Institution
University of Milano-Bicocca
Education•Milan, Italy•
About: University of Milano-Bicocca is a education organization based out in Milan, Italy. It is known for research contribution in the topics: Population & Blood pressure. The organization has 8972 authors who have published 22322 publications receiving 620484 citations. The organization is also known as: Università degli Studi di Milano-Bicocca & Universita degli Studi di Milano-Bicocca.
Topics: Population, Blood pressure, Large Hadron Collider, Branching fraction, Ambulatory blood pressure
Papers published on a yearly basis
Papers
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TL;DR: This study explores the transcriptional interactomes of three mouse cells of progressive lineage commitment and sets the stage for the full-scale dissection of spatial and temporal genome structures and their roles in orchestrating development.
Abstract: A chromatin interaction analysis with paired-end tagging (ChIA-PET) approach is used to delineate chromatin interactions mediated by RNA polymerase II in several different stem-cell populations; putative long-range promoter–enhancer interactions are inferred, indicating that linear juxtaposition does not necessarily guide enhancer target selection and prevalent cell-specific enhancer usage. Gene transcription requires dynamic chromatin connectivity between promoters bound by RNA polymerase II and their corresponding distal-acting enhancers. In this paper the authors use the ChIA-PET (chromatin interaction analysis with paired-end tagging) approach to delineate chromatin interactions mediated by RNA polymerase II in embryonic stem cells, neural stem cells and neurosphere progenitor cells. Putative enhancer–promoter interactions can be inferred, and many enhancers associate with promoters located beyond their nearest active genes, indicating that linear juxtaposition does not necessarily guide enhancer target selection. This work illustrates the possible importance of underlying chromatin structures in nuclear function. In multicellular organisms, transcription regulation is one of the central mechanisms modelling lineage differentiation and cell-fate determination1. Transcription requires dynamic chromatin configurations between promoters and their corresponding distal regulatory elements2. It is believed that their communication occurs within large discrete foci of aggregated RNA polymerases termed transcription factories in three-dimensional nuclear space3. However, the dynamic nature of chromatin connectivity has not been characterized at the genome-wide level. Here, through a chromatin interaction analysis with paired-end tagging approach3,4,5 using an antibody that primarily recognizes the pre-initiation complexes of RNA polymerase II6, we explore the transcriptional interactomes of three mouse cells of progressive lineage commitment, including pluripotent embryonic stem cells7, neural stem cells8 and neurosphere stem/progenitor cells9. Our global chromatin connectivity maps reveal approximately 40,000 long-range interactions, suggest precise enhancer–promoter associations and delineate cell-type-specific chromatin structures. Analysis of the complex regulatory repertoire shows that there are extensive colocalizations among promoters and distal-acting enhancers. Most of the enhancers associate with promoters located beyond their nearest active genes, indicating that the linear juxtaposition is not the only guiding principle driving enhancer target selection. Although promoter–enhancer interactions exhibit high cell-type specificity, promoters involved in interactions are found to be generally common and mostly active among different cells. Chromatin connectivity networks reveal that the pivotal genes of reprogramming functions are transcribed within physical proximity to each other in embryonic stem cells, linking chromatin architecture to coordinated gene expression. Our study sets the stage for the full-scale dissection of spatial and temporal genome structures and their roles in orchestrating development.
446 citations
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Ankara University1, Middle East Technical University2, Laboratoire d'Annecy-le-Vieux de physique des particules3, National Technical University of Athens4, University of Basel5, Fermilab6, Tsinghua University7, Lawrence Berkeley National Laboratory8, University of Bern9, Boston University10, University of Sussex11, Massachusetts Institute of Technology12, University of Chicago13, University of Copenhagen14, Durham University15, Michigan State University16, University of Edinburgh17, University of Freiburg18, University of Florida19, Gangneung–Wonju National University20, CERN21, University of Geneva22, University of Iowa23, Cornell University24, University of Johannesburg25, University of California, San Diego26, King's College London27, University College London28, University of Wisconsin-Madison29, University of Manchester30, Instituto Politécnico Nacional31, Instituto Tecnológico de Puebla32, University of Milano-Bicocca33, University of Murcia34, Thomas Jefferson National Accelerator Facility35, University of Oklahoma36, Budker Institute of Nuclear Physics37, Centre national de la recherche scientifique38, University of Pavia39, Hellenic Open University40, Rutgers University41, University of Pittsburgh42, Sapienza University of Rome43, Recep Tayyip Erdoğan University44, University of Southampton45, KEK46, University of Udine47, Spanish National Research Council48, Cockcroft Institute49
TL;DR: In this article, the authors present a first appraisal of the salient features of the TLEP physics potential, to serve as a baseline for a more extensive design study, and present a combination of TLEp and the VHE-LHC offers, for a great cost effectiveness, the best precision and the best search reach of all options presently on the market.
Abstract: The discovery by the ATLAS and CMS experiments of a new boson with mass around 125 GeV and with measured properties compatible with those of a Standard-Model Higgs boson, coupled with the absence of discoveries of phenomena beyond the Standard Model at the TeV scale, has triggered interest in ideas for future Higgs factories. A new circular e+e- collider hosted in a 80 to 100 km tunnel, TLEP, is among the most attractive solutions proposed so far. It has a clean experimental environment, produces high luminosity for top-quark, Higgs boson, W and Z studies, accommodates multiple detectors, and can reach energies up to the t-tbar threshold and beyond. It will enable measurements of the Higgs boson properties and of Electroweak Symmetry-Breaking (EWSB) parameters with unequalled precision, offering exploration of physics beyond the Standard Model in the multi-TeV range. Moreover, being the natural precursor of the VHE-LHC, a 100 TeV hadron machine in the same tunnel, it builds up a long-term vision for particle physics. Altogether, the combination of TLEP and the VHE-LHC offers, for a great cost effectiveness, the best precision and the best search reach of all options presently on the market. This paper presents a first appraisal of the salient features of the TLEP physics potential, to serve as a baseline for a more extensive design study.
445 citations
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TL;DR: The median concentration of dioxin in fathers in this study is about 20 times the estimated average concentration of TCDD currently found in human beings in industrialised countries, which could have important public-health implications.
444 citations
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TL;DR: This work approximated the sensitivity of terrestrial ecosystem respiration to air temperature (Q10) across 60 FLUXNET sites with the use of a methodology that circumvents confounding effects, and suggests a less pronounced climate–carbon cycle feedback than suggested by current carbon cycle climate models.
Abstract: The respiratory release of CO 2 from the land surface is a major flux in the global carbon cycle, antipodal to photosynthetic CO 2 uptake. Understanding the sensitivity of respiratory processes to temperature is central for quantifying the climate–carbon cycle feedback. Here, we approximate the sensitivity of terrestrial ecosystem respiration to air temperature ( Q 10 ) across 60 FLUXNET sites using a methodology that circumvents confounding effects. Contrary to previous findings, our results suggest that Q 10 is independent of mean annual temperature, does not differ among biomes, and is confined to values around 1.4 (±0.1). The strong relation between photosynthesis and respiration, instead, is highly variable among sites. Overall, the results partly explain a less pronounced climate–carbon cycle feedback than suggested by current carbon cycle climate models.
443 citations
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10 May 2008TL;DR: This paper presents GK-tail, a technique to automatically generate extended finite state machines (EFSMs) from interaction traces, and shows that EFSMs include details that are not captured by either Boolean expressions or (classic) FSM alone, and allow for more accurate analysis and verification than separate models, even if considered jointly.
Abstract: Dynamic analysis of software systems produces behavioral models that are useful for analysis, verification and testing. The main techniques for extracting models of functional behavior generate either models of constraints on data, usually in the form of Boolean expressions, or models of interactions between components, usually in the form of finite state machines. Both data and interaction models are useful for analyzing and verifying different aspects of software behavior, but none of them captures the complex interplay between data values and components interactions. Thus related analysis and testing techniques can miss important information. In this paper, we focus on the generation of models of relations between data values and component interactions, and we present GK-tail, a technique to automatically generate extended finite state machines (EFSMs) from interaction traces. EFSMs model the interplay between data values and component interactions by annotating FSM edges with conditions on data values. We show that EFSMs include details that are not captured by either Boolean expressions or (classic) FSM alone, and allow for more accurate analysis and verification than separate models, even if considered jointly.
439 citations
Authors
Showing all 9226 results
Name | H-index | Papers | Citations |
---|---|---|---|
Carlo Rovelli | 146 | 1502 | 103550 |
Giuseppe Mancia | 145 | 1369 | 139692 |
Marco Bersanelli | 142 | 526 | 105135 |
Teruki Kamon | 142 | 2034 | 115633 |
Marco Colonna | 139 | 512 | 71166 |
M. I. Martínez | 134 | 1251 | 79885 |
A. Mennella | 132 | 463 | 93236 |
Roberto Salerno | 132 | 1197 | 83409 |
Federico Ferri | 132 | 1376 | 89337 |
Marco Paganoni | 132 | 1438 | 88482 |
Arabella Martelli | 131 | 1318 | 84029 |
Sandra Malvezzi | 129 | 1326 | 84401 |
Andrea Massironi | 129 | 1115 | 78457 |
Marco Pieri | 129 | 1285 | 82914 |
Cristina Riccardi | 129 | 1627 | 91452 |