Composite Likelihood Inference in a Discrete Latent Variable Model for Two-Way “Clustering-by-Segmentation” Problems

We consider a discrete latent variable model for two-way data arrays, which allows one to simultaneously produce clusters along one of the data dimensions (e.g., exchangeable observational units or features) and contiguous groups, or segments, along the other (e.g., consecutively ordered times or locations). The model relies on a hidden Markov structure but, given its complexity, cannot be estimated by full maximum likelihood. Therefore, we introduce a composite likelihood methodology based on considering different subsets of the data. The proposed approach is illustrated by simulation, and with an application to genomic data.     

Practical halving; the Nelumbo nucifera evidence on early eudicot evolution

We present a stepwise optimal genome halving algorithm designed for large eukaryote genomes with largely single-copy genes, taking advantage of a signature pattern of paralog distribution in ancient polyploids. This is applied to the genome of Nelumbo nucifera, the sacred lotus, which is the descendant of a duplicated basal eudicot genome. In concert with the reconstructed ancestor of the grape, we investigate early events in eudicot evolution and show that the chromosome number of the common ancestor of lotus and grape was likely between 5 and 7. We show that the duplication of the ancestor of lotus and the triplication of the ancestor of grape were not closely preceded by any additional such event before the divergence of their two lineages.     

Genomics of selected human odorant receptors

Single nucleotide polymorphisms (SNPs) in odorant receptor genes may influence the protein sequence and consequently also the function of the receptors. An analysis of the HapMap data for human OR3A1 was performed and provided evidence that genetic differences subject to ancestry and gender can be recognized. A genomic comparison of individuals shows the diversity of odorant receptor genes and therefore potentially the variety of the sense of smell. At this time, two complete human genomes are available in public domain, which we used for this purpose. Correspondence: Anton Beyer, Institute of Theoretical Chemistry, University of Vienna, A-1090 Vienna, Austria.     

Cigarette smoke extract induced protein phosphorylation changes in human microvascular endothelial cells in vitro

Phosphorylation is the most widely studied posttranslational modification (PTM) and is an important regulatory mechanism used during cellular responses to external stimuli. The kinases and phosphatases that regulate protein phosphorylation are known to be affected in many human diseases. Cigarette smoking causes cardiovascular disease (CVD). Endothelial cells play a pivotal role in CVD initiation and development; however, there have been limited investigations of the specific signaling cascades and protein phosphorylations activated by cigarette smoke in endothelial cells. The purpose of this research was to better understand the differential protein phosphorylation in endothelial cells stimulated with extracts of cigarette smoke total particulate matter (CS-TPM) in vitro. Human microvascular endothelial cells were exposed in vitro to CS-TPM at concentrations that were shown to cause endothelial cell dysfunction. The phosphorylated proteins were isolated using phosphoprotein-specific chromatography, followed by enzymatic digestion and nano-flow capillary liquid chromatography (ncap-LC) coupled to high resolution mass spectrometry. This study putatively identified 94 proteins in human microvascular endothelial cells that were differentially bound to a phosphoprotein-specific chromatography column following exposure to CS-TPM suggesting differential phosphorylation. Pathway analysis has also been conducted and confirmations of several observations have been made using immunoaffinity-based techniques (e.g., Western blotting). Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Identification of Casiopeina II-gly secondary targets through a systems pharmacology approach

Casiopeinas are a group of copper-based compounds designed to be used as less toxic, more efficient chemotherapeutic agents. In this study, we analyzed the in vitro effects of Casiopeina II-gly on the expression of canonical biological pathways. Using microarray data from HeLa cell lines treated with Casiopeina II-gly, we identified biological pathways that are perturbed after treatment. We present a novel approach integrating pathway analysis and network theory: The Pathway Crosstalk Network. We constructed a network with deregulated pathways, featuring links between those pathways that crosstalk with each other. We identified modules grouping deregulated pathways that are functionally related. Through this approach, we were able to identify three features of Casiopeina treatment: (a) Perturbation of signaling pathways, related to induction of apoptosis; (b) perturbation of metabolic pathways, and (c) activation of immune responses. These findings can be useful to drive new experimental exploration on their role in adverse effects and efficacy of Casiopeinas.     

Salt Stress Proteins Identified by a Functional Approach in Yeast

Summary. We have performed functional genomics of salt stress by overexpression of gene libraries in yeast and selection for salt tolerance. Thirty halotolerance genes were isolated from yeast, Arabidopsis, and sugar beet. The results indicate that Na⁺ transport (uptake, efflux, and compartmentation), sulfate activation, RNA processing, and protein synthesis are crucial for salt tolerance.Received September 3, 2002; accepted September 16, 2002 Published online June 12, 2003     

Elemental mass spectrometry for quantitative proteomics

In the last decade mass-spectrometry-based proteomics has become an indispensable analytical tool for molecular biology, cellular biology and, lately, for the emerging systems biology. This review summarises the evolution and great potential of analytical methods based on elemental mass-spectrometric detection for quantitative proteomic analysis.     

Temperature-dependence of preconditioning for lengthened capillary DNA sequencing

A previous study shows that electrophoretic preconditioning of a commercial polymer solution increases the spacing and resolution of DNA fragments fractionated in this solution by CE at 50 degrees C (Griess, G. A. et al., Electrophoresis 2005, 26, 102). The present study shows that this preconditioning effect on peak spacing progressively increases when the temperature of preconditioning increases to 70 degrees C, though fractionation is still performed at 50 degrees C. An increase in peak sharpness accompanies the increase in peak separation for DNA fragments longer than 200 bases. Changing the preconditioning temperature from 50 to 70 degrees C optimally improves resolution of fragment analysis in the range of 600-2000 nucleotides. When DNA sequencing is performed with automated base calling and 70 degrees C preconditioning at 319 V/cm (47 cm long capillary, Applied Biosystems 310 apparatus), the range of high-quality base calls is increased by 25% to 750; the range of low-quality base calls is increased by about 100% to 1200 in comparison to DNA sequencing without preconditioning.