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6篇 您的检索式:作者名="Dirk Lassner"
    题名 作者 年代 出处 被引量
1Long noncoding RNA MALAT1-derived mascRNA is involved in cardiovascular innate immunity显示文摘Dear Editor,Next-generation sequencing revealed that the majority of the human genome is transcribed but has no coding function.It is estimated that.30000 long noncoding RNAs(lncRNAs)are expressed in humans,but their functions are largely unknown(Suckau et al.,2009;Rinn and Chang,2012;Poller et al.,2013).Consideration of noncoding genomic elements in pathogenetic studies is warranted and enabled by technological advances allowing comprehensive transcriptome mapping of protein-coding genes as well as small and long ncRNAs.Martina Gast Blanche Schroen Antje Voigt Jan Haas Uwe Kuehl Dirk Lassner Carsten Skurk Felicitas Escher Xiaomin Wang Adelheid Kratzer Katharina Michalik Anna Papageorgiou Tim Peters Madlen Loebel Sabrina Wilk Nadine Althof Kannanganattu VPrasanth Hugo Katus Benjamin Meder Shinichi Nakagawa Carmen Scheibenbogen Heinz-Peter Schultheiss Ulf Landmesser Stefanie Dimmeler Stephane Heymans Wolfgang Poller 2016Journal of Molecular Cell Biology2016,8,2:2
2High Prevalence of Viral Genomes and Multiple Viral Infections in the Myocardium of Adults With “Idiopathic” Left Ventricular Dysfunction显示文摘Uwe Kühl Matthias Pauschinger Michel Noutsias Bettina Seeberg Thomas Bock Dirk Lassner Wolfgang Poller Reinhard Kandolf Heinz-Peter Schultheiss 2005Circulation2005,,7:2
3Transactivation of human parvovirus B19 gene expression in endothelial cells by adenoviral helper functions显示文摘Tanja Pozzuto Kristina von Kietzell Thomas Bock Caroline Schmidt-Lucke Wolfgang Poller Thomas Zobel Dirk Lassner Heinz Zeichhardt Stefan Weger Henry Fechner 2010Virology2010,,1:1
4Adaptive immune responses against parvovirus B19 in patients with myocardial disease显示文摘Juha Lindner Michel Noutsias Dirk Lassner Jürgen Wenzel Heinz-Peter Schultheiss Uwe Kuehl Susanne Modrow 2008Journal of Clinical Virology2008,,1:1
5Single-target RNA interference for the blockade of multiple interacting proinflammatory and profibrotic pathways in cardiac fibroblasts显示文摘Juliane Tank Diana Lindner Xiaomin Wang Andrea Stroux Leona Gilke Martina Gast Christin Zietsch Carsten Skurk Carmen Scheibenbogen Karin Klingel Dirk Lassner Uwe Kühl Heinz-Peter Schultheiss Dirk Westermann Wolfgang Poller 2014Journal of Molecular and Cellular Cardiology2014,,:1
6Absent MicroRNAs in Different Tissues of Patients with Acquired Cardiomyopathy显示文摘Micro RNAs(mi RNAs) can be found in a wide range of tissues and body ?uids, and their speci?c signatures can be used to determine diseases or predict clinical courses. The mi RNA pro?les in biological samples(tissue, serum, peripheral blood mononuclear cells or other body ?uids) differ signi?cantly even in the same patient and therefore have their own speci?city for the presented condition. Complex pro?les of deregulated mi RNAs are of high interest, whereas the importance of non-expressed mi RNAs was ignored. Since mi RNAs regulate gene expression rather negatively,absent mi RNAs could indicate genes with unaltered expression that therefore are normally expressed in speci?c compartments or under speci?c disease situations. For the ?rst time,non-detectable mi RNAs in different tissues and body ?uids from patients with different diseases(cardiomyopathies, Alzheimer's disease, bladder cancer, and ocular cancer) were analyzed and compared in this study. mi RNA expression data were generated by microarray or Taq Man PCR-based platforms. Lists of absent mi RNAs of primarily cardiac patients(myocardium, blood cells, and serum) were clustered and analyzed for potentially involved pathways using two prediction platforms, i.e., mi RNA enrichment analysis and annotation tool(mi EAA) and DIANA mi RPath.Extensive search in biomedical publication databases for the relevance of non-expressed mi RNAs in predicted pathways revealed no evidence for their involvement in heart-related pathways as indicated by software tools, con?rming proposed approach.Christine S. Siegismund Maria Rohde Uwe Kiihl Felicitas Escher Heinz Peter Schultheiss Dirk Lassner 2016Genomics, Proteomics & Bioinformatics2016,14,4:0
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