The regulation of ionic nickel uptake and cytotoxicity by specific amino acids and serum components

The effects of serum components and amino acids on the uptake and cytotoxicity of NiCl₂ were examined in cultured Chinese hamster ovary (CHO) cells. CHO cells maintained in a minimal salts/glucose medium accumulated 10-fold more⁶³Ni than did cells maintained in complete medium supplemented with 10% fetal bovine serum. Cell-surface binding of⁶³Ni appeared to account for the majority of this increased accumulation of cell-associated nickel observed in the simple maintenance medium since such increases were reduced 70% by trypsin treatment. The addition of the Ni²⁺-binding amino acids cysteine or histidine to the salts/glucose medium markedly decreased⁶³Ni accumulations, an effect not observed following addition of any of several amino acids that do not bind Ni²⁺. Supplementation of the salts/glucose medium with fetal bovine serum decreased in a concentration dependent fashion both the⁶³Ni²⁺ uptake and cell detachment caused by Ni²⁺, while dialyzed (amino acid-free) serum was 3–5-fold less effective than undialyzed serum at reducing⁶³Ni²⁺ uptake and similarly exhibited only a slight protective effect against nickel-induced cytotoxicity. Supplementation of dialyzed serum with cysteine at levels approximating those in whole serum partially restored its inhibitory activity toward nickel uptake by cells and restored completely its inhibition of nickel's cytotoxicity, indicating the predominant role of specific amino acids over serum proteins in regulating the uptake and subsequent cytotoxicity of Ni²⁺. Addition of cysteine to the salts/glucose medium during a 2 h exposure of cells to either 100 μM HgCl₂ or 1 mM NiCl₂ masked the cytotoxic effects of these metal ions. These results demonstrate the importance of extracellular small molecular weight metal ion chelators in altering the biological effects of metal ions at the level of metal uptake.     

Na+-dependent,potential-sensitive l-ascorbate transport across brush border membrane vesicles from kidney cortex

l-Ascorbate is taken up into brush border vesicles from kidney cortex of rat, rabbit and guinea pig by an efficient, Na⁺-dependent and potential-sensitive transport process. This uptake shows saturation ($\text{K}{}_{\mathrm{<mtext>m</mtext><mtext>:0.1–0.3\; mM</mtext>}}$) and is strongly stimulated by low concentrations of N₃^?. Erythorbate (d-isoascorbate) seems to be another, but poorer, substrate of the same transporter.     

Die Bildung und die Reversion von Sphäroplasten einer Diaminopimelinsäure-auxotrophen Mutante von Escherichia coli

1. The formation and reversion of spheroplasts of the diaminopimelic acid-auxotrophic mutant Escherichia coli K 12, 335, dap ⁻, R⁺TEM in a medium lacking diaminopimelic acid have been investigated by microphotography: During their development from rod form cells to spheroplasts cells on slide-surface-agar preparations underwent two successive cell divisions in the course of which the cells retained their rod form. The cells formed by these divisions partitioned into a varying number of spheroplasts of different size. The reversion of spheroplasts to rod form cells, started by the addition of diaminopimelic acid showed two characteristic steps: Each spheroplast partitioned again into several spheroplast-like cell bodies; most of them reverted directly to rod form cells.
2. The release of the R-factor mediated periplasmic TEM-β-lactamase, E. C. 3.4.2.6., into the growth medium during the development of spheroplasts attained more than 50% of the entire TEM-β-lactamase activity.

The spheroplasts showed a multiple enhancement of TEM-β-lactamase activity per mg cell protein compared with rod form cells.     

Phenetic relationships among varanid lizards based upon comparative electrophoretic data and karyotypic analyses

Comparative electrophoretic phenotypes of 18 of the 32 species of the lizard genus Varanus have been determined for four proteins. The animals studied were representative of species from Africa, Israel, Southeast Asia and Australia. Malate dehydrogenase (A₂) exhibited a single phenotype throughout. Lactate dehydrogenase (B₄) showed four distinctive electrophoretic forms which grouped the various subgenera as follows: (1) Polydaedalus, Empagusia (African); (2) Psammosaurus (Israel); (3) three species of Varanus, V. gouldii, V. spenceri, V. mertensi (Australian); (4) Dendrovaranus, Indovaranus (Southeast Asian), other Varanus species, Odatria (Australian). Electrophoretic and previously reported karyotypic data were used to interpret the phylogenetic relationships as well as the mode and direction of evolution of these animals. In particular, the results questioned the reality of the subgenus Varanus as a taxonomic unit, since four distinct karyotypic forms and two LDH-B₄ phenotypes were observed for these animals, of which one belongs to another subgenus. Serum albumin and carbonic anhydrase phenotypes were of little use in deciding phenotypic groupings.     

Comparing and linking machine learning and semi-mechanistic models for the predictability of endemic measles dynamics

Measles is one the best-documented and most-mechanistically-studied non-linear infectious disease dynamical systems. However, systematic investigation into the comparative performance of traditional mechanistic models and machine learning approaches in forecasting the transmission dynamics of this pathogen are still rare. Here, we compare one of the most widely used semi-mechanistic models for measles (TSIR) with a commonly used machine learning approach (LASSO), comparing performance and limits in predicting short to long term outbreak trajectories and seasonality for both regular and less regular measles outbreaks in England and Wales (E&W) and the United States. First, our results indicate that the proposed LASSO model can efficiently use data from multiple major cities and achieve similar short-to-medium term forecasting performance to semi-mechanistic models for E&W epidemics. Second, interestingly, the LASSO model also captures annual to biennial bifurcation of measles epidemics in E&W caused by susceptible response to the late 1940s baby boom. LASSO may also outperform TSIR for predicting less-regular dynamics such as those observed in major cities in US between 1932–45. Although both approaches capture short-term forecasts, accuracy suffers for both methods as we attempt longer-term predictions in highly irregular, post-vaccination outbreaks in E&W. Finally, we illustrate that the LASSO model can both qualitatively and quantitatively reconstruct mechanistic assumptions, notably susceptible dynamics, in the TSIR model. Our results characterize the limits of predictability of infectious disease dynamics for strongly immunizing pathogens with both mechanistic and machine learning models, and identify connections between these two approaches.