Institution
Charles University in Prague
Education•Prague, Czechia•
About: Charles University in Prague is a education organization based out in Prague, Czechia. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 32392 authors who have published 74435 publications receiving 1804208 citations.
Topics: Population, Large Hadron Collider, Czech, Magnetization, Transplantation
Papers published on a yearly basis
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Goethe University Frankfurt1, Community College of Rhode Island2, Ludwig Maximilian University of Munich3, Erasmus University Rotterdam4, Boston Children's Hospital5, University of Cagliari6, Eppendorf (Germany)7, Charité8, New York Academy of Medicine9, University College London10, Charles University in Prague11, University of Catania12, University of Milano-Bicocca13, French Institute of Health and Medical Research14
TL;DR: The precise localization of genomic breakpoints within the MLL gene and the involved translocation partner genes (TPGs) was determined and several new TPGs were identified and two new MLL rearrangements are now characterized at the molecular level.
Abstract: Chromosomal rearrangements of the human MLL gene are a hallmark for aggressive (high-risk) pediatric, adult and therapy-associated acute leukemias. These patients need to be identified in order to subject these patients to appropriate therapy regimen. A recently developed long-distance inverse PCR method was applied to genomic DNA isolated from individual acute leukemia patients in order to identify chromosomal rearrangements of the human MLL gene. We present data of the molecular characterization of 414 samples obtained from 272 pediatric and 142 adult leukemia patients. The precise localization of genomic breakpoints within the MLL gene and the involved translocation partner genes (TPGs) was determined and several new TPGs were identified. The combined data of our study and published data revealed a total of 87 different MLL rearrangements of which 51 TPGs are now characterized at the molecular level. Interestingly, the four most frequently found TPGs (AF4, AF9, ENL and AF10) encode nuclear proteins that are part of a protein network involved in histone H3K79 methylation. Thus, translocations of the MLL gene, by itself coding for a histone H3K4 methyltransferase, are presumably not randomly chosen, rather functionally selected.
631 citations
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TL;DR: In this paper, the frequency and ethnic variation of Henoch-Schonlein purpura, Kawasaki disease, and rarer vasculitides during childhood are not well characterised.
630 citations
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TL;DR: In this article, the authors used the ATLAS detector to detect dijet asymmetry in the collisions of lead ions at the Large Hadron Collider and found that the transverse energies of dijets in opposite hemispheres become systematically more unbalanced with increasing event centrality, leading to a large number of events which contain highly asymmetric di jets.
Abstract: By using the ATLAS detector, observations have been made of a centrality-dependent dijet asymmetry in the collisions of lead ions at the Large Hadron Collider. In a sample of lead-lead events with a per-nucleon center of mass energy of 2.76 TeV, selected with a minimum bias trigger, jets are reconstructed in fine-grained, longitudinally segmented electromagnetic and hadronic calorimeters. The transverse energies of dijets in opposite hemispheres are observed to become systematically more unbalanced with increasing event centrality leading to a large number of events which contain highly asymmetric dijets. This is the first observation of an enhancement of events with such large dijet asymmetries, not observed in proton-proton collisions, which may point to an interpretation in terms of strong jet energy loss in a hot, dense medium.
630 citations
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TL;DR: This study of global cities shows how a balance of geophysical factors (climate, access to resources, and gateway status) and technical factors determine the GHGs attributable to cities.
Abstract: The world’s population is now over 50% urban, and cities make an important contribution to national greenhouse gas (GHG) emissions. Many cities are developing strategies to reduce their emissions. Here we ask how and why emissions differ between cities. Our study of ten global cities shows how a balance of geophysical factors (climate, access to resources, and gateway status) and technical factors (power generation, urban design, and waste processing) determine the GHGs attributable to cities. Within the overall trends, however, there are differences between cities with more or less public transit; while personal income also impacts heating and industrial fuel use. By including upstream emissions from fuels, GHG emissions attributable to cities exceed those from direct end use by up to 25%. Our findings should help foster intercity learning on reducing GHG emissions.
630 citations
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TL;DR: The results of this large pooled RA population of mostly inadequate responders to anti-TNFs, suggest that ABA retention and response to ABA treatment are not influenced by csDMARDs cotherapy.
Abstract: Background Biological disease-modifying anti-rheumatic drugs (bioDMARDs) are generally used in combination with conventional synthetic DMARDs (csDMARDs) in the treatment of rheumatoid arthritis (RA). Anti-TNF agents are more effective in combination with csDMARDs (COMBO) than as monotherapy (MONO), while this is debated with some of the newer bioDMARDs.(1) In particular, no difference was found in patients (pts) with insufficient response to TNF-inhibitors taking abatacept (ABA) in MONO vs. COMBO.(2) Objectives To compare the effectiveness of ABA started as MONO or in COMBO in RA pts treated in routine care. Methods This is a pooled observational database analysis of 9 prospective cohorts of RA pts (Czech Republic, Denmark, France, Italy, Norway, Portugal, Spain, Sweden, Switzerland). We included all RA pts treated with ABA with information on concomitant csDMARDs use at initiation of ABA treatment. Primary endpoint was drug retention of ABA, defined as the time between drug initiation and last administration plus one dispensation interval, and analyzed using a Cox proportional hazards model. A secondary endpoint was EULAR good or moderate response rate at one year, estimated by longitudinal interpolation and corrected for drug retention (Lundex (3)). All analyses were adjusted for potential confounders, e.g. calendar year, demographics, country and disease characteristics. Results We identified 3461 pts initiating ABA with 5475 pt-years of follow-up. Of these, 2314 pts (67%) received ABA in COMBO (53% - methotrexate, 8% - leflunomide, 6% - other csDMARDs) and 1147 pts (33%) in MONO. Pts on MONO were older (mean 59 vs. 57 years, p The median retention time of ABA in MONO was 2.02 years (IQR: 1.76 – 2.27) compared to 2.05 years (IQR: 1.90 – 2.22) in COMBO (p=0.76). No significant difference in ABA retention rates was found with or without sDMARD cotherapy (Hazard Ratio (HR) MONO vs COMBO: 1.02 (95%CI: 0.92 – 1.13)). Furthermore, ABA drug retention did not differ between the various sDMARDs cotherapy combinations. Results remained similar when examining only ABA treatment discontinuations for ineffectiveness (HR MONO vs COMBO: 0.97 (95%CI: 0.84 – 1.13)). Furthermore, both the EULAR response rates and the Lundex based on EULAR response rates at one year were similar with or without sDMARD cotherapy (81% EULAR good or moderate responses on ABA MONO vs. 80% on COMBO, p=0.55. Lundex responders 55% on ABA MONO vs. 55% on COMBO, p=0.91). We found no effect modification by country. Conclusions The results of this large pooled RA population of mostly inadequate responders to anti-TNFs, suggest that ABA retention and response to ABA treatment are not influenced by csDMARDs cotherapy. References Emery P. et al. Ann Rheum Dis. 2013 Dec;72(12):1897-904. Schiff M et al. Ann Rheum Dis 2009;68:1708–14. Kristensen LE. et al. Arthritis Rheum. 2006 Feb;54(2):600-6. Disclosure of Interest A. Finckh Grant/research support: Unrestricted Research grant from BMS, D. Neto Grant/research support: Unrestricted Research grant from BMS, J. Gomez-Reino: None declared, F. Iannone: None declared, E. Lie: None declared, H. Canhao: None declared, K. Pavelka: None declared, C. Turesson: None declared, X. Mariette: None declared, J.-E. Gottenberg: None declared, M. Hetland: None declared DOI 10.1136/annrheumdis-2014-eular.3004
628 citations
Authors
Showing all 32719 results
Name | H-index | Papers | Citations |
---|---|---|---|
Ronald C. Petersen | 178 | 1091 | 153067 |
P. Chang | 170 | 2154 | 151783 |
Vaclav Vrba | 141 | 1298 | 95671 |
Milos Lokajicek | 139 | 1511 | 98888 |
Christopher D. Manning | 138 | 499 | 147595 |
Yves Sirois | 137 | 1334 | 95714 |
Rupert Leitner | 136 | 1201 | 90597 |
Gerald M. Reaven | 133 | 799 | 80351 |
Roberto Sacchi | 132 | 1186 | 89012 |
S. Errede | 132 | 1481 | 98663 |
Mark Neubauer | 131 | 1252 | 89004 |
Peter Kodys | 131 | 1262 | 85267 |
Panos A Razis | 130 | 1287 | 90704 |
Vit Vorobel | 130 | 919 | 79444 |
Jehad Mousa | 130 | 1226 | 86564 |