Progesterone/RANKL is a major regulatory axis in the human breast.

Estrogens and progesterones are major drivers of breast development but also promote carcinogenesis in this organ. Yet, their respective roles and the mechanisms underlying their action in the human breast are unclear. Receptor activator of nuclear factor κB ligand (RANKL) has been identified as a pivotal paracrine mediator of progesterone function in mouse mammary gland development and mammary carcinogenesis. Whether the factor has the same role in humans is of clinical interest because an inhibitor for RANKL, denosumab, is already used for the treatment of bone disease and might benefit breast cancer patients. We show that progesterone receptor (PR) signaling failed to induce RANKL in PR(+) breast cancer cell lines and in dissociated, cultured breast epithelial cells. In clinical specimens from healthy donors and intact breast tissue microstructures, hormone response was maintained and RANKL expression was under progesterone control, which increased RNA stability. RANKL was sufficient to trigger cell proliferation and was required for progesterone-induced proliferation. The findings were validated in vivo where RANKL protein expression in the breast epithelium correlated with serum progesterone levels and the protein was expressed in a subset of luminal cells that express PR. Thus, important hormonal control mechanisms are conserved across species, making RANKL a potential target in breast cancer treatment and prevention.

Hard-wired heterogeneity in blood stem cells revealed using a dynamic regulatory network model.

MOTIVATION: Combinatorial interactions of transcription factors with cis-regulatory elements control the dynamic progression through successive cellular states and thus underpin all metazoan development. The construction of network models of cis-regulatory elements, therefore, has the potential to generate fundamental insights into cellular fate and differentiation. Haematopoiesis has long served as a model system to study mammalian differentiation, yet modelling based on experimentally informed cis-regulatory interactions has so far been restricted to pairs of interacting factors. Here, we have generated a Boolean network model based on detailed cis-regulatory functional data connecting 11 haematopoietic stem/progenitor cell (HSPC) regulator genes. RESULTS: Despite its apparent simplicity, the model exhibits surprisingly complex behaviour that we charted using strongly connected components and shortest-path analysis in its Boolean state space. This analysis of our model predicts that HSPCs display heterogeneous expression patterns and possess many intermediate states that can act as 'stepping stones' for the HSPC to achieve a final differentiated state. Importantly, an external perturbation or 'trigger' is required to exit the stem cell state, with distinct triggers characterizing maturation into the various different lineages. By focusing on intermediate states occurring during erythrocyte differentiation, from our model we predicted a novel negative regulation of Fli1 by Gata1, which we confirmed experimentally thus validating our model. In conclusion, we demonstrate that an advanced mammalian regulatory network model based on experimentally validated cis-regulatory interactions has allowed us to make novel, experimentally testable hypotheses about transcriptional mechanisms that control differentiation of mammalian stem cells. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Policy Credibility and Delegation to Independent Regulatory Agencies: A Comparative Empirical Analysis

Independent regulatory agencies are one of the main institutional features of the 'rising regulatory state' in Western Europe. Governments are increasingly willing to abandon their regulatory competencies and to delegate them to specialized institutions that are at least partially beyond their control. This article examines the empirical consistency of one particular explanation of this phenomenon, namely the credibility hypothesis, claiming that governments delegate powers so as to enhance the credibility of their policies. Three observable implications are derived from the general hypothesis, linking credibility and delegation to veto players, complexity and interdependence. An independence index is developed to measure agency independence, which is then used in a multivariate analysis where the impact of credibility concerns on delegation is tested. The analysis relies on an original data set comprising independence scores for thirty-three regulators. Results show that the credibility hypothesis can explain a good deal of the variation in delegation. The economic nature of regulation is a strong determinant of agency independence, but is mediated by national institutions in the form of veto players.

Synchronous versus asynchronous modeling of gene regulatory networks.

MOTIVATION: In silico modeling of gene regulatory networks has gained some momentum recently due to increased interest in analyzing the dynamics of biological systems. This has been further facilitated by the increasing availability of experimental data on gene-gene, protein-protein and gene-protein interactions. The two dynamical properties that are often experimentally testable are perturbations and stable steady states. Although a lot of work has been done on the identification of steady states, not much work has been reported on in silico modeling of cellular differentiation processes. RESULTS: In this manuscript, we provide algorithms based on reduced ordered binary decision diagrams (ROBDDs) for Boolean modeling of gene regulatory networks. Algorithms for synchronous and asynchronous transition models have been proposed and their corresponding computational properties have been analyzed. These algorithms allow users to compute cyclic attractors of large networks that are currently not feasible using existing software. Hereby we provide a framework to analyze the effect of multiple gene perturbation protocols, and their effect on cell differentiation processes. These algorithms were validated on the T-helper model showing the correct steady state identification and Th1-Th2 cellular differentiation process. AVAILABILITY: The software binaries for Windows and Linux platforms can be downloaded from http://si2.epfl.ch/~garg/genysis.html.

New insights into the regulatory mechanisms of the NALP3 inflammasome

Résumé : Les vertébrés ont recours au système immunitaire inné et adaptatif pour combattre les pathogènes. La découverte des récepteurs Toll, il y a dix ans, a fortement augmenté l'intérêt porté à l'immunité innée. Depuis lors, des récepteurs intracellulaires tels que les membres de la famille RIG-like helicase (RLHs) et NOD-like receptor (NLRs) ont été décrits pour leur rôle dans la détection des pathogènes. L'interleukine-1 beta (IL-1β) est une cytokine pro-inflammatoire qui est synthétisée sous forme de précurseur, la proIL-1β. La proIL-1β requiert d'être clivée par la caspase-1 pour devenir active. La caspase-1 est elle-même activée par un complexe appelé inflammasome qui peut être formé par divers membres de la famille NLR. Plusieurs inflammasomes ont été décrits tels que le NALP3 inflammasome ou l'IPAF inflammasome. Dans cette étude nous avons identifié la co-chaperone SGT1 et la chaperone HSP90 comme partenaires d'interaction de NALP3. Ces deux protéines sont bien connues chez les plantes pour leurs rôles dans la régulation des gènes de résistance (gène R) qui sont structurellement apparentés à la famille NLR. Nous avons pu montrer que SGT1 et HSP90 jouent un rôle similaire dans la régulation de NALP3 et des protéines R. En effet, nous avons démontré que les deux protéines sont nécessaires pour l'activité du NALP3 inflammasome. De plus, la HSP90 est également requise pour la stabilité de NALP3. En se basant sur ces observations, nous avons proposé un modèle dans lequel SGT1 et HSP90 maintiennent NALP3 inactif mais prêt à percevoir un ligand activateur qui initierait la cascade inflammatoire. Nous avons également montré une interaction entre SGT1 et HSP90 avec plusieurs NLRs. Cette observation suggère qu'un mécanisme similaire pourrait être impliqué dans la régulation des membres de la famille des NLRs. Ces dernières années, plusieurs PAMPs mais également des DAMPs ont été identifiés comme activateurs du NALP3 inflammasome. Dans la seconde partie de cette étude, nous avons identifié la réponse au stress du réticulum endoplasmique (RE) comme nouvel activateur du NALP3 inflammasome. Cette réponse est initiée lors de l'accumulation dans le réticulum endoplasmique de protéines ayant une mauvaise conformation ce qui conduit, en autre, à l'arrêt de la synthèse de nouvelles protéines ainsi qu'une augmentation de la dégradation des protéines. Les mécanismes par lesquels la réponse du réticulum endoplasmique induit l'activation du NALP3 inflammasome doivent encore être déterminés. Summary : Vertebrates rely on the adaptive and the innate immune systems to fight pathogens. Awarness of the importance of the innate system increased with the identification of Toll-like receptors a decade ago. Since then, intracellular receptors such as the RIG-like helicase (RLH) and the NOD-like receptor (NLR) families have been described for their role in the recognition of microbes. Interleukin- 1ß (IL-1ß) is a key mediator of inflammation. This proinflammatory cytokine is synthesised as an inactive precursor that requires processing by caspase-1 to become active. Caspase-1 is, itself, activated in a complex termed the inflammasome that can be formed by members of the NLR family. Various inflammasome complexes have been described such as the IPAF and the NALP3 inflammasome. In this study, we have identified the co-chaperone SGT1 and the chaperone HSP90 as interacting partners of NALP3. SGT1 and HSP90 are both known for their role in the activity of plant resistance proteins (R proteins) which are structurally related to the NLR family. We have shown that HSP90 and SGT1 play a similar role in the regulation of NALP3 and in the regulation of plant R proteins. Indeed, we demonstrated that both HSP90 and SGT1 are essential for the activity of the NALP3 inflammasome complex. In addition, HSP90 is required for the stability of NALP3. Based on these observations, we have proposed a model in which SGT1 and HSP90 maintain NALP3 in an inactive but signaling-competent state, ready to receive an activating ligand that induces the inflammatory cascade. An interaction between several NLR members, SGTI and HSP90 was also shown, suggesting that similar mechanisms could be involved in the regulation of other NLRs. Several pathogen-associated molecular patterns (PAMPs) but also danger associated molecular patterns (DAMPs) have been identified as NALP3 activators. In the second part of this study, we have identified the ER stress response as a new NALP3 activator. The ER stress response is activated upon the accumulation of unfolded protein in the endoplasmic reticulum and results in a block in protein synthesis and increased protein degradation. The mechanisms of ER stress-mediated NALP3 activation remain to be determined.

The immunological synapse and actin assembly: a regulatory role for PKC theta.

Engagement of the T cell receptor leads to the accumulation of filamentous actin, which is necessary for the formation of the immunological synapse and subsequent T cell activation. In the December issue of Molecular Cell, Sasahara et al. provide new insights into the link between the T cell receptor and actin assembly in the immunological synapse, and reveal a critical regulatory role for PKC theta in this process.

Dynamic simulation of regulatory networks using SQUAD.

BACKGROUND: The ambition of most molecular biologists is the understanding of the intricate network of molecular interactions that control biological systems. As scientists uncover the components and the connectivity of these networks, it becomes possible to study their dynamical behavior as a whole and discover what is the specific role of each of their components. Since the behavior of a network is by no means intuitive, it becomes necessary to use computational models to understand its behavior and to be able to make predictions about it. Unfortunately, most current computational models describe small networks due to the scarcity of kinetic data available. To overcome this problem, we previously published a methodology to convert a signaling network into a dynamical system, even in the total absence of kinetic information. In this paper we present a software implementation of such methodology. RESULTS: We developed SQUAD, a software for the dynamic simulation of signaling networks using the standardized qualitative dynamical systems approach. SQUAD converts the network into a discrete dynamical system, and it uses a binary decision diagram algorithm to identify all the steady states of the system. Then, the software creates a continuous dynamical system and localizes its steady states which are located near the steady states of the discrete system. The software permits to make simulations on the continuous system, allowing for the modification of several parameters. Importantly, SQUAD includes a framework for perturbing networks in a manner similar to what is performed in experimental laboratory protocols, for example by activating receptors or knocking out molecular components. Using this software we have been able to successfully reproduce the behavior of the regulatory network implicated in T-helper cell differentiation. CONCLUSION: The simulation of regulatory networks aims at predicting the behavior of a whole system when subject to stimuli, such as drugs, or determine the role of specific components within the network. The predictions can then be used to interpret and/or drive laboratory experiments. SQUAD provides a user-friendly graphical interface, accessible to both computational and experimental biologists for the fast qualitative simulation of large regulatory networks for which kinetic data is not necessarily available.

Mouse interleukin-2 receptor alpha gene expression. Delimitation of cis-acting regulatory elements in transgenic mice and by mapping of DNase-I hypersensitive sites.

The alpha chain of the interleukin-2 receptor (IL-2R alpha) is a key regulator of lymphocyte proliferation. To analyze the mechanisms controlling its expression in normal cells, we used the 5'-flanking region (base pairs -2539/+93) of the mouse gene to drive chloramphenicol acetyltransferase expression in four transgenic mouse lines. Constitutive transgene activity was restricted to lymphoid organs. In mature T lymphocytes, transgene and endogenous IL-2R alpha gene expression was stimulated by concanavalin A and up-regulated by IL-2 with very similar kinetics. In thymic T cell precursors, IL-1 and IL-2 cooperatively induced transgene and IL-2R alpha gene expression. These results show that regulation of the endogenous IL-2R alpha gene occurs mainly at the transcriptional level. They demonstrate that cis-acting elements in the 5'-flanking region present in the transgene confer correct tissue specificity and inducible expression in mature T cells and their precursors in response to antigen, IL-1, and IL-2. In a complementary approach, we screened the 5' end of the endogenous IL-2R alpha gene for DNase-I hypersensitive sites. We found three lymphocyte specific DNase-I hypersensitive sites. Two, at -0.05 and -5.3 kilobase pairs, are present in resting T cells. A third site appears at -1.35 kilobase pairs in activated T cells. It co-localizes with IL-2-responsive elements identified by transient transfection experiments.

Having Your Cake and Eating It, Too: Can Regulatory Agencies Be Both Independent and Accountable?

Independent regulatory agencies (IRAs) were created in various sectors and on different governmental levels to implement liberalization policies. This paper investigates the link between IRAs' independence, which is said to promote regulatory credibility and the use of technical expertise, and their accountability, which is related to the need for controlling and legitimizing independent regulators. The literature on the regulatory state anticipates a positive relation between the independence and accountability of IRAs, but systematic empirical evidence is still lacking. To tackle this question, this paper measures and compares the independence and the accountability of IRAs in three differentially liberalized sectors in Switzerland (telecommunications, electricity and railways). With the application of Social Network Analysis, this piece of research shows that IRAs can be de facto independent and accountable at the same time, but the two features do not necessarily co-evolve in the same direction.

T regulatory cells in xenotransplantation.

The role of T regulatory cells (Treg) in the induction and maintenance of allograft tolerance is being studied to a great extent. In contrast, little is known on their potential to prevent graft rejection in the field of xenotransplantation, where acute vascular rejection mediated by cellular and humoral mechanisms and thrombotic microangiopathy still prevents long-term graft survival. In this regard, the induction of donor-specific tolerance through isolation and expansion of xenoantigen-specific recipient Treg is currently becoming a focus of interest. This review will summarize the present knowledge concerning Treg and their potential use in xenotransplantation describing in particular CD4(+)CD25(+)Foxp3(+) T cells, CD8(+)CD28(-) Treg, double negative CD4(-)CD8(-) T cells, and natural killer Treg. Although only studied in vitro so far, human CD4(+)CD25(+)Foxp3(+) Treg is currently the best characterized subpopulation of regulatory cells in xenotransplantation. CD8(+)CD28(-) Treg and double negative CD4(-)CD8(-) Treg also seem to be implicated in tolerance maintenance of xenografts. Finally, one study revealing a role for natural killer CD4(+)Valpha14(+) Treg in the prolongation of xenograft survival needs further confirmation. To our opinion, CD4(+)CD25(+)Foxp3(+) Treg are a promising candidate to protect xenografts. In contrast to cadaveric allotransplantation, the donor is known prior to xenotransplantation. This advantage allows the expansion of recipient Treg in a xenoantigen specific manner before transplantation.

The policy-making structure of European regulatory networks and the domestic adoption of standards

European regulatory networks (ERNs) constitute the main governance instrument for the informal co-ordination of public regulation at the European Union (EU) level. They are in charge of co-ordinating national regulators and ensuring the implementation of harmonized regulatory policies across the EU, while also offering sector-specific expertise to the Commission. To this aim, ERNs develop 'best practices' and benchmarking procedures in the form of standards, norms and guidelines to be adopted in member states. In this paper, we focus on the Committee of European Securities Regulators and examine the consequences of the policy-making structure of ERNs on the domestic adoption of standards. We find that the regulators of countries with larger financial industries tend to occupy more central positions in the network, especially among newer member states. In turn, network centrality is associated with a more prompt domestic adoption of standards.