Showing papers in "Omics A Journal of Integrative Biology in 2010"

Adaptive response and tolerance to weak acids in Saccharomyces cerevisiae: a genome-wide view.

Abstract: Weak acids are widely used as food preservatives (e.g., acetic, propionic, benzoic, and sorbic acids), herbicides (e.g., 2,4-dichlorophenoxyacetic acid), and as antimalarial (e.g., artesunic and artemisinic acids), anticancer (e.g., artesunic acid), and immunosuppressive (e.g., mycophenolic acid) drugs, among other possible applications. The understanding of the mechanisms underlying the adaptive response and resistance to these weak acids is a prerequisite to develop more effective strategies to control spoilage yeasts, and the emergence of resistant weeds, drug resistant parasites or cancer cells. Furthermore, the identification of toxicity mechanisms and resistance determinants to weak acid-based pharmaceuticals increases current knowledge on their cytotoxic effects and may lead to the identification of new drug targets. This review integrates current knowledge on the mechanisms of toxicity and tolerance to weak acid stress obtained in the model eukaryote Saccharomyces cerevisiae using genome-wide approaches and more detailed gene-by-gene analysis. The major features of the yeast response to weak acids in general, and the more specific responses and resistance mechanisms towards a specific weak acid or a group of weak acids, depending on the chemical nature of the side chain R group (R-COOH), are highlighted. The involvement of several transcriptional regulatory networks in the genomic response to different weak acids is discussed, focusing on the regulatory pathways controlled by the transcription factors Msn2p/Msn4p, War1p, Haa1p, Rim101p, and Pdr1p/Pdr3p, which are known to orchestrate weak acid stress response in yeast. The extrapolation of the knowledge gathered in yeast to other eukaryotes is also attempted.

A persistent and diverse airway microbiota present during chronic obstructive pulmonary disease exacerbations.

Abstract: Acute exacerbations of chronic obstructive pulmonary disease (COPD) are a major source of morbidity and contribute significantly to healthcare costs. Although bacterial infections are implicated in nearly 50% of exacerbations, only a handful of pathogens have been consistently identified in COPD airways, primarily by culture-based methods, and the bacterial microbiota in acute exacerbations remains largely uncharacterized. The aim of this study was to comprehensively profile airway bacterial communities using a culture-independent microarray, the 16S rRNA PhyloChip, of a cohort of COPD patients requiring ventilatory support and antibiotic therapy for exacerbation-related respiratory failure. PhyloChip analysis revealed the presence of over 1,200 bacterial taxa representing 140 distinct families, many previously undetected in airway diseases; bacterial community composition was strongly influenced by the duration of intubation. A core community of 75 taxa was detected in all patients, many of which are known pathogens. Bacterial community diversity in COPD airways is substantially greater than previously recognized and includes a number of potential pathogens detected in the setting of antibiotic exposure. Comprehensive assessment of the COPD airway microbiota using high-throughput, culture-independent methods may prove key to understanding the relationships between airway bacterial colonization, acute exacerbation, and clinical outcomes in this and other chronic inflammatory airway diseases.

Mass Spectrometry and Glycomics

Abstract: Glycosylation defines the adhesive properties of animal cell surfaces and the surrounding extracellular environments. Because cells respond to stimuli by altering glycan expression, glycan structures vary according to spatial location in tissue and temporal factors. These dynamic structural expression patterns, combined with the essential roles glycans play in physiology, drive the need for analytical methods for glycoconjugates. In addition, recombinant glycoprotein drug products represent a multibillion dollar market. Effective analytical methods are needed to speed the identification of new targets and the development of industrial glycoprotein products, both new and biosimilar. Mass spectrometry is an enabling technology in glycomics. This review summarizes mass spectrometry of glycoconjugate glycans. The intent is to summarize appropriate methods for glycans given their chemical properties as distinct from those of proteins, lipids, and small molecule metabolites. Special attention is given ...

The Sialome—Far More Than the Sum of Its Parts

Abstract: The glycome is defined as the glycan repertoire of cells, tissues, and organisms, as found under specified conditions. The vastly diverse glycome is generated by a nontemplate driven biosynthesis, which is indirectly encoded in the genome, and very dynamic. Due to this overwhelming diversity, glycomic analysis must be approached at different hierarchical levels of complexity. In this review five such levels of complexity and the experimental approaches used for analysis at each level are discussed for a subclass of the glycome: the sialome. The sialome, in analogy to the canopy of a forest, covers the cell membrane with diverse array of complex sialylated structures. Sialome complexity includes modification of sialic acid core structure (the leaves and flowers), the linkage to the underlying sugar (the stems), the identity, and arrangement of the underlying glycans (the branches), the structural attributes of the underlying glycans (the trees), and finally, the spatial organization of the sialoglycans in relation to components of the intact cell surface (the forest). Understanding the full complexity of the sialome thus requires combined analyses at multiple levels, that is, the sialome is far more than the sum of its parts.

Transcriptional Regulation in Yeast during Diauxic Shift and Stationary Phase

Abstract: The preferred source of carbon and energy for yeast cells is glucose. When yeast cells are grown in liquid cultures, they metabolize glucose predominantly by glycolysis, releasing ethanol in the medium. When glucose becomes limiting, the cells enter diauxic shift characterized by decreased growth rate and by switching metabolism from glycolysis to aerobic utilization of ethanol. When ethanol is depleted from the medium, cells enter quiescent or stationary phase G0. Cells in diauxic shift and stationary phase are stressed by the lack of nutrients and by accumulation of toxic metabolites, primarily from the oxidative metabolism, and are differentiated in ways that allow them to maintain viability for extended periods of time. The transition of yeast cells from exponential phase to quiescence is regulated by protein kinase A, TOR, Snf1p, and Rim15p pathways that signal changes in availability of nutrients, converge on transcriptional factors Msn2p, Msn4p, and Gis1p, and elicit extensive reprogrammin...

Genomic expression program involving the Haa1p-regulon in Saccharomyces cerevisiae response to acetic acid.

Abstract: The alterations occurring in yeast genomic expression during early response to acetic acid and the involvement of the transcription factor Haa1p in this transcriptional reprogramming are described in this study. Haa1p was found to regulate, directly or indirectly, the transcription of approximately 80% of the acetic acid-activated genes, suggesting that Haa1p is the main player in the control of yeast response to this weak acid. The genes identified in this work as being activated in response to acetic acid in a Haa1p-dependent manner include protein kinases, multidrug resistance transporters, proteins involved in lipid metabolism, in nucleic acid processing, and proteins of unknown function. Among these genes, the expression of SAP30 and HRK1 provided the strongest protective effect toward acetic acid. SAP30 encode a subunit of a histone deacetylase complex and HRK1 encode a protein kinase belonging to a family of protein kinases dedicated to the regulation of plasma membrane transporters activi...

Lectin Microarrays for Glycomic Analysis

Abstract: Glycomics is the study of comprehensive structural elucidation and characterization of all glycoforms found in nature and their dynamic spatiotemporal changes that are associated with biological processes. Glycocalyx of mammalian cells actively participate in cell-cell, cell-matrix, and cell-pathogen interactions, which impact embryogenesis, growth and development, homeostasis, infection and immunity, signaling, malignancy, and metabolic disorders. Relative to genomics and proteomics, glycomics is just growing out of infancy with great potential in biomedicine for biomarker discovery, diagnosis, and treatment. However, the immense diversity and complexity of glycan structures and their multiple modes of interactions with proteins pose great challenges for development of analytical tools for delineating structure function relationships and understanding glycocode. Several tools are being developed for glycan profiling based on chromatography,m mass spectrometry, glycan microarrays, and glyco-informatics. Lectins, which have long been used in glyco-immunology, printed on a microarray provide a versatile platform for rapid high throughput analysis of glycoforms of biological samples. Herein, we summarize technological advances in lectin microarrays and critically review their impact on glycomics analysis. Challenges remain in terms of expansion to include nonplant derived lectins, standardization for routine clinical use, development of recombinant lectins, and exploration of plant kingdom for discovery of novel lectins.

Proteoglycomics: Recent progress and future challenges

Abstract: Proteoglycomics is a systematic study of structure, expression, and function of proteoglycans, a posttranslationally modified subset of a proteome. Although relying on the established technologies of proteomics and glycomics, proteoglycomics research requires unique approaches for elucidating structure-function relationships of both proteoglycan components, glycosaminoglycan chain, and core protein. This review discusses our current understanding of structure and function of proteoglycans, major players in the development, normal physiology, and disease. A brief outline of the proteoglycomic sample preparation and analysis is provided along with examples of several recent proteoglycomic studies. Unique challenges in the characterization of glycosaminoglycan component of proteoglycans are discussed, with emphasis on the many analytical tools used and the types of information they provide.

Peripheral blood mononuclear cells as a model to study the response of energy homeostasis-related genes to acute changes in feeding conditions.

Abstract: Peripheral blood mononuclear cells (PBMCs) are readily accessible biological material and a potential tissue source to discover novel biomarkers of response to environmental exposures including nutrition. We analyzed whether PBMCs could reflect molecular changes that take place in response to different feeding conditions in key organs/tissues involved in energy homeostasis. We studied energy balance-related genes whose expression was altered in normoweight (control) rats and in diet-induced (cafeteria) obese rats in response to ad libitum feeding, 14-h fasting, and 6-h refeeding after fasting, using whole-genome microarray analysis. In PBMCs, the expression of the genes central to energy metabolism was altered by the feeding conditions. The number of affected genes was 75 in the control rats, but only 23 in the cafeteria obese rats. Most of these genes play a role in metabolic pathways regulated by nutritional changes, such as lipid metabolism (the metabolic pathway mainly reflected in blood cells), carbohydrate metabolism, central energy metabolism, respiratory chain/mitochondrial ATPase system, and food intake regulation. Importantly, our results showed a similar behavior to that of the mesenteric white adipose tissue. In conclusion, metabolic adaptations to acute changes in feeding conditions are reflected in the expression of genes central to energy homeostasis in PBMCs of normoweight rats, while response is impaired in cafeteria obese animals. The lower number of genes affected in obese animals indicates impaired nutritional regulation. PBMCs appear as a suitable potential model to characterize metabolic adaptations to food intake and body weight maintenance in experimental animals. These findings may also inform the development of future peripheral tissue models in the emerging field of clinical nutrigenomics.

Dynamic Transcriptional and Metabolic Responses in Yeast Adapting to Temperature Stress

Abstract: Understanding the response processes in cellular systems to external perturbations is a central goal of large-scale molecular profiling experiments. We investigated the molecular response of yeast to increased and lowered temperatures relative to optimal reference conditions across two levels of molecular organization: the transcriptome using a whole yeast genome microarray and the metabolome applying the gas chromatography/mass spectrometry (GC/MS) technology with in vivo stable-isotope labeling for accurate relative quantification of a total of 50 different metabolites. The molecular adaptation of yeast to increased or lowered temperatures relative control conditions at both the metabolic and transcriptional level is dominated by temperature-inverted differential regulation patterns of transcriptional and metabolite responses and the temporal response observed to be biphasic. The set of previously described general environmental stress response (ESR) genes showed particularly strong temperature...

ChIP-seq and Functional Analysis of the SOX2 Gene in Colorectal Cancers.

Abstract: SOX2 is an HMG box containing transcription factor that has been implicated in various types of cancer, but its role in colorectal cancers (CRC) has not been studied. Here we show that SOX2 is overexpressed in CRC tissues compared with normal adjacent tissues using immunohistochemical staining and RT-PCR. We also observed an increased SOX2 expression in nucleus of colorectal cancer tissues (46%, 14/30 cases vs. 7%, 2/30 adjacent tissues). Furthermore, knockdown of SOX2 in SW620 colorectal cancer cells decreased their growth rates in vitro cell line, and in vivo in xenograft models. ChIP-Seq analysis of SOX2 revealed a consensus sequence of wwTGywTT. An integrated expression profiling and ChIP-seq analysis show that SOX2 is involved in the BMP signaling pathway, steroid metabolic process, histone modifications, and many receptor-mediated signaling pathways such as IGF1R and ITPR2 (Inositol 1,4,5-triphosphate receptor, type 2).

Glycan characterization of PSA 2-DE subforms from serum and seminal plasma.

Abstract: Prostate-specific antigen (PSA) two-dimensional electrophoresis (2-DE) subforms (F1-F5) have been described to be altered in prostate cancer (PCa) compared to benign prostatic hyperplasia (BPH). To understand their molecular differences, characterization of these subforms from PCa serum and seminal plasma, namely, at the glycan level, was performed. PSA 2-DE subforms from two serum PCa samples and seminal plasma were analyzed by N-glycan sequencing using high-performance liquid chromatography (HPLC) combined with exoglycosidase array digestions and by mass spectrometry. F1, F2, and F3 subforms showed the same N-glycan pattern, which contained higher levels of sialic acid than the F4 subform, whereas the F5 subform was unglycosylated. When comparing PSA subforms from PCa with seminal plasma, a decrease in sialylation was observed. Furthermore, the analysis of F3, the more abundant PSA subform, showed a higher proportion of alpha 2-3 sialic acid and a decrease in core fucosylated glycans in the PCa sample. These N-glycan changes in PCa PSA subforms highlight the importance of glycosylation as an indicator of PCa disease.

ConsensusCluster: A Software Tool for Unsupervised Cluster Discovery in Numerical Data

Abstract: We have created a stand-alone software tool, ConsensusCluster, for the analysis of high-dimensional single nucleotide polymorphism (SNP) and gene expression microarray data. Our software implements the consensus clustering algorithm and principal component analysis to stratify the data into a given number of robust clusters. The robustness is achieved by combining clustering results from data and sample resampling as well as by averaging over various algorithms and parameter settings to achieve accurate, stable clustering results. We have implemented several different clustering algorithms in the software, including K-Means, Partition Around Medoids, Self-Organizing Map, and Hierarchical clustering methods. After clustering the data, ConsensusCluster generates a consensus matrix heatmap to give a useful visual representation of cluster membership, and automatically generates a log of selected features that distinguish each pair of clusters. ConsensusCluster gives more robust and more reliable clusters than common software packages and, therefore, is a powerful unsupervised learning tool that finds hidden patterns in data that might shed light on its biological interpretation. This software is free and available from http://code.google.com/p/consensus-cluster .

Albumin overload induces apoptosis in renal tubular epithelial cells through a CHOP-dependent pathway.

Abstract: The proteinuria-induced apoptosis of proximal tubular cells (PTCs) plays a crucial role in renal tubulointerstitial injury in chronic kidney disease. Recent studies have shown that endoplasmic reticulum (ER) stress is involved in proteinuria-induced apoptosis of PTCs. Our study showed that albumin overload led to ER stress, CCAAT/enhancer-binding protein-homologous protein (CHOP), and PKR-like kinase (PERK) activation and to apoptosis of PTCs in proteinuria patients. The apoptotic index of proximal renal tubular cells in the nephrotic kidneys was about 13-fold higher than that in control kidneys. The increased tubular expression of GRP78, ORP150, and CHOP and nuclear localization of CHOP in nephrotic kidneys were also detected. The expression of GRP78, CHOP, PERK, and phosphorylated PERK increased proportionately with HSA overload in a dose- and time-dependent manner. Knockdown of CHOP by siRNA significantly reduced the HSA-induced apoptosis of HKC. The expression of PERK did not significantly change, but the phosphorylation of PERK increased. Furthermore, knockdown of PERK significantly inhibited HSA-induced CHOP expression, suppressing apoptosis in HKCs by 2.48-fold compared to controls. Overexpression of CHOP enhanced the apoptosis of HKC induced by albumin, no significant difference was observed in the expression of PERK, whereas the phosphorylation of PERK decreased. Our data indicated that proteinuria induces ER stress in renal tubular cells, which may subsequently lead to tubular damage through a PERK-CHOP-dependent pathway. This ER stress-induced apoptosis pathway may contribute to renal tubulointerstitial injury by proteinuria in chronic kidney disease.

Toward a genomic view of the gene expression program regulated by osmostress in yeast.

Abstract: Osmostress triggers profound adaptive changes in the physiology of the cell with a great impact on gene expression. Saccharomyces cerevisiae has served as an instructive model system to unravel the complexity of the stress response at the transcriptional level. The main signal transduction pathways like the HOG (high osmolarity glycerol) MAP kinase cascade or the protein kinase A pathway regulate multiple specific transcription factors to accomplish large changes in the expression pattern of the genome. Transcription profiling and proteomic studies give us an idea about the impact of osmostress on gene expression and the overall protein composition. Recent genome wide location studies for several transcription factors and signaling kinases involved in the transcriptional stress response shed light on the genomic organization of the osmostress response at the level of the dynamic association of regulators with chromatin. Finally, global surveys of mRNA stability complete our picture of the mechani...

The lectin riddle: glycoproteins fractionated from complex mixtures have similar glycomic profiles.

Abstract: One common method used for analyzing the glycoproteome is chromatography using multiple lectins that display different affinities toward oligosaccharide structures. Much has been done to determine lectin affinity using standard glycoproteins with known glycosylation; however, a knowledge of the selectivity and specificity of lectins exposed to complex mixtures of proteins is required if they are to be used as a means of studying the glycoproteome. In the present study, three lectins (Concanavalin A, Jacalin, and Wheat Germ Agglutinin) were used to fractionate glycoproteins from two different complex environments: (1) cell membranes and (2) plasma. Reproducible enrichment of glycoproteins from these samples has been shown to result from the combined use of these lectins. However, the global glycan profiles of the released N- and O-linked oligosaccharides from the glycoproteins retained by the lectins, and from those glycoproteins that did not bind, using both these complex samples, were found to b...

Association of Body Fat Distribution with Proinflammatory Gene Expression in Peripheral Blood Mononuclear Cells from Young Adult Subjects

Abstract: Peripheral blood mononuclear cells (PBMC) measurements have proved useful in recent studies to discern peripheral biomarkers for common complex diseases and for understanding host responses to drugs and nutrition in personalized medicine. Despite the initial promising data from PBMC, there is little information, however, on inflammatory and immune gene regulation in the context of body fat distribution and metabolic features in healthy adults. We investigated the putative association of body fat distribution and related-metabolic features with mRNA levels of proinflammatory markers in PBMC. This study enrolled 136 healthy subjects (85 females/51 males; age: 21.5 ± 2.5 years). Anthropometrical, clinical, metabolic, and proinflammatory variables were assessed with validated tools. Interestingly, in normal-weight subjects with lower truncal fat (TF) values, mRNA levels of ICAM1, IL1R1, IL6, and TNF-α in PBMC were lower (p 58.5/50.2% for...

Integrative responses to high pH stress in S. cerevisiae.

Abstract: The budding yeast Saccharomyces cerevisiae grows far better at acidic than at neutral or alkaline pH. Consequently, even a modest alkalinization of the medium represents a stressful situation for this yeast. In the past few years, data generated by a combination of genome-wide techniques has demonstrated that adaptive responses of S. cerevisiae to high pH stress involves extensive gene remodeling as a result of the fast activation of a number of stress-related signaling pathways, such as the Rim101, the Wsc1-Pkc1-Slt2 MAP kinase, and the calcium-activated calcineurin pathways. Alkalinization of the environment also disturbs nutrient homeostasis, as deduced from its impact on iron/copper, phosphate, and glucose uptake/utilization pathways. In this review we will examine these responses, their possible interactions, and the role that they play in tolerance to high pH stress.

Phospholipidome of Candida: each species of Candida has distinctive phospholipid molecular species.

Abstract: By employing electrospray ionization tandem mass spectrometry (ESI-MS/MS), the phospholipidomes of eight hemiascomycetous human pathogenic Candida species have been characterized. Over 200 phospholipid molecular species were identified and quantified. There were no large differences among Candida species in phosphoglyceride class composition; however, differences in phosphoglycerides components (i.e., fatty acyl chains) were identified. In contrast, differences in sphingolipid class composition as well as in molecular species were quite evident. The phospholipid compositions of C. albicans, C. glabrata, C. parapsilosis, C. kefyr, C. tropicalis, C. dubliniensis, C. krusei, and C. utilis could be further discriminated by principal component analysis. Notwithstanding that a single strain of each species was analyzed, our data do point to a typical molecular species imprint of Candida strains.

The RINGS resource for glycome informatics analysis and data mining on the Web.

Abstract: In the bioinformatics field, many computer algorithmic and data mining technologies have been developed for gene prediction, protein–protein interaction analysis, sequence analysis, and protein folding predictions, to name a few. This kind of research has branched off from the genomics field, creating the transcriptomics, proteomics, metabolomics, and glycomics research areas in the postgenomic age. In the glycomics field, given the complexity of glycan structures with their branches of monosaccharides in various conformations, new data mining and algorithmic methods have been developed in an attempt to gain a better understanding of glycans. However, these methods have not all been implemented as tools such that the glycobiology community may utilize them in their research. Thus, we have developed RINGS (Resource for INformatics of Glycomes at Soka) as a freely available Web resource for glycobiologists to analyze their data using the latest data mining and algorithmic techniques. It provides a ...

Application of Metabolomics to Investigate the Process of Human Orthotopic Liver Transplantation: A Proof-of-Principle Study

Abstract: To improve the outcome of orthotopic liver transplantation (OLT), knowledge of early molecular events occurring upon ischemia/reperfusion is essential. Powerful approaches for profiling metabolic changes in tissues and biofluids are now available. Our objective was to investigate the applicability of two technologies to a small but well-defined cohort of patients undergoing OLT: consecutive liver biopsies by Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) and microdialysates of extracellular fluid by coulometric electrochemical array detection (CEAD). FT-ICR MS detected reproducibly more than 4,000 peaks, revealing hundreds of significant metabolic differences between pre- and postreperfusion grafts. These included increased urea production, bile acid synthesis and clearance of preservation solution upon reperfusion, indicating a rapid resumption of biochemical function within the graft. FT-ICR MS also identified successfully the only graft obtained by donation-after-cardi...

Insights into the mechanisms of toxicity and tolerance to the agricultural fungicide mancozeb in yeast, as suggested by a chemogenomic approach.

Abstract: Saccharomyces cerevisiae was used to uncover the mechanisms underlying tolerance and toxicity of the agricultural fungicide mancozeb, linked to cancer and Parkinson's disease development. Chemogenomics screening of a yeast deletion mutant collection revealed 286 genes that provide protection against mancozeb toxicity. The most significant Gene Ontology (GO) terms enriched in this dataset are associated to transcriptional machinery, vacuolar organization and biogenesis, intracellular trafficking, and cellular pH regulation. Clustering based on physical and genetic interactions further highlighted the role of oxidative stress response, protein degradation and carbohydrate/energy metabolism in mancozeb stress tolerance. Mancozeb was found to act in yeast as a thiol-reactive compound, but not as a free radical or reative oxygen species (ROS) inducer, leading to massive oxidation of protein cysteins, consistent with the requirement of genes involved in glutathione biosynthesis and reduction and in pro...

Gene Expression Profiling of Breast Cancer Cell Lines in Response to Soy Isoflavones Using a Pangenomic Microarray Approach

Abstract: Although the rate of breast cancer differs between women in Asian and Western countries, molecular genetics/genomics basis of this epidemiological observation remains elusive. Moreover, the intake of phytoestrogens is associated with a lower incidence of breast cancer. Genistein and daidzein are the primary soy isoflavones with a chemical structure similar to estrogens. Conceivably, the actions of phytoestrogens on gene expression signatures might mediate their postulated effects on breast cancer pathogenesis. The present study evaluated the transcriptional responsiveness of breast cancer cells to soy phytoestrogens using a whole-genome microarray-based approach. Human breast cancer cell lines and a fibrocystic breast cell line were treated with genistein or daidzein. We identified 278 and 334 differentially expressed genes after genistein or daidzein treatment, respectively, in estrogen-positive (MCF-7) and estrogen-negative (MDA-MB-231, MCF-10a) cells. Hierarchical clustering of this finding re...

Ginkgo biloba extract induces gene expression changes in xenobiotics metabolism and the Myc-centered network.

Abstract: The use of herbal dietary supplements in the United States is rapidly growing, and it is crucial that the quality and safety of these preparations be ensured. To date, it is still a challenge to determine the mechanisms of toxicity induced by mixtures containing many chemical components, such as herbal dietary supplements. We previously proposed that analyses of the gene expression profiles using microarrays in the livers of rodents treated with herbal dietary supplements is a potentially practical approach for understanding the mechanism of toxicity. In this study, we utilized microarrays to analyze gene expression changes in the livers of male B6C3F1 mice administered Ginkgo biloba leaf extract (GBE) by gavage for 2 years, and to determine pathways and mechanisms associated with GBE treatments. Analysis of 31,802 genes revealed that there were 129, 289, and 2,011 genes significantly changed in the 200, 600, and 2,000 mg/kg treatment groups, respectively, when compared with control animals. Drug metabolizing genes were significantly altered in response to GBE treatments. Pathway and network analyses were applied to investigate the gene relationships, functional clustering, and mechanisms involved in GBE exposure. These analyses indicate alteration in the expression of genes coding for drug metabolizing enzymes, the NRF2-mediated oxidative stress response pathway, and the Myc gene-centered network named "cell cycle, cellular movement, and cancer" were found. These results indicate that Ginkgo biloba-related drug metabolizing enzymes may cause herb-drug interactions and contribute to hepatotoxicity. In addition, the outcomes of pathway and network analysis may be used to elucidate the toxic mechanisms of Ginkgo biloba.

Metabolic Pathway Relationships Revealed by an Integrative Analysis of the Transcriptional and Metabolic Temperature Stress-Response Dynamics in Yeast

Abstract: The integrated analysis of omics datasets covering different levels of molecular organization has become a central task of systems biology. We investigated the transcriptional and metabolic response of yeast exposed to increased (37°C) and lowered (10°C) temperatures relative to optimal reference conditions (28°C) in the context of known metabolic pathways. Pairwise metabolite correlation levels were found to carry more pathway-related information and to extend to farther distances within the metabolic pathway network than associated transcript level correlations. Metabolites were detected to correlate stronger to their cognate transcripts (metabolite is reactant of the enzyme encoded by the transcript) than to more remote or randomly chosen transcripts reflecting their close metabolic relationship. We observed a pronounced temporal hierarchy between metabolic and transcriptional molecular responses under heat and cold stress. Changes of metabolites were most significantly correlated to transcrip...

Characterization of sensor-specific stress response by transcriptional profiling of wsc1 and mid2 deletion strains and chimeric sensors in Saccharomyces cerevisiae.

Abstract: Cell wall stress in the model yeast Saccharomyces cerevisiae is known to trigger an adaptive transcriptional response. This response is mediated by a specific MAPK cell wall integrity (CWI) signal transduction pathway and affects the expression of many genes whose products are involved in the remodeling of the cellular envelope. Cell wall damage is detected mainly by Wsc1 and Mid2, which are the dominant sensors of CWI pathway. Here, we first determined the transcriptional response to different cell stresses (Congo red, Caspofungin, and Zymolyase) in mid2Δ and wsc1Δ mutant strains using DNA microarrays. Mid2 turned out to be the main sensor involved in the detection of damage provoked by Congo Red, whereas the transcriptional response to Caspofungin is mediated almost exclusively by Wsc1. For stress caused by the degradation of cell wall glucans by Zymolyase, mid2Δ and wsc1Δ deletions show little effect, but the transcriptional response rather depends on the transmembrane protein Sho1, a component of the high-osmolarity glycerol (HOG) pathway. Using sensor chimeras of Wsc1 and Mid2 we studied the contribution of the cytoplasmic and extracellular regions of Mid2 and Wsc1 for sensing Caspofungin-cell wall stress. Genome-wide transcriptional characterization in addition to Slt2 MAPK phosphorylation and phenotypic analyses indicates an important role of the extracellular domain of Wsc1 in mediating signal specificity of this sensor to detect cell wall damage.

Metabolome analysis of differential responses of diploid and haploid yeast to ethanol stress.

Abstract: Metabolomic analysis was carried out to investigate the metabolic differences of diploid (α/a) and homogenous haploid (α,a) yeasts, and further assess their response to ethanol stress. The dynamic metabolic variations of diploid and haploid caused by 3 and 7% (v/v) ethanol stress were evaluated by gas chromatography coupled to time-of-flight mass spectrometry combined with statistical analysis. Metabolite profiles originating from three strains in presence/absence of ethanol stress were distinctive and could be distinguished by principal components analysis. Results showed that the divergence among the strains with ethanol stress was smaller than without it. Furthermore, the levels of most glycolytic intermediates and amino acids in haploid were lower than these in diploid with/without ethanol stress, which was considered as species-specific behaviors. The increases of protective metabolites including polyols, amino acids, precursors of phospholipids, and unsaturated fatty acids under ethanol str...

Occurrence of the vibrio cholerae seventh pandemic VSP-I island and a new variant

Abstract: Using comparative genomics, we identified a new variant of the Vibrio Seventh Pandemic Island-I (VSP-I). Results of polymerase chain reaction (PCR) screening for both known VSP-I variants indicate that the novel variant is present only in non-O1/non-O139 strains of V. cholerae and Vibrio mimicus. Comparative genomics revealed little sequence divergence in the seventh pandemic VSP-I; however, a second insertion site located on the smaller chromosome was identified. Although the seventh pandemic VSP-I genomic island was detected in all seventh pandemic V. cholerae serogroup O1 and O139 isolates examined in this study, unique genes of the island cannot be used alone as an identifying target, because the seventh pandemic VSP-I was also present in three non-seventh pandemic strains of V. cholerae isolated from Chesapeake Bay. As an alternative, a PCR assay targeting the VC2346 gene was found to be confirmatory for seventh pandemic isolates of V. cholerae.

Identification of genes required for maximal tolerance to high-glucose concentrations, as those present in industrial alcoholic fermentation media, through a chemogenomics approach.

Abstract: Chemogenomics, the study of genomic responses to chemical compounds, has the potential to elucidate the basis of cellular resistance to those chemicals. This knowledge can be applied to improve the performance of strains of industrial interest. In this study, a collection of approximately 5,000 haploid single deletion mutants of Saccharomyces cerevisiae in which each nonessential yeast gene was individually deleted, was screened for strains with increased susceptibility toward stress induced by high-glucose concentration (30% w/v), one of the main stresses occurring during industrial alcoholic fermentation processes aiming the production of alcoholic beverages or bio-ethanol. Forty-four determinants of resistance to high-glucose stress were identified. The most significant Gene Ontology (GO) terms enriched in this dataset are vacuolar organization, late endosome to vacuole transport, and regulation of transcription. Clustering the identified resistance determinants by their known physical and gen...

Wavelet-based adaptive denoising and baseline correction for MALDI TOF MS.

Abstract: Proteomic profiling by MALDI TOF mass spectrometry (MS) is an effective method for identifying biomarkers from human serum/plasma, but the process is complicated by the presence of noise in the spectra. In MALDI TOF MS, the major noise source is chemical noise, which is defined as the interference from matrix material and its clusters. Because chemical noise is nonstationary and nonwhite, wavelet-based denoising is more effective than conventional noise reduction schemes based on Fourier analysis. However, current wavelet-based denoising methods for mass spectrometry do not fully consider the characteristics of chemical noise. In this article, we propose new wavelet-based high-frequency noise reduction and baseline correction methods that were designed based on the discrete stationary wavelet transform. The high-frequency noise reduction algorithm adaptively estimates the time-varying threshold for each frequency subband from multiple realizations of chemical noise and removes noise from mass spe...