Synthetic Transcription Factors Switch from Local to Long-Range Control during Cell Differentiation.

Genes, including promoters and enhancers, are regulated by short- and long-range interactions in higher eukaryotes. It is unclear how mammalian gene expression subject to such a combinatorial regulation can be controlled by synthetic transcription factors (TF). Here, we studied how synthetic TALE transcriptional activators and repressors affect the expression of genes in a gene array during cellular differentiation.

Stochastic Gene Choice during Cellular Differentiation.

Genes in higher eukaryotes are regulated by long-range interactions, which can determine what combination of genes is expressed in a chromosomal segment. The choice of the genes can display exclusivity, independence, or co-occurrence. We introduced a simple measure to quantify this interdependence in gene expression and differentiated mouse embryonic stem cells to neurons to measure the single-cell expression of the gene isoforms in the protocadherin (Pcdh) cluster, a key component of neuronal diversity.

Impact of Methods on the Measurement of mRNA Turnover.

The turnover of the RNA molecules is determined by the rates of transcription and RNA degradation. Several methods have been developed to study RNA turnover since the beginnings of molecular biology. Here we summarize the main methods to measure RNA half-life: transcription inhibition, gene control, and metabolic labelling.

Multiplexed gene control reveals rapid mRNA turnover.

The rates of mRNA synthesis and decay determine the mRNA expression level. The two processes are under coordinated control, which makes the measurements of these rates challenging, as evidenced by the low correlation among the methods of measurement of RNA half-lives. We developed a minimally invasive method, multiplexed gene control, to shut off expression of genes with controllable synthetic promoters.

Functional and expressional analyses of the anti-FlhD4C2 factor gene ydiV in Escherichia coli.

Although Escherichia coli and Salmonella enterica serovar Typhimurium have a similar flagellar regulatory system, the response of flagellar synthesis to nutrient conditions is quite different between the two: that is, in low-nutrient conditions, flagellar synthesis is inhibited in Salmonella and enhanced in E. coli. In Salmonella, this inhibition is mediated by an anti-FlhD(4)C(2) factor, YdiV, which is expressed in low-nutrient conditions and binds to FlhD(4)C(2) to inhibit the expression of the class 2 flagellar genes.

Discovery of a potent and orally available acyl-CoA: cholesterol acyltransferase inhibitor as an anti-atherosclerotic agent: (4-phenylcoumarin)acetanilide derivatives.

Acyl-CoA: cholesterol acyltransferase (ACAT) is an intracellular enzyme that catalyzes cholesterol esterification. ACAT inhibitors are expected to be potent therapeutic agents for the treatment of atherosclerosis. A series of potent ACAT inhibitors based on an (4-phenylcoumarin)acetanilide scaffold was identified.

trans-translation-mediated tight regulation of the expression of the alternative ribosome-rescue factor ArfA in Escherichia coli.

Ribosomes translating mRNA without an in-frame stop codon (non-stop mRNA) stall at its 3' end. In eubacteria, such ribosomes are rescued by SsrA-mediated trans-translation. Recently, we have shown that Escherichia coli ArfA (formerly YhdL) also rescues stalled ribosomes by a mechanism distinct from that of trans-translation.

The transcript from the σ(28)-dependent promoter is translationally inert in the expression of the σ(28)-encoding gene fliA in the fliAZ operon of Salmonella enterica serovar Typhimurium.

There are three classes of promoters for flagellar operons in Salmonella. Class 2 promoters are transcribed by σ(70) RNA polymerase in the presence of an essential activator, FlhD(4)C(2), and activated by an auxiliary regulator, FliZ. Class 3 promoters are transcribed by σ(28) RNA polymerase and repressed by an anti-σ(28) factor, FlgM.

FliZ acts as a repressor of the ydiV gene, which encodes an anti-FlhD4C2 factor of the flagellar regulon in Salmonella enterica serovar typhimurium.

YdiV acts as an anti-FlhD4C2 factor, which negatively regulates the class 2 flagellar operons in poor medium in Salmonella enterica serovar Typhimurium. On the other hand, one of the class 2 flagellar genes, fliZ, encodes a positive regulator of the class 2 operons. In this study, we found that the FliZ-dependent activation of class 2 operon expression was more profound in poor medium than in rich medium and not observed in the ydiV mutant background.

EAL domain protein YdiV acts as an anti-FlhD4C2 factor responsible for nutritional control of the flagellar regulon in Salmonella enterica Serovar Typhimurium.

Flagellar operons are divided into three classes with respect to their transcriptional hierarchy in Salmonella enterica serovar Typhimurium. The class 1 gene products FlhD and FlhC act together in an FlhD(4)C(2) heterohexamer, which binds upstream of the class 2 promoters to facilitate binding of RNA polymerase. In this study, we showed that flagellar expression was much reduced in the cells grown in poor medium compared to those grown in rich medium.

Comparing myotoxic effects of squalene synthase inhibitor, T-91485, and 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase inhibitors in human myocytes.

TAK-475 is a squalene synthase inhibitor, rapidly metabolized to T-91485 in vivo. We investigated the myotoxicities of T-91485 and 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase inhibitors in a human rhabdomyosarcoma cell line, RD, and in human skeletal myocytes. In differentiated RD cells, T-91485, atorvastatin (ATV) and simvastatin acid (SIM) inhibited cholesterol biosynthesis, with IC(50) values of 36, 2.

APPLICATION OF PRINCIPAL COMPONENT ANALYSIS TO FOOD TEXTURE MEASUREMENTS.

In order to clarify the relationship between different texture measurements, a principal component analysis was applied to the analysis of instrumental and sensory texture descriptions obtained on 72 samples of boiled plant protein representing hard gels, soft gels, and pastes. Twelve objective parameters were quantified using the Texturometer, the OKADA Gelometer, and the Curd Meter. Over 80% of the total variance could be explained by the first three components.