SMS overexpression and knockdown: impact on cellular sphingomyelin and diacylglycerol metabolism, and cell apoptosis

Sphingomyelin synthase (SMS), the last enzyme in the sphingomyelin (SM) biosynthetic pathway, uses ceramide and phosphatidylcholine as substrates to produce SM and diacylglycerol (DAG). To evaluate the role of SMS in apoptosis, we generated Chinese hamster ovary cells that stably express human SMS1 or SMS2. We found that SMS1 or SMS2 overexpression results in a significant increase in cellular levels of SM (24% or 20%) and DAG (35% or 31%), respectively, compared with controls. Cells overexpressing SMS1 or SMS2 were more likely to undergo lysis mediated by lysenin (a protein that causes lysis through its affinity with SM-rich microdomains in the plasma membrane) than were controls, indicating SM enrichment of the plasma membrane. SMS1 and SMS2 overexpression also led to higher retention of DiIC16 fluorescence compared with wild-type cells, indicating an increased number of detergent-insoluble microdomains and significantly increased tumor necrosis factor-alpha-mediated apoptosis. To further evaluate the relationship between SMS activity and cell apoptosis, we used SMS1 and SMS2 small interfering RNA (siRNA) to knock down their mRNA in THP-1-derived macrophages. We found that SMS1 or SMS2 siRNA significantly reduces intracellular SM (by 20% or 23%), plasma membrane SM (as indicated by the rate of lysenin-mediated cell lysis), and DAG levels (24% or 20%), respectively, while significantly reducing lipopolysaccharide-mediated apoptosis compared with controls. These results indicate that SMS1 and SMS2 are key factors in the control of SM and DAG levels within the cell and thus influence apoptosis.     

Interval estimation of the mean difference in the analysis of over‐dispersed count data

This paper focuses on the development and study of the confidence interval procedures for mean difference between two treatments in the analysis of over‐dispersed count data in order to measure the efficacy of the experimental treatment over the standard treatment in clinical trials. In this study, two simple methods are proposed. One is based on a sandwich estimator of the variance of the regression estimator using the generalized estimating equations (GEEs) approach of Zeger and Liang (1986) and the other is based on an estimator of the variance of a ratio estimator (1977). We also develop three other procedures following the procedures studied by Newcombe (1998) and the procedure studied by Beal (1987). As assessed by Monte Carlo simulations, all the procedures have reasonably well coverage properties. Moreover, the interval procedure based on GEEs outperforms other interval procedures in the sense that it maintains the coverage very close to the nominal coverage level and that it has the shortest interval length, a satisfactory location property, and a very simple form, which can be easily implemented in the applied fields. Illustrative applications in the biological studies for these confidence interval procedures are also presented.     

Characterization of thermostable cyclodextrinase from Clostridium thermohydrosulfuricum 39E.

Clostridium thermohydrosulfuricum 39E produced a cell-bound cyclodextrin (CD)-degrading enzyme (cyclodextrinase). It was partially purified 205-fold (specific activity, 14.5 U/mg of protein) by solubilizing with Triton X-100, ammonium sulfate treatment, and DEAE-Sepharose CL-6B column chromatography. The enzyme activity was found to be stable at pH 5.5 and 60 degrees C and optimally active at pH 6.0 and 65 degrees C. The enzyme preparation hydrolyzed CDs, with alpha-CD greater than beta-CD greater than gamma-CD, and displayed a putative multiple attack pattern. The enzyme activity was inhibited by p-chloromercuribenzoate but not by N-bromosuccinimide.     

Some blood genetic markers of the Nuba and Hawazma tribes of western Sudan

Two hundred eighty subjects comprising 112 Nuba and 168 Hawazma of the Sudan were tested for the distribution of hemoglobins, eight red cell enzymes, and four serum proteins. The Nuba, the indigenous negroid tribe, had no HbS, HbO-Arab, or GdB(Khartoum) compared to the Hawazma tribe of Negro-Arab descent. The gene frequencies of the above polymorphic systems in the latter were as follows: HbS, 0.13; HbO-Arab, 0.01; GdB(Khartoum), 0.03. The frequency of GdA was higher in the Hawazma than in the Nuba. A high frequency of glucose 6-phosphate dehydrogenase (G6PD) deficiency and HpO was present in both the tribes. Essentially similar gene frequencies of Hp1, TfD, PGDC, pC, and PGM1 were observed in both Nuba and Hawazma. The average heterozygosity at five polymorphic loci was the same (0.23) in both the tribes. The above results agree with the social practice whereby people of mixed Hawazma and Nuba descent are considered members of the Hawazma tribe and confirm that racial admixture between the two groups can be seen as a process of gene flow from the Nuba to the Hawazma, even though the Nuba are the indigenous group, while the Hawazma are the new settlers.     

Multiphasic denaturation of the lambda repressor by urea and its implications for the repressor structure.

Urea denaturation of the lambda repressor has been studied by fluorescence and circular dichroic spectroscopies. Three phases of denaturation could be detected which we have assigned to part of the C-terminal domain, N-terminal domain and subunit dissociation coupled with further denaturation of the rest of the C-terminal domain at increasing urea concentrations. Acrylamide quenching suggests that at least one of the three tryptophan residues of the lambda repressor is in a different environment and its emission maximum is considerably blue-shifted. The transition in low urea concentration (midpoint approximately 2 M) affects the environment of this tryptophan residue, which is located in the C-terminal domain. Removal of the hinge and the N-terminal domain shifts this transition towards even lower urea concentrations, indicating the presence of interaction between hinge on N-terminal and C-terminal domains in the intact repressor.     

Maximizing productivity of a continuous fermenter using nonlinear adaptive optimizing control

The control of a continuously operated fermenter at its maximum productivity level gives rise to a difficult control problem as the location of the optimum operating point changes due to the disturbances. In addition, the fermenter exhibits a change in the sign of the steady state gain near the optimum operating point. This study is aimed at developing an on-line optimizing control scheme that can track the changing location of the steady state optimum so as to maximize the fermenter productivity. A nonlinear Laguerre model, whose parameters are estimated on-line, is used for tracking the optimum operating point. The control at the optimum point is achieved using an adaptive nonlinear MPC strategy that uses the nonlinear Laguerre model for prediction. The efficiency of the proposed algorithm is demonstrated by simulating the control of a continuous fermenter that exhibits shift in the location of the optimum operating point in response to the changes in the maximum specific growth rate. The proposed on-line optimizing control strategy is shown to result in a considerable improvement in the closed loop performance even in the presence of measurement noise.