C. elegans Model Identifies Genetic Modifiers of ��-Synuclein Inclusion Formation During Aging

Inclusions in the brain containing α-synuclein are the pathological hallmark of Parkinson''s disease, but how these inclusions are formed and how this links to disease is poorly understood. We have developed a C. elegans model that makes it possible to monitor, in living animals, the formation of α-synuclein inclusions. In worms of old age, inclusions contain aggregated α- synuclein, resembling a critical pathological feature. We used genome-wide RNA interference to identify processes involved in inclusion formation, and identified 80 genes that, when knocked down, resulted in a premature increase in the number of inclusions. Quality control and vesicle-trafficking genes expressed in the ER/Golgi complex and vesicular compartments were overrepresented, indicating a specific role for these processes in α-synuclein inclusion formation. Suppressors include aging-associated genes, such as sir-2.1/SIRT1 and lagr-1/LASS2. Altogether, our data suggest a link between α-synuclein inclusion formation and cellular aging, likely through an endomembrane-related mechanism. The processes and genes identified here present a framework for further study of the disease mechanism and provide candidate susceptibility genes and drug targets for Parkinson''s disease and other α-synuclein related disorders.     

Toll-like receptor 4 deficiency: Smaller infarcts,but nogain in function

Backgound  

It has been reported that Toll-like receptor 4 (TLR4) deficiency reduces infarct size after myocardial ischemia/reperfusion (MI/R). However, measurement of MI/R injury was limited and did not include cardiac function. In a chronic closed-chest model we assessed whether cardiac function is preserved in TLR4-deficient mice (C3H/HeJ) following MI/R, and whether myocardial and systemic cytokine expression differed compared to wild type (WT).     

State-of-the art data normalization methods improve NMR-based metabolomic analysis

Extracting biomedical information from large metabolomic datasets by multivariate data analysis is of considerable complexity. Common challenges include among others screening for differentially produced metabolites, estimation of fold changes, and sample classification. Prior to these analysis steps, it is important to minimize contributions from unwanted biases and experimental variance. This is the goal of data preprocessing. In this work, different data normalization methods were compared systematically employing two different datasets generated by means of nuclear magnetic resonance (NMR) spectroscopy. To this end, two different types of normalization methods were used, one aiming to remove unwanted sample-to-sample variation while the other adjusts the variance of the different metabolites by variable scaling and variance stabilization methods. The impact of all methods tested on sample classification was evaluated on urinary NMR fingerprints obtained from healthy volunteers and patients suffering from autosomal polycystic kidney disease (ADPKD). Performance in terms of screening for differentially produced metabolites was investigated on a dataset following a Latin-square design, where varied amounts of 8 different metabolites were spiked into a human urine matrix while keeping the total spike-in amount constant. In addition, specific tests were conducted to systematically investigate the influence of the different preprocessing methods on the structure of the analyzed data. In conclusion, preprocessing methods originally developed for DNA microarray analysis, in particular, Quantile and Cubic-Spline Normalization, performed best in reducing bias, accurately detecting fold changes, and classifying samples.

     

Effect of oleocellosis,desiccation, and fungal infection upon the terpenes of individual oil glands in Citrus latipes

Mono- and sesqui-terpenes of individual oil glands of Citrus latipes fruits were analyzed for their homogeneity. The effect of oleocellosis, desiccation, Penicillium and Phytophthora infection upon the individual terpene components was investigated and expressed in a discriminant analysis and in canonical variables. Each oil gland contained the entire spectrum of terpenes specific for each species, and the biggest difference in affected glands was due to Penicillium infection.     

Analysis of regulatory phosphorylation sites in ZAP-70 by capillary high-performance liquid chromatography coupled to electrospray ionization or matrix-assisted laser desorption ionization time-of-flight mass spectrometry

A methodology for the rapid and quantitative analysis of phosphorylation sites in proteins is presented. The coupling of capillary high-performance liquid chromatography (HPLC) to electrospray ionization mass spectrometry (ESI-MS) allowed one to distinguish phosphorylation sites based on retention time and mass difference from complex peptide mixtures. The methodology was first evaluated and validated for a mixture of non-, mono-, and dityrosine-phosphorylated synthetic peptides, corresponding to the tryptic fragment 485–496 (ALGADDSYYTAR) of the human protein tyrosine kinase ZAP-70. The limits of detection for the non-, mono- and diphosphorylated peptides were about 15, 40 and 100 fmol, respectively, when using a 300 μm I.D. column. Application of the method was extended to identify phosphopeptides generated from a trypsin digest of recombinant autophosphorylated ZAP-70, in particular with respect to quantifying the status at the regulatory phosphorylation sites Tyr-492 and Tyr-493. Combination of chromatographic and on-line tandem mass spectrometry data allowed one to ascertain the identity of the detected peptides, a prerequisite to analyses in more complex biological samples. As an extension to the methodology described above, we evaluated the feasibility of interfacing capillary HPLC to matrix assisted laser desorption ionisation time-of-flight mass spectrometry (MALDI-TOF-MS), using a micromachined piezoelectric flow-through dispenser as the interface. This enabled direct arraying of chromatographically separated components onto a target plate that was precoated with matrix for subsequent analysis by MALDI-TOF-MS without further sample handling.     

Anions permeate and gate GCAC1, a voltage-dependent guard cell anion channel

GCAC1 is a strongly voltage-dependent anion channel in the guard-cell plasma membrane of Vicia faba . In patch–clamp experiments, we have investigated the permeation and gating properties of GCAC1 with respect to its anion dependence in the whole-cell and excised-patch configuration. The relative permeability followed the order SCN^– > NO₃^– > Br^– > Cl^–, while the single-channel conductances in symmetrical anionic solutions exhibited a nearly inverse sequence. The Cl^– dependence of inward currents (Cl^– release) is characterized by a maximum single-channel conductance of 89 pS half-saturating at 87 mM cytoplasmic chloride. In addition to this substrate saturation, anion release was also dependent on the external Cl^– activity ( K _m = 16 mM). In the presence of SCN^– and Cl^–, the single-channel conductance exhibited an anomalous mole-fraction dependence, identifying GCAC1 as a multi-ion single-file pore. Using anions with increasing ionic size, a minimum pore diameter of 0.5 nm was assumed from their relative permeabilities. In line with an anion-selective channel, a tenfold increase in the extracellular anion activity shifted the reversal potential by –59.8 mV. Simultaneously, the half-activation potential shifted negatively by about 23 mV. A further analysis of the anion dependence revealed that extracellular rather than cytosolic anions affect the gating process of GCAC1. From anion substitution experiments, we conclude that anion concentration and species determines both permeation and gating of the plant anion channel GCAC1.     

Nitrous oxide and methane fluxes of a pristine slope mire in the German National Park Harz Mountains

Pristine peatlands covered by Histosols (bogs and fens) with high water table and a restricted oxygen (O₂) availability are known to have low emissions of nitrous oxide (N₂O) but may be a significant source for atmospheric methane (CH₄) which are both important greenhouse gases. For the first time N₂O and CH₄ fluxes of a pristine slope mire in the German Harz Mountains have been monitored. Previously reported peatlands are characterised by anaerobic conditions due to high water table levels. Slope mires monitored here receive O₂ through slope water inflow. Gas fluxes have been monitored deploying closed chamber method on a central non-forested area and a forested area at the periphery of the slope mire. By means of groundwater piezometers water table levels, ammonium and nitrate contents as well as hydro-chemical variables like oxygen content and redox potential of the mire pore water have been concurrently measured with trace gas fluxes at both monitoring sites of the slope mire. The slope mire took up small amounts of atmospheric methane at a rate of −0.02 ± 0.01 kg C ha⁻¹ year⁻¹ revealing no significant difference between the forested and non-forested site. Higher uptake rates were observed during low water table level. In contrast to pristine peatlands influx of oxygen containing pore water into slope mire does limit reduction processes and resultant CH₄ emission. N₂O fluxes of the forested and non-forested sites of the slope mire did not differ and amounted to 0.25 ± 0.44 kg N ha⁻¹ year⁻¹. Higher emissions were observed at low water table levels and during thawing periods. In spite of favourable conditions N₂O fluxes of the slope mire have been comparable to those of pristine peatlands.     

Combined UV and Liquid Scintillation Detection in HPLC. Formation and Depurination of Substitution Inert Pt(II) Complexes of Purine Nucleosides

Abstract

Combined UV- and liquid scintillation-HPLC has been applied to study the complexing of purine nucleosides with Pt(II)-diamine ions, and the effect of the complex formation on the acidic depurination.