Imobilization of β-glucosidase using the cellulose-binding domain of Bacillus subtilis endo-β-1,4-glucanase

A recombinant plasmid pβCBD was constructed for immobilization of Cellulomonas fimi β-glucosidase (Cbg) using the cellulose-binding domain (CBD) of Bacillus subtilis BSE 616 endo-β-1,4-glucanase (Beg). The Cbg-CBD _Beg fusion protein, 80 kDa, was expressed in Escherichia coli and immobilized to Avicel. Cellobiose was completely hydrolyzed with the immobilized fusion protein. The fusion protein bound to Avicel retained full activity during continuous operation for 24 h at 4°C. This revised version was published online in November 2006 with corrections to the Cover Date.     

In silico-initiated cloning and molecular characterization of a novel human member of the L1 gene family of neural cell adhesion molecules

To discover genes contributing to mental retardation in 3p^- syndrome patients we have used in silico searches for neural genes in NCBI databases (dbEST and UniGene). An EST with strong homology to the rat CAM L1 gene subsequently mapped to 3p26 was used to isolate a full-length cDNA. Molecular analysis of this cDNA, referred to as CALL (cell adhesion L1-like), showed that it is encoded by a chromosome 3p26 locus and is a novel member of the L1 gene family of neural cell adhesion molecules. Multiple lines of evidence suggest CALL is likely the human ortholog of the murine gene CHL1: it is 84% identical on the protein level, has the same domain structure, same membrane topology, and a similar expression pattern. The orthology of CALL and CHL1 was confirmed by phylogenetic analysis. By in situ hybridization, CALL is shown to be expressed regionally in a timely fashion in the central nervous system, spinal cord, and peripheral nervous system during rat development. Northern analysis and EST representation reveal that it is expressed in the brain and also outside the nervous system in some adult human tissues and tumor cell lines. The cytoplasmic domain of CALL is conserved among other members of the L1 subfamily and features sequence motifs that may involve CALL in signal transduction pathways. Received: 14 April 1998 / Accepted: 18 June 1998     

Transient Acceleration of Epidermal Growth Factor Receptor Dynamics Produces Higher-Order Signaling Clusters

Cell signaling depends on spatiotemporally regulated molecular interactions. Although the movements of signaling proteins have been analyzed with various technologies, how spatial dynamics influence the molecular interactions that transduce signals is unclear. Here, we developed a single-molecule method to analyze the spatiotemporal coupling between motility, clustering, and signaling. The analysis was performed with the epidermal growth factor receptor (EGFR), which triggers signaling through its dimerization and phosphorylation after association with EGF. Our results show that the few EGFRs isolated in membrane subdomains were released by an EGF-dependent increase in their diffusion area, facilitating molecular associations and producing immobile clusters. Using a two-color single-molecule analysis, we found that the EGF-induced state transition alters the properties of the immobile clusters, allowing them to interact for extended periods with the cytoplasmic protein, GRB2. Our study reveals a novel correlation between this molecular interaction and its mesoscale dynamics, providing the initial signaling node.     

Analysis of the QTL for sleep homeostasis in mice: Homer1a is a likely candidate.

Electroencephalographic oscillations in the frequency range of 0.5-4 Hz, characteristic of slow-wave sleep (SWS), are often referred to as the delta oscillation or delta power. Delta power reflects sleep intensity and correlates with the homeostatic response to sleep loss. A published survey of inbred strains of mice demonstrated that the time course of accumulation of delta power varied among inbred strains, and the segregation of the rebound of delta power in BxD recombinant inbred strains identified a genomic region on chromosome 13 referred to as the delta power in SWS (or Dps1). The quantitative trait locus (QTL) contains genes that modify the accumulation of delta power after sleep deprivation. Here, we narrow the QTL using interval-specific haplotype analysis and present a comprehensive annotation of the remaining genes in the Dps1 region with sequence comparisons to identify polymorphisms within the coding and regulatory regions. We established the expression pattern of selected genes located in the Dps1 interval in sleep and wakefulness in B6 and D2 parental strains. Taken together, these steps reduced the number of potential candidate genes that may underlie the accumulation of delta power after sleep deprivation and explain the Dps1 QTL. The strongest candidate gene is Homer1a, which is supported by expression differences between sleep and wakefulness and the SNP polymorphism in the upstream regulatory regions.     

Development and validation of reverberation-chamber type whole-body exposure system for mobile-phone frequency

We developed whole-body exposure systems for in-vivo study at cellular (848.5 MHz) and Personal Communication System (PCS, 1,762.5 MHz) frequency, utilizing reverberation chamber. The field uniformities in the test area of the designed chambers were verified by simulation and measurement. In the whole-body exposure environment, Specific Absorption Rate (SAR) distributions inside of mice were calculated using Finite Difference Time Domain (FDTD) simulation. Key results are presented in this article.     

Hypertrophy and/or Hyperplasia: Dynamics of Adipose Tissue Growth

Adipose tissue grows by two mechanisms: hyperplasia (cell number increase) and hypertrophy (cell size increase). Genetics and diet affect the relative contributions of these two mechanisms to the growth of adipose tissue in obesity. In this study, the size distributions of epididymal adipose cells from two mouse strains, obesity-resistant FVB/N and obesity-prone C57BL/6, were measured after 2, 4, and 12 weeks under regular and high-fat feeding conditions. The total cell number in the epididymal fat pad was estimated from the fat pad mass and the normalized cell-size distribution. The cell number and volume-weighted mean cell size increase as a function of fat pad mass. To address adipose tissue growth precisely, we developed a mathematical model describing the evolution of the adipose cell-size distributions as a function of the increasing fat pad mass, instead of the increasing chronological time. Our model describes the recruitment of new adipose cells and their subsequent development in different strains, and with different diet regimens, with common mechanisms, but with diet- and genetics-dependent model parameters. Compared to the FVB/N strain, the C57BL/6 strain has greater recruitment of small adipose cells. Hyperplasia is enhanced by high-fat diet in a strain-dependent way, suggesting a synergistic interaction between genetics and diet. Moreover, high-fat feeding increases the rate of adipose cell size growth, independent of strain, reflecting the increase in calories requiring storage. Additionally, high-fat diet leads to a dramatic spreading of the size distribution of adipose cells in both strains; this implies an increase in size fluctuations of adipose cells through lipid turnover.