An integrated pathway system modeling of Saccharomyces cerevisiae HOG pathway: a Petri net based approach

Biochemical networks comprise many diverse components and interactions between them. It has intracellular signaling, metabolic and gene regulatory pathways which are highly integrated and whose responses are elicited by extracellular actions. Previous modeling techniques mostly consider each pathway independently without focusing on the interrelation of these which actually functions as a single system. In this paper, we propose an approach of modeling an integrated pathway using an event-driven modeling tool, i.e., Petri nets (PNs). PNs have the ability to simulate the dynamics of the system with high levels of accuracy. The integrated set of signaling, regulatory and metabolic reactions involved in Saccharomyces cerevisiae’s HOG pathway has been collected from the literature. The kinetic parameter values have been used for transition firings. The dynamics of the system has been simulated and the concentrations of major biological species over time have been observed. The phenotypic characteristics of the integrated system have been investigated under two conditions, viz., under the absence and presence of osmotic pressure. The results have been validated favorably with the existing experimental results. We have also compared our study with the study of idFBA (Lee et al., PLoS Comput Biol 4:e1000–e1086, 2008) and pointed out the differences between both studies. We have simulated and monitored concentrations of multiple biological entities over time and also incorporated feedback inhibition by Ptp2 which has not been included in the idFBA study. We have concluded that our study is the first to the best of our knowledge to model signaling, metabolic and regulatory events in an integrated form through PN model framework. This study is useful in computational simulation of system dynamics for integrated pathways as there are growing evidences that the malfunctioning of the interplay among these pathways is associated with disease.     

Gene Content and Diversity of the Loci Encoding Biosynthesis of Capsular Polysaccharides of the 15 Serovar Reference Strains of Haemophilus parasuis

Haemophilus parasuis is the causative agent of Glässer''s disease, a systemic disease of pigs, and is also associated with pneumonia. H. parasuis can be classified into 15 different serovars. Here we report, from the 15 serotyping reference strains, the DNA sequences of the loci containing genes for the biosynthesis of the group 1 capsular polysaccharides, which are potential virulence factors of this bacterium. We contend that these loci contain genes for polysaccharide capsule structures, and not a lipopolysaccharide O antigen, supported by the fact that they contain genes such as wza, wzb, and wzc, which are associated with the export of polysaccharide capsules in the current capsule classification system. A conserved region at the 3′ end of the locus, containing the wza, ptp, wzs, and iscR genes, is consistent with the characteristic export region 1 of the model group 1 capsule locus. A potential serovar-specific region (region 2) has been found by comparing the predicted coding sequences (CDSs) in all 15 loci for synteny and homology. The region is unique to each reference strain with the exception of those in serovars 5 and 12, which are identical in terms of gene content. The identification and characterization of this locus among the 15 serovars is the first step in understanding the genetic, molecular, and structural bases of serovar specificity in this poorly studied but important pathogen and opens up the possibility of developing an improved molecular serotyping system, which would greatly assist diagnosis and control of Glässer''s disease.     

Quercetin supplementation is effective in improving mitochondrial dysfunctions induced by 3-nitropropionic acid: Implications in Huntington's disease

The study was designed to investigate the beneficial effect of quercetin supplementation in 3-nitropropionic acid (3-NP) induced model of Huntington's disease (HD). HD was induced in rats by administering sub-chronic dose of 3-NP, intraperitoneally, twice daily for 17 days. Quercetin was supplemented at a dose of 25 mg/kg body weight by oral gavage for 21 days. At the end of treatment, mitochondrial bioenergetics, mitochondrial swelling, oxidative stress, neurobehavioral deficits and histopathological changes were analyzed. Quercetin supplementation was able to reverse 3-NP induced inhibition of respiratory chain complexes, restore ATP levels, attenuate mitochondrial oxidative stress in terms of lipid peroxidation and prevent mitochondrial swelling. Quercetin administration also restored the activities of superoxide dismutase and catalase along with thiol content in 3-NP treated animals. Beneficial effect of quercetin administration was observed on 3-NP induced motor deficits analyzed by narrow beam walk and footprint analysis. Histopathological analysis of 3-NP treated rats revealed pyknotic nuclei and astrogliosis in striatum, which were reduced or absent in quercetin supplemented animals. Altogether, our results show that quercetin supplementation to 3-NP induced HD animals ameliorated mitochondrial dysfunctions, oxidative stress and neurobehavioral deficits in rats showing potential of this flavonoid in maintaining mitochondrial functions, suggesting a putative role of quercetin in HD management.     

An essential role for Grk2 in Hedgehog signalling downstream of Smoothened

The G‐protein‐coupled receptor kinase 2 (adrbk2/GRK2) has been implicated in vertebrate Hedgehog (Hh) signalling based on the effects of its transient knock‐down in mammalian cells and zebrafish embryos. Here, we show that the response to Hh signalling is effectively abolished in the absence of Grk2 activity. Zebrafish embryos lacking all Grk2 activity are refractory to both Sonic hedgehog (Shh) and oncogenic Smoothened (Smo) activity, but remain responsive to inhibition of cAMP‐dependent protein kinase (PKA) activity. Mutation of the kinase domain abrogates the rescuing activity of grk2 mRNA, suggesting that Grk2 acts in a kinase‐dependent manner to regulate the response to Hh. Previous studies have suggested that Grk2 potentiates Smo activity by phosphorylating its C‐terminal tail (CTT). In the zebrafish embryo, however, phosphomimetic Smo does not display constitutive activity, whereas phospho‐null mutants retain activity, implying phosphorylation is neither sufficient nor necessary for Smo function. Since Grk2 rescuing activity requires the integrity of domains essential for its interaction with GPCRs, we speculate that Grk2 may regulate Hh pathway activity by downregulation of a GPCR.     

Cell Boundary Confinement Sets the Size and Position of the E. coli Chromosome

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BRCA1 Haploinsufficiency Is Masked by RNF168-Mediated Chromatin Ubiquitylation

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Fluxomics with Ratiometric Metabolite Dyes

Today''s major excitement in biology centers on signaling: How can a cell or organism measure the myriad of environmental cues, integrate it, and acclimate to the new conditions? Hormonal signals and second messengers are in the focus of most of these studies, e.g., regulation of glucose transporter GLUT4 cycling by insulin, or regulation of plant growth by auxin or brassinosteroids.^1–3 In comparison, we generally assume that we know almost everything about basic metabolism since it has been studied for many decades; for example we know since the early 80s that allosteric regulation by fructose-2,6-bisphophate plays an important role in regulating glycolysis in plants and animals.⁴ This may be the reason why studies of metabolism appear to be a bit out of fashion. But if we look to other organisms such as E. coli or yeast, we rapidly realize that metabolism is controlled by complex interconnected signaling networks, and that we understand little of these signaling networks in humans and plants.^5,6 As it turns out, the cell registers many metabolites, and flux through the pathways is regulated using complex signaling networks that involve calcium as well as hormones.Key Words: flux, fluxome, glucose, glutamate, phosphate, sucrose, fluorescence resonance energy transfer, biosensorOne of the reasons for the fable for hormones lies in the simple fact that it is easier to observe macroscopic changes, such as changes in the architecture of a plant than to determine metabolite levels, but also here new tools are urgently needed that allow quantification of these small molecules. Visualization of starch levels provided a significant advance, and in combination with mutant screens allowed to identify fundamental components of starch metabolism.^7–9 The biggest advance for the signaling field was the development of advanced chemical and genetically encoded calcium dyes.^10–12 No such dyes are available for hormones or metabolites, as soon as we try to determine levels of metabolites (or signaling molecules), we run into the issues of compartmentation and cellular differences in tissues. Today, the same enzymatic assays used decades ago are still widely used to determine metabolite levels. Although significant advances in chromatography and mass spectrometry based metabolite analysis have moved the study of metabolism to ‘omics’ era, compartmentalization of metabolism still presents a major challenge. Especially the large vacuoles of plant cells are a major obstacle, since even fractionation studies suffer from contamination. Moreover, with the current set of tools it is not possible to determine the dynamic changes in metabolite levels in different subcellular compartments in real time in vivo. Radiotracers have helped a lot to identify and quantify intermediates and to assemble pathways, originally using pulse labeling followed by paper chromatography. Today ¹³C-labeling is used together with mass spectrometry to obtain insights into metabolic flux control.¹³ This tool set for the first time enabled the comparison of mutants and study regulatory networks involved in sugar signaling. While significant, advances in radiotracer experiments do not provide cellular or subcellular information and only limited temporal resolution, they do provide efficient means for studying metabolite fluxes through complex and/or not well-defined pathways. Thus there is a clear need for metabolite specific dyes that can be targeted to subcellular compartments and that would enable flux measurements in response to environmental cues helping to push metabolic research back into the focus of signaling-related biology.In 2002, we developed the first prototype “metabolic dye” FRET sensor for maltose.^14,15 A similar glucose sensor was recently employed for measuring tracer-independent transport of glucose across the ER membrane of liver cells.¹⁶ After resolving some issues such as low signal-to-noise and gene silencing in plants, we are now able to compare glucose levels between cells in an intact root in real time.¹⁷ The parallel development of sucrose and phosphate sensors complements the set of tools, in future experiments providing a comparison of sucrose, phosphate and glucose fluxes in intact tissues with both temporal (below seconds) and spatial resolution (cellular and subcellular).^18,19The first experiments already led to a big surprise: glucose supplied to the root is rapidly taken up and is rapidly metabolized.¹⁷ Roots expressing the highest affinity sensor FLIPglu170n responded to glucose perfusion suggesting that the steady state glucose level in the root is less than 100 nM, the estimated detection limit for this sensor in these first experiments. The first experiments were limited by the mixing kinetics in the bath used for perfusion, while improvement of the chamber now allow for faster for glucose exchange. We estimate that glucose levels fall from a steady state level of approximately 5 mM in the cytosol when perfused with 5 mM glucose to below 100 nM in about three minutes. For the sensor with an affinity of 600 µM the rate of glucose accumulation, which is composed of the various rates that affect the steady state in the cytosol such as metabolism, compartmentation and transport across the plasma membrane, is in the range of 527 ± 77 µM glucose/min and that for glucose removal is 317 ± 37 (Fig. 1; Chaudhuri B, Frommer WB, unpublished). Questions that arise are: Which transport systems drive uptake? How much does the vacuole contribute to the observed flux and steady state levels? Is the capacity of hexokinase at levels below its K_m still sufficient to phosphorylate glucose efficient enough to pull glucose below 100 nM or does hexokinase have different properties in vivo compared to what we know from the purified enzyme? Are there different transporters and enzymes contributing to flux in the low (1–10 mM) and the ultrahigh affinity (low µM) phases? Are there spatial differences in the root? Why do roots take up glucose so efficiently in the first place? The combination of the sensors with information from the expression-LEDs from Birnbaum and Benfey²⁰ and specific knock-out mutants should help answering some of these questions.Open in a separate windowFigure 1Quantitative analysis of glucose flux from an Arabidopsis root expressing FLIPglu-600µΔ13, a FRET sensor for glucose with an affinity of 600 µM. The root of a 10 day-old seedling was placed into a perfusion chamber and perfused with hydroponic medium with or without 5 mM glucose. eCFP was excited and emission was recorded for eCFP and eYFP every 10 seconds (essentially as decsribed in ref. 17). The emission intensities for a region-of-interest were averaged and the emission ratio was determined at the two wavelengths for each image of a time series and plotted on the Y-axis against time on the X-axis. Addition of glucose is indicated.Another big surprise is the dramatic gradient of glucose across the plasma membrane, which has important implications for our understanding of transport processes across the plasma membrane as well as the intracellular membranes.¹⁷ Information about the gradients is relevant in the context of apo- and symplasmic unloading routes in roots²¹ and the contribution of proton-coupled transporters in cellular export.²² It will thus be interesting to follow the extracellular levels using surface-anchored sensors. Now that besides high sensitivity glucose FLIPs¹⁷ we also generated nanosensors for sucrose¹⁹ and phosphate,¹⁸ complementing the similar tool sets for calcium²³ and pH,²⁴ it is possible to compare multiple parameters and to follow flux at different levels and to calibrate against other influences.The improvements of the signal-to-noise ratio of the FRET-based metabolite sensors²⁵ makes the FLIPs a standard tool for every lab interested in measuring ion-, sugar- or amino acid flux in living cells. Since the nanosensors are genetically encoded, they can be used to characterize intracellular fluxes^16,26 in any organism for which transformation protocols have been established. The existing sets of sensors are simple to use, constructs are available through Addgene and Arabidopsis lines from the Arabidopsis Stock Center. Detailed instructions for imaging can be found at: http://carnegiedpb.stanford.edu/research/frommer/research_frommer_protocols.php. These tools will hopefully become a standard system not only for physiological analyses, but in addition provide a new way for high throughput fluxomics studies.     

Morphological and molecular divergence of Indian hill trout,Barilius bendelisis (Hamilton, 1822) stocks from different Rivers in Indo‐Burma biodiversity hotspot: Does river altitude and Dam play a role?

The present study explains the intraspecific variation in Indian Hill trout (Barilius bendelisis) on the basis of image based truss network system and D‐loop region of mtDNA. A total of 210 samples were collected from three different rivers (Teesta, Kameng and Myntudu River) of North East India in Indo‐Burma Biodiversity Hotspot. By using the software applications (tpsDig version 2.1 and PAST), a total of 25 morphometric measurements were generated from 10 landmarks. The Analysis of Variance (ANOVA), Factor Analysis (FA) and Discriminate Function Analysis (DFA) showed, out of the total variations, factor 1 explained 46.74% while factor 2 and factor 3 explained 27.14% and 11.92%, respectively. Using these variables 83.33% of the cross‐validated specimens were classified into distinct groups. Analysis of Molecular Variance (AMOVA) and pairwise Fst value for D‐loop region of mtDNA also showed high to medium level of genetic variation among the stocks and within the stocks. We conclude that the observed discrete stocks might be the result of changing environmental conditions in different rivers of the hotspot as the rivers are present at different altitudinal labels. It is also believed that the variation might be due to the construction of barrages across the river which hinder the mixing among the stocks.     

Use of RhD fusion protein expressed on K562 cell surface in the study of molecular basis for D antigenic epitopes

The human D antigens, one of the most clinically important blood groups, are presented by RhD protein with a putative 12 transmembrane topology. To understand the molecular basis for the complex antigenic profile of RhD protein, we expressed a series of RhD fusion proteins using different portions of Duffy protein as a tag in erythroleukemic K562 cells. Because the reactivity of monoclonal anti-RhD antibody, LOR15C9, depends mainly on the sequence coded by exon 7 of RhD, we altered DNA sequence corresponding to the amino acid residues 323-331(A) and 350-354(B) in the exon 7. The mutation in region B resulted in a severe reduction in LOR15C9 binding by flow cytometry analysis, suggesting that region B may play an important role in constituting antigen epitopes recognized by LOR15C9. On the other hand, a slight decrease in the antibody binding was observed for the region A mutant, suggesting that the intracellularly located region A may elicit a long distance effect on the formation of exofacial antigen epitopes. In addition, using various monoclonal antibodies against RhD, we compared the antigenic profile of expressed RhD fusion protein with that of endogenous RhD in K562 cells as well as in erythrocytes.