Effect of Acetylation of Ovalbumin on Its Adsorption Behavior at Solid/Liquid Interface

This paper reports the effect of modification of lysine residues on the adsorption of ovalbumin at alumina/water interface. It has been shown that the pH dependence of the adsorption changes on acetylation of lysine. Thus at pH 7.6 acetylated ovalbumin does not show any affinity for alumina surface although unmodified protein does. It seems that although electrostatic interactions are operative, surface unfolding of proteins and surface hydrophobicity of protein also control the adsorption of ovalbumin onto alumina.     

不同来源生物炭对砷在土壤中吸附与解吸的影响

采用OECD Guideline 106批平衡方法研究了由凋落松针、玉米秸秆、牛粪制备的3种生物炭对As(Ⅴ)在棕壤中的吸附和解吸特性的影响.结果表明：3种生物炭的添加量为0.5%时,对As(Ⅴ)在土壤中的吸附量大小顺序为牛粪炭处理＞松针炭处理＞玉米秸秆炭处理,这与生物炭的基本性质密切相关;等温吸附曲线能用Langmuir方程进行很好的拟合(R² =0.997);与对照相比,生物炭处理对砷的吸附容量(lgK_f 为1.99～2.10)和吸附强度(1/N 为0413～0.449)降低,生物炭对As(Ⅴ)的主要吸附机制为物理吸附;生物炭处理对As(Ⅴ)解吸率大小顺序为：玉米秸秆炭处理＞松针炭处理＞牛粪炭处理,解吸率在14.5%～18.7%.添加3种来源生物炭降低了棕壤对As(Ⅴ)的吸附,这可能会导致砷的有效性增强,更易被生物吸收,进而增强土壤中砷的毒性.     

In situ positron emission tomography monitoring of endothelial cells embedded in perfused fibrin gels

In tissue engineering, the continuous monitoring of cell and tissue cultures in vitro is crucial to assess their functional status over time. However, these constructs can be large, thick and non-transparent. Medical imaging techniques can allow real-time in situ monitoring of cell and tissue cultures in thick solid scaffolds. Here, human endothelial cells were embedded in fibrin gels that were continuously perfused by a culture medium. Positron emission tomography (PET) imaging was used to assess cell viability non-destructively over periods extending up to a few weeks. PET imaging protocols were adapted and validated to measure culture perfusion and cell metabolism using [¹⁸F]-fluorodeoxyglucose (¹⁸FDG). Cell densities down to 100,000 cells/mL were detectable after 12 h of culture and cell structures were localized within the fibrin gels after 1–2 weeks of culture. PET is a promising tool to investigate a wide range of cellular properties and reveal information on tissue development.     

An optical dynamic mass redistribution assay reveals biased signaling of dualsteric GPCR activators

Increasing attention is paid in basic science and in drug discovery to pathway selective intracellular signaling as a novel approach to achieve precise control of cell function via G protein-coupled receptors (GPCRs). With respect to signaling, GPCRs are often promiscuous in that more than one intracellular biochemical pathway is activated upon receptor stimulation by the endogenous transmitter or by exogenous drugs. We studied signaling by a novel class of GPCR activators that were designed to bind simultaneously to the orthosteric transmitter-binding site and the allosteric site of muscarinic acetylcholine receptors. An optical biosensor technique was applied to measure activation-induced dynamic mass redistribution (DMR) in CHO cells stably expressing the muscarinic receptor subtype of interest. The use of tools to modulate signaling and measuring G protein activation directly proved that DMR is a valid and comfortable approach to gain real-time insight into intracellular signaling pathway activation and to identify signaling pathway-selective drugs.     

Removal and recovery of furfural, 5-hydroxymethylfurfural, and acetic acid from aqueous solutions using a soluble polyelectrolyte

In the cellulosic ethanol process, furfural, 5-hydroxymethylfurfural (HMF), and acetic acid are formed during the high temperature acidic pretreatment step needed to convert biomass into fermentable sugars. These compounds can inhibit cellulase enzymes and fermentation organisms at relatively low concentrations (≥ 1 g/L). Effective removal of these inhibitory compounds would allow the use of more severe pretreatment conditions to improve sugar yields and lead to more efficient fermentations; if recovered and purified, they could also be sold as valuable by-products. This study investigated the separation of aldhehydes (furfural and HMF) and organic acid (acetic acid) inhibitory compounds from simple aqueous solutions by using polyethyleneimene (PEI), a soluble cationic polyelectrolyte. PEI added to simple solutions of each inhibitor at a ratio of 1 mol of functional group to 1 mol inhibitor removed up to 89.1, 58.6, and 81.5 wt% of acetic acid, HMF, and furfural, respectively. Furfural and HMF were recovered after removal by washing the polyelectrolyte/inhibitor complex with dilute sulfuric acid solution. Recoveries up to 81.0 and 97.0 wt% were achieved for furfural and HMF, respectively. The interaction between PEI and acetic acid was easily disrupted by the addition of chloride ions, sulfate ions, or hydroxide ions. The use of soluble polymers for the removal and recovery of inhibitory compounds from biomass slurries is a promising approach to enhance the efficiency and economics of an envisioned biorefinery.     

Effects of cooling rate, annealing time and biological antifreeze concentration on thermal hysteresis reading

Thermal hysteresis (TH) readings depend on the cooling rate, annealing time and the concentration of the biological antifreeze (AF) (i.e., antifreeze protein or antifreeze glycoprotein). Such time- and concentration-dependent TH readings are not true (or absolute) values. The true TH should be independent of time and AF concentration, and it should be a unique value for a given AF. Only the true TH can be used to assess the activity of an AF. A mathematical model is proposed to explain the time- and concentration-dependent behavior of AFs. The model assumes a reversible Langmuir adsorption mechanism for the AF molecules and the Kelvin effect to be applicable. A TH equation that correlates the TH reading with the cooling rate, annealing time and AF concentration was derived. The time-dependent behavior was attributed to the slow adsorption process of the AF. The theoretical calculations were compared with previously published data on the effects of the cooling rate, annealing time and AF concentration on TH readings. The calculated results agree qualitatively with the literature data. The experimental methodology required for obtaining the true TH of an AF is suggested.     

Mathematical descriptions of biochemical networks: stability, stochasticity, evolution

In this paper, we review some fundamental aspects, as well as some new developments, in the emerging field of network biology. The focus of attention is placed on mathematical approaches to conceptual modeling of biomolecular networks with special emphasis on dynamic stability, stochasticity and evolution.     

Sources of cell-to-cell variability in canonical nuclear factor-κB (NF-κB) signaling pathway inferred from single cell dynamic images

The canonical nuclear factor-κB (NF-κB) signaling pathway controls a gene network important in the cellular inflammatory response. Upon activation, NF-κB/RelA is released from cytoplasmic inhibitors, from where it translocates into the nucleus, subsequently activating negative feedback loops producing either monophasic or damped oscillatory nucleo-cytoplasmic dynamics. Although the population behavior of the NF-κB pathway has been extensively modeled, the sources of cell-to-cell variability are not well understood. We describe an integrated experimental-computational analysis of NF-κB/RelA translocation in a validated cell model exhibiting monophasic dynamics. Quantitative measures of cellular geometry and total cytoplasmic concentration and translocated RelA amounts were used as priors in Bayesian inference to estimate biophysically realistic parameter values based on dynamic live cell imaging studies of enhanced GFP-tagged RelA in stable transfectants. Bayesian inference was performed on multiple cells simultaneously, assuming identical reaction rate parameters, whereas cellular geometry and initial and total NF-κB concentration-related parameters were cell-specific. A subpopulation of cells exhibiting distinct kinetic profiles was identified that corresponded to differences in the IκBα translation rate. We conclude that cellular geometry, initial and total NF-κB concentration, IκBα translation, and IκBα degradation rates account for distinct cell-to-cell differences in canonical NF-κB translocation dynamics.     

The cellulose-binding domain of cellobiohydrolase Cel7A from Trichoderma reesei is also a thermostabilizing domain

The thermostability of cellobiohydrolase I Cel7A from Trichoderma reesei was investigated using dynamic light scattering. While the whole enzyme displayed a melting point of 59 °C, the catalytic domain obtained via papain-catalyzed proteolysis was shown to denature at 51 °C and the cellulose-binding domain (with linker attached) melted at 65-66 °C. This variation in individual melting temperatures is proposed to account for the full retention of binding capacity of Cel7A at 50 °C, along with a loss of catalytic activity observed for the catalytic domain alone. Thus, the cellulose-binding domain of Cel7A acts as a thermostabilizing domain for the enzyme. The effect of reducing agents on the protein melting behavior was also investigated.     

Dynamic synergistic effect on Trichoderma reesei cellulases by novel β-glucosidases from Taiwanese fungi

Dynamic synergistic effects in cellulosic bioconversion have been revealed between Trichoderma reesei cellulases and β-glucosidases (BGLs) from six Taiwanese fungi. A high level of synergy (8.9-fold) was observed with the addition of Chaetomellaraphigera BGL to T. reesei cellulases. In addition, the C. raphigera BGL possessed the highest activity (V_max/K_m = 46.6 U/mg mM) and lowest glucose inhibition (Ki = 4.6 mM) with the substrate 4-nitrophenyl β-d-glucopyranoside. For the natural cellobiose substrate, however, the previously isolated Aspergillus niger BGL Novo-188 had the highest V_max/K_m (0.72 U/mg mM) and lowest Ki (59.5 mM). The demonstrated dynamic synergistic effects between some BGLs and the T. reesei cellulase system suggest that BGLs not only prevent the inhibition by cellobiose, but also enhance activities of endo- and exo-cellulases in cellulosic bioconversion. Comparisons of kinetic parameters and synergism analyses between BGLs and T. reesei cellulases can be used for further optimization of the cellulosic bioconversion process.