Modeling the Time Evolution of the Nanoparticle-Protein Corona in a Body Fluid

Background

Nanoparticles in contact with biological fluids interact with proteins and other biomolecules, thus forming a dynamic corona whose composition varies over time due to continuous protein association and dissociation events. Eventually equilibrium is reached, at which point the continued exchange will not affect the composition of the corona.

Results

We developed a simple and effective dynamic model of the nanoparticle protein corona in a body fluid, namely human plasma. The model predicts the time evolution and equilibrium composition of the corona based on affinities, stoichiometries and rate constants. An application to the interaction of human serum albumin, high density lipoprotein (HDL) and fibrinogen with 70 nm N-iso-propylacrylamide/N-tert-butylacrylamide copolymer nanoparticles is presented, including novel experimental data for HDL.

Conclusions

The simple model presented here can easily be modified to mimic the interaction of the nanoparticle protein corona with a novel biological fluid or compartment once new data will be available, thus opening novel applications in nanotoxicity and nanomedicine.     

Expression of NADH-oxidases enhances ethylene productivity in <Emphasis Type="Italic">Saccharomyces cerevisiae</Emphasis> expressing the bacterial EFE

Ethylene is a major petrochemical for which biotechnological production methods are an attractive alternative. Here we use a system based on a bacterial ethylene forming enzyme (EFE) expressed in Saccharomyces cerevisiae. Metabolic modelling performed in a previous study identified re-oxidation of NADH as a factor limiting ethylene production in S. cerevisiae. In line with this, we here found that strains with multicopy plasmid expression of the heterologous oxidases nox and Aox1 led to significantly increased specific ethylene productivity, up 12 and 36%, respectively, compared to the control strain with empty plasmid. However the productivity and yield was only improved in the AOX expressing strain compared to that of the control strain. Both oxidase expressing strains also exhibited increased respiration rates compared to the reference strain, with specific oxygen consumption rates being roughly doubled in both strains. The AOX strain furthermore exhibited a significant increase in the EFE substrate 2-oxoglutarate formation compared to the reference strain, linking an improvement in ethylene production to both increased respiratory capacity and increased substrate availability, thereby corroborating our previous finding.     

Induced Variations in Brassinosteroid Genes Define Barley Height and Sturdiness,and Expand the Green Revolution Genetic Toolkit

Reduced plant height and culm robustness are quantitative characteristics important for assuring cereal crop yield and quality under adverse weather conditions. A very limited number of short-culm mutant alleles were introduced into commercial crop cultivars during the Green Revolution. We identified phenotypic traits, including sturdy culm, specific for deficiencies in brassinosteroid biosynthesis and signaling in semidwarf mutants of barley (Hordeum vulgare). This set of characteristic traits was explored to perform a phenotypic screen of near-isogenic short-culm mutant lines from the brachytic, breviaristatum, dense spike, erectoides, semibrachytic, semidwarf, and slender dwarf mutant groups. In silico mapping of brassinosteroid-related genes in the barley genome in combination with sequencing of barley mutant lines assigned more than 20 historic mutants to three brassinosteroid-biosynthesis genes (BRASSINOSTEROID-6-OXIDASE, CONSTITUTIVE PHOTOMORPHOGENIC DWARF, and DIMINUTO) and one brassinosteroid-signaling gene (BRASSINOSTEROID-INSENSITIVE1 [HvBRI1]). Analyses of F2 and M2 populations, allelic crosses, and modeling of nonsynonymous amino acid exchanges in protein crystal structures gave a further understanding of the control of barley plant architecture and sturdiness by brassinosteroid-related genes. Alternatives to the widely used but highly temperature-sensitive uzu1.a allele of HvBRI1 represent potential genetic building blocks for breeding strategies with sturdy and climate-tolerant barley cultivars.The introduction of dwarfing genes to increase culm sturdiness of cereal crops was crucial for the first Green Revolution (Hedden, 2003). The culms of tall cereal crops were not strong enough to support the heavy spikes of high-yielding cultivars, especially under high-nitrogen conditions. As a result, plants fell over, a process known as lodging. This caused losses in yield and grain-quality issues attributable to fungal infections, mycotoxin contamination, and preharvest germination (Rajkumara, 2008). Today, a second Green Revolution is on its way, to revolutionize the agricultural sector and to ensure food production for a growing world population. Concurrently, global climate change is expected to cause more frequent occurrences of extreme weather conditions, including thunderstorms with torrential rain and strong winds, thus promoting cereal culm breakage (Porter and Semenov, 2005; National Climate Assessment Development Advisory Committee, 2013). Accordingly, plant architectures that resist lodging remain a major crop-improvement goal and identification of genes that regulate culm length is required to enhance the genetic toolbox in order to facilitate efficient marker-assisted breeding. The mutations and the corresponding genes that enabled the Green Revolution in wheat (Triticum aestivum) and rice (Oryza sativa) have been identified (Hedden, 2003). They all relate to gibberellin metabolism and signal transduction. It is now known that other plant hormones such as brassinosteroids are also involved in the regulation of plant height. Knowledge of the molecular mechanisms underlying the effects of the two hormones on cell elongation and division has mainly come from studies in Arabidopsis (Arabidopsis thaliana; Bai et al., 2012). Mutant-based breeding strategies to fine-tune brassinosteroid metabolism and signaling pathways could improve lodging behavior in modern crops (Vriet et al., 2012) such as barley (Hordeum vulgare), which is the fourth most abundant cereal in both area and tonnage harvested (http://faostat.fao.org).A short-culm phenotype in crops is often accompanied by other phenotypic changes. Depending on the penetrance of such pleiotropic characters, but also the parental background and different scientific traditions and expertise, short-culmed barley mutants were historically divided into groups, such as brachytic (brh), breviaristatum (ari), dense spike (dsp), erectoides (ert), semibrachytic (uzu), semidwarf (sdw), or slender dwarf (sld; Franckowiak and Lundqvist, 2012). Subsequent mutant characterization was limited to intragroup screens and very few allelism tests between mutants from different groups have been reported (Franckowiak and Lundqvist, 2012). Although the total number of short-culm barley mutants exceeds 500 (Franckowiak and Lundqvist, 2012), very few have been characterized at the DNA level (Helliwell et al., 2001; Jia et al., 2009; Chandler and Harding, 2013; Houston et al., 2013). One of the first identified haplotypes was uzu barley (Chono et al., 2003). The Uzu1 gene encodes the brassinosteroid hormone receptor and is orthologous to the BRASSINOSTEROID-INSENSITIVE1 (BRI1) gene of Arabidopsis, a crucial promoter of plant growth (Li and Chory, 1997). The uzu1.a allele has been used in East Asia for over a century and is presently distributed in winter barley cultivars in Japan, the Korean peninsula, and China (Saisho et al., 2004). Its agronomic importance comes from the short and sturdy culm that provides lodging resistance, and an upright plant architecture that tolerates dense planting.Today, more than 50 different brassinosteroids have been identified in plants (Bajguz and Tretyn, 2003). Most are intermediates of the complex biosynthetic pathway (Shimada et al., 2001). Approximately nine genes code for the enzymes that participate in the biosynthetic pathway from episterol to brassinolide (Supplemental Fig. S1). Brassinosteroid deficiency is caused by down-regulation of these genes, but it can also be associated with brassinosteroid signaling. The first protein in the signaling network is the brassinosteroid receptor encoded by BRI1 (Li and Chory, 1997; Kim and Wang, 2010). In this work, we show how to visually identify brassinosteroid-mutant barley plants and we describe more than 20 relevant mutations in four genes of the brassinosteroid biosynthesis and signaling pathways that can be used in marker-assisted breeding strategies.     

A human protein atlas for normal and cancer tissues based on antibody proteomics

Antibody-based proteomics provides a powerful approach for the functional study of the human proteome involving the systematic generation of protein-specific affinity reagents. We used this strategy to construct a comprehensive, antibody-based protein atlas for expression and localization profiles in 48 normal human tissues and 20 different cancers. Here we report a new publicly available database containing, in the first version, approximately 400,000 high resolution images corresponding to more than 700 antibodies toward human proteins. Each image has been annotated by a certified pathologist to provide a knowledge base for functional studies and to allow queries about protein profiles in normal and disease tissues. Our results suggest it should be possible to extend this analysis to the majority of all human proteins thus providing a valuable tool for medical and biological research.     

Time-resolved multidimensional NMR with non-uniform sampling

Time-resolved experiments demand high resolution both in spectral dimensions and in time of the studied kinetic process. The latter requirement traditionally prohibits applications of the multidimensional experiments, which, although capable of providing invaluable information about structure and dynamics and almost unlimited spectral resolution, require too lengthy data collection. Our work shows that the problem has a solution in using modern methods of NMR data collection and signal processing. A continuous fast pulsing three-dimensional experiment is acquired using non-uniform sampling during full time of the studied reaction. High sensitivity and time-resolution of a few minutes is achieved by simultaneous processing of the full data set with the multi-dimensional decomposition. The method is verified and illustrated in realistic simulations and by measuring deuterium exchange rates of amide protons in ubiquitin. We applied the method for characterizing kinetics of in vitro phosphorylation of two tyrosine residues in an intrinsically disordered cytosolic domain of the B cell receptor protein CD79b. Signals of many residues including tyrosines in both phosphorylated and unmodified forms of CD79b are found in a heavily crowded region of 2D ¹H–¹⁵N correlation spectrum and the significantly enhanced spectral resolution provided by the 3D time-resolved approach was essential for the quantitative site-specific analysis.     

Decrease in Vitamin D Status in the Greenlandic Adult Population from 1987–2010

Background

Low vitamin D status may be pronounced in Arctic populations due to limited sun exposure and decreasing intake of traditional food.

Objective

To investigate serum 25(OH)D3 as a measure of vitamin D status among adult Inuit in Greenland, predictors of low serum 25(OH)D3 concentrations and the trend from 1987 to 2005–2010.

Design

A total of 2877 randomly selected Inuit (≥18 years) from the Inuit Health in Transition study were included. A sub-sample (n = 330) donated a blood sample in 1987 which allowed assessment of time trends in vitamin D status.

Results

The geometric mean serum 25(OH)D3 (25[OH]D2 concentrations were negligible and not reported) in 2005–2010 was lowest among the 18–29 year old individuals (30.7 nmol/L; 95% CI: 29.7; 31.7) and increased with age. In all age-groups it decreased from 1987 to 2005–2010 (32%–58%). Low 25(OH)D3 concentrations (<50 nmol/L) were present in 77% of the 18–29 year old and decreased with age. A characteristic seasonal variation in 25(OH)D3 concentrations was observed (range 33.2–57.1 nmol/L, p<0.001), with the highest concentrations in August to October. Age (2.0% per year increase; CI: 1.7, 2.2), female gender (7.1%; CI: 2.0; 12.5), alcohol intake (0.2% per increase in drinks/week; 0.0; 0.4), and traditional diet (10.0% per 100 g/d increase; CI: 7.9; 12.1) were associated with increased serum 25(OH)D3, whereas smoking (−11.6%; CI: −16.2; −6.9), BMI (−0.6%; CI: −1.1; −0.2) and latitude (−0.7% per degree increase; CI: −1.3; −0.2) were associated with decreased concentrations.

Conclusion

We identified a remarkable decrease in vitamin D status from 1987 to 2005–2010 and a presently low vitamin D status among Inuit in Greenland. A change away from a traditional diet may well explain the observed decline. The study argues for the need of increased dietary intake of vitamin D and supplementation might be considered.     

Validation of the IHE Cohort Model of Type 2 Diabetes and the Impact of Choice of Macrovascular Risk Equations

Background

Health-economic models of diabetes are complex since the disease is chronic, progressive and there are many diabetic complications. External validation of these models helps building trust and satisfies demands from decision makers. We evaluated the external validity of the IHE Cohort Model of Type 2 Diabetes; the impact of using alternative macrovascular risk equations; and compared the results to those from microsimulation models.

Methods

The external validity of the model was analysed from 12 clinical trials and observational studies by comparing 167 predicted microvascular, macrovascular and mortality outcomes to the observed study outcomes. Concordance was examined using visual inspection of scatterplots and regression-based analysis, where an intercept of 0 and a slope of 1 indicate perfect concordance. Additional subgroup analyses were conducted on ‘dependent’ vs. ‘independent’ endpoints and microvascular vs. macrovascular vs. mortality endpoints.

Results

Visual inspection indicates that the model predicts outcomes well. The UKPDS-OM1 equations showed almost perfect concordance with observed values (slope 0.996), whereas Swedish NDR (0.952) and UKPDS-OM2 (0.899) had a slight tendency to underestimate. The R ² values were uniformly high (>0.96). There were no major differences between ‘dependent’ and ‘independent’ outcomes, nor for microvascular and mortality outcomes. Macrovascular outcomes tended to be underestimated, most so for UKPDS-OM2 and least so for NDR risk equations.

Conclusions

External validation indicates that the IHE Cohort Model of Type 2 Diabetes has predictive accuracy in line with microsimulation models, indicating that the trade-off in accuracy using cohort simulation might not be that large. While the choice of risk equations was seen to matter, each were associated with generally reasonable results, indicating that the choice must reflect the specifics of the application. The largest variation was observed for macrovascular outcomes. There, NDR performed best for relatively recent and well-treated patients, while UKPDS-OM1 performed best for the older UKPDS cohort.     

Estimating divergence times in large phylogenetic trees

A new method, PATHd8, for estimating ultrametric trees from trees with edge (branch) lengths proportional to the number of substitutions is proposed. The method allows for an arbitrary number of reference nodes for time calibration, each defined either as absolute age, minimum age, or maximum age, and the tree need not be fully resolved. The method is based on estimating node ages by mean path lengths from the node to the leaves but correcting for deviations from a molecular clock suggested by reference nodes. As opposed to most existing methods allowing substitution rate variation, the new method smoothes substitution rates locally, rather than simultaneously over the whole tree, thus allowing for analysis of very large trees. The performance of PATHd8 is compared with other frequently used methods for estimating divergence times. In analyses of three separate data sets, PATHd8 gives similar divergence times to other methods, the largest difference being between crown group ages, where unconstrained nodes get younger ages when analyzed with PATHd8. Overall, chronograms obtained from other methods appear smoother, whereas PATHd8 preserves more of the heterogeneity seen in the original edge lengths. Divergence times are most evenly spread over the chronograms obtained from the Bayesian implementation and the clock-based Langley-Fitch method, and these two methods produce very similar ages for most nodes. Evaluations of PATHd8 using simulated data suggest that PATHd8 is slightly less precise compared with penalized likelihood, but it gives more sensible answers for extreme data sets. A clear advantage with PATHd8 is that it is more or less instantaneous even with trees having several thousand leaves, whereas other programs often run into problems when analyzing trees with hundreds of leaves. PATHd8 is implemented in freely available software.     

Gene expression in autumn leaves

Two cDNA libraries were prepared, one from leaves of a field-grown aspen (Populus tremula) tree, harvested just before any visible sign of leaf senescence in the autumn, and one from young but fully expanded leaves of greenhouse-grown aspen (Populus tremula x tremuloides). Expressed sequence tags (ESTs; 5,128 and 4,841, respectively) were obtained from the two libraries. A semiautomatic method of annotation and functional classification of the ESTs, according to a modified Munich Institute of Protein Sequences classification scheme, was developed, utilizing information from three different databases. The patterns of gene expression in the two libraries were strikingly different. In the autumn leaf library, ESTs encoding metallothionein, early light-inducible proteins, and cysteine proteases were most abundant. Clones encoding other proteases and proteins involved in respiration and breakdown of lipids and pigments, as well as stress-related genes, were also well represented. We identified homologs to many known senescence-associated genes, as well as seven different genes encoding cysteine proteases, two encoding aspartic proteases, five encoding metallothioneins, and 35 additional genes that were up-regulated in autumn leaves. We also indirectly estimated the rate of plastid protein synthesis in the autumn leaves to be less that 10% of that in young leaves.     

Inside Back Cover: Development of a 3‐dimensional tissue lung phantom of a preterm infant for optical measurements of oxygen—Laser‐detector position considerations (J. Biophotonics 3/2018)

The picture depicts the different 3d‐printed organs, thorax, lungs, heart and bone. Assembled it is used as an optical phantom of a preterm infant for performing percutaneous optical measurements of the gas content in the lungs. In order to simulate the optical properties of the tissue, the heart and thorax can be filled with liquid phantoms, a mixture of Intralipid and Indian Ink. Further details can be found in the article by Jim Larsson et al. ( e201700097 ).