Wang Et Al. (wang + et_al)

Distribution by Scientific Domains

Selected Abstracts

Polycomblike-2 -deficient mice exhibit normal left,right asymmetry

Shusheng Wang
Abstract Polycomb group (PcG) proteins are required for maintaining the repressed state of developmentally important genes such as homeotic genes. Polycomblike (Pcl), a member of PcG genes with two characteristic PHD finger motifs, was shown to strongly enhance the effects of PcG genes in Drosophila. Three Pcl genes exist in the mouse genome, with their function largely unknown. Our previous studies demonstrate that the chick Pcl2 is essential for the left,right asymmetry by silencing Shh expression in the right side of the node (Wang et al., [2004b] Development 131:4381,4391). To elucidate the in vivo role of mouse Pcl2, we generated Pcl2 mutant mice. Phenotypic analyses indicate the normal development of left,right asymmetry in the Pcl2 mutant mice. However, Pcl2 mutant mice exhibit posterior transformation of axial skeletons and other phenotypic defects, with a relatively low penetrance. These results demonstrate that Pcl2 is dispensable for the normal left,right axis development in mice. Developmental Dynamics 236:853,861, 2007. 2007 Wiley-Liss, Inc. [source]

Microarray analysis of acaricide-inducible gene expression in the southern cattle tick, Rhipicephalus (Boophilus) microplus

L. Saldivar
Abstract Acaricide-inducible differential gene expression was studied in larvae of Rhipicephalus (Boophilus) microplus using a microarray-based approach. The acaricides used were: coumaphos, permethrin, ivermectin, and amitraz. The microarrays contained over 13 000 probes, having been derived from a previously described R. microplus gene index (BmiGI Version 2; Wang et al., 2007). Relative quantitative reverse transcriptase-PCR, real time PCR, and serial analysis of gene expression data was used to verify microarray data. Among the differentially expressed genes with informative annotation were legumain, glutathione S-transferase, and a putative salivary gland-associated protein. [source]

A conceptual framework and belief-function approach to assessing overall information quality

Matthew Bovee
We develop an information quality model based on a user-centric view adapted from Financial Accounting Standards Board,1 Wang et al.,2 and Wang and Strong.3 The model consists of four essential attributes (or assertions): accessibility, interpretability, relevance, and integrity. Four subattributes lead to an evaluation of integrity: accuracy, completeness, consistency, and existence. These subattributes relating to integrity are intrinsic in nature and relate to the process of how the information was created and the first three attributes: (accessibility, interpretability, and relevance) are extrinsic in nature. We present our model as an evidential network under the belief-function framework to permit user assessment of quality parameters. Two algorithms for combining assessments into an overall IQ measure are explored, and examples in the domain of medical information are used to illustrate key concepts. We discuss two scenarios, online user and assurance provider, which reflect two likely and important aspects of IQ evaluation currently facing information users,concerns about the impact of poor quality online information and the need for IQ assurance. 2003 Wiley Periodicals, Inc. [source]

Development and clinical application of nucleated red blood cell counting and staging on the automated haematology analyser XE-2100TM

F.-S. Wang
Summary We initially developed a new flow cytometric (FCM) reference method for the enumeration and staging of nucleated red blood cells (NRBC) in 1997 [Wang et al., 1998 (XIth International Symposium on Technological Innovations in Laboratory Haematology, Banff, Canada, 1998); Tsuji et al., 1999 (Cytometry, 1999)]. The method used CD45 antibody and propidium iodide staining to separate NRBCs from other cells. Accuracy and precision were enhanced because larger numbers of cells were counted than was possible with the manual method. We also developed a method for automated NRBC counting on a haematology analyser, the XE-2100 (Wang, 1988). NRBC were separated from other cells using a special lysing buffer and a fluorescent dye. The XE-2100 was found to detect peripheral and cord blood NRBC accurately and precisely when compared with cell morphology or FCM control methods. The FCM NRBC staging method was established through the identification of different NRBC populations following the novel staining and lysing method. To evaluate the method further, we sorted samples containing NRBCs using a FACSort and investigated NRBC staging on the Sysmex XE-2100TM based on the cell sorting results. Data were analysed using special software (ida). First, we used the data in various parameter combinations. We then established gates to classify the NRBC populations. Finally, we analysed blood specimens from patients with different types of diseases to explore possible clinical applications. [source]

Edge-superconnectivity of cages

X. Marcote
Abstract A graph with minimum degree , is said to be edge-superconnected if each minimum edge-cut consists of all the edges incident with some vertex (so , = ,). A smallest ,-regular graph G with girth g is said to be a (,, g)-cage. We show that every (,, g)-cage with odd girth is edge-superconnected. This result strengthens one obtained by Wang et al. (, = , for every such cage) and supports the conjecture of Fu et al. that all (,, g)-cages are ,-connected. 2003 Wiley Periodicals, Inc. [source]

On the construction of combined k -fault-tolerant Hamiltonian graphs

Chun-Nan Hung
Abstract A graph G is a combined k -fault-tolerant Hamiltonian graph (also called a combined k -Hamiltonian graph) if G , F is Hamiltonian for every subset F , (V(G) , E(G)) with |F| = k. A combined k -Hamiltonian graph G with |V(G)| = n is optimal if it has the minimum number of edges among all n -node k -Hamiltonian graphs. Using the concept of node expansion, we present a powerful construction scheme to construct a larger combined k -Hamiltonian graph from a given smaller graph. Many previous graphs can be constructed by the concept of node expansion. We also show that our construction maintains the optimality property in most cases. The classes of optimal combined k -Hamiltonian graphs that we constructed are shown to have a very good diameter. In particular, those optimal combined 1-Hamiltonian graphs that we constructed have a much smaller diameter than that of those constructed previously by Mukhopadhyaya and Sinha, Harary and Hayes, and Wang et al. 2001 John Wiley & Sons, Inc. [source]

Protease-activated receptors: novel central role in modulation of gastric functions

K. N. Browning
Abstract, Protease-activated receptors (PARs) are members of a subfamily of G-protein-coupled receptors that regulate diverse cell functions in response to proteolytic cleavage of an anchored peptide domain that acts as a ,tethered' receptor-activating ligand. PAR-1 and PAR-2 in particular are present throughout the gastrointestinal (GI) tract and play prominent roles in the regulation of GI epithelial function, motility, inflammation and nociception. In a recent article in Neurogastroenterology and Motility, Wang et al. demonstrate, for the first time, that PAR-1 and PAR-2 are present on preganglionic parasympathetic neurons within the rat brainstem. As in other cellular systems, proteases such as thrombin and trypsin activate PAR-1 and PAR-2 on neurons of the dorsal motor nucleus of the vagus (DMV), leading to an increase in intracellular calcium levels via signal transduction mechanisms involving activation of phospholipase C and inositol triphosphate (IP3). The authors also report that the level of PAR-1 and PAR-2 transcripts in DMV tissue is increased following experimental colitis, suggesting that inflammatory conditions may modulate neuronal behavior or induce plasticity within central vagal neurocircuits. It seems reasonable to hypothesize, therefore, that the activity and behavior of vagal efferent motoneurons may be modulated directly by local and/or systemic proteases released during inflammation. This, in turn, may contribute to the increased incidence of functional GI disorders, including gastric dysmotility, delayed emptying and gastritis observed in patients with inflammatory bowel diseases. [source]

SAD phasing by combination of direct methods with the SOLVE/RESOLVE procedure.

In the paper by Wang et al. (2004) an error in equation (18) was published. The correct version of this equation is given below. The following acknowledgement was also missing from the paper. This work is supported by the Innovation Project of the Chinese Academy of Sciences and the 973 Project (Grant Nos. G1999075604 and 2002CB713801) of the Ministry of Science and Technology of China. [source]

A small issue addressed

BIOESSAYS, Issue 4 2003
Tina L. Gumienny
Cell size is an important determinant of body size. While the genetic mechanisms of cell size regulation have been well studied in yeast, this process has only recently been addressed in multicellular organisms. One recent report by Wang et al. (2002) shows that in the nematode C. elegans, the TGF,-like pathway acts in the hypodermis to regulate cell size and consequently body size.1 This finding is an exciting step in discovering the molecular mechanisms that control cell and body size. BioEssays 25:305,308, 2003. 2003 Wiley Periodicals, Inc. [source]

Regression Calibration in Semiparametric Accelerated Failure Time Models

BIOMETRICS, Issue 2 2010
Menggang Yu
Summary In large cohort studies, it often happens that some covariates are expensive to measure and hence only measured on a validation set. On the other hand, relatively cheap but error-prone measurements of the covariates are available for all subjects. Regression calibration (RC) estimation method (Prentice, 1982,,Biometrika,69, 331,342) is a popular method for analyzing such data and has been applied to the Cox model by Wang et al. (1997,,Biometrics,53, 131,145) under normal measurement error and rare disease assumptions. In this article, we consider the RC estimation method for the semiparametric accelerated failure time model with covariates subject to measurement error. Asymptotic properties of the proposed method are investigated under a two-phase sampling scheme for validation data that are selected via stratified random sampling, resulting in neither independent nor identically distributed observations. We show that the estimates converge to some well-defined parameters. In particular, unbiased estimation is feasible under additive normal measurement error models for normal covariates and under Berkson error models. The proposed method performs well in finite-sample simulation studies. We also apply the proposed method to a depression mortality study. [source]