Aging, oxidative responses, and proliferative capacity in cultured mouse aortic smooth muscle cells

The cellular mechanisms that contribute to the acceleration of atherosclerosis in aging populations are poorly understood, although it is hypothesized that changes in the proliferative capacity of vascular smooth muscle cells is contributory. We addressed the relationship among aging, generation of reactive oxygen species (ROS), and proliferation in primary culture smooth muscle cells (SMC) derived from the aortas of young (4 mo old) and aged (16 mo old) mice to understand the phenotypic modulation of these cells as aging occurs. SMC from aged mice had decreased proliferative capacity in response to alpha-thrombin stimulation, yet generated higher levels of ROS and had constitutively increased mitogen-activated protein kinase activity, in comparison with cells from younger mice. These effects may be explained by dysregulation of cell cycle-associated proteins such as cyclin D1 and p27Kip1 in SMC from aged mice. Increased ROS generation was associated with decreased endogenous antioxidant activity, increased lipid peroxidation, and mitochondrial DNA damage. Accrual of oxidant-induced damage and decreased proliferative capacity in SMC may explain, in part, the age-associated transition to plaque instability in humans with atherosclerosis.     

Wnt signaling and heterotrimeric G-proteins: strange bedfellows or a classic romance?

Wnts are secreted ligands with diverse roles in animal development. Wnts bind to cell surface membrane proteins termed Frizzleds. Molecular cloning of members of the Frizzled family revealed hydropathy plots with seven putative, transmembrane-spanning regions, conserved in Frizzleds characterized in mice, humans, flies, and worms. Understanding how Frizzled translates binding of their cognate Wnts into intracellular signals controlling aspects of development has been an elusive goal. Earlier observations gathered from a variety of model systems provided compelling, but indirect, support that the Frizzled receptors may be members of the superfamily of G-protein-coupled receptors that possess seven transmembrane-spanning domains. Search for a linkage between Frizzled and possible downstream heterotrimeric G-proteins has been advanced by the use of bacterial toxins, antisense DNA, and novel chimeric receptor constructs. New data establish that Frizzleds are indeed bona fide G-protein-coupled receptors. Frizzled-1 couples via G-proteins Go and Gq to the canonical beta-catenin-Lef-Tcf pathway. Frizzled-2 couples via Gq and Gt to downstream effectors including calcium mobilization. Frizzleds and G-proteins might once have been considered strange bedfellows, not likely partners in signaling. The new data, consistent with the properties known for virtually all members of the G-protein-coupled receptors, reveal a more classic romance of signaling elements controlling aspects of early development.     

Role of phospholipase C-gamma1 in insulin-like growth factor I-induced muscle differentiation of H9c2 cardiac myoblasts

Insulin-like growth factor-I (IGF-I) regulates muscle differentiation through phosphatidylinositol 3-kinase (PI 3-kinase). Also it was recently reported that PI 3-kinase is involved in the activation of phospholipase C-gamma1 (PLC-gamma1). We investigated whether PLC-gamma1 therefore plays a role in IGF-I-induced muscle differentiation using H9c2 rat cardiac myoblasts as a model. IGF-I was able to activate PLC-gamma1 via both PI 3-kinase-dependent and tyrosine phosphorylation-dependent mechanisms in this model. However, PI 3-kinase appeared to play a more important role than tyrosine phosphorylation in IGF-I activation of PLC-gamma1. In addition, PLC-gamma1 activation was independent of Akt/protein kinase B (Akt/PKB). Importantly, PLC-gamma1 was involved in IGF-I-induced muscle differentiation in parallel with Akt/PKB. Taken together, these results suggest that IGF-I regulation of muscle differentiation is dependent on the activation of PLC-gamma1 and Akt/PKB, both of which are downstream mediators of PI 3-kinase.     

Zebrafish mdk2, a novel secreted midkine, participates in posterior neurogenesis

Patterning the neural plate in vertebrates depends on complex interactions between a variety of secreted growth factors. Here we describe a novel secreted factor in zebrafish, named mdk2, related to the midkine family of heparin-binding growth factors that is involved in posterior neural development. mdk2 is expressed shortly after the onset of gastrulation in the presumptive neural plate cells of the epiblast, and this expression is enhanced by exogenous retinoic acid. Ectopic expression of mdk2 enhances neural crest cell fates at the lateral edges of the caudal neural plate, concomitant with a repression of anterior structures and mesendodermal and ectodermal markers. Reciprocally, ectopic expression of a dominant negative mdk2 results in severe deficiencies of structures posterior to the midbrain-hindbrain boundary, with negligible effects on anterior structures. In these embryos, the expression of hindbrain and neural crest markers is strongly reduced, and the formation of posterior primary moto- and sensory neurons is blocked. Analyses in mutant zebrafish embryos shows that expression of mdk2 is independent of FGF8 and nodal-related-1 signaling, but is under negative control of BMP signaling. These data support the hypothesis that mdk2 participates in posterior neural development in zebrafish.     

Structure-activity relationships of apio nucleosides as potential antiviral agents

Several types of novel apio nucleosides were synthesized starting from 1,3-dihydroxyacetone and evaluated for antiviral activity. Among compounds tested, amino substituted apio dideoxynucleosides exhibited anti-HBV activity, while thioapio dideoxynucleosides were found to be active against HIV-1. Apio dideoxydidehydro nucleosides showed moderate to potent anti-HCMV activity, but their bioisosteric thioapio dideoxydidehydro nucleosides did not exhibit any significant antiviral activity.     

Cloning of a dextransucrase gene (fmcmds) from a constitutive dextransucrase hyper-producing Leuconostoc mesenteroides B-512FMCM developed using VUV

Dextransucrase (FMCMDS) from Leuconostoc mesenteroides B-512FMCM, a dextransucrase constitutive and hyper-producing strain, catalyzes the synthesis of dextran from sucrose. The coding region for fmcmds was isolated and sequenced. It consisted of an open reading frame (ORF) of 4699 bp, coding for a 1527 amino acid protein with a molecular mass of 170 kDa. However, it showed a dextransucrase activity band at 180 kDa in SDS-PAGE. Only one nucleotide changed in the promoter site and two amino acid residues were changed in the structural gene from that of the parent L. mesenteroides NRRL B-512F dsrS; an inducible dextransucrase gene of low productivity.     

A statistical model for describing and simulating microbial community profiles

Many methods have been developed for statistical analysis of microbial community profiles, but due to the complex nature of typical microbiome measurements (e.g. sparsity, zero-inflation, non-independence, and compositionality) and of the associated underlying biology, it is difficult to compare or evaluate such methods within a single systematic framework. To address this challenge, we developed SparseDOSSA (Sparse Data Observations for the Simulation of Synthetic Abundances): a statistical model of microbial ecological population structure, which can be used to parameterize real-world microbial community profiles and to simulate new, realistic profiles of known structure for methods evaluation. Specifically, SparseDOSSA’s model captures marginal microbial feature abundances as a zero-inflated log-normal distribution, with additional model components for absolute cell counts and the sequence read generation process, microbe-microbe, and microbe-environment interactions. Together, these allow fully known covariance structure between synthetic features (i.e. “taxa”) or between features and “phenotypes” to be simulated for method benchmarking. Here, we demonstrate SparseDOSSA’s performance for 1) accurately modeling human-associated microbial population profiles; 2) generating synthetic communities with controlled population and ecological structures; 3) spiking-in true positive synthetic associations to benchmark analysis methods; and 4) recapitulating an end-to-end mouse microbiome feeding experiment. Together, these represent the most common analysis types in assessment of real microbial community environmental and epidemiological statistics, thus demonstrating SparseDOSSA’s utility as a general-purpose aid for modeling communities and evaluating quantitative methods. An open-source implementation is available at http://huttenhower.sph.harvard.edu/sparsedossa2.