41 research outputs found

    Evolučně zachovalé mechanismy regulace genové exprese jadernými receptory.

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    7 Abstract With the first appearance of life on Earth, organisms had to adapt to an ever-changing surrounding environment in order to survive. Since the emergence of metazoan multi- cellularity, subsets of cells could adapt to perform specific biological tasks beneficial to the whole organism, necessitating not only spatiotemporal regulation of gene expression during development, but also integration of tissue specific needs with overall organis- mal status. Within the set of evolutionary conserved regulatory systems, the family of nuclear receptor (NR) transcription factors stands out due to its high degree of evolu- tionary conservation, plasticity and uniqueness to the metazoan kingdom, regulating gene expression in response to, or in the absence of a ligand by genomic and non- genomic actions. With an increasing number of different compounds being recognized as ligands to NRs, it is now thought that ancient NRs were probably characterized by low ligand binding specificity, eventually serving as environmental sensors, integrating nutrient availability and gene expression at the base of metazoan evolution. Characteri- zation of the NR network in one of the simplest metazoan organisms, Trichoplax ad- haerens, revealed not only a functional network and sub-specialization of NR dependent gene regulation, but...8 Abstrakt Od samého počátku života na planetě Zemi se organismy, k tomu, aby přežily, musely adaptovat měnícím se podmínkám prostředí. S výskytem metazoické mnohobuněčnosti se skupiny buněk mohly adaptovat k tomu, aby vykonávaly specifickou biologickou funkci, ze které těží celý organismus. To vyžadovalo nejen časoprostorovou regulaci exprese genů během vývoje, ale i integraci specifických požadavků tkání s celkovým stavem organismu. V rámci souboru vývojově zachovaných regulačních systémů vy- čnívá rodina transkripčních faktorů jaderných receptorů (NR). Důvodem je její vysoký stupeň evoluční konzervace, plasticita a jedinečnost ve vztahu k živočišné říši a účast při regulaci exprese genů v odezvě na ligand, či jeho nepřítomnost, genomovými a negenomovými mechanismy. Se zvyšujícím se počtem molekul, které jsou považovány za ligandy těchto receptorů, se dnes předpokládá, že původní receptory byly pravděpo- dobně charakterizovány nízkou specifičností vazby ligandu a eventuálně sloužily jako environmentální senzory, které integrovaly dostupnost živin a expresi genů na samém začátku evoluce Metazoa. Charakteristika sítě NR v jednom z nejjednodušších metazo- ických organismů, Trichoplax adhaerens, odhalila nejen funkční síť a sub-specializaci genové regulace závisející na NR, ale i výjimečnou citlivost na 9-cis...BIOCEV, 1. LF UKBIOCEV, First Faculty of Medicine, Charles UniversityFirst Faculty of Medicine1. lékařská fakult

    Geographical and temporal distribution of SARS-CoV-2 clades in the WHO European Region, January to June 2020

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    We show the distribution of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) genetic clades over time and between countries and outline potential genomic surveillance objectives. We applied three genomic nomenclature systems to all sequence data from the World Health Organization European Region available until 10 July 2020. We highlight the importance of real-time sequencing and data dissemination in a pandemic situation, compare the nomenclatures and lay a foundation for future European genomic surveillance of SARS-CoV-2

    Outreach activities at the Pierre Auger Observatory

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    The ultra-high-energy cosmic-ray sky above 32 EeV viewed from the Pierre Auger Observatory

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    A search for ultra-high-energy photons at the Pierre Auger Observatory exploiting air-shower universality

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    The Pierre Auger Observatory is the most sensitive detector to primary photons with energies above ∼0.2 EeV. It measures extensive air showers using a hybrid technique that combines a fluorescence detector (FD) with a ground array of particle detectors (SD). The signatures of a photon-induced air shower are a larger atmospheric depth at the shower maximum (Xmax_{max}) and a steeper lateral distribution function, along with a lower number of muons with respect to the bulk of hadron-induced background. Using observables measured by the FD and SD, three photon searches in different energy bands are performed. In particular, between threshold energies of 1-10 EeV, a new analysis technique has been developed by combining the FD-based measurement of Xmax_{max} with the SD signal through a parameter related to its muon content, derived from the universality of the air showers. This technique has led to a better photon/hadron separation and, consequently, to a higher search sensitivity, resulting in a tighter upper limit than before. The outcome of this new analysis is presented here, along with previous results in the energy ranges below 1 EeV and above 10 EeV. From the data collected by the Pierre Auger Observatory in about 15 years of operation, the most stringent constraints on the fraction of photons in the cosmic flux are set over almost three decades in energy

    Study on multi-ELVES in the Pierre Auger Observatory

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    Since 2013, the four sites of the Fluorescence Detector (FD) of the Pierre Auger Observatory record ELVES with a dedicated trigger. These UV light emissions are correlated to distant lightning strikes. The length of recorded traces has been increased from 100 μs (2013), to 300 μs (2014-16), to 900 μs (2017-present), to progressively extend the observation of the light emission towards the vertical of the causative lightning and beyond. A large fraction of the observed events shows double ELVES within the time window, and, in some cases, even more complex structures are observed. The nature of the multi-ELVES is not completely understood but may be related to the different types of lightning in which they are originated. For example, it is known that Narrow Bipolar Events can produce double ELVES, and Energetic In-cloud Pulses, occurring between the main negative and upper positive charge layer of clouds, can induce double and even quadruple ELVES in the ionosphere. This report shows the seasonal and daily dependence of the time gap, amplitude ratio, and correlation between the pulse widths of the peaks in a sample of 1000+ multi-ELVES events recorded during the period 2014-20. The events have been compared with data from other satellite and ground-based sensing devices to study the correlation of their properties with lightning observables such as altitude and polarity

    First results from the AugerPrime Radio Detector

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    Update of the Offline Framework for AugerPrime

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    Extraction of the Muon Signals Recorded with the Surface Detector of the Pierre Auger Observatory Using Recurrent Neural Networks

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    We present a method based on the use of Recurrent Neural Networks to extract the muon component from the time traces registered with water-Cherenkov detector (WCD) stations of the Surface Detector of the Pierre Auger Observatory. The design of the WCDs does not allow to separate the contribution of muons to the time traces obtained from the WCDs from those of photons, electrons and positrons for all events. Separating the muon and electromagnetic components is crucial for the determination of the nature of the primary cosmic rays and properties of the hadronic interactions at ultra-high energies. We trained a neural network to extract the muon and the electromagnetic components from the WCD traces using a large set of simulated air showers, with around 450 000 simulated events. For training and evaluating the performance of the neural network, simulated events with energies between 1018.5, eV and 1020 eV and zenith angles below 60 degrees were used. We also study the performance of this method on experimental data of the Pierre Auger Observatory and show that our predicted muon lateral distributions agree with the parameterizations obtained by the AGASA collaboration

    Event-by-event reconstruction of the shower maximum XmaxX_{\mathrm{max}} with the Surface Detector of the Pierre Auger Observatory using deep learning

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