Identifying essential genes in bacterial metabolic networks with machine learning methods

Background  

Identifying essential genes in bacteria supports to identify potential drug targets and an understanding of minimal requirements for a synthetic cell. However, experimentally assaying the essentiality of their coding genes is resource intensive and not feasible for all bacterial organisms, in particular if they are infective.     

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.

     

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).     

Assay of reducing sugars in the nanomole range with 2,2'-bicinchoninate

The photometric assay of reducing sugars with 2,2'-bicinchoninate was improved and its conditions were optimized. Optical density is linear between 1 and 25 nmol sugar/sample, and the assay is not affected by borate, phosphate, or other buffer anions. The molar extinction coefficients produced by the standard procedure with the 12 most common monosaccharides occurring in carbohydrates and conjugated glycocompounds are listed.     

Glyceraldehyde-3-phosphate dehydrogenase from Thermotoga maritima: Strategies of protein stabilization

Abstract: The molecular origin of protein stability has been the subject of active research for more than a generation (R. Jaenicke (1991) Eur. J. Biochem. 202, 715–728). Faced with the discovery of extremophiles, in recent years the problem has gained momentum, especially because of its biotechnological potential. In analyzing a number of enzymes from the hyperthermophilic bacterium Thermotoga maritima , it has become clear that the excess free energy of stabilization is equivalent to only a few weak bonds ( ΔΔG _stab≈ 50 kJ/mol). As taken from the comparison of homologous enzymes from mesophiles, thermophiles and hyperthermophiles, these accumulate from local interactions (especially ion pairs), enhanced secondary or supersecondary structure, and improved packing of domains and/or subunits, without significantly altering the overall topology. In this review, glyceraldehyde-3-phosphate dehydrogenase will be discussed as a representative example to illustrate possible adaptive strategies to the extreme thermal stress in hydrothermal vents.     

Mechanism of the self-assembly of apoferritin from horse spleen

Apoferritin from horse spleen can be reversibly dissociated at pH 2 or in 7.2 M G-HCl (pH 3.5). Reconstitution of the native icositetramer in 0.1 M TEA buffer (pH 7.9) in the presence of 1 mM EDTA and 3 mM dithioerythritol leads to yields higher than 80%. To monitor the kinetic mechanism, intrinsic fluorescence, far-UV circular dichroism, and covalent cross-linking with glutaraldehyde were applied.The overall mechanism of assembly is characterized by a sequence of concentration-dependent association reactions involving structured monomers and a dimeric intermediate as the most prominent species, apart from trimers and dodecamers. The parallel decrease in monomers, dimers and trimers indicates that association equilibria precede the formation of the final assembly product.The assembly reaction is accompanied by characteristic changes in fluorescence emission and dichroic absorption. To a first approximation, renaturation and reassociation may be quantitatively described by one single rate-determining second-order process, subsequent to fast folding steps at the monomer level.Abbreviations CD circular dichroism - DTE dithioerythritol - G-HCl guanidinium chloride - SDS sodium dodecylsulfate - TEA triethanolamine - Tris tris hydroxymethylamino methane Dedicated to Professor Harold A. Scheraga on the occasion of his 65^th birthday     

Cell-wall lytic enzymes (autolysins) of Chlamydomonas reinhardtii are (hydroxy)proline-specific proteases

Two stage specific cell-wall lytic enzymes (autolysins) from different strains of the unicellular, biflagellated green alga Chlamydomonas reinhardtii were isolated and purified to homogeneity. Quantitative and specific photometric assays for biological activity were worked out to follow fractionation and to establish lytic specificity and kinetics. The autolysins were studied for enzymatic properties and screened for biological activity towards several wall components obtained by salt extractions of sporangia and zoospores from C. reinhardtii. The autolysins are proteolytic enzymes, fragmenting proline- or hydroxyproline-containing polypeptides in structures like connective tissue. They attack predominantly selected domains within the walls of zoosporangia or gametes. The sporangial autolysins are not only site- and strain-specific but also stage-specific, whereas the gamete autolysins lyse cell walls of gametes as well as those of sporangia and zoospores.