ALBERT

Description: We used broad-band imaging data for 10 cool-core brightest cluster galaxies (BCGs) and conducted a Bayesian analysis using stellar population synthesis to determine the likely properties of the constituent stellar populations. Determination of ongoing star formation rates (SFRs), in particular, has a direct impact on our understanding of the cooling of the intracluster medium (ICM), star formation and AGN-regulated feedback. Our model consists of an old stellar population and a series of young stellar components. We calculated marginalized posterior probability distributions for various model parameters and obtained 68 per cent plausible intervals from them. The 68 per cent plausible interval on the SFRs is broad, owing to a wide range of models that are capable of fitting the data, which also explains the wide dispersion in the SFRs available in the literature. The ranges of possible SFRs are robust and highlight the strength in such a Bayesian analysis. The SFRs are correlated with the X-ray mass deposition rates (the former are factors of 4–50 lower than the latter), implying a picture where the cooling of the ICM is a contributing factor to star formation in cool-core BCGs. We find that 9 out of 10 BCGs have been experiencing starbursts since 6 Gyr ago. While four out of nine BCGs seem to require continuous SFRs, five out of nine seem to require periodic star formation on intervals ranging from 20 to 200 Myr. This time-scale is similar to the cooling time of the ICM in the central (〈5 kpc) regions.

Description: Single molecule localization microscopy (SMLM) techniques allow for sub-diffraction imaging with spatial resolutions better than 10 nm reported. Much has been discussed relating to different variations of SMLM and all-inclusive microscopes can now be purchased, removing the need for in-house software or hardware development. However, little discussion has occurred examining the reliability and quality of the images being produced, as well as the potential for overlooked preparative artifacts. As a result of the up to an order-of-magnitude improvement in spatial resolution, substantially more detail is observed, including changes in distribution and ultrastructure caused by the many steps required to fix, permeabilize, and stain a sample. Here we systematically investigate many of these steps including different fixatives, fixative concentration, permeabilization concentration and timing, antibody concentration, and buffering. We present three well-optimized fixation protocols for staining microtubules, mitochondria and actin in a mammalian cell line and then discuss various artifacts in relation to images obtained from samples prepared using the protocols. The potential for such errors to go undetected in SMLM images and the complications in defining a ‘good’ image using previous parameters applied to confocal microscopy are also discussed. Scientific Reports 5 doi: 10.1038/srep07924

Description: Spatiotemporal dynamics of homologous recombination repair at single collapsed replication forks Spatiotemporal dynamics of homologous recombination repair at single collapsed replication forks, Published online: 24 September 2018; doi:10.1038/s41467-018-06435-3 How factors involved in homologous recombination interact and function is a matter of interest. Here the authors use super-resolution imaging to describe the spatiotemporal dynamics of proteins associated with homologous recombination DNA repair in response to replication stress.

Description: A comprehensive account of the causes of alcohol misuse must accommodate individual differences in biology, psychology and environment, and must disentangle cause and effect. Animal models can demonstrate the effects of neurotoxic substances; however, they provide limited insight into the psycho-social and higher cognitive factors involved in the initiation of substance use and progression to misuse. One can search for pre-existing risk factors by testing for endophenotypic biomarkers in non-using relatives; however, these relatives may have personality or neural resilience factors that protect them from developing dependence. A longitudinal study has potential to identify predictors of adolescent substance misuse, particularly if it can incorporate a wide range of potential causal factors, both proximal and distal, and their influence on numerous social, psychological and biological mechanisms. Here we apply machine learning to a wide range of data from a large sample of adolescents (n = 692) to generate models of current and future adolescent alcohol misuse that incorporate brain structure and function, individual personality and cognitive differences, environmental factors (including gestational cigarette and alcohol exposure), life experiences, and candidate genes. These models were accurate and generalized to novel data, and point to life experiences, neurobiological differences and personality as important antecedents of binge drinking. By identifying the vulnerability factors underlying individual differences in alcohol misuse, these models shed light on the aetiology of alcohol misuse and suggest targets for prevention.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4486207/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4486207/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Whelan, Robert -- Watts, Richard -- Orr, Catherine A -- Althoff, Robert R -- Artiges, Eric -- Banaschewski, Tobias -- Barker, Gareth J -- Bokde, Arun L W -- Buchel, Christian -- Carvalho, Fabiana M -- Conrod, Patricia J -- Flor, Herta -- Fauth-Buhler, Mira -- Frouin, Vincent -- Gallinat, Juergen -- Gan, Gabriela -- Gowland, Penny -- Heinz, Andreas -- Ittermann, Bernd -- Lawrence, Claire -- Mann, Karl -- Martinot, Jean-Luc -- Nees, Frauke -- Ortiz, Nick -- Paillere-Martinot, Marie-Laure -- Paus, Tomas -- Pausova, Zdenka -- Rietschel, Marcella -- Robbins, Trevor W -- Smolka, Michael N -- Strohle, Andreas -- Schumann, Gunter -- Garavan, Hugh -- IMAGEN Consortium -- MH082116/MH/NIMH NIH HHS/ -- P20 GM103644/GM/NIGMS NIH HHS/ -- P20GM103644/GM/NIGMS NIH HHS/ -- P50 DA036114/DA/NIDA NIH HHS/ -- P50DA036114/DA/NIDA NIH HHS/ -- Medical Research Council/United Kingdom -- Wellcome Trust/United Kingdom -- England -- Nature. 2014 Aug 14;512(7513):185-9. doi: 10.1038/nature13402. Epub 2014 Jul 2.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Department of Psychiatry, University of Vermont, Burlington, Vermont 05401, USA [2] Department of Psychology, University College Dublin, Dublin 4, Ireland. ; Department of Radiology, University of Vermont, Burlington, Vermont 05401, USA. ; Vermont Center for Children, Youth, and Families, University of Vermont, Burlington, Vermont 05401, USA. ; 1] Department of Pediatrics, University of Vermont, Burlington, Vermont 05401, USA [2] Department of Psychology, University of Vermont, Burlington, Vermont 05401, USA. ; 1] Institut National de la Sante et de la Recherche Medicale, INSERM CEA Unit 1000 "Imaging &Psychiatry", University Paris Sud, 91400 Orsay, France [2] Department of Psychiatry, Orsay Hospital, 4 place du General Leclerc, 91400 Orsay, France. ; Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany. ; Institute of Psychiatry, King's College London, London SE5 8AF, UK. ; Institute of Neuroscience, Trinity College Dublin, Dublin 2, Ireland. ; 1] Department of Systems Neuroscience, Universitatsklinikum Hamburg Eppendorf, 20246 Hamburg, Germany [2] Department of Psychology, Stanford University, Stanford, California 94305, USA. ; 1] Institute of Psychiatry, King's College London, London SE5 8AF, UK [2] Department of Psychiatry, Universite de Montreal, CHU Ste Justine Hospital, Montreal H3T 1C5, Canada. ; 1] Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany [2] Department of Addictive Behaviour and Addiction Medicine, Heidelberg University, 68159 Mannheim, Germany. ; 14 CEA, DSV, I2BM, Neurospin bat 145, 91191 Gif-Sur-Yvette, France. ; 1] Department of Systems Neuroscience, Universitatsklinikum Hamburg Eppendorf, 20246 Hamburg, Germany [2] Department of Psychiatry and Psychotherapy, Campus Charite Mitte, Charite-Universitatsmedizin Berlin 10117, Germany. ; Department of Psychiatry and Neuroimaging Center, Technische Universitat Dresden, 01062 Dresden, Germany. ; School of Physics and Astronomy, University of Nottingham, Nottingham NG7 2RD, UK. ; Department of Psychiatry and Psychotherapy, Campus Charite Mitte, Charite-Universitatsmedizin Berlin 10117, Germany. ; Physikalisch-Technische Bundesanstalt (PTB), 10587 Berlin, Germany. ; School of Psychology, University of Nottingham, Nottingham NG7 2RD, UK. ; 1] Institut National de la Sante et de la Recherche Medicale, INSERM CEA Unit 1000 "Imaging &Psychiatry", University Paris Sud, 91400 Orsay, France [2] AP-HP Department of Adolescent Psychopathology and Medicine, Maison de Solenn, University Paris Descartes, 75006 Paris, France. ; 1] Department of Psychiatry, University of Vermont, Burlington, Vermont 05401, USA [2] Neuroscience Graduate Program, University of Vermont, Burlington, Vermont 05401, USA. ; 1] Department of Psychiatry and Psychotherapy, Campus Charite Mitte, Charite-Universitatsmedizin Berlin 10117, Germany [2] AP-HP Department of Adolescent Psychopathology and Medicine, Maison de Solenn, University Paris Descartes, 75006 Paris, France. ; 1] Rotman Research Institute, University of Toronto, Toronto, Ontario M5R 0A3, Canada [2] Montreal Neurological Institute, McGill University, H3A 2B4, Canada. ; The Hospital for Sick Children, University of Toronto, Toronto, Ontario M5G 0A4, Canada. ; Behavioural and Clinical Neuroscience Institute and Department of Psychology, University of Cambridge, Cambridge CB2 1TN, UK. ; 1] Institute of Psychiatry, King's College London, London SE5 8AF, UK [2] MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, London WC2R 2LS, UK. ; 1] Department of Psychiatry, University of Vermont, Burlington, Vermont 05401, USA [2] Department of Psychology, University of Vermont, Burlington, Vermont 05401, USA [3] Institute of Neuroscience, Trinity College Dublin, Dublin 2, Ireland.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25043041" target="_blank"〉PubMed〈/a〉

Description: Initiation is the primary target of translational control for all organisms. Regulation of eukaryotic translation is traditionally thought to occur through initiation factors and RNA structures. Here, we characterize a transcript-specific translation initiation mechanism that is mediated by the ribosome. By studying vesicular stomatitis virus (VSV), we identify the large...