Michihiro Araki

Circadian regulation of intracellular G-protein signalling mediates intercellular synchrony and rhythmicity in the suprachiasmatic nucleus

Synchronous oscillations of thousands of cellular clocks in the suprachiasmatic nucleus (SCN), the circadian centre, are coordinated by precisely timed cell–cell communication, the principle of which is largely unknown. Here we show that the amount of RGS16 (regulator of G protein signalling 16), a protein known to inactivate Gαi, increases at a selective circadian time to allow time-dependent activation of intracellular cyclic AMP signalling in the SCN. Gene ablation of Rgs16 leads to the loss of circadian production of cAMP and as a result lengthens circadian period of behavioural rhythm. The temporally precise regulation of the cAMP signal by clock-controlled RGS16 is needed for the dorsomedial SCN to maintain a normal phase-relationship to the ventrolateral SCN. Thus, RGS16-dependent temporal regulation of intracellular G protein signalling coordinates the intercellular synchrony of SCN pacemaker neurons and thereby defines the 24 h rhythm in behaviour.

GEM-TREND: a web tool for gene expression data mining toward relevant network discovery

BackgroundDNA microarray technology provides us with a first step toward the goal of uncovering gene functions on a genomic scale. In recent years, vast amounts of gene expression data have been collected, much of which are available in public databases, such as the Gene Expression Omnibus (GEO). To date, most researchers have been manually retrieving data from databases through web browsers using accession numbers (IDs) or keywords, but gene-expression patterns are not considered when retrieving such data. The Connectivity Map was recently introduced to compare gene expression data by introducing gene-expression signatures (represented by a set of genes with up- or down-regulated labels according to their biological states) and is available as a web tool for detecting similar gene-expression signatures from a limited data set (approximately 7,000 expression profiles representing 1,309 compounds). In order to support researchers to utilize the public gene expression data more effectively, we developed a web tool for finding similar gene expression data and generating its co-expression networks from a publicly available database.ResultsGEM-TREND, a web tool for searching gene expression data, allows users to search data from GEO using gene-expression signatures or gene expression ratio data as a query and retrieve gene expression data by comparing gene-expression pattern between the query and GEO gene expression data. The comparison methods are based on the nonparametric, rank-based pattern matching approach of Lamb et al. (Science 2006) with the additional calculation of statistical significance. The web tool was tested using gene expression ratio data randomly extracted from the GEO and with in-house microarray data, respectively. The results validated the ability of GEM-TREND to retrieve gene expression entries biologically related to a query from GEO. For further analysis, a network visualization interface is also provided, whereby genes and gene annotations are dynamically linked to external data repositories.ConclusionGEM-TREND was developed to retrieve gene expression data by comparing query gene-expression pattern with those of GEO gene expression data. It could be a very useful resource for finding similar gene expression profiles and constructing its gene co-expression networks from a publicly available database. GEM-TREND was designed to be user-friendly and is expected to support knowledge discovery. GEM-TREND is freely available at http://cgs.pharm.kyoto-u.ac.jp/services/network.

Coupling between substrate binding and allosteric regulation in ribozyme catalysis

The contribution of substrate binding to allosteric regulation in the ribozyme catalysis has been investigated using allosteric ribozymes consisting of the hammerhead ribozyme and a flavin mononucleotide (FMN) aptamer. Kinetic parameters were measured for various lengths of the substrates with a wide range of binding energy. The maximum cleavage rate of each ribozyme was retained with the long substrates. However, the cleavage rates largely decreased by the truncation of the substrates according to loss in the free energy of substrate binding. The high sensitivity to the substrate lengths is attributed to the increase in the energetic requirement for the catalytic core folding, which is caused by the incorporation of the aptamer region. One role of FMN binding is assisting the promotion of the core folding through the stabilization of the aptamer domain. The allosteric effect is significantly expressed only when the substrate binding energy is insufficient for the core folding of the ribozyme-substrate complex. This type of allosteric interaction dominates the substrate dependency of another type of regulation. These results demonstrate that an adequate correlation between the type of regulation and the substrate binding is responsible for the effective allosteric interaction in the kinetic process.

Transporter engineering in biomass utilization by yeast

Abstract Biomass resources are attractive carbon sources for bioproduction because of their sustainability. Many studies have been performed using biomass resources to produce sugars as carbon sources for cell factories. Expression of biomass hydrolyzing enzymes in cell factories is an important approach for constructing biomass‐utilizing bioprocesses because external addition of these enzymes is expensive. In particular, yeasts have been extensively engineered to be cell factories that directly utilize biomass because of their manageable responses to many genetic engineering tools, such as gene expression, deletion and editing. Biomass utilizing bioprocesses have also been developed using these genetic engineering tools to construct metabolic pathways. However, sugar input and product output from these cells are critical factors for improving bioproduction along with biomass utilization and metabolic pathways. Transporters are key components for efficient input and output activities. In this review, we focus on transporter engineering in yeast to enhance bioproduction from biomass resources.

A 'cassette' RNase: site-selective cleavage of RNA by RNase S equipped with RNA-recognition segment.

RNase S is a unique protein comprising the non-covalent association of two components, the S-peptide and the S-protein. An RNA-recognition segment derived from the human immunodeficiency virus (HIV)-1 Rev protein was conjugated with the S-peptide to form a complex with the S-protein. The resulting RNase S bearing the RNA-recognition segment preferentially hydrolyzed a single position of the RNA stem-loop derived from the specific binding site for the Rev protein.

A Cassette Ribonuclease: Site Selective Cleavage of RNA by a Ribonuclease S-Bearing RNA-Recognition Segment

Elucidation of the two-dimensional and three-dimensional structures of RNA has recently been required in relation to their therapeutic potential as targets of RNA-oriented molecules, such as antisense nucleic acids and ribozymes. Structural elucidation of RNAs leads to an understanding of the replication mechanisms of RNA viruses, and also provides new target sites for antiviral drugs. We report here the creation of a novel Rnase, in which a conjugate of an RNA recognition peptide and the S-peptide were encapsulated as a cassette in RNase S (Figure 1A).