Publications

958 Publications visible to you, out of a total of 958

Abstract (Expand)

This study is aimed at investigating lung diseases described by common pathomechanisms based on evaluation of gene expression profiles in molecular pathways. 16 datasets containing 428 samples for 22 health conditions were taken from Gene Expression Omnibus. Self organizing maps (Wirth, H. et al.BMC Bioinformatics 2011;12:306) and cluster analysis with dynamic tree cut were used for gene expression based disease clustering. In-house pathway signal flow algorithm and phylogenetic analysis were applied to find common pathway deregulation patterns in clusters. Analysis resulted in grouping the 22 conditions into 5 clusters (fig.1). PSF and phylogenetic analysis identified unique pathway deregulation patterns for each cluster (fig.2).

Authors: A. Arakelyan, L. Nersisyan, Henry Löffler-Wirth, Hans Binder

Date Published: 2014

Publication Type: Not specified

Human Diseases: lung disease

Abstract (Expand)

External ventricular drainage (EVD) is frequently used in neurosurgery to drain cerebrospinal fluid in patients with raised intracranial pressure. We performed a retrospective single center study in order to evaluate the incidence of EVD-related infections and to identify underlying risk factors. 246 EVDs were placed in 218 patients over a 30-month period. EVD was continued in median for 7 days (range 1-44). The cumulative incidence of EVD-related infections was 8.3% (95% CI, 5.3-12.7) with a device-associated infection rate of 10.4 per 1000 drainage days (95% CI, 6.2-16.5). The pathogens most commonly identified were coagulase-negative Staphylococcus (62%) followed by Enterococcus spp. (19%). Patients with an EVD-related infection had a significantly longer ICU (11 versus 21 days, P \textless 0.01) and hospital stay (20 versus 28.5 days, P \textless 0.01) than patients without. Median total duration of external drainage was twice as long in patients with EVD-related infection (6 versus 12 days, P \textless 0.01). However, there was no significant difference in the duration between first EVD placement and the occurrence of EVD-related infection and EVD removal in patients without EVD-related infection (6 versus 7 days, P = 0.87), respectively. Interestingly no risk factor for EVD-related infection could be identified in our cohort of patients.

Authors: S. Hagel, T. Bruns, M. W. Pletz, C. Engel, R. Kalff, C. Ewald

Date Published: 2014

Publication Type: Journal article

Human Diseases: disease by infectious agent

Abstract (Expand)

BACKGROUND\backslashr\backslashnThe genome is pervasively transcribed but most transcripts do not code for proteins, constituting non-protein coding RNAs. Despite increasing numbers of functional reports of individual long noncoding RNAs (lncRNAs), assessing the extent of functionality among the non-coding transcriptional output of mammalian cells remains intricate. In the protein coding world, transcripts differentially expressed in the context of processes essential for the survival of multicellular organisms have been instrumental for the discovery of functionally relevant proteins and their deregulation is frequently associated with diseases. We therefore systematically identify lncRNAs expressed differentially in response to oncologically relevant processes, cell-cycle, p53-, and STAT3 pathway, using tiling arrays.\backslashr\backslashnRESULTS\backslashr\backslashnWe find that up to 80% of the pathway-triggered transcriptional response can be non-coding. Among these we identify very large macroRNAs with pathway-specific expression patterns and demonstrate that these are likely continuous transcripts. MacroRNAs contain elements conserved in mammals and sauropsids, which in part exhibit conserved RNA secondary structure. Comparing evolutionary rates of a macroRNA to adjacent protein coding genes suggests a local action of the transcript. Finally, in different grades of astrocytoma, a tumor disease unrelated to the initially used cell lines, macroRNAs are differentially expressed.\backslashr\backslashnCONCLUSIONS\backslashr\backslashnIt has been shown previously that the majority of expressed non-ribosomal transcripts are non-coding. We now conclude that differential expression triggered by signaling pathways gives rise to a similar abundance of non-coding content. It is thus unlikely that the prevalence of non-coding transcripts in the cell is a trivial consequence of leaky or random transcription events. BACKGROUND The genome is pervasively transcribed but most transcripts do not code for proteins, constituting non-protein-coding RNAs. Despite increasing numbers of functional reports of individual long non-coding RNAs (lncRNAs), assessing the extent of functionality among the non-coding transcriptional output of mammalian cells remains intricate. In the protein-coding world, transcripts differentially expressed in the context of processes essential for the survival of multicellular organisms have been instrumental in the discovery of functionally relevant proteins and their deregulation is frequently associated with diseases. We therefore systematically identified lncRNAs expressed differentially in response to oncologically relevant processes and cell-cycle, p53 and STAT3 pathways, using tiling arrays. RESULTS We found that up to 80% of the pathway-triggered transcriptional responses are non-coding. Among these we identified very large macroRNAs with pathway-specific expression patterns and demonstrated that these are likely continuous transcripts. MacroRNAs contain elements conserved in mammals and sauropsids, which in part exhibit conserved RNA secondary structure. Comparing evolutionary rates of a macroRNA to adjacent protein-coding genes suggests a local action of the transcript. Finally, in different grades of astrocytoma, a tumor disease unrelated to the initially used cell lines, macroRNAs are differentially expressed. CONCLUSIONS It has been shown previously that the majority of expressed non-ribosomal transcripts are non-coding. We now conclude that differential expression triggered by signaling pathways gives rise to a similar abundance of non-coding content. It is thus unlikely that the prevalence of non-coding transcripts in the cell is a trivial consequence of leaky or random transcription events.

Authors: Jörg Hackermüller, Kristin Reiche, Christian Otto, Nadine Hösler, Conny Blumert, Katja Brocke-Heidrich, Levin Böhlig, Anne Nitsche, Katharina Kasack, Peter Ahnert, Wolfgang Krupp, Kurt Engeland, Peter F. Stadler, Friedemann Horn

Date Published: 2014

Publication Type: Journal article

Abstract

Not specified

Author: Alfred Winter

Date Published: 2014

Publication Type: InCollection

Abstract

Not specified

Author: Alfred Winter

Date Published: 2014

Publication Type: InCollection

Abstract

Not specified

Authors: Alfred Winter, R. Alt, Jan Ehmke, Reinhold Haux, Dirk Mattfeld, A. Oberweis, Barbara Paech

Date Published: 2014

Publication Type: Journal article

Abstract

Not specified

Authors: Michael Schaaf, Sebastian Stäubert, R. Brandner, Alfred Winter

Date Published: 2014

Publication Type: Misc

Powered by
(v.1.13.0-master)
Copyright © 2008 - 2021 The University of Manchester and HITS gGmbH
Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig

By continuing to use this site you agree to the use of cookies