Independent Synchronized Control and Visualization of Interactions between Living Cells and Organisms

To investigate the early stages of cell-cell interactions occurring between living biological samples, imaging methods with appropriate spatiotemporal resolution are required. Among the techniques currently available, those based on optical trapping are promising. Methods to image trapped objects, however, in general suffer from a lack of three-dimensional resolution, due to technical constraints. Here, we have developed an original setup comprising two independent modules: holographic optical tweezers, which offer a versatile and precise way to move multiple objects simultaneously but independently, and a confocal microscope that provides fast three-dimensional image acquisition. The optical decoupling of these two modules through the same objective gives users the possibility to easily investigate very early steps in biological interactions. We illustrate the potential of this setup with an analysis of infection by the fungus Drechmeria coniospora of different developmental stages of Caenorhabditis elegans. This has allowed us to identify specific areas on the nematode’s surface where fungal spores adhere preferentially. We also quantified this adhesion process for different mutant nematode strains, and thereby derive insights into the host factors that mediate fungal spore adhesion.     

Independent Synchronized Control and Visualization of Interactions between Living Cells and Organisms

To investigate the early stages of cell-cell interactions occurring between living biological samples, imaging methods with appropriate spatiotemporal resolution are required. Among the techniques currently available, those based on optical trapping are promising. Methods to image trapped objects, however, in general suffer from a lack of three-dimensional resolution, due to technical constraints. Here, we have developed an original setup comprising two independent modules: holographic optical tweezers, which offer a versatile and precise way to move multiple objects simultaneously but independently, and a confocal microscope that provides fast three-dimensional image acquisition. The optical decoupling of these two modules through the same objective gives users the possibility to easily investigate very early steps in biological interactions. We illustrate the potential of this setup with an analysis of infection by the fungus Drechmeria coniospora of different developmental stages of Caenorhabditis elegans. This has allowed us to identify specific areas on the nematode’s surface where fungal spores adhere preferentially. We also quantified this adhesion process for different mutant nematode strains, and thereby derive insights into the host factors that mediate fungal spore adhesion.     

Molecular organization and dynamics of the melatonin MT1 receptor/RGS20/Gi protein complex reveal asymmetry of receptor dimers for RGS and Gi coupling

Functional asymmetry of G‐protein‐coupled receptor (GPCR) dimers has been reported for an increasing number of cases, but the molecular architecture of signalling units associated to these dimers remains unclear. Here, we characterized the molecular complex of the melatonin MT₁ receptor, which directly and constitutively couples to G_i proteins and the regulator of G‐protein signalling (RGS) 20. The molecular organization of the ternary MT₁/G_i/RGS20 complex was monitored in its basal and activated state by bioluminescence resonance energy transfer between probes inserted at multiple sites of the complex. On the basis of the reported crystal structures of G_i and the RGS domain, we propose a model wherein one G_i and one RGS20 protein bind to separate protomers of MT₁ dimers in a pre‐associated complex that rearranges upon agonist activation. This model was further validated with MT₁/MT₂ heterodimers. Collectively, our data extend the concept of asymmetry within GPCR dimers, reinforce the notion of receptor specificity for RGS proteins and highlight the advantage of GPCRs organized as dimers in which each protomer fulfils its specific task by binding to different GPCR‐interacting proteins.     

On the Use of Variance per Genotype as a Tool to Identify Quantitative Trait Interaction Effects: A Report from the Women's Genome Health Study

Testing for genetic effects on mean values of a quantitative trait has been a very successful strategy. However, most studies to date have not explored genetic effects on the variance of quantitative traits as a relevant consequence of genetic variation. In this report, we demonstrate that, under plausible scenarios of genetic interaction, the variance of a quantitative trait is expected to differ among the three possible genotypes of a biallelic SNP. Leveraging this observation with Levene''s test of equality of variance, we propose a novel method to prioritize SNPs for subsequent gene–gene and gene–environment testing. This method has the advantageous characteristic that the interacting covariate need not be known or measured for a SNP to be prioritized. Using simulations, we show that this method has increased power over exhaustive search under certain conditions. We further investigate the utility of variance per genotype by examining data from the Women''s Genome Health Study. Using this dataset, we identify new interactions between the LEPR SNP rs12753193 and body mass index in the prediction of C-reactive protein levels, between the ICAM1 SNP rs1799969 and smoking in the prediction of soluble ICAM-1 levels, and between the PNPLA3 SNP rs738409 and body mass index in the prediction of soluble ICAM-1 levels. These results demonstrate the utility of our approach and provide novel genetic insight into the relationship among obesity, smoking, and inflammation.     

Liver mitochondria and insulin resistance

With a steadily increasing prevalence, insulin resistance (IR) is a major public health issue. This syndrome is defined as a set of metabolic dysfunctions associated with, or contributing to, a range of serious health problems. These disorders include type 2 diabetes, metabolic syndrome, obesity, and non-alcoholic steatohepatitis (NASH). According to the literature in the field, several cell types like β-cell, myocyte, hepatocyte and/or adipocyte, as well as related complex signaling environment involved in peripheral insulin sensitivity are believed to be central in this pathology. Because of the central role of the liver in the whole-body energy homeostasis, liver insulin sensitivity and its potential relationship with mitochondrial oxidative phosphorylation appear to be crucial. The following short review highlights how liver mitochondria could be implicated in IR and should therefore be considered as a specific therapeutic target in the future.     

Size and Dynamics of the Vibrio cholerae Porins OmpU and OmpT Probed by Polymer Exclusion

The trimeric OmpU and OmpT porins form large, triple-barrel hydrophilic channels in the outer membrane of the pathogen Vibrio cholerae. They have distinct pore properties, such as conductance, block by deoxycholic acid, and sensitivity to acidic pH. Their three-dimensional structures are unknown, but they share significant sequence homologies. To gain insight into the molecular basis for the distinct functional properties of these two similar porins, we carried out polymer exclusion experiments using planar lipid bilayer and patch-clamp electrophysiology. By studying the partitioning of polyethylene glycols (PEGs) of different molecular weights into each porin, we determined an effective radius of 0.55 nm and 0.43 nm for OmpU and OmpT respectively, and found an increased OmpU effective radius at acidic pH. PEGs or high buffer ionic strength promotes the appearance of single step closures in OmpU similar to the acidic-pH induced closures we documented previously. In addition, these closing events can be triggered by nonpenetrating PEGs applied asymmetrically. We believe our results support a model whereby acidic pH, high ionic strength, or exposure to PEGs stabilizes a less conductive state that corresponds to the appearance of an additional resistive element on one side of the OmpU protein and common to the three monomers.     

On the spontaneous stochastic dynamics of a single gene: complexity of the molecular interplay at the promoter

Background  

Gene promoters can be in various epigenetic states and undergo interactions with many molecules in a highly transient, probabilistic and combinatorial way, resulting in a complex global dynamics as observed experimentally. However, models of stochastic gene expression commonly consider promoter activity as a two-state on/off system. We consider here a model of single-gene stochastic expression that can represent arbitrary prokaryotic or eukaryotic promoters, based on the combinatorial interplay between molecules and epigenetic factors, including energy-dependent remodeling and enzymatic activities.     

Predator inadvertent social information use favours reduced clumping of its prey

When animals forage socially, individuals can obtain prey from their own searching (producer tactic) or by using the behaviour of others (scrounger tactic) when it provides inadvertent social information (ISI) that food has been located. This ISI may either indicate the location of food (social information, SI), or it may indicate the quality of the resource (public information, PI). To date, few studies have explored the selective consequences for prey of being exploited by predators that use ISI. Prey exploited by such predators should evolve traits that favour high levels of ISI use (scrounging) because this would result in lower predator search efficiency given that fewer predators would be searching directly for the prey. Our simulations confirm that ISI‐using predators should increase their use of ISI when their prey form larger clumps resulting in higher prey survival. Our objective therefore is to explore whether prey will evolve towards higher clumpiness when their predators use ISI, using genetic algorithm simulation. The prey were subjected to one of three types of predators for over 500 prey generations. The predators either used: (1) no social information (NS), (2) SI only, or (3) PI. Surprisingly, the prey evolved the highest clumpiness for NS predators. Prey evolved towards smaller clump sizes with SI predators and the clumps were marginally larger when predators used PI. The result is due to the prey evolving the minimum clumpiness required to cause maximal ISI use by their predators. We discuss how this response by prey may favour the use of PI over SI in their ISI‐using predators.