Effect of oxygen on steady-state product distribution in Bacillus polymyxa fermentations

Bacillus polymyxa ferments glucose to 1-2,3 butanediol, acetoin, ethanol, acetic acid, lactic acid, and formic acid. This research investigates product formation as a function of oxygen availability. A predictive model that simulates product distribution at known oxygen transfer rates is developed on the hypothesis that, in an energy-limited environment, B. polymyxa utilizes glucose and oxygen in the most efficient manner. The efficiency of utilization of glucose and oxygen is measured in terms of the ATP yields of each oxidative pathway. The identity of the products constituting the profile at the given oxygen transfer rate is determined by comparing the ATP production and consumption rates. While the ATP generated is calculated from a knowledge of the oxygen transfer rate and ATP yields of the oxidative pathways, the ATP consumption is estimated by the Pirt expression in terms of growth- and nongrowth-associated components. The product formation rates are obtained by solving ATP and NAD balance equations. They equate the production and consumption rates of these intermediates and are derived from the pseudo-steady-state hypothesis. The model is applied to continuous culture systems that are both open and closed with respect to biomass. At a given oxygen transfer rate, dilution rate, and inlet glucose concentration, the model predicts steady-state concentrations of two dominant fermentation endproducts with the help of four parameters that can be determined from independent experiments. In contrast with earlier approaches, the experimental studies are carried out in continuous culture. Product profiles are obtained at various oxygen transfer rates, fer rates, inlet glucose concentrations, and dilution rates. The effect of pH on the relative distribution of products is also demonstrated. Results indicate that the model is fairly successful in predicting product profiles as a function of oxygen availability. (c) 1992 John Wiley & Sons, Inc.     

A path analysis of carp biocontrol: effect of attitudes,norms, and emotion on acceptance

Biological Invasions - Pest carp species are a problem around the world, particularly in Australia where European carp (Cyprinus carpio) account for up to 90% of fish biomass in several major river...     

Seminal plasma zinc concentration and α-glucosidase activity with respect to semen quality

This study was conducted to examine the relationship between the concentration of zinc and neutral α-glucosidase (NAG) with semen quality. Semen samples from 75 male partners of couples who were attending the Obstetrics and Gynecology Department were analyzed for semen quality. Based on sperm count, the subjects were divided into three groups. Zinc and neutral α-glucosidase activity were estimated in seminal plasma. Results showed that mean the α-glucosidase activity was lowest among the azoospermic group with respect to oligozoospermic and normozoospermic groups. Mean zinc levels were also lower among azoospermics compared to oligozoospermic and normospermic groups. The difference was statistically significant (p<0.05). A significant positive correlation was observed between zinc levels and sperm count (r=0.29, p<0.05) and zinc and α-glucosidase activity (r=0.31, p<0.05) in seminal plasma. These results suggest that zinc and neutral α-glucosidase seem to play an important role in human reproduction.     

Mechanism of differentiation of human erythroleukaemic cell line K562 by hemin

The human erythroleukaemic cell line K₅₆₂, in response to various chemical agents, undergoes differentiation and exhibits exclusive production of fetal and embryonic haemoglobins. In this study we have compared the efficiency of natural growth factors interleukin-3 and erythropoietin and three chemical inducers such as dimethyl sulfoxide (DMSO, 1.9%), phorbol-12-myristate-13-acetate (PMA, 50 ng/ml) and hemin (25 μm) on growth and differentiation of these cells. Erythropoietin significantly stimulated the growth of K₅₆₂ cells (P<0.0001), while interleukin-3 did not (P= 0.2783). However, neither of these growth factors individually or together induced differentiation of K₅₆₂ cells. Hemin appears to be more efficient than DMSO or PMA in differentiation of K₅₆₂ cells as measured by benzidine positive cells (70% or more). The differentiation of K₅₆₂ cells by hemin occurs independently of protein kinase-C activation and the arrest of DNA synthesis. In contrast, hemin significantly stimulated RNA and protein synthesis (P<0.0001) as measured by [³H]-uridine and [³H]-leucine incorporation respectively. Analysis of hemin-treated K₅₆₂ nuclear extract on sodium dodecylsulphate gel electrophoresis showed that one protein band of molecular weight 70 kDa decreased after 48 h of incubation in the presence of 25 μm hemin. The disappearance of this protein can be prevented by cycloheximide (100 μg/ml) and actinomycin D (0.1 μg/ml) and thus indicating that the removal of 70 kDa protein seems to be dependent on RNA and protein synthesis. The regulatory role of 70 kDa protein in hemin-induced differentiation of K₅₆₂ cells is discussed.     

Insulin Protects Pancreatic Acinar Cells from Palmitoleic Acid-induced Cellular Injury

Acute pancreatitis is a serious and sometimes fatal inflammatory disease where the pancreas digests itself. The non-oxidative ethanol metabolites palmitoleic acid (POA) and POA-ethylester (POAEE) are reported to induce pancreatitis caused by impaired mitochondrial metabolism, cytosolic Ca²⁺ ([Ca²⁺]_i) overload and necrosis of pancreatic acinar cells. Metabolism and [Ca²⁺]_i are linked critically by the ATP-driven plasma membrane Ca²⁺-ATPase (PMCA) important for maintaining low resting [Ca²⁺]_i. The aim of the current study was to test the protective effects of insulin on cellular injury induced by the pancreatitis-inducing agents, ethanol, POA, and POAEE. Rat pancreatic acinar cells were isolated by collagenase digestion and [Ca²⁺]_i was measured by fura-2 imaging. An in situ [Ca²⁺]_i clearance assay was used to assess PMCA activity. Magnesium green (MgGreen) and a luciferase-based ATP kit were used to assess cellular ATP depletion. Ethanol (100 mm) and POAEE (100 μm) induced a small but irreversible Ca²⁺ overload response but had no significant effect on PMCA activity. POA (50–100 μm) induced a robust Ca²⁺ overload, ATP depletion, inhibited PMCA activity, and consequently induced necrosis. Insulin pretreatment (100 nm for 30 min) prevented the POA-induced Ca²⁺ overload, ATP depletion, inhibition of the PMCA, and necrosis. Moreover, the insulin-mediated protection of the POA-induced Ca²⁺ overload was partially prevented by the phosphoinositide-3-kinase (PI3K) inhibitor, {"type":"entrez-nucleotide","attrs":{"text":"LY294002","term_id":"1257998346","term_text":"LY294002"}}LY294002. These data provide the first evidence that insulin directly protects pancreatic acinar cell injury induced by bona fide pancreatitis-inducing agents, such as POA. This may have important therapeutic implications for the treatment of pancreatitis.     

Photovoltaic Materials and Devices Based on the Alloyed Kesterite Absorber (AgxCu1–x)2ZnSnSe4

The photovoltaic absorber Cu₂ZnSn(S_xSe_1–x)₄ (CZTSSe) has attracted interest in recent years due to the earth‐abundance of its constituents and the realization of high performance (12.6% efficiency). The open‐circuit voltage in CZTSSe devices is believed to be limited by absorber band tailing caused by the exceptionally high density of Cu/Zn antisites. By replacing Cu in CZTSSe with Ag, whose covalent radius is ≈15% larger than that of Cu and Zn, the density of I–II antisite defects is predicted to drop. The fundamental properties of the mixed Ag‐Cu kesterite compound are reported as a function of the Ag/(Ag + Cu) ratio. The extent of band tailing is shown to decrease with increasing Ag. This is verified by comparing the optical band gap extrapolated from transmission data with the position of the room‐temperature photoluminescence peak; these values converge for the pure‐Ag compound. Additionally, the pinning of the Fermi level in CZTSSe, attributed to heavy defect compensation and band tailing, is not observed in the pure‐Ag compound, offering further evidence of improved electronic structure. Finally, a device efficiency of 10.2% is reported for a device containing 10% Ag (no antireflection coating); this compares to ≈9% (avg) efficiency for the baseline pure‐Cu CZTSe.     

A novel nuclear protein which binds to G gamma and A gamma globin promoters and modulates hemoglobin synthesis in K562 cells.

Nuclear extract of human erythroleukemic cell line K562 contains a 70 kDa protein which is gradually reduced when cells are induced to express globin genes by 25 microM hemin. When globin synthesis was inhibited by cycloheximide (100 micrograms/ml) or Actinomycin D (1 microgram/ml), the disappearance of this protein was prevented. The 70 kDa nuclear protein exhibited strong binding to G gamma and A gamma globin promoters but not to beta-globin promoter. This suggests that this 70 kDa nuclear protein may be involved in the regulation of fetal globin gene expression.     

Photovoltaic Device with over 5% Efficiency Based on an n‐Type Ag2ZnSnSe4 Absorber

The kesterite material Cu₂ZnSn(S,Se)₄ (CZTSSe) is an attractive earth‐abundant semiconductor for photovoltaics. However, the power conversion efficiency is limited by a large density of I–II antisite defects, which cause severe band tailing and open‐circuit voltage loss. Ag₂ZnSnSe₄ (AZTSe) is a promising alternative to CZTSSe with a substantially lower I–II antisite defect density and smaller band tailing. AZTSe is weakly n‐type, and this study reports for the first time on how the carrier density is impacted by stoichiometry. This study presents the first‐ever photovoltaic device based on AZTSe, which exhibits an efficiency of 5.2%, which is the highest value reported for an n‐type thin‐film absorber. Due to the weakly n‐type nature of the absorber, a new architecture is employed (SnO:F/AZTSe/MoO₃/ITO) to replace conventional contacts and buffer materials. Using this platform, it is shown that the band tailing parameter in AZTSe more closely resembles that of CIGSe than CZTSSe, underscoring the strong promise of this absorber. In demonstrating the ability to collect photogenerated carriers from AZTSe, this study paves the way for novel thin‐film heterojunction architectures where light absorption in the n‐type device layer can supplement absorption in the p‐type layer as opposed to producing a net optical loss.     

Computational and Empirical Studies Predict Mycobacterium tuberculosis-Specific T Cells as a Biomarker for Infection Outcome

Identifying biomarkers for tuberculosis (TB) is an ongoing challenge in developing immunological correlates of infection outcome and protection. Biomarker discovery is also necessary for aiding design and testing of new treatments and vaccines. To effectively predict biomarkers for infection progression in any disease, including TB, large amounts of experimental data are required to reach statistical power and make accurate predictions. We took a two-pronged approach using both experimental and computational modeling to address this problem. We first collected 200 blood samples over a 2- year period from 28 non-human primates (NHP) infected with a low dose of Mycobacterium tuberculosis. We identified T cells and the cytokines that they were producing (single and multiple) from each sample along with monkey status and infection progression data. Machine learning techniques were used to interrogate the experimental NHP datasets without identifying any potential TB biomarker. In parallel, we used our extensive novel NHP datasets to build and calibrate a multi-organ computational model that combines what is occurring at the site of infection (e.g., lung) at a single granuloma scale with blood level readouts that can be tracked in monkeys and humans. We then generated a large in silico repository of in silico granulomas coupled to lymph node and blood dynamics and developed an in silico tool to scale granuloma level results to a full host scale to identify what best predicts Mycobacterium tuberculosis (Mtb) infection outcomes. The analysis of in silico blood measures identifies Mtb-specific frequencies of effector T cell phenotypes at various time points post infection as promising indicators of infection outcome. We emphasize that pairing wetlab and computational approaches holds great promise to accelerate TB biomarker discovery.     

Reconstitution of Ca(2+)-dependent K+ transport in erythrocyte membrane vesicles requires a cytoplasmic protein

We have demonstrated that calcium-dependent potassium transport in erythrocytes requires the participation of a cytoplasmic protein. Activation of calcium-dependent potassium transport causes an increase in the membrane-bound levels of this protein which is dependent on the calcium concentration and which is highly correlated (r = 0.791, p less than 0.0001) with the loss of potassium. Reconstitution of this transport pathway in sonicated erythrocyte membrane vesicles was achieved only in vesicles containing the cytoplasmic protein indicating a causal relationship in this transport system. The protein is found in high levels within the cytoplasm of erythrocytes (5.6 mg/ml red blood cells) and yet less than 1% of the protein located in the cytoplasm is required to bind to the membrane in order to initiate the potassium efflux. The analysis of rat organ homogenates demonstrated that this protein is located in most tissues with particular enrichment in adrenal glands, brain, lung, and blood. These results demonstrate that there is a cytoplasmic protein, herein named calpromotin, which is a necessary and sufficient cytoplasmic component of calcium-dependent potassium transport in erythrocytes and perhaps other tissues.