. We know that glucocorticoid therapy can cause increased outflow resistance and glaucoma in susceptible individuals, that the cytoskeleton helps regulate aqueous outflow resistance, and that glucocorticoid treatment alters the actin cytoskeleton of cultured TM cells. Our purpose was to characterize the actin cytoskeleton of cells in outflow pathway tissues in situ, to characterize changes in the cytoskeleton due to dexamethasone treatment in situ, and to compare these with changes observed in cell culture. Human ocular anterior segments were perfused with or without 10(-7) M dexamethasone, and F-actin architecture was investigated by confocal laser scanning microscopy. We found that outflow pathway cells contained stress fibers, peripheral actin staining, and occasional actin "tangles." Dexamethasone treatment caused elevated IOP in several eyes and increased overall actin staining, with more actin tangles and the formation of cross-linked actin networks (CLANs). The actin architecture in TM tissues was remarkably similar to that seen in cultured TM cells. Although CLANs have been reported previously in cultured cells, this is the first report of CLANs in tissue. These cytoskeletal changes may be associated with increased aqueous humor outflow resistance after ocular glucocorticoid treatment.     

Identification and characterisation of an Acinetobacter sp. capable of assimilation of a range of cyano-metal complexes,free cyanide ions and simple organic nitriles

Summary An Acinetobacter sp. strain RFB1 was shown to be capable of degrading a wide range of cyano-metal complexes, simple cyanide salts and simple organic nitrile compounds. The enzymatic activity responsible for this degradation was located in an extracellular lipid complex. This complex could not be resolved into the constitutive components under standard conditions without loss of activity. Offsprint requests to: I. Finnegan     

High-throughput phagocytosis assay utilizing a pH-sensitive fluorescent dye

We describe a development of a novel high-throughput phagocytosis assay based on a pH-sensitive cyanine dye, CypHer5E, which is maximally fluorescent in an acidic environment. This dye is ideally suited for the study of phagocytosis because of the acidic conditions generated in the intracellular phagocytic vesicles after particle uptake. Use of CypHer5E-labeled particles results in greatly reduced background from noninternalized particles and makes the assay more robust. Additionally, CypHer5E-labeled particles are resistant to fluorescence quenching observed in the aggressive and acidic environment of the phagosome with traditional dyes. The CypHer5E-based assay has been shown to work reliably in a variety of cell types, including primary human monocytes, primary human dendritic cells, primary human endothelial cells, human monocytic THP-1 cell line, and human/mouse hybrid macrophage cell line WBC264-9C. Inhibition of CypHer5E bead uptake by cytochalasin D was studied, and the 50% inhibition concentration (IC50) was determined. The assay was performed in 96- and 384-well formats, and it is appropriate for high-throughput cellular screening of processes and compounds affecting phagocytosis. The CypHer5E phagocytosis assay is superior to existing protocols because it allows easy distinction of true phagocytosis from particle adherence and can be used in microscopy-based measurement of phagocytosis.     

Extremely low levels of genetic polymorphism in endosymbionts (Buchnera) of aphids (Pemphigus)

Molecular evolutionary studies have suggested that vertically transmitted endosymbionts are subject to accumulation of deleterious mutations through genetic drift. Predictions of this hypothesis for patterns of intraspecific polymorphism were borne out in the single relevant study available, on the symbiont Buchnera aphidicola of Uroleucon ambrosiae. In order to examine the generality of this result, we surveyed DNA sequence variation in Buchnera of the distantly related aphid, Pemphigus obesinymphae. In contrast to Uroleucon species, Pemphigus species have complex life cycles with few dispersal stages. Despite these differences, P. obesinymphae showed patterns of variation at two Buchnera loci and one mitochondrial locus that were remarkably similar to those reported previously for Buchnera of U. ambrosiae. In the western US, Buchnera was nearly monomorphic, and in the eastern US, synonymous divergence ranged from 0.08 to 0.16%. Most polymorphisms involved rare alleles, consistent with a recent range of ancestral polymorphism, probably due to demographic fluctuations in aphid populations. These results support the generality of small effective population size in Buchnera and their aphid hosts.     

Population ecology, nonlinear dynamics, and social evolution. I. Associations among nonrelatives

Using an individual-based and genetically explicit simulation model, we explore the evolution of sociality within a population-ecology and nonlinear-dynamics framework. Assuming that individual fitness is a unimodal function of group size and that cooperation may carry a relative fitness cost, we consider the evolution of one-generation breeding associations among nonrelatives. We explore how parameters such as the intrinsic rate of growth and group and global carrying capacities may influence social evolution and how social evolution may, in turn, influence and be influenced by emerging group-level and population-wide dynamics. We find that group living and cooperation evolve under a wide range of parameter values, even when cooperation is costly and the interactions can be defined as altruistic. Greater levels of cooperation, however, did evolve when cooperation carried a low or no relative fitness cost. Larger group carrying capacities allowed the evolution of larger groups but also resulted in lower cooperative tendencies. When the intrinsic rate of growth was not too small and control of the global population size was density dependent, the evolution of large cooperative tendencies resulted in dynamically unstable groups and populations. These results are consistent with the existence and typical group sizes of organisms ranging from the pleometrotic ants to the colonial birds and the global population outbreaks and crashes characteristic of organisms such as the migratory locusts and the tree-killing bark beetles.     

Discovery of a novel series of 4-quinolone JNK inhibitors

A novel series of highly selective JNK inhibitors based on the 4-quinolone scaffold was designed and synthesized. Structure based drug design was utilized to guide the compound design as well as improvements in the physicochemical properties of the series. Compound (13c) has an IC₅₀ of 62/170 nM for JNK1/2, excellent kinase selectivity and impressive efficacy in a rodent asthma model.     

Phytophagous insect-microbe mutualisms and adaptive evolutionary diversification.

Adaptive diversification is a process intrinsically tied to species interactions. Yet, the influence of most types of interspecific interactions on adaptive evolutionary diversification remains poorly understood. In particular, the role of mutualistic interactions in shaping adaptive radiations has been largely unexplored, despite the ubiquity of mutualisms and increasing evidence of their ecological and evolutionary importance. Our aim here is to encourage empirical inquiry into the relationship between mutualism and evolutionary diversification, using herbivorous insects and their microbial mutualists as exemplars. Phytophagous insects have long been used to test theories of evolutionary diversification; moreover, the diversification of a number of phytophagous insect lineages has been linked to mutualisms with microbes. In this perspective, we examine microbial mutualist mediation of ecological opportunity and ecologically based divergent natural selection for their insect hosts. We also explore the conditions and mechanisms by which microbial mutualists may either facilitate or impede adaptive evolutionary diversification. These include effects on the availability of novel host plants or adaptive zones, modifying host-associated fitness trade-offs during host shifts, creating or reducing enemy-free space, and, overall, shaping the evolution of ecological (host plant) specialization. Although the conceptual framework presented here is built on phytophagous insect-microbe mutualisms, many of the processes and predictions are broadly applicable to other mutualisms in which host ecology is altered by mutualistic interactions.     

PHYTOPHAGOUS INSECT–MICROBE MUTUALISMS AND ADAPTIVE EVOLUTIONARY DIVERSIFICATION

Adaptive diversification is a process intrinsically tied to species interactions. Yet, the influence of most types of interspecific interactions on adaptive evolutionary diversification remains poorly understood. In particular, the role of mutualistic interactions in shaping adaptive radiations has been largely unexplored, despite the ubiquity of mutualisms and increasing evidence of their ecological and evolutionary importance. Our aim here is to encourage empirical inquiry into the relationship between mutualism and evolutionary diversification, using herbivorous insects and their microbial mutualists as exemplars. Phytophagous insects have long been used to test theories of evolutionary diversification; moreover, the diversification of a number of phytophagous insect lineages has been linked to mutualisms with microbes. In this perspective, we examine microbial mutualist mediation of ecological opportunity and ecologically based divergent natural selection for their insect hosts. We also explore the conditions and mechanisms by which microbial mutualists may either facilitate or impede adaptive evolutionary diversification. These include effects on the availability of novel host plants or adaptive zones, modifying host-associated fitness trade-offs during host shifts, creating or reducing enemy-free space, and, overall, shaping the evolution of ecological (host plant) specialization. Although the conceptual framework presented here is built on phytophagous insect–microbe mutualisms, many of the processes and predictions are broadly applicable to other mutualisms in which host ecology is altered by mutualistic interactions.     

integRATE: a desirability-based data integration framework for the prioritization of candidate genes across heterogeneous omics and its application to preterm birth

Background

The integration of high-quality, genome-wide analyses offers a robust approach to elucidating genetic factors involved in complex human diseases. Even though several methods exist to integrate heterogeneous omics data, most biologists still manually select candidate genes by examining the intersection of lists of candidates stemming from analyses of different types of omics data that have been generated by imposing hard (strict) thresholds on quantitative variables, such as P-values and fold changes, increasing the chance of missing potentially important candidates.

Methods

To better facilitate the unbiased integration of heterogeneous omics data collected from diverse platforms and samples, we propose a desirability function framework for identifying candidate genes with strong evidence across data types as targets for follow-up functional analysis. Our approach is targeted towards disease systems with sparse, heterogeneous omics data, so we tested it on one such pathology: spontaneous preterm birth (sPTB).

Results

We developed the software integRATE, which uses desirability functions to rank genes both within and across studies, identifying well-supported candidate genes according to the cumulative weight of biological evidence rather than based on imposition of hard thresholds of key variables. Integrating 10 sPTB omics studies identified both genes in pathways previously suspected to be involved in sPTB as well as novel genes never before linked to this syndrome. integRATE is available as an R package on GitHub (https://github.com/haleyeidem/integRATE).

Conclusions

Desirability-based data integration is a solution most applicable in biological research areas where omics data is especially heterogeneous and sparse, allowing for the prioritization of candidate genes that can be used to inform more targeted downstream functional analyses.