Information processing in the transcriptional regulatory network of yeast: Functional robustness

Background: Gene networks are considered to represent various aspects of molecular biological systems meaningfully because they naturally provide a systems perspective of molecular interactions. In this respect, the functional understanding of the transcriptional regulatory network is considered as key to elucidate the functional organization of an organism.

Local network-based measures to assess the inferability of different regulatory networks

The purpose of this study is to compare the inferability of various synthetic as well as real biological regulatory networks. In order to assess differences we apply local network-based measures. That means, instead of applying global measures, we investigate and assess an inference algorithm locally, on the level of individual edges and subnetworks. We demonstrate the behaviour of our local network-based measures with respect to different regulatory networks by conducting large-scale simulations. As inference algorithm we use exemplarily ARACNE. The results from our exploratory analysis allow us not only to gain new insights into the strength and weakness of an inference algorithm with respect to characteristics of different regulatory networks, but also to obtain information that could be used to design novel problem-specific statistical estimators.

Restraing Regulatory Capture? Anglo America, Crisis Politics and Trajectories of Change in Global Financial Governance

A growing number of respected commentators now argue that regulatory capture of public agencies and public policy by leading banks was one of the main causal factors behind the financial crisis of 2007–2009, resulting in a permissive regulatory environment. This regulatory environment placed a faith in banks own internal risk models, contributed to pro-cyclical behaviour and turned a blind eye to excessive risk taking. The article argues that a form of ‘multi-level regulatory capture’ characterized the global financial architecture prior to the crisis. Simultaneously, regulatory capture fed off, but also nourished the financial boom, in a fashion that mirrored the life cycle of the boom itself. Minimizing future financial booms and crises will require continuous, conscious and explicit efforts to restrain financial regulatory capture now and into the future. The article assesses the extent to which this has been achieved in current global financial governance reform efforts and highlights some of the persistent difficulties that will continue to hamper efforts to restrain regulatory capture. The evidence concerning the extent to which regulatory capture is being effectively restrained is somewhat mixed, and where it is happening it is largely unintentional and accidental. Recent reforms have overlooked the political causes of the crisis and have failed to focus explicitly or systematically on regulatory capture.

Intermedin (Adrenomedullin-2) a novel counter-regulatory peptide in the cardiovascular and renal systems

Intermedin (IMD) is a novel peptide related to calcitonin gene-related peptide (CGRP) and adrenomedullin (AM). Proteolytic processing of a larger precursor yields a series of biologically active C-terminal fragments, IMD1–53, IMD1–47 and IMD8–47. IMD shares a family of receptors with AM and CGRP composed of a calcitonin-receptor like receptor (CALCRL) associated with one of three receptor activity modifying proteins (RAMP). Compared to CGRP, IMD is less potent at CGRP1 receptors but more potent at AM1 receptors and AM2 receptors; compared to AM, IMD is more potent at CGRP1 receptors but less potent at AM1 and AM2 receptors. The cellular and tissue distribution of IMD overlaps in some aspects with that of CGRP and AM but is distinct from both. IMD is present in neonatal but absent or expressed sparsely, in adult heart and vasculature and present at low levels in plasma. The prominent localization of IMD in hypothalamus and pituitary and in kidney is consistent with a physiological role in the central and peripheral regulation of the circulation and water-electrolyte homeostasis. IMD is a potent systemic and pulmonary vasodilator, influences regional blood flow and augments cardiac contractility. IMD protects myocardium from the deleterious effects of oxidative stress associated with ischaemia-reperfusion injury and exerts an anti-growth effect directly on cardiomyocytes to oppose the influence of hypertrophic stimuli. The robust increase in expression of the peptide in hypertrophied and ischaemic myocardium indicates an important protective role for IMD as an endogenous counter-regulatory peptide in the heart.

Identifying early signs of aggression: psychometric properties of the cardiff infant contentiousness scale

Our aim was to develop an age-appropriate measure of early manifestations of aggression. We constructed a questionnaire about normative developmental milestones into which a set of items measuring infants’ use of physical force against people and expressed anger were included. These items comprise the Cardiff Infant Contentiousness Scale (CICS). Evidence for the reliability and validity of the CICS is provided from analyses of a sample of N5310 British infants, assessed at a mean age of 6 months as part of a larger longitudinal study of the development of aggression. The informants’ CICS ratings demonstrated reasonable levels of internal consistency and interrater agreement. Informants’ ratings were validated by observations of infants’ distress in response to restraint in a car seat. Longitudinal analyses revealed that contentiousness was stable over time and that contentiousness at 6 months predicted infants’ later use of force with peers. When used in the company of other methods, the simple four-item CICS scale could serve as a useful screen for early manifestations of aggressiveness in human infants.

Inferring the conservative causal core of gene regulatory networks

Background
Inferring gene regulatory networks from large-scale expression data is an important problem that received much attention in recent years. These networks have the potential to gain insights into causal molecular interactions of biological processes. Hence, from a methodological point of view, reliable estimation methods based on observational data are needed to approach this problem practically.

Results
In this paper, we introduce a novel gene regulatory network inference (GRNI) algorithm, called C3NET. We compare C3NET with four well known methods, ARACNE, CLR, MRNET and RN, conducting in-depth numerical ensemble simulations and demonstrate also for biological expression data from E. coli that C3NET performs consistently better than the best known GRNI methods in the literature. In addition, it has also a low computational complexity. Since C3NET is based on estimates of mutual information values in conjunction with a maximization step, our numerical investigations demonstrate that our inference algorithm exploits causal structural information in the data efficiently.

Conclusions
For systems biology to succeed in the long run, it is of crucial importance to establish methods that extract large-scale gene networks from high-throughput data that reflect the underlying causal interactions among genes or gene products. Our method can contribute to this endeavor by demonstrating that an inference algorithm with a neat design permits not only a more intuitive and possibly biological interpretation of its working mechanism but can also result in superior results.

Harnessing naturally randomized transcription to infer regulatory relationships among genes

We develop an approach utilizing randomized genotypes to rigorously infer causal regulatory relationships among genes at the transcriptional level, based on experiments in which genotyping and expression profiling are performed. This approach can be used to build transcriptional regulatory networks and to identify putative regulators of genes. We apply the method to an experiment in yeast, in which genes known to be in the same processes and functions are recovered in the resulting transcriptional regulatory network.

Regulatory regime change in Turkish banks:Reactive or proactive?

This paper examines the positive contributions made toward restructuring the regulatory framework of Turkey's banking and financial sectors prior to and post the 2000–2001 financial crisis. Drawing on a framework initially developed by Onis and Senses, 2007 and Onis and Senses, 2009 and further referred to by Onis, 2009 and Onis, 2010 it argues that financial reforms undertaken by the Turkish government would not have been successful without the strong support of domestic coalitions. While the external pressures put on the Turkish government from the International Monetary Fund, The World Bank and the European Union for financial reforms were necessary to kick start the reforms as a reactive process, these pressures on their own may have served only the interests of financial business elites at the expense of the broader stakeholders. Empirical data for the study was collected from documentary analysis of key financial institutions and interviews with twenty major Turkish regulatory agents and other stakeholders. The paper then discusses how the perceptions of these stakeholders are embodied into, and have influenced, regulatory regime change in Turkey from a reactive state to a more proactive one.