A Bayesian Network Driven Approach to Model the Transcriptional Response to Nitric Oxide in Saccharomyces cerevisiae

The transcriptional response to exogenously supplied nitric oxide in Saccharomyces cerevisiae was modeled using an integrated framework of Bayesian network learning and experimental feedback. A Bayesian network learning algorithm was used to generate network models of transcriptional output, followed by model verification and revision through experimentation. Using this framework, we generated a network model of the yeast transcriptional response to nitric oxide and a panel of other environmental signals. We discovered two environmental triggers, the diauxic shift and glucose repression, that affected the observed transcriptional profile. The computational method predicted the transcriptional control of yeast flavohemoglobin YHB1 by glucose repression, which was subsequently experimentally verified. A freely available software application, ExpressionNet, was developed to derive Bayesian network models from a combination of gene expression profile clusters, genetic information and experimental conditions

Democratization, Quality of Institutions and Economic Growth

There are two innovations in the paper as compared to the previous literature on democracy and growth. First, we consider not only the level of democracy, but also changes in this level in the 1970s-1990s as measured by increments of Freedom House political rights indices. Second, the distinction is made between democracy and law and order (order based on legal rules); the latter is measured by the rule of law, investors' risk and corruption indices. We discuss two interconnected threshold hypotheses: (1) in countries where law and order is strong enough, democratization stimulates economic growth, whereas in countries with poor law and order democratization undermines growth; (2) if democratization occurs under the conditions of poor law and order (so that illiberal democracy emerges), then shadow economy expands, quality of governance worsens, and macroeconomic policy becomes less prudent. We adduce a number of stylized facts to support our hypotheses. However our econometric findings are mixed: we report results that support the hypotheses as well as regressions that contradict them

LC-MS/MS analysis of differential centrifugation fractions from native inner medullary collecting duct of rat

We carried out LC-MS/MS-based proteomic profiling of differential centrifugation fractions from rat inner medullary collecting duct (IMCD): 1) to provide baseline knowledge of the IMCD proteome and 2) to evaluate the utility of differential centrifugation in assessing trafficking of the water channel aquaporin-2 (AQP2). IMCD suspensions were freshly prepared from rat kidneys using standard methods. Homogenized samples were subjected to sequential centrifugations at 1,000, 4,000, 17,000, and 200,000 g. These samples, as well as the final supernatant, were subjected to LC-MS/MS analysis. Preliminary immunoblotting confirmed that the ratio of AQP2 in the 17,000-g fraction to the 200,000-g fraction underwent an increase in response to the vasopressin analog dDAVP, largely due to a reduction in the 200,000-g fraction. Immunoblotting for the major phosphorylated forms of AQP2 revealed that phosphorylated AQP2 was present in both the 17,000- and 200,000-g fractions. LC-MS/MS analysis showed that markers of “intracellular vesicles,” chiefly endosomal markers, were present in both the 17,000- and the 200,000-g fractions. In contrast, plasma membrane proteins were predominantly present in the 4,000- and 17,000-g fractions. Proteins associated with several multiprotein complexes (e.g., actin-related protein 2/3 complex and proteasome complex) were virtually exclusively present in the 200,000-g fraction. Overall, we identified 656 proteins, including 189 not previously present in the IMCD database. The data show that both the 17,000- and 200,000-g fractions are highly heterogeneous and cannot be equated with “plasma membrane” and “intracellular vesicle” fractions, respectively, leading us to propose an alternative approach for use of differential centrifugation to assess vesicular trafficking to the plasma membrane