ALS mutant FUS proteins are recruited into stress granules in induced pluripotent stem cells- derived motoneurons

Patient-derived induced Pluripotent Stem Cells (iPSCs) provide an opportunity to study human diseases mainly in those cases where no suitable model systems are available. Here we have taken advantage of in vitro iPSCs derived from patients affected by Amyotrophic Lateral Sclerosis and carrying mutations in the RNA-binding proteins FUS to study the cellular behavior of the mutant proteins in the appropriate genetic background. Moreover, the ability to differentiate iPSCs into spinal cord neural cells provides an in vitro model mimicking the physiological conditions. iPSCs were derived from FUS(R514S) and FUS(R521C) patients' fibroblasts, while in the case of the severe FUS(P525L) mutation, where fibroblasts were not available, a heterozygous and a homozygous iPSC lines were raised by TALEN-directed mutagenesis. We show that aberrant localization and recruitment of FUS into stress granules (SGs) is a prerogative of the FUS mutant proteins and occurs only upon induction of stress in both undifferentiated iPSCs and spinal cord neural cells. Moreover, we show that the incorporation into SGs is proportional to the amount of cytoplasmic FUS, nicely correlating with the cytoplasmic delocalization phenotype of the different mutants. Therefore, the available iPSCs represent a very powerful system for understanding the correlation between FUS mutations, the molecular mechanisms of SG formation and ALS ethiopathogenesis

Diffusion equations and different spatial fractional derivatives

We investigate for the diffusion equation the differences manifested by the solutions when three different types of spatial differential operators of noninteger (or fractional) order are considered for a limited and unlimited region.  In all cases, we verify an anomalous spreading of the system, which can be connected to a rich class of anomalous diffusion processes

Acute conversion of patient-derived Duchenne muscular dystrophy iPSC into myotubes reveals constitutive and inducible over-activation of TGFβ-dependent pro-fibrotic signaling

Background In Duchenne muscular dystrophy (DMD), DYSTROPHIN deficiency exposes myofibers to repeated cycles of contraction/degeneration, ultimately leading to muscle loss and replacement by fibrotic tissue. DMD pathology is typically exacerbated by excessive secretion of TGFβ and consequent accumulation of pro-fibrotic components of the extra-cellular matrix (ECM), which in turn impairs compensatory regeneration and complicates the efficacy of therapeutic strategies. It is currently unclear whether DMD skeletal muscle fibers directly contribute to excessive activation of TGFβ. Development of skeletal myofibers from DMD patient-derived induced pluripotent stem cells (iPSC), as an “in dish” model of disease, can be exploited to determine the myofiber contribution to pathogenic TGFβ signaling in DMD and might provide a screening platform for the identification of anti-fibrotic interventions in DMD. Methods We describe a rapid and efficient method for the generation of contractile human skeletal muscle cells from DMD patient-derived hiPSC, based on the inducible expression of MyoD and BAF60C (encoded by SMARCD3 gene), using an enhanced version of piggyBac (epB) transposone vectors. DMD iPSC-derived myotubes were tested as an “in dish” disease model and exposed to environmental and mechanical cues that recapitulate salient pathological features of DMD. Results We show that DMD iPSC-derived myotubes exhibit a constitutive activation of TGFβ-SMAD2/3 signaling. High-content screening (HCS)-based quantification of nuclear phosphorylated SMAD2/3 signal revealed that DMD iPSC-derived myotubes also exhibit increased activation of the TGFβ-SMAD2/3 signaling following exposure to either recombinant TGFβ or electrical pacing-induced contraction. Conclusions Acute conversion of DMD patient-derived iPSC into skeletal muscles, by the ectopic expression of MyoD and BAF60C, provides a rapid and reliable protocol for an “in dish” DMD model that recapitulates key pathogenic features of disease pathology, such as the constitutive activation of the TGFβ/SMAD signaling as well as the deregulated response to pathogenic stimuli, e.g., ECM-derived signals or mechanical cues. Thus, this model is suitable for the identification of new therapeutic targets in DMD patient-specific muscles

Women's refolution at work

The renowned Age of Revolution encompasses the period between the American Revolution (1776) and the so-called Spring of Nations in 1848, this being the height of the revolutionary movements in Europe in the 19th century, though it may be considered just the tip of the iceberg as far as civil rights movements for people from all walks of life are concerned. The changes that occurred throughout this timespan intended to move from feudal and absolutist systems, considered old-fashioned and ill-suited, to constitutionalist states and republics that would be able to heed the new values, e.g. liberalism, nationalism and socialism, as well as the demands of the working classes, enduring the harmful effects of industrialisation. Working people had been flowing into large industrial cities for over a century since the onset of the Industrial Revolution, leaving behind their home places and settling in overcrowded, rundown dwellings in appalling living conditions. The shift from working at home to working in factories brought along a number of issues that would be the motivation for setting up trade unions, namely the long working hours (between 12 and 14 hours per day), the low wages, the cruel discipline and the fierce system of fines that was applied, and the numerous accidents and health issues that ensued. Despite the overall negative conditions, women and children were among those who suffered the most, especially because the former’s wages were regarded as secondary earnings and thus less important than men’s. Consequently, from 1850s onwards, trade unions began to fight for better paid workers and women were initially excluded from these structures be it as members or leaders, being supported by social reformers instead. As a case in point, it is worth mentioning Clementina Black who, in 1888, set forth a demand for equal pay between men and women in the UK and the Bryant and May match factory strike which was held in the same year. Bearing in mind this social and historical context, our aim with this paper is two-fold: not only do we seek to focus on unionist movements in the last half of the 19th century in the European context as a means to fight against conservative and slavery-like practices in the workplace but we also wish to emphasise the place and importance of working-class women in this general workers’ assertion, particularly in their attempt to gain equal pay, a true refolution that would be the motivational beacon for 20th century movements, such as that of the suffragettes.info:eu-repo/semantics/publishedVersio

Pregnancy as a risk factor for severe influenza infection: an individual participant data meta-analysis

Background: WHO identifies pregnant women to be at increased risk for severe outcomes from influenza virus infections and recommends that they be prioritized for influenza vaccination. The evidence supporting this, however, is inconsistent. Ecologic studies in particular suggest more severe outcomes from influenza infection during pregnancy than studies based on individual patient data. Individual studies however may be underpowered and, as reported in a previous systematic review, confounding factors could not be adjusted for. We therefore conducted an individual participant data meta-analysis to assess the risk for severe outcomes of influenza infection in pregnant women while adjusting for other prognostic factors. Methods: We contacted authors of studies included in a recently published systematic review. We pooled the individual participant data of women of reproductive age and laboratory confirmation of influenza virus infection. We used a generalized linear mixed model and reported odds ratios (OR) and 95% confidence intervals (CI). Results: A total of 33 datasets with data on 186,656 individuals were available, including 36,498 eligible women of reproductive age and known pregnancy status. In the multivariable model, pregnancy was associated with a 7 times higher risk of hospital admission (OR 6.80, 95%CI 6.02–7.68), among patients receiving medical care as in- or outpatients, pregnancy was associated with a lower risk of admission to intensive care units (ICU; OR 0.57, 95%CI 0.48–0.69), and was not significantly associated with death (OR 1.00, 95%CI 0.75–1.34). Conclusions: Our study found a higher risk of influenza associated hospitalization among pregnant women as compared to non-pregnant women. We did not find a higher mortality rate or higher likelihood of ICU admission among pregnant women who sought medical care. However, this study did not address whether a true community based cohort of pregnant women is at higher risk of influenza associated complications.Fil: Mertz, Dominik. Mc Master University; CanadáFil: Lo, Calvin Ka Fung. Mc Master University; CanadáFil: Lytvyn, Lyubov. Mc Master University; CanadáFil: Ortiz, Justin R.. Organizacion Mundial de la Salud; ArgentinaFil: Loeb, Mark. Mc Master University; CanadáFil: Ang, Li Wei. Ministry of Health; SingapurFil: Anlikumar, Mehta Asmita. Amrita Vishwa Vidyapeetham; IndiaFil: Bonmarin, Isabelle. Santé publique; FranciaFil: Borja Aburto, Victor Hugo. Instituto Mexicano del Seguro Social; MéxicoFil: Burgmann, Heinz. Medical University Vienna; AustriaFil: Carratalà, Jordi. Universidad de Barcelona; España. Instituto de Investigación Biomédica de Bellvitge; España. Spanish Network for Research in Infectious Diseases; EspañaFil: Chowell, Gerardo. Georgia State University; Estados Unidos. National Institutes of Health; Estados UnidosFil: Cilloniz, Catia. Universidad de Barcelona; España. Instituto de Investigaciones Biomédicas August Pi i Sunyer; EspañaFil: Cohen, Jessica. Centers for Disease Control and Prevention; Estados UnidosFil: Cutter, Jeffery. Ministry of Health; SingapurFil: Filleul, Laurent. Santé publique; Francia. French National Public Health Agency; FranciaFil: Garg, Shikha. Centers for Disease Control and Prevention; Estados UnidosFil: Geis, Steffen. London School of Hygiene and Tropical Medicine; Reino UnidoFil: Helferty, Melissa. Public Health Agency; CanadáFil: Huang, Wan Ting. Taiwan Centers for Disease Control; ChinaFil: Jain, Seema. Centers for Disease Control and Prevention; Estados UnidosFil: Sevic, Biljana Joves. Institute for Pulmonary Diseases of Vojvodina; SerbiaFil: Kelly, Paul. Australian Capital Territory Health Directorate; Australia. Australian National University Medical School; AustraliaFil: Kusznierz, Gabriela. Dirección Nacional de Instituto de Investigación. Administración Nacional de Laboratorios e Instituto de Salud "Dr. C. G. Malbran". Instituto Nacional de Enfermedades Respiratorias; ArgentinaFil: Lehners, Nicola. Ruprecht Karls Universitat Heidelberg; AlemaniaFil: Lenzi, Luana. Universidade Federal do Paraná; BrasilFil: Ling, Ivan T.. Sir Charles Gairdner Hospital; AustraliaFil: Mitchell, Robyn. Public Health Agency; CanadáFil: Mulrennan, Siobhain A.. Sir Charles Gairdner Hospital; Canadá. University of Western Australia; AustraliaFil: Nishioka, Sergio A.. Ministerio de Salud de Brasil; BrasilFil: Norton, Robert. Townsville Hospital; AustraliaFil: Oh, Won Sup. Kangwon National University School of Medicine; Corea del SurFil: Orellano, Pablo Wenceslao. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin

Particle-flow reconstruction and global event description with the CMS detector

The CMS apparatus was identified, a few years before the start of the LHC operation at CERN, to feature properties well suited to particle-flow (PF) reconstruction: a highly-segmented tracker, a fine-grained electromagnetic calorimeter, a hermetic hadron calorimeter, a strong magnetic field, and an excellent muon spectrometer. A fully-fledged PF reconstruction algorithm tuned to the CMS detector was therefore developed and has been consistently used in physics analyses for the first time at a hadron collider. For each collision, the comprehensive list of final-state particles identified and reconstructed by the algorithm provides a global event description that leads to unprecedented CMS performance for jet and hadronic tau decay reconstruction, missing transverse momentum determination, and electron and muon identification. This approach also allows particles from pileup interactions to be identified and enables efficient pileup mitigation methods. The data collected by CMS at a centre-of-mass energy of 8 TeV show excellent agreement with the simulation and confirm the superior PF performance at least up to an average of 20 pileup interactions

Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV

Many measurements and searches for physics beyond the standard model at the LHC rely on the efficient identification of heavy-flavour jets, i.e. jets originating from bottom or charm quarks. In this paper, the discriminating variables and the algorithms used for heavy-flavour jet identification during the first years of operation of the CMS experiment in proton-proton collisions at a centre-of-mass energy of 13 TeV, are presented. Heavy-flavour jet identification algorithms have been improved compared to those used previously at centre-of-mass energies of 7 and 8 TeV. For jets with transverse momenta in the range expected in simulated $\mathrm{t}\overline{\mathrm{t}}$ events, these new developments result in an efficiency of 68% for the correct identification of a b jet for a probability of 1% of misidentifying a light-flavour jet. The improvement in relative efficiency at this misidentification probability is about 15%, compared to previous CMS algorithms. In addition, for the first time algorithms have been developed to identify jets containing two b hadrons in Lorentz-boosted event topologies, as well as to tag c jets. The large data sample recorded in 2016 at a centre-of-mass energy of 13 TeV has also allowed the development of new methods to measure the efficiency and misidentification probability of heavy-flavour jet identification algorithms. The heavy-flavour jet identification efficiency is measured with a precision of a few per cent at moderate jet transverse momenta (between 30 and 300 GeV) and about 5% at the highest jet transverse momenta (between 500 and 1000 GeV)

Search for heavy resonances decaying to a top quark and a bottom quark in the lepton+jets final state in proton–proton collisions at 13 TeV

info:eu-repo/semantics/publishe

Evidence for the Higgs boson decay to a bottom quark–antiquark pair

info:eu-repo/semantics/publishe

Pseudorapidity and transverse momentum dependence of flow harmonics in pPb and PbPb collisions

info:eu-repo/semantics/publishe