Using PC12 cells to evaluate poly(caprolactone) and collagenous microcarriers for applications in nerve guide fabrication

Tissue-engineered nerve guides can provide mechanical support as well as chemical stimulation for nerve regeneration. PC12 cells were used to test the novel combination of poly(caprolactone) (PCL) and macroporous collagen-based microcarriers (CultiSphers) as an initial phase in the fabrication of multichanneled nerve guides. Laminin-coated PCL was an effective matrix for the attachment, proliferation, and viability of PC12 cells, relative to uncoated PCL. PC12 cells attached to laminin-coated PCL and extended neurites when cultured in the presence of nerve growth factor (NGF). PC12 cells attached and proliferated on CultiSphers and extended neurites in response to NGF. A novel PCL/CultiSpher composite material also supported PC12 attachment and proliferation and provides a potentially useful material for the fabrication of synthetic nerve guides.     

Evaluating placental inter-ordinal phylogenies with novel sequences including RAG1, gamma-fibrinogen,ND6, and mt-tRNA,plus MCMC-driven nucleotide,amino acid,and codon models

It is essential to test a priori scientific hypotheses with independent data, not least to partly negate factors such as gene-specific base composition biases misleading our models. Seven new gene segments and sequences plus Bayesian likelihood phylogenetic methods were used to compare and test five recent placental phylogenies. These five phylogenies are similar to each other, yet quite different from Fthose of previously proposed trees, and span Waddell et al. [Syst. Biol. 48 (1999) 1] to Murphy et al. [Science 294 (2001b) 2348]. Trees for RAG1, gamma-fibrinogen, ND6, mt-tRNA, mt-RNA, c-MYC, epsilon -globin, and GHR are significantly congruent with the four main groups of mammals common to the five phylogenies, i.e., Afrotheria, Laurasiatheria, Euarchontoglires, Xenarthra plus Boreoeutheria (Laurasiatheria plus Euarchontoglires). Where these five a priori phylogenies differ, remain areas generally hard to resolve with the new sequences. The root remains ambiguous and does not reject a basal Afrotheria (the Exafroplacentalia hypothesis), Afrotheria plus Xenarthra together with basal (Atlantogenata), or Epitheria (Xenarthra basal) convincingly. Good evidence is found that Eulipotyphla is monophyletic and is located at the base of Laurasiatheria. The shrew mole, Uropsilus, is found to cluster consistently with other moles, while Solenodon may be the sister taxa to all other eulipotyphlans. Support is found for a probable sister pairing of just hedgehogs/gymnures and shrews. Relationships within Afrotheria, except the Paenungulata clade, remain hard to resolve, although there is congruent support for Afroinsectiphillia (aardvark, elephant shrews, golden moles, and tenrecs). A first-time use is made of MCMC enacted general time-reversible (GTR) amino acid and codon-based models for general tree selection. Even with ND6, a GTR amino acid model provided resolution of fine features, such as the sister group relationship of walrus to Otatriidae, and with BRCA a more reasonable rooting. An extensive analysis of GHR sequences reveals strong congruence with prior phylogenies, including strong support for Eulipotyphla, and good resolution within Rodentia. A codon model gives a worse likelihood than a nucleotide model and sometimes switches support, e.g., with RAG1+gamma-fibrinogen from a hyrax-sirenian association to support for Tethytheria. An analysis of the concatenated data is in accordance with well-resolved features of the gene trees. Taken all together, this work suggests that we are on the right path finding strong confirmation of prior phylogenies. However, with the use of robust criteria for assessing trees (i.e., not Bayesian posteriors), it is apparent parts of the tree remain hard to resolve. Since our current models are far from fitting the sequence data, we should continue with our exploratory analyses to arrive at a refined set of hypotheses for future testing using more model independent characters (e.g., rare indels, gene rearrangement, and SINE data).     

The amnesiac gene product is expressed in two neurons in the Drosophila brain that are critical for memory

Mutations in the amnesiac gene in Drosophila affect both memory retention and ethanol sensitivity. The predicted amnesiac gene product, AMN, is an apparent preproneuropeptide, and previous studies suggest that it stimulates cAMP synthesis. Here we show that, unlike other learning-related Drosophila proteins, AMN is not preferentially expressed in mushroom bodies. Instead, it is strongly expressed in two large neurons that project over all the lobes of the mushroom bodies, a finding that suggests a modulatory role for AMN in memory formation. Genetically engineered blockade of vesicle recycling in these cells abbreviates memory as in the amnesiac mutant. Moreover, restoration of amn gene expression to these cells reestablishes normal olfactory memory in an amn deletion background. These results indicate that AMN neuropeptide release onto the mushroom bodies is critical for normal olfactory memory.     

Inactivation of polyketide synthase and related genes results in the loss of complex lipids in Mycobacterium tuberculosis H37Rv

AIMS: Phthiocerol dimycocerosate (PDIM) waxes and other lipids are necessary for successful Mycobacterium tuberculosis infection, although the exact role of PDIM in host-pathogen interactions remains unclear. In this study, we investigated the contribution of tesA, drrB, pks6 and pks11 genes in complex lipid biosynthesis in M. tuberculosis. METHODS AND RESULTS: Four mutants were selected from M. tuberculosis H37Rv transposon mutant library. The transposon insertion sites were confirmed to be within the M. tuberculosis open reading frames for tesA (a probable thioesterase), drrB (predicted ABC transporter), pks11 (putative chalcone synthase) and pks6 (polyketide synthase). The first three of these transposon mutants were unable to generate PDIM and the fourth lacked novel polar lipids. CONCLUSIONS: Mycobacterium tuberculosis can be cultivated in vitro without the involvement of certain lipid synthesis genes, which may be necessary for in vivo pathogenicity. SIGNIFICANCE AND IMPACT OF THE STUDY: The use of transposon mutants is a new functional genomic approach for the eventual definition of the mycobacterial 'lipidome'.     

Structural basis for recruitment of Ubc12 by an E2 binding domain in NEDD8's E1

E2 conjugating enzymes play a central role in ubiquitin and ubiquitin-like protein (ublp) transfer cascades: the E2 accepts the ublp from the E1 enzyme and then the E2 often interacts with an E3 enzyme to promote ublp transfer to the target. We report here the crystal structure of a complex between the C-terminal domain from NEDD8's heterodimeric E1 (APPBP1-UBA3) and the catalytic core domain of NEDD8's E2 (Ubc12). The structure and associated mutational analyses reveal molecular details of Ubc12 recruitment by NEDD8's E1. Interestingly, the E1's Ubc12 binding domain resembles ubiquitin and recruits Ubc12 in a manner mimicking ubiquitin's interactions with ubiquitin binding domains. Structural comparison with E2-E3 complexes indicates that the E1 and E3 binding sites on Ubc12 may overlap and raises the possibility that crosstalk between E1 and E3 interacting with an E2 could influence the specificity and processivity of ublp transfer.     

Measuring the fit of sequence data to phylogenetic model: allowing for missing data

It is fundamentally important to assess the fit of data to model in phylogenetic and evolutionary studies. Phylogenetic methods using molecular sequences typically start with a multiple alignment. It is possible to measure the fit of data to model expectations of data, for example, via the likelihood-ratio (G) test or the X(2) test, if all sites in all sequences have an unambiguous residue. However, nearly all alignments of interest contain sites (columns of the alignment) with missing data, that is, ambiguous nucleotides, gaps, or unsequenced regions, which must presently be removed before using the above tests. Unfortunately, this is often either undesirable or impractical, as it will discard much of the data. Here, we show how iterative ML estimators may directly estimate the site-pattern probabilities for columns with missing data, given only standard i.i.d. assumptions. The optimization may use an EM or Newton algorithm, or any other hill-climbing approach. The resulting optimal likelihood under the unconstrained or multinomial model may be compared directly with the likelihood of the data coming from the model (a G statistic). Alternatively the modified observed and the expected frequencies of site patterns may be compared using a X(2) test. The distribution of such statistics is best assessed using appropriate simulations. The new method is applicable to models using codons or paired sites. The methods are also useful with Hadamard conjugations (spectral analysis) and are illustrated with these and with ML evolutionary models that allow site-rate variability.     

A new method for assembling metabolic networks, with application to the Krebs citric acid cycle

To understand why a molecular network has a particular connectivity one can generate an ensemble of alternative networks, all of which meet the same performance criteria as the real network. We have generated alternatives to the Krebs cycle, allowing group transfers and B(12)-mediated shifts that were excluded in previous work. Our algorithm does not use a reaction list, but determines the reactants and products in generic reactions. It generates networks in order of increasing number of reaction steps. We find that alternatives to the Krebs cycle are very likely to be cycles. Many of the alternatives produce toxic or unstable compounds and use group transfer reactions, which have unfavorable consequences. Although alternatives are better than the Krebs cycle in some respects, the Krebs cycle has the most favorable combination of traits.