Jens U. Marquardt

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MOTIVATION Next-generation sequencing technology enables an entirely new perspective for clinical research and will speed up personalized medicine. In contrast to microarray-based approaches, RNA-Seq analysis provides a much more comprehensive and unbiased view of gene expression. Although the perspective is clear and the long-term success of this new(More)
BACKGROUND Previous work has established that HGF/c-Met signaling plays a pivotal role in regulating the onset of S phase following partial hepatectomy (PH). In this study, we used Met(fl/fl);Alb-Cre(+/-) conditional knockout mice to determine the effects of c-Met dysfunction in hepatocytes on kinetics of liver regeneration. METHODOLOGY/PRINCIPAL FINDING(More)
BACKGROUND Cancer cells are characterized by massive dysegulation of physiological cell functions with considerable disruption of transcriptional regulation. Genome-wide transcriptome profiling can be utilized for early detection and molecular classification of cancers. Accurate discrimination of functionally different tumor types may help to guide(More)
Hepatocellular Carcinoma (HCC) is the third most deadly malignancy worldwide characterized by phenotypic and molecular heterogeneity. In the past two decades, advances in genomic analyses have formed a comprehensive understanding of different underlying pathobiological layers resulting in hepatocarcinogenesis. More recently, improvements of sophisticated(More)
MOTIVATION Co-regulated genes are not identified in traditional microarray analyses, but may theoretically be closely functionally linked [guilt-by-association (GBA), guilt-by-profiling]. Thus, bioinformatics procedures for guilt-by-profiling/association analysis have yet to be applied to large-scale cancer biology. We analyzed 2158 full cancer(More)
The incidence of non-alcoholic steatohepatitis (NASH) is increasing worldwide and a poorly defined subset of patients develops end-stage liver disease and hepatocellular carcinoma (HCC). Differences in the biological behaviour, tumour characteristics, associated risk factors, treatment outcomes and overall survival of patients with NASH-HCC remain poorly(More)
Genetic factors contribute to progression and modulation of hepatic fibrosis. High throughput genomics/transcriptomics approaches aiming at identifying key regulators of fibrosis development are tainted with the difficulty of separating essential biological “driver” from modifier genes. We applied a comparative transcriptomics approach and investigated(More)
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