A Fluorescent Probe for Diacetyl Detection

A water-soluble fluorescent probe, rhodamine B hydrazide (RBH), was prepared and its properties for recognition of diacetyl were studied. The method employs the reaction of diacetyl with RBH, a colorless and non-fluorescent rhodamine B spiro form derivative to give a pink-colored fluorescent substance. In weakly acidic media, RBH reacts more selectively with diacetyl than with other carbonyls, causing a large increase in fluorescence intensity and thereby providing an easy assay for the determination of diacetyl

Pharmacokinetics of ethanol after oral administration in the fasting state

A nonlinear relationship between the total area under the blood ethanol concentration-time curve and the orally administered dose (mg/kg) of ethanol was observed in fasting subjects. A preliminary model, based on physiological considerations, was elaborated and shown, for the first time, to describe the entire time course of blood alcohol concentrations after four different doses of alcohol. The model could be refined by further experimentation.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/45071/1/10928_2005_Article_BF01065396.pd

Studies on the xanthine oxidase activity of mammalian cells

Xanthine oxidase in man is confined to but a few tissues and is absent from cultured cell strains. In rodents, however, the enzyme is more widely distributed among the tissues and can be demonstrated in most cell lines. Rodents possess the enzyme uricase and are therefore able to carry purine catabolism one step further than man. Preliminary results suggest that uricase is restricted to but a few rodent tissues and is absent from cultured rodent cells. Hence it may be that in each species only the final enzyme of purine catabolism is tissue restricted. In other experiments, mammalian cells were grown in the presence of compounds known to induce xanthine oxidase in a eukaryotic fungus (Aspergillus nidulans) . These compounds did not induce the enzyme in mammalian cells.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/44184/1/10528_2004_Article_BF00487339.pd

Finding Our Way through Phenotypes

Despite a large and multifaceted effort to understand the vast landscape of phenotypic data, their current form inhibits productive data analysis. The lack of a community-wide, consensus-based, human- and machine-interpretable language for describing phenotypes and their genomic and environmental contexts is perhaps the most pressing scientific bottleneck to integration across many key fields in biology, including genomics, systems biology, development, medicine, evolution, ecology, and systematics. Here we survey the current phenomics landscape, including data resources and handling, and the progress that has been made to accurately capture relevant data descriptions for phenotypes. We present an example of the kind of integration across domains that computable phenotypes would enable, and we call upon the broader biology community, publishers, and relevant funding agencies to support efforts to surmount today's data barriers and facilitate analytical reproducibility

Finding Our Way through Phenotypes

Despite a large and multifaceted effort to understand the vast landscape of phenotypic data, their current form inhibits productive data analysis. The lack of a community-wide, consensus-based, human- and machine-interpretable language for describing phenotypes and their genomic and environmental contexts is perhaps the most pressing scientific bottleneck to integration across many key fields in biology, including genomics, systems biology, development, medicine, evolution, ecology, and systematics. Here we survey the current phenomics landscape, including data resources and handling, and the progress that has been made to accurately capture relevant data descriptions for phenotypes. We present an example of the kind of integration across domains that computable phenotypes would enable, and we call upon the broader biology community, publishers, and relevant funding agencies to support efforts to surmount today's data barriers and facilitate analytical reproducibility