The Role of Black Hole and Neutron Star Interaction on the Dynamical Evolution of Dense Stellar Systems

With the recent detection of gravitational waves from the Laser Interferometer Gravitational-Wave Observatory, or LIGO, a new realm of gravitational astrophysics has been opened. As the process of observing gravitational wave signals is still in its infancy, there is a need to provide gravitational astronomers with observable signatures in the electromagnetic spectrum. Hence, we explore the impact of solar mass black holes on the morphology of globular clusters. It has long been thought that due to high kick velocities from compact object gravitational interaction, Galactic age Globular Clusters are unable to retain black holes. Recent simulations, however, suggest that a significant population of black holes can be retained (Sippel & Hurley 2012, Rodriguez et al. 2016). We present the results from Fokker-Planck simulations of a time evolving Globular Cluster with an initial mass of 2.5x106 M⊙ . By exploring two different methods of IMF construction evolved mass function and pure power-law we are able to consistently determine their radial, density profiles with the introduction of 12 M⊙ black holes. Because of the efficiency of the Fokker-Planck code, we are able to explore parameter space as we observe how the globular cluster changes over initial mass functions with 0.1%, 1%, and 10% black holes retention rates from initial black hole formation and discover a significant impact on the cluster morphology between once the black hole population is on the order of 100. Moreover, we observe the segregation of black holes from the rest of the stellar members of the cluster and the influence of 3 body binary heating on the core of the segregated black hole sub-cluster. As we only address the initial ejection of black holes, and not their escape from the cluster over time, our future work will account for 3 body binary kicks that cause them to escape

DisCanVis: Visualizing integrated structural and functional annotations to better understand the effect of cancer mutations located within disordered proteins

Intrinsically disordered proteins (IDPs) play important roles in a wide range of biological processes and have been associated with various diseases, including cancer. In the last few years, cancer genome projects have systematically collected genetic variations underlying multiple cancer types. In parallel, the number and different types of disordered proteins characterized by experimental methods have also significantly increased. Nevertheless, the role of IDPs in various types of cancer is still not well understood. In this work, we present DisCanVis, a novel visualization tool for cancer mutations with a special focus on IDPs. In order to aid the interpretation of observed mutations, genome level information is combined with information about the structural and functional properties of proteins. The web server enables users to inspect individual proteins, collect examples with existing annotations of protein disorder and associated function or to discover currently uncharacterized examples with likely disease relevance. Through a REST API interface and precompiled tables the analysis can be extended to a group of proteins

Characterizing the Directionality of Gravitational Wave Emission from Matter Motions within Core-collapse Supernovae

We analyze the directional dependence of the gravitational wave (GW) emission from 15 3D neutrino radiation hydrodynamic simulations of core-collapse supernovae. We develop a new analytic technique to characterize the distribution of GW emission over all angles. We use physics-informed toy models to provide closed form expressions for the distribution of GW emission for different CCSN phases. Using these toy models, we approximate the PNS dynamics during multiple CCSN stages and obtain similar GW distributions to simulation outputs. By applying this new technique throughout the supernova duration, we construct a distribution of preferred directions of GW emission. Our findings indicate CCSNe do not have a single `optimal' viewing angle along which the strongest GWs can be detected. For nonrotating cases, this dominant viewing angle drifts isotropically throughout the supernova, set by the dynamical timescale of the protoneutron star. For rotating cases, during core bounce and the following tens of ms, the strongest GW signal is observed along the equator. During the accretion phase, comparable -- if not stronger -- GW amplitudes are generated along the axis of rotation, which can be enhanced by the low T/|W| instability. We show two dominant factors influencing the directionality of GW emission are the degree of initial rotation and explosion morphology. Lastly, looking forward, we note the sensitive interplay between GW detector site and supernova orientation, along with its effect on detecting individual polarization modes.Comment: 32 pages, 17 Figures, submitted to Ap

Az emlőrák szisztémás kezelése: szakmai útmutatás

The article presents the practice guideline of systemic treatment of breast cancer and recommendations of the 3rd Hungarian Breast Cancer Consensus Conference. It reflects the recent international guidelines (ESMO, NCCN, ABC2, St Gallen's) irrespectively of the current financial opportunities. Here we follow the early - locally advanced - locally relapsed - metastatic breast cancer line for didactic considerations and we discuss the different subgroups of breast cancer based on hormone receptor and HER2 receptor status. Diagnosis and treatment options of rare clinical entities are summarised at the end of the paper

The interaction between LC8 and LCA5 reveals a novel oligomerization function of LC8 in the ciliary-centrosome system

Dynein light chain LC8 is a small dimeric hub protein that recognizes its partners through short linear motifs and is commonly assumed to drive their dimerization. It has more than 100 known binding partners involved in a wide range of cellular processes. Recent large-scale interaction studies suggested that LC8 could also play a role in the ciliary/centrosome system. However, the cellular function of LC8 in this system remains elusive. In this work, we characterized the interaction of LC8 with the centrosomal protein lebercilin (LCA5), which is associated with a specific form of ciliopathy. We showed that LCA5 binds LC8 through two linear motifs. In contrast to the commonly accepted model, LCA5 forms dimers through extensive coiled coil formation in a LC8-independent manner. However, LC8 enhances the oligomerization ability of LCA5 that requires a finely balanced interplay of coiled coil segments and both binding motifs. Based on our results, we propose that LC8 acts as an oligomerization engine that is responsible for the higher order oligomer formation of LCA5. As LCA5 shares several common features with other centrosomal proteins, the presented LC8 driven oligomerization could be widespread among centrosomal proteins, highlighting an important novel cellular function of LC8