Publications by authors named "Sylvia Merk"

Unlabelled: BACKGROUND Very severe aplastic anemia is characterized by a hypoplastic bone marrow due to destruction of CD34(+) stem cells by autoreactive T cells. Investigation of the pathomechanism by patient-specific gene expression analysis of the attacked stem cells has previously been impractical because of the scarcity of these cells at diagnosis.

Design And Methods: Employing unbiased RNA amplification, patient-specific gene expression profiling was carried out for CD34(+) cells from patients newly diagnosed with very severe aplastic anemia (n=13), refractory anemia (n=8) and healthy controls (n=10).

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Motivation: The analysis of a number of different genetic features like copy number (CN) variation, gene expression (GE) or loss of heterocygosity has considerably increased in recent years, as well as the number of available datasets. This is particularly due to the success of microarray technology. Thus, to understand mechanisms of disease pathogenesis on a molecular basis, e.

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AML/MDS patients carrying 11q amplifications involving the mixed lineage leukemia gene (MLL) locus are characterized by a complex aberrant karyotype (CAK) frequently including deletions within 5q, 17p, and 7q, older age and fast progression of the disease with extremely poor prognosis. MLL has been shown to be overexpressed in cases with 11q amplification. However, in most of the cases, the amplified region is not restricted to the MLL locus.

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The establishment of microarray technology enables the analysis of global gene expression in a single experiment. This novel analysis technique is not only used in human medicine but also has found its way into veterinary medicine. This article presents an overview of the underlying technology as well as a description of various data analysis techniques.

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MicroRNAs (miRNAs) play an important role in cellular differentiation and cancer pathogenesis. This study analysed the expression of 154 human miRNAs in acute myeloid leukaemia (AML) and control samples using a stem-loop real-time reverse transcription polymerase chain reaction approach. Global patterns of miRNA expression in AML, normal bone marrow (NBM) and CD34(+) progenitor cells allowed correct class predictions similar to whole genome microarray expression analyses that were performed at the same time.

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Objectives: This study was designed to identify a common gene expression signature in dilated cardiomyopathy (DCM) across different microarray studies.

Background: Dilated cardiomyopathy is a common cause of heart failure in Western countries. Although gene expression arrays have emerged as a powerful tool for delineating complex disease patterns, differences in platform technology, tissue heterogeneity, and small sample sizes obscure the underlying pathophysiologic events and hamper a comprehensive interpretation of different microarray studies in heart failure.

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The purpose of our investigation was to identify the transcriptional basis for ultrastructural and functional specialization of human atria and ventricles. Using exploratory microarray analysis (Affymetrix U133A+B), we detected 11,740 transcripts expressed in human heart, representing the most comprehensive report of the human myocardial transcriptome to date. Variation in gene expression between atria and ventricles accounted for the largest differences in this data set, as 3.

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Atrial fibrillation is associated with increased expression of ventricular myosin isoforms in atrial myocardium, regarded as part of a dedifferentiation process. Whether reexpression of ventricular isoforms in atrial fibrillation is restricted to transcripts encoding for contractile proteins is unknown. Therefore, this study compares atrial mRNA expression in patients with permanent atrial fibrillation to atrial mRNA expression in patients with sinus rhythm and to ventricular gene expression using Affymetrix U133 arrays.

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To obtain region- and disease-specific transcription profiles of human myocardial tissue, we explored mRNA expression from all four chambers of eight explanted failing [idiopathic dilated cardiomyopathy (DCM), n=5; ischemic cardiomyopathy (ICM), n=3], and five non-failing hearts using high-density oligonucleotide arrays (Affymetrix U95Av2). We performed pair-wise comparisons of gene expression in the categories (1) atria versus ventricles, (2) disease-regulated genes in atria and (3) disease-regulated genes in ventricles. In the 51 heart samples examined, 549 genes showed divergent distribution between atria and ventricles (272 genes with higher expression in atria, 277 genes with higher expression in ventricles).

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