Eckart Meese mainly investigates microRNA, Molecular biology, Genetics, Gene and Bioinformatics. His research in microRNA intersects with topics in Cancer, Gene expression profiling, Microarray, Biomarker and Regulation of gene expression. His study in Gene expression profiling is interdisciplinary in nature, drawing from both DNA microarray, Disease, Human genetics and DNA sequencing.
His Molecular biology study integrates concerns from other disciplines, such as CCR1, XCL2, Alternative splicing, Complementary DNA and Fusion protein. His research investigates the link between Gene and topics such as Virology that cross with problems in Human endogenous retrovirus, Human endogenous retrovirus K and Chromosome 7. His work in Bioinformatics addresses issues such as Computational biology, which are connected to fields such as Candidate Disease Gene, Gene regulatory network and MiRBase.
Eckart Meese spends much of his time researching microRNA, Genetics, Gene, Molecular biology and Cancer research. His studies in microRNA integrate themes in fields like Bioinformatics, Gene expression profiling, Disease, Regulation of gene expression and Computational biology. His Bioinformatics research incorporates themes from Biomarker, Cancer and DNA microarray.
His research integrates issues of Microarray and Lung cancer, Pathology in his study of Cancer. His work carried out in the field of Gene brings together such families of science as Cell culture and Cell. His biological study spans a wide range of topics, including Fluorescence in situ hybridization, Locus, DNA and Gene mapping.
His scientific interests lie mostly in microRNA, Computational biology, Gene, Cell biology and RNA. His microRNA research includes elements of Microarray, Gene expression, Phenotype, Disease and Regulation of gene expression. His Gene expression study combines topics from a wide range of disciplines, such as Blood cell and Cancer research, Angiogenesis.
His Computational biology research also works with subjects such as
Eckart Meese focuses on microRNA, Computational biology, Cell biology, Gene and MiRBase. The various areas that he examines in his microRNA study include Microarray, Gene expression, Candidate Disease Gene and Disease. He has included themes like Cancer and Oncology in his Disease study.
His work deals with themes such as Regulation of gene expression, Genome, Sequence analysis and Data set, which intersect with Computational biology. His Gene research is multidisciplinary, incorporating elements of Sperm, Andrology and Binding site. His work investigates the relationship between MiRBase and topics such as Sequencing data that intersect with problems in Biological data, Molecular Sequence Annotation and Human cell.
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Distribution of miRNA expression across human tissues
Nicole Ludwig;Petra Leidinger;Kurt Becker;Christina Backes.
Nucleic Acids Research (2016)
New insights into the Tyrolean Iceman's origin and phenotype as inferred by whole-genome sequencing
Andreas Keller;Angela Graefen;Markus Ball;Mark Matzas.
Nature Communications (2012)
Lymphocyte‐specific chemokine receptor CXCR3: regulation, chemokine binding and gene localization
Marcel Loetscher;Pius Loetscher;Nicole Brass;Eckart Meese.
European Journal of Immunology (1998)
Recombination: Multiply infected spleen cells in HIV patients.
Andreas Jung;Reinhard Maier;Jean-Pierre Vartanian;Gennady Bocharov.
GeneTrail—advanced gene set enrichment analysis
Christina Backes;Andreas Keller;Jan Kuentzer;Benny Kneissl.
Nucleic Acids Research (2007)
Tumorigenicity in human melanoma cell lines controlled by introduction of human chromosome 6.
Jeffrey M. Trent;Eric J. Stanbridge;Heyoung L. McBride;Eckart U. Meese.
A blood based 12-miRNA signature of Alzheimer disease patients
Petra Leidinger;Christina Backes;Stephanie Deutscher;Katja Schmitt.
Genome Biology (2013)
Multiple Sclerosis: MicroRNA Expression Profiles Accurately Differentiate Patients with Relapsing-Remitting Disease from Healthy Controls
Andreas Keller;Petra Leidinger;Julia Lange;Anne Borries.
PLOS ONE (2009)
Expression of CaT-like, a Novel Calcium-selective Channel, Correlates with the Malignancy of Prostate Cancer
Ulrich Wissenbach;Barbara A. Niemeyer;Thomas Fixemer;Arne Schneidewind.
Journal of Biological Chemistry (2001)
An estimate of the total number of true human miRNAs.
Alles J;Fehlmann T;Fischer U;Backes C.
Nucleic Acids Research (2019)
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