Genotoxicity of the volatile anaesthetic desflurane in human lymphocytes in vitro, established by comet assay

The aim of the present study was to estimate the genotoxicity of desflurane, applied as a volatile anaesthetic. The potential genotoxicity was determined by the comet assay as the extent of DNA fragmentation in human peripheral blood lymphocytes in vitro. The comet assay detects DNA strand breaks induced directly by genotoxic agents as well as DNA fragmentation due to cell death. Another anaesthetic, halothane, already proved to be a genotoxic agent, was used as a positive control. Both analysed drugs were capable of increasing DNA migration in a dose-dependent manner under experimental conditions applied. The results of the study demonstrated that the genotoxicity of desflurane was comparable with that of halothane. However, considering the pharmacodynamics of both drugs, the genotoxic activity of desflurane may be connected with a less harmful effect on the exposed patients or medical staff.     

A latent variable model for chemogenomic profiling

MOTIVATION: In haploinsufficiency profiling data, pleiotropic genes are often misclassified by clustering algorithms that impose the constraint that a gene or experiment belong to only one cluster. We have developed a general probabilistic model that clusters genes and experiments without requiring that a given gene or drug only appear in one cluster. The model also incorporates the functional annotation of known genes to guide the clustering procedure. RESULTS: We applied our model to the clustering of 79 chemogenomic experiments in yeast. Known pleiotropic genes PDR5 and MAL11 are more accurately represented by the model than by a clustering procedure that requires genes to belong to a single cluster. Drugs such as miconazole and fenpropimorph that have different targets but similar off-target genes are clustered more accurately by the model-based framework. We show that this model is useful for summarizing the relationship among treatments and genes affected by those treatments in a compendium of microarray profiles. AVAILABILITY: Supplementary information and computer code at http://genomics.lbl.gov/llda.     

Reliability analysis of microarray data using fuzzy c-means and normal mixture modeling based classification methods

MOTIVATION: A serious limitation in microarray analysis is the unreliability of the data generated from low signal intensities. Such data may produce erroneous gene expression ratios and cause unnecessary validation or post-analysis follow-up tasks. Therefore, the elimination of unreliable signal intensities will enhance reproducibility and reliability of gene expression ratios produced from microarray data. In this study, we applied fuzzy c-means (FCM) and normal mixture modeling (NMM) based classification methods to separate microarray data into reliable and unreliable signal intensity populations. RESULTS: We compared the results of FCM classification with those of classification based on NMM. Both approaches were validated against reference sets of biological data consisting of only true positives and true negatives. We observed that both methods performed equally well in terms of sensitivity and specificity. Although a comparison of the computation times indicated that the fuzzy approach is computationally more efficient, other considerations support the use of NMM for the reliability analysis of microarray data. AVAILABILITY: The classification approaches described in this paper and sample microarray data are available as Matlab( TM ) (The MathWorks Inc., Natick, MA) programs (mfiles) and text files, respectively, at http://rc.kfshrc.edu.sa/bssc/staff/MusaAsyali/Downloads.asp. The programs can be run/tested on many different computer platforms where Matlab is available. CONTACT: asyali@kfshrc.edu.sa.     

CGHAnalyzer: a stand-alone software package for cancer genome analysis using array-based DNA copy number data

SUMMARY: This synopsis provides an overview of array-based comparative genomic hybridization data display, abstraction and analysis using CGHAnalyzer, a software suite, designed specifically for this purpose. CGHAnalyzer can be used to simultaneously load copy number data from multiple platforms, query and describe large, heterogeneous datasets and export results. Additionally, CGHAnalyzer employs a host of algorithms for microarray analysis that include hierarchical clustering and class differentiation. AVAILABILITY: CGHAnalyzer, the accompanying manual, documentation and sample data are available for download at http://acgh.afcri.upenn.edu. This is a Java-based application built in the framework of the TIGR MeV that can run on Microsoft Windows, Macintosh OSX and a variety of Unix-based platforms. It requires the installation of the free Java Runtime Environment 1.4.1 (or more recent) (http://www.java.sun.com).     

Theoretical aspects of virus capsid assembly

A virus capsid is constructed from many copies of the same protein(s). Molecular recognition is central to capsid assembly. The capsid protein must polymerize in order to create a three-dimensional protein polymer. More than structure is required to understand this self-assembly reaction: one must understand how the pieces come together in solution.     

A loss-of-function mutation in AtYSL1 reveals its role in iron and nicotianamine seed loading

The Arabidopsis Yellow Stripe 1-Like (YSL) proteins have been identified by homology with the maize (Zea mays) Yellow Stripe 1 (YS1) transporter which is responsible for iron-phytosiderophore (PS) uptake by roots in response to iron shortage. Although dicotyledonous plants do not synthesize PS, they do synthesize the PS precursor nicotianamine, a strong metal chelator essential for maintenance of iron homeostasis and copper translocation. Furthermore, ZmYS1 and the rice (Oryza sativa) protein OsYSL2 have metal-nicotianamine transport activities in heterologous expression systems. In this work, we have characterized the function of AtYSL1 in planta. Two insertional loss-of-function ysl1 mutants of Arabidopsis were found to exhibit increased nicotianamine accumulation in shoots. More importantly, seeds of both ysl1 knockouts contained less iron and nicotianamine than wild-type seeds, even when produced by plants grown in the presence of an excess of iron. This phenotype could be reverted by expressing the wild-type AtYSL1 gene in ysl1 plants. ysl1 seeds germinated slowly, but this defect was rescued by an iron supply. AtYSL1 was expressed in the xylem parenchyma of leaves, where it was upregulated in response to iron excess, as well as in pollen and in young silique parts. This pattern is consistent with long-distance circulation of iron and nicotianamine and their delivery to the seed. Taken together, our work provides strong physiological evidence that iron and nicotianamine levels in seeds rely in part on AtYSL1 function.     

Design, synthesis, and evaluation of proline based melanocortin receptor ligands

A series of proline based melanocortin ligands has been developed on the basis of initial piperazine leads by using a more conformationally rigid scaffold. A number of these novel ligands showed significant binding affinity for MC3 and MC4 receptors.     

Invertebrate central pattern generation moves along

Central pattern generators (CPGs) are circuits that generate organized and repetitive motor patterns, such as those underlying feeding, locomotion and respiration. We summarize recent work on invertebrate CPGs which has provided new insights into how rhythmic motor patterns are produced and how they are controlled by higher-order command and modulatory interneurons.     

The monomer-dimer equilibrium of stromal cell-derived factor-1 (CXCL 12) is altered by pH, phosphate, sulfate, and heparin

Chemokines, like stromal cell-derived factor-1 (SDF1/CXCL12), are small secreted proteins that signal cells to migrate. Because SDF1 and its receptor CXCR4 play important roles in embryonic development, cancer metastasis, and HIV/AIDS, this chemokine signaling system is the subject of intense study. However, it is not known whether the monomeric or dimeric structure of SDF1 is responsible for signaling in vivo. Previous structural studies portrayed the SDF1 structure as either strictly monomeric in solution or dimeric when crystallized. Here, we report two-dimensional NMR, pulsed-field gradient diffusion and fluorescence polarization measurements at various SDF1 concentrations, solution conditions, and pH. These results demonstrate that SDF1 can form a dimeric structure in solution, but only at nonacidic pH when stabilizing counterions are present. Thus, while the previous NMR structural studies were performed under acidic conditions that strongly promote the monomeric state, crystallographic studies used nonacidic buffer conditions that included divalent anions shown here to promote dimerization. This pH-sensitive aggregation behavior is explained by a dense cluster of positively charged residues at the SDF1 dimer interface that includes a histidine side chain at its center. A heparin disaccharide shifts the SDF1 monomer-dimer equilibrium in the same manner as other stabilizing anions, suggesting that glycosaminoglycan binding may be coupled to SDF1 dimerization in vivo.     

Genetic structure in the coral-reef-associated Banggai cardinalfish, Pterapogon kauderni

In this study, we used 11 polymorphic microsatellite loci to show that oceanic distances as small as 2-5 km are sufficient to produce high levels of population genetic structure (multilocus F(ST) as high as 0.22) in the Banggai cardinalfish (Pterapogon kauderni), a heavily exploited reef fish lacking a pelagic larval dispersal phase. Global F(ST) among all populations, separated by a maximum distance of 203 km, was 0.18 (R(ST) = 0.35). Moreover, two lines of evidence suggest that estimates of F(ST) may actually underestimate the true level of genetic structure. First, within-locus F(ST) values were consistently close to the theoretical maximum set by the average within-population heterozygosity. Second, the allele size permutation test showed that R(ST) values were significantly larger than F(ST) values, indicating that populations have been isolated long enough for mutation to have played a role in generating allelic variation among populations. The high level of microspatial structure observed in this marine fish indicates that life history traits such as lack of pelagic larval phase and a good homing ability do indeed play a role in shaping population genetic structure in the marine realm.