A cytoplasm to vacuole targeting pathway in P. pastoris

The cytoplasm-to-vacuole targeting (Cvt) pathway of Saccharomyces cerevisiae delivers aminopeptidase I (Ape1) from the cytosol to the vacuole, bypassing the normal secretory route. The Cvt pathway, although well-studied, was known only in S. cerevisiae. We demonstrate its existence in the methylotrophic yeast, Pichia pastoris, where it also delivers P. pastoris Ape1 (PpApe1) to the vacuole. Most proteins known to be required for the Cvt pathway in S. cerevisiae were, to the extent we found orthologs, also required in P. pastoris. The P. pastoris Cvt pathway differs, however, from that in S. cerevisiae, in that new proteins, such as PpAtg28 and PpAtg26, are involved. The discovery of a Cvt pathway in P. pastoris makes it an excellent model system for the dissection of autophagy-related pathways in a single organism and for the discovery of new Cvt pathway components.     

Entropic Forces Drive Cellular Contact Guidance

Contact guidance—the widely known phenomenon of cell alignment induced by anisotropic environmental features—is an essential step in the organization of adherent cells, but the mechanisms by which cells achieve this orientational ordering remain unclear. Here, we seeded myofibroblasts on substrates micropatterned with stripes of fibronectin and observed that contact guidance emerges at stripe widths much greater than the cell size. To understand the origins of this surprising observation, we combined morphometric analysis of cells and their subcellular components with a, to our knowledge, novel statistical framework for modeling nonthermal fluctuations of living cells. This modeling framework is shown to predict not only the trends but also the statistical variability of a wide range of biological observables, including cell (and nucleus) shapes, sizes, and orientations, as well as stress-fiber arrangements within the cells with remarkable fidelity with a single set of cell parameters. By comparing observations and theory, we identified two regimes of contact guidance: 1) guidance on stripe widths smaller than the cell size (w ≤ 160 μm), which is accompanied by biochemical changes within the cells, including increasing stress-fiber polarization and cell elongation; and 2) entropic guidance on larger stripe widths, which is governed by fluctuations in the cell morphology. Overall, our findings suggest an entropy-mediated mechanism for contact guidance associated with the tendency of cells to maximize their morphological entropy through shape fluctuations.     

DNase protection analysis of retrovirus integrase at the viral DNA ends for full-site integration in vitro

Retrovirus intasomes purified from virus-infected cells contain the linear viral DNA genome and integrase (IN). Intasomes are capable of integrating the DNA termini in a concerted fashion into exogenous target DNA (full site), mimicking integration in vivo. Molecular insights into the organization of avian myeloblastosis virus IN at the viral DNA ends were gained by reconstituting nucleoprotein complexes possessing intasome characteristics. Assembly of IN-4.5-kbp donor complexes capable of efficient full-site integration appears cooperative and is dependent on time, temperature, and protein concentration. DNase I footprint analysis of assembled IN-donor complexes capable of full-site integration shows that wild-type U3 and other donors containing gain-of-function attachment site sequences are specifically protected by IN at low concentrations (<20 nM) with a defined outer boundary mapping ~20 nucleotides from the ends. A donor containing mutations in the attachment site simultaneously eliminated full-site integration and DNase I protection by IN. Coupling of wild-type U5 ends with wild-type U3 ends for full-site integration shows binding by IN at low concentrations probably occurs only at the very terminal nucleotides (<10 bp) on U5. The results suggest that assembly requires a defined number of avian IN subunits at each viral DNA end. Among several possibilities, IN may bind asymmetrically to the U3 and U5 ends for full-site integration in vitro.     

Extracellular production of L-glutaminase by alkalophilic Beauveria bassiana BTMF S10 isolated from marine sediment

Beauveria sp. BTMF S10 isolated from marine sediment produced extracellular L-glutaminase. Maximal L-glutaminase yield (46.9U/ml) was obtained in a medium supplemented with 1% (w/v) yeast extract and sorbitol, 9% (w/v) sodium chloride and 0.2% (w/v) methionine, initial pH 9.0 and at 27 ^°C after 108h. This enzyme was inducible and growth-associated.     

Computational method for discovery of estrogen responsive genes

Estrogen has a profound impact on human physiology and affects numerous genes. The classical estrogen reaction is mediated by its receptors (ERs), which bind to the estrogen response elements (EREs) in target gene's promoter region. Due to tedious and expensive experiments, a limited number of human genes are functionally well characterized. It is still unclear how many and which human genes respond to estrogen treatment. We propose a simple, economic, yet effective computational method to predict a subclass of estrogen responsive genes. Our method relies on the similarity of ERE frames across different promoters in the human genome. Matching ERE frames of a test set of 60 known estrogen responsive genes to the collection of over 18,000 human promoters, we obtained 604 candidate genes. Evaluating our result by comparison with the published microarray data and literature, we found that more than half (53.6%, 324/604) of predicted candidate genes are responsive to estrogen. We believe this method can significantly reduce the number of testing potential estrogen target genes and provide functional clues for annotating part of genes that lack functional information.     

Effects of exposure uncertainties in the TSCE model and application to the Colorado miners data

The simulations in this paper show that exposure measurement error affects the parameter estimates of the biologically motivated two-stage clonal expansion (TSCE) model. For both Berkson and classical error models, we show that likelihood-based techniques of correction work reliably. For classical errors, the distribution of true exposures needs to be known or estimated in addition to the distribution of recorded exposures conditional on true exposures. Usually the exposure uncertainty biases the model parameters toward the null and underestimates the precision. But when several parameters are allowed to be dependent on exposure, e.g. initiation and promotion, then their relative importance is also influenced, and more complicated effects of exposure uncertainty can occur. The application part of this paper shows for two different types of Berkson errors that a recent analysis of the data for the Colorado plateau miners with the TSCE model is not changed substantially when correcting for such errors. Specifically, the conjectured promoting action of radon remains as the dominant radiation effect for explaining these data. The estimated promoting action of radon increases by a factor of up to 1.2 for the largest assumed exposure uncertainties.