Institution
University of Münster
Education•Münster, Germany•
About: University of Münster is a education organization based out in Münster, Germany. It is known for research contribution in the topics: Population & Transplantation. The organization has 35609 authors who have published 69059 publications receiving 2278534 citations. The organization is also known as: University of Munster & University of Muenster.
Topics: Population, Transplantation, Lithium, Mass spectrometry, Electrolyte
Papers published on a yearly basis
Papers
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TL;DR: The identification of MALAT-1 emphasizes the potential role of noncoding RNAs in human cancer and contributes to the identification of early-stage NSCLC patients that are at high risk to develop metastasis.
Abstract: Early-stage non-small cell lung cancer (NSCLC) can be cured by surgical resection, but a substantial fraction of patients ultimately dies due to distant metastasis. In this study, we used subtractive hybridization to identify gene expression differences in stage I NSCLC tumors that either did or did not metastasize in the course of disease. Individual clones (n=225) were sequenced and quantitative RT-PCR verified overexpression in metastasizing samples. Several of the identified genes (eIF4A1, thymosin beta4 and a novel transcript named MALAT-1) were demonstrated to be significantly associated with metastasis in NSCLC patients (n=70). The genes' association with metastasis was stage- and histology specific. The Kaplan-Meier analyses identified MALAT-1 and thymosin beta4 as prognostic parameters for patient survival in stage I NSCLC. The novel MALAT-1 transcript is a noncoding RNA of more than 8000 nt expressed from chromosome 11q13. It is highly expressed in lung, pancreas and other healthy organs as well as in NSCLC. MALAT-1 expressed sequences are conserved across several species indicating its potentially important function. Taken together, these data contribute to the identification of early-stage NSCLC patients that are at high risk to develop metastasis. The identification of MALAT-1 emphasizes the potential role of noncoding RNAs in human cancer.
1,955 citations
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TL;DR: In this paper, the use of a matrix for pulsed ultraviolet laser desorption mass spectrometry is shown to extend its applicability into the range of larger, thermally labile biomolecules.
1,909 citations
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TL;DR: A genome-wide association meta-analysis of individuals with clinically assessed or self-reported depression identifies 44 independent and significant loci and finds important relationships of genetic risk for major depression with educational attainment, body mass, and schizophrenia.
Abstract: Major depressive disorder (MDD) is a common illness accompanied by considerable morbidity, mortality, costs, and heightened risk of suicide. We conducted a genome-wide association meta-analysis based in 135,458 cases and 344,901 controls and identified 44 independent and significant loci. The genetic findings were associated with clinical features of major depression and implicated brain regions exhibiting anatomical differences in cases. Targets of antidepressant medications and genes involved in gene splicing were enriched for smaller association signal. We found important relationships of genetic risk for major depression with educational attainment, body mass, and schizophrenia: lower educational attainment and higher body mass were putatively causal, whereas major depression and schizophrenia reflected a partly shared biological etiology. All humans carry lesser or greater numbers of genetic risk factors for major depression. These findings help refine the basis of major depression and imply that a continuous measure of risk underlies the clinical phenotype.
1,898 citations
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Harvard University1, Broad Institute2, University of Pennsylvania3, National Institutes of Health4, Boston University5, Lund University6, University of Copenhagen7, University of Texas Health Science Center at Houston8, deCODE genetics9, Queen Mary University of London10, University of Lübeck11, University of Leicester12, Glenfield Hospital13, University of Oxford14, University of Cambridge15, University of Ottawa16, University of Iceland17, Population Health Research Institute18, McGill University19, Vanderbilt University20, University of Missouri–Kansas City21, University of Münster22, University of Verona23, Queen's University Belfast24, MedStar Washington Hospital Center25, GlaxoSmithKline26, University of Helsinki27, Karolinska Institutet28, University of Mainz29, Utrecht University30, University of Groningen31, University of Michigan32, Centro Nacional de Investigaciones Cardiovasculares33, United States Department of Agriculture34, University of North Carolina at Chapel Hill35, University of Regensburg36, Katholieke Universiteit Leuven37, University of Edinburgh38, University of Kiel39, University of Leeds40, Aarhus University41, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico42, University of Washington43, Wellcome Trust Sanger Institute44
TL;DR: In this paper, a Mendelian randomisation analysis was performed to compare the effect of HDL cholesterol, LDL cholesterol, and genetic score on risk of myocardial infarction.
Abstract: Methods We performed two mendelian randomisation analyses. First, we used as an instrument a single nucleotide polymorphism (SNP) in the endothelial lipase gene (LIPG Asn396Ser) and tested this SNP in 20 studies (20 913 myocardial infarction cases, 95 407 controls). Second, we used as an instrument a genetic score consisting of 14 common SNPs that exclusively associate with HDL cholesterol and tested this score in up to 12 482 cases of myocardial infarction and 41 331 controls. As a positive control, we also tested a genetic score of 13 common SNPs exclusively associated with LDL cholesterol. – ¹³) but similar levels of other lipid and non-lipid risk factors for myocardial infarction compared with noncarriers. This diff erence in HDL cholesterol is expected to decrease risk of myocardial infarction by 13% (odds ratio [OR] 0·87, 95% CI 0·84–0·91). However, we noted that the 396Ser allele was not associated with risk of myocardial infarction (OR 0·99, 95% CI 0·88–1·11, p=0·85). From observational epidemiology, an increase of 1 SD in HDL cholesterol was associated with reduced risk of myocardial infarction (OR 0·62, 95% CI 0·58–0·66). However, a 1 SD increase in HDL cholesterol due to genetic score was not associated with risk of myocardial infarction (OR 0·93, 95% CI 0·68–1·26, p=0·63). For LDL cholesterol, the estimate from observational epidemiology (a 1 SD increase in LDL cholesterol associated with OR 1·54, 95% CI 1·45–1·63) was concordant with that from genetic score (OR 2·13, 95% CI 1·69–2·69, p=2×10
1,878 citations
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TL;DR: This Perspective highlights the potential of metal-catalysed C-H bond activation reactions, which now extend beyond the field of traditional synthetic organic chemistry, and are more atom- and step-economical than previous methods.
Abstract: The beginning of the twenty-first century has witnessed significant advances in the field of C-H bond activation, and this transformation is now an established piece in the synthetic chemists' toolbox. This methodology has the potential to be used in many different areas of chemistry, for example it provides a perfect opportunity for the late-stage diversification of various kinds of organic scaffolds, ranging from relatively small molecules like drug candidates, to complex polydisperse organic compounds such as polymers. In this way, C-H activation approaches enable relatively straightforward access to a plethora of analogues or can help to streamline the lead-optimization phase. Furthermore, synthetic pathways for the construction of complex organic materials can now be designed that are more atom- and step-economical than previous methods and, in some cases, can be based on synthetic disconnections that are just not possible without C-H activation. This Perspective highlights the potential of metal-catalysed C-H bond activation reactions, which now extend beyond the field of traditional synthetic organic chemistry.
1,838 citations
Authors
Showing all 36075 results
Name | H-index | Papers | Citations |
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Hyun-Chul Kim | 176 | 4076 | 183227 |
Klaus Müllen | 164 | 2125 | 140748 |
Giacomo Bruno | 158 | 1687 | 124368 |
Anders M. Dale | 156 | 823 | 133891 |
Holger J. Schünemann | 141 | 810 | 113169 |
Joachim Heinrich | 136 | 1309 | 76887 |
Markus Merschmeyer | 132 | 1188 | 84975 |
Klaus Ley | 129 | 495 | 57964 |
Robert W. Mahley | 128 | 363 | 60774 |
Robert J. Kurman | 127 | 397 | 60277 |
Bart Barlogie | 126 | 779 | 57803 |
Thomas Schwarz | 123 | 701 | 54560 |
Carlos Caldas | 122 | 547 | 73840 |
Klaus Weber | 121 | 524 | 60346 |
Andrey L. Rogach | 117 | 576 | 46820 |