Interactome modeling

A long-term goal of the field of interactome modeling is to understand how global and local properties of complex macromolecular networks impact on observable biological properties, and how changes in such properties can lead to human diseases. The information available at this stage of development of the field provides strong evidence for the existence of such interesting global and local properties, but also demonstrates that many more datasets will be needed to provide accurate models with increasingly predictive capacity. This review focuses on an early attempt at mapping a multicellular interactome network and on the lessons learned from that attempt.     

Mapping QTLs and candidate genes for iron and zinc concentrations in unpolished rice of Madhukar×Swarna RILs

Identifying QTLs/genes for iron and zinc in rice grains can help in biofortification programs. 168 F(7) RILs derived from Madhukar×Swarna were used to map QTLs for iron and zinc concentrations in unpolished rice grains. Iron ranged from 0.2 to 224ppm and zinc ranged from 0.4 to 104ppm. Genome wide mapping using 101 SSRs and 9 gene specific markers showed 5 QTLs on chromosomes 1, 3, 5, 7 and 12 significantly linked to iron, zinc or both. In all, 14 QTLs were identified for these two traits. QTLs for iron were co-located with QTLs for zinc on chromosomes 7 and 12. In all, ten candidate genes known for iron and zinc homeostasis underlie 12 of the 14 QTLs. Another 6 candidate genes were close to QTLs on chromosomes 3, 5 and 7. Thus the high priority candidate genes for high Fe and Zn in seeds are OsYSL1 and OsMTP1 for iron, OsARD2, OsIRT1, OsNAS1, OsNAS2 for zinc and OsNAS3, OsNRAMP1, Heavy metal ion transport and APRT for both iron and zinc together based on our genetic mapping studies as these genes strictly underlie QTLs. Several elite lines with high Fe, high Zn and both were identified.     

The Saccharomyces cerevisiae succinate dehydrogenase does not require heme for ubiquinone reduction

The coupling of succinate oxidation to the reduction of ubiquinone by succinate dehydrogenase (SDH) constitutes a pivotal reaction in the aerobic generation of energy. In Saccharomyces cerevisiae, SDH is a tetramer composed of a catalytic dimer comprising a flavoprotein subunit, Sdh1p and an iron-sulfur protein, Sdh2p and a heme b-containing membrane-anchoring dimer comprising the Sdh3p and Sdh4p subunits. In order to investigate the role of heme in SDH catalysis, we constructed an S. cerevisiae strain expressing a mutant enzyme lacking the two heme axial ligands, Sdh3p His-106 and Sdh4p Cys-78. The mutant enzyme was characterized for growth on a non-fermentable carbon source, for enzyme assembly, for succinate-dependent quinone reduction and for its heme b content. Replacement of both Sdh3p His-106 and Sdh4p Cys-78 with alanine residues leads to an undetectable level of cytochrome b₅₆₂. Although enzyme assembly is slightly impaired, the apocytochrome SDH retains a significant ability to reduce quinone. The enzyme has a reduced affinity for quinone and its catalytic efficiency is reduced by an order of magnitude. To better understand the effects of the mutations, we employed atomistic molecular dynamic simulations to investigate the enzyme's structure and stability in the absence of heme. Our results strongly suggest that heme is not required for electron transport from succinate to quinone nor is it necessary for assembly of the S. cerevisiae SDH.     

Mapping the Polarity Interactome

Interactions between proteins are an essential part of biology, and the desire to identify these interactions has led to the development of numerous technologies to systematically map protein–protein interactions at a large scale. As in most cellular processes, protein interactions are central to the control of cell polarity, and a full understanding of polarity will require comprehensive knowledge of the protein interactions involved. At its core, cell polarity is established through carefully regulated mutually inhibitory interactions between several groups of cortical proteins. While several interactions have been identified, the dynamics and molecular mechanisms that control these interactions are not well understood. Cell polarity also needs to be integrated with cellular processes including junction formation, cytoskeletal organization, organelle positioning, protein trafficking, and functional specialization of membrane domains. Moreover, polarized cells need to respond to external cues that coordinate polarity at the tissue level. Identifying the protein–protein interactions responsible for integrating polarity with all of these processes remains a major challenge, in part because the mechanisms of polarity control vary in different contexts and with developmental times. Because of their unbiased nature, systematic large-scale protein–protein interaction mapping approaches can be particularly helpful to identify such mechanisms. Here, we discuss methods commonly used to generate proteome-wide interactome maps, with an emphasis on advances in our understanding of cell polarity that have been achieved through application of such methods.     

Dibutyryl cyclic AMP effects on calcium metabolism by mouse mastocytoma cells

The ability of mouse mastocytoma cells to take up 45Ca2+ was measured in normal growth medium. As previously observed in physiological buffers with succinate and Pi, cells grown for 18h with N6,O2'-dibutyryladenosine 3',5' cyclic monophosphate (DB cyclic AMP) to inhibit growth took up more 45Ca2+ than untreated cells. However 45Ca2+ uptake by cells in growth medium was less sensitive to respiratory inhibitors or uncouplers than 45Ca2+ uptake in physiological buffer. Increased 45Ca2+ uptake by 18h cyclic nucleotide-treated cells was not a result of tighter mitochondrial coupling since mitochondria prepared from cyclic nucleotide-treated cells were less coupled than those from untreated cells. Nevertheless studies with uncouplers suggested that the bulk of the intracellular Ca2+ was associated with mitochondria. DB cyclic AMP-treated cells contained less total Ca2+ than untreated cells indicating that net Ca2+ efflux occurred during the 18h period of drug treatment. These observations suggest that Ca2+ fluxes increase in DB cyclic AMP-treated PY815 cells and that a net efflux of Ca2+ occurs during growth inhibition by the cyclic nucleotide.     

tBu-D-Gly5]NPS, a pure and potent antagonist of the neuropeptide S receptor: in vitro and in vivo studies

Neuropeptide S (NPS) regulates various biological functions by selectively activating the NPS receptor (NPSR). Recently, the NPSR ligand [(t)Bu-D-Gly(5)]NPS was generated and in vitro characterized as a pure antagonist at the mouse NPSR. In the present study the pharmacological profile of [(t)Bu-D-Gly(5)]NPS has been investigated. [(t)Bu-D-Gly(5)]NPS activity was evaluated in vitro in the calcium mobilization assay at the rat NPSR and in vivo in the locomotor activity and righting reflex tests in mice and in the elevated plus maze and defensive burying assays in rats. In vitro, [(t)Bu-D-Gly(5)]NPS was inactive per se while it inhibited the calcium mobilization induced by 30 nM NPS (pK(B) 7.42). In Schild analysis experiments [(t)Bu-D-Gly(5)]NPS (0.1-10 μM) produced a concentration-dependent rightward shift of the concentration-response curve to NPS, showing a pA(2) value of 7.17. In mouse locomotor activity experiments, supraspinal injection of [(t)Bu-D-Gly(5)]NPS (1-10 nmol) dose dependently counteracted NPS (0.1 nmol) stimulant effects. In the mouse righting reflex assay [(t)Bu-D-Gly(5)]NPS (0.1-10 nmol) fully prevented the arousal-promoting action of the natural peptide (0.1 nmol). Finally, [(t)Bu-D-Gly(5)]NPS (3-30 nmol) was able to completely block NPS (1 nmol) anxiolytic-like actions in rat elevated plus maze and defensive burying assays. Collectively, the present results demonstrated that [(t)Bu-D-Gly(5)]NPS behaves both in vitro and in vivo as a pure and potent NPSR antagonist. This compound represents a novel and useful tool for investigating the pharmacology and neurobiology of the NPS/NPSR system.     

On the species-specific biotransformation of dibenzo[a,l]pyrene

We were aimed at investigating the activation of the carcinogenic polycyclic aromatic hydrocarbon (PAH) dibenzo[a,l]pyrene (DB[a,l]P) in Chinese hamster V79 cells that express single human, rat or fish cytochrome P450 (CYP) enzymes. DB[a,l]P is detectable in environmental samples and has been characterized as the most potent carcinogenic species among all PAHs as yet tested in rodent bioassays. Metabolite profiles and metabolite-dependent cytotoxic and clastogenic activities were monitored. The total turnover of CYP-mediated transformation of DB[a,l]P was as follows: human CYP1B1>fish CYP1A1 approximately human CYP1A1>rat CYP1A2>rat CYP1A1. By contrast, enzyme forms that are not classified as being members of family CYP1, such as CYP2A6, 2E1, 2B1, and 3A4, failed to catalyze any detectable conversion of this substrate. All CYP1A1 enzymes tested formed both the K-region trans-8,9- and the trans-11,12-dihydrodiol, whereas human CYP1B1 failed to catalyze K-region activation. In cells expressing human or fish CYP1A1, human CYP1B1, and rat CYP1A2, the (-)-trans-11,12-dihydrodiol was formed enantiospecifically. DB[a,l]P-dependent cytotoxicities (EC(50)) were found in the following order: human CYP1A1 (12 nM)>fish CYP1A1 (30 nM)>human CYP1B1 (45 nM)>other forms. In addition, an appreciable micronuclei formation was detected in human CYP1A1- and 1B1-expressing cells during exposure to DB[a,l]P. Our study demonstrates that human CYP1A1, 1B1 and fish CYP1A1 are able to transform DB[a,l]P into genotoxic derivatives in appreciable amounts. In contrast, CYP enzymes from rat predominantly target the K-region of DB[a,l]P and thus are serving more a rather protective route of biotransformation. Together our data suggest that humans might be more susceptible to DB[a,l]P-induced carcinogenicity than rats.     

Structures and free-energy landscapes of the wild type and mutants of the Abeta(21-30) peptide are determined by an interplay between intrapeptide electrostatic and hydrophobic interactions

The initial events in protein aggregation involve fluctuations that populate monomer conformations, which lead to oligomerization and fibril assembly. The highly populated structures, driven by a balance between hydrophobic and electrostatic interactions in the protease-resistant wild-type Aβ_21-30 peptide and mutants E22Q (Dutch), D23N (Iowa), and K28N, are analyzed using molecular dynamics simulations. Intrapeptide electrostatic interactions were connected to calculated pK_a values that compare well with the experimental estimates. The pK_a values of the titratable residues show that E22 and D23 side chains form salt bridges only infrequently with the K28 side chain. Contacts between E22-K28 are more probable in “dried” salt bridges, whereas D23-K28 contacts are more probable in solvated salt bridges. The strength of the intrapeptide hydrophobic interactions increases as D23N < WT < E22Q < K28A. Free-energy profiles and disconnectivity representation of the energy landscapes show that the monomer structures partition into four distinct basins. The hydrophobic interactions cluster the Aβ_21-30 peptide into two basins, differentiated by the relative position of the DVG(23-25) and GSN(25-27) fragments about the G25 residue. The E22Q mutation increases the population with intact VGSN turn compared to the wild-type (WT) peptide. The increase in the population of the structures in the aggregation-prone Basin I in E22Q, which occurs solely due to the difference in charge states between the Dutch mutant and the WT, gives a structural explanation of the somewhat larger aggregation rate in the mutant. The D23N mutation dramatically reduces the intrapeptide interactions. The K28A mutation increases the intrapeptide hydrophobic interactions that promote population of structures in Basin I and Basin II whose structures are characterized by hydrophobic interaction between V24 and K28 side chains but with well-separated ends of the backbone atoms in the VGSN turn. The intrapeptide electrostatic interactions in the WT and E22Q peptides roughen the free-energy surface compared to the K28A peptide. The D23N mutation has a flat free-energy surface, corresponding to an increased population of random coil-like structures with weak hydrophobic and electrostatic interactions. We propose that mutations or sequences that enhance the probability of occupying Basin I would promote aggregation of Aβ peptides.