Bayerlová, Michaela

[["dc.bibliographiccitation.artnumber","135"],["dc.bibliographiccitation.journal","Frontiers in Oncology"],["dc.bibliographiccitation.volume","7"],["dc.contributor.author","Bayerlová, Michaela"],["dc.contributor.author","Menck, Kerstin"],["dc.contributor.author","Klemm, Florian"],["dc.contributor.author","Wolff, Alexander"],["dc.contributor.author","Pukrop, Tobias"],["dc.contributor.author","Binder, Claudia"],["dc.contributor.author","Beißbarth, Tim"],["dc.contributor.author","Bleckmann, Annalen"],["dc.date.accessioned","2019-07-09T11:43:27Z"],["dc.date.available","2019-07-09T11:43:27Z"],["dc.date.issued","2017"],["dc.description.abstract","Breast cancer is a heterogeneous disease and has been classified into five molecular subtypes based on gene expression profiles. Signaling processes linked to different breast cancer molecular subtypes and different clinical outcomes are still poorly understood. Aberrant regulation of Wnt signaling has been implicated in breast cancer progression. In particular Ror1/2 receptors and several other members of the non-canonical Wnt signaling pathway were associated with aggressive breast cancer behavior. However, Wnt signals are mediated via multiple complex pathways, and it is clinically important to determine which particular Wnt cascades, including their domains and targets, are deregulated in poor prognosis breast cancer. To investigate activation and outcome of the Ror2-dependent non-canonical Wnt signaling pathway, we overexpressed the Ror2 receptor in MCF-7 and MDA-MB231 breast cancer cells, stimulated the cells with its ligand Wnt5a, and we knocked-down Ror1 in MDA-MB231 cells. We measured the invasive capacity of perturbed cells to assess phenotypic changes, and mRNA was profiled to quantify gene expression changes. Differentially expressed genes were integrated into a literature-based non-canonical Wnt signaling network. The results were further used in the analysis of an independent dataset of breast cancer patients with metastasis-free survival annotation. Overexpression of the Ror2 receptor, stimulation with Wnt5a, as well as the combination of both perturbations enhanced invasiveness of MCF-7 cells. The expression-responsive targets of Ror2 overexpression in MCF-7 induced a Ror2/Wnt module of the non-canonical Wnt signaling pathway. These targets alter regulation of other pathways involved in cell remodeling processing and cell metabolism. Furthermore, the genes of the Ror2/Wnt module were assessed as a gene signature in patient gene expression data and showed an association with clinical outcome. In summary, results of this study indicate a role of a newly defined Ror2/Wnt module in breast cancer progression and present a link between Ror2 expression and increased cell invasiveness."],["dc.identifier.doi","10.3389/fonc.2017.00135"],["dc.identifier.pmid","28695110"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14538"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/58892"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.publisher","Frontiers Media S.A."],["dc.relation.eissn","2234-943X"],["dc.relation.issn","2234-943X"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.ddc","610"],["dc.title","Ror2 Signaling and Its Relevance in Breast Cancer Progression."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","3182"],["dc.bibliographiccitation.issue","17"],["dc.bibliographiccitation.journal","Development"],["dc.bibliographiccitation.lastpage","3194"],["dc.bibliographiccitation.volume","143"],["dc.contributor.author","Schille, Carolin"],["dc.contributor.author","Bayerlova, Michaela"],["dc.contributor.author","Bleckmann, Annalen"],["dc.contributor.author","Schambony, Alexandra"],["dc.date.accessioned","2018-11-07T10:08:51Z"],["dc.date.available","2018-11-07T10:08:51Z"],["dc.date.issued","2016"],["dc.description.abstract","The receptor tyrosine kinase Ror2 is a major Wnt receptor that activates beta-catenin-independent signaling and plays a conserved role in the regulation of convergent extension movements and planar cell polarity in vertebrates. Mutations in the ROR2 gene cause recessive Robinow syndrome in humans, a short-limbed dwarfism associated with craniofacial malformations. Here, we show that Ror2 is required for local upregulation of gdf6 at the neural plate border in Xenopus embryos. Ror2 morphant embryos fail to upregulate neural plate border genes and show defects in the induction of neural crest cell fate. These embryos lack the spatially restricted activation of BMP signaling at the neural plate border at early neurula stages, which is required for neural crest induction. Ror2-dependent planar cell polarity signaling is required in the dorsolateral marginal zone during gastrulation indirectly to upregulate the BMP ligand Gdf6 at the neural plate border and Gdf6 is sufficient to rescue neural plate border specification in Ror2 morphant embryos. Thereby, Ror2 links Wnt/planar cell polarity signaling to BMP signaling in neural plate border specification and neural crest induction."],["dc.identifier.doi","10.1242/dev.135426"],["dc.identifier.isi","000393450600015"],["dc.identifier.pmid","27578181"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/39549"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Company Of Biologists Ltd"],["dc.relation.issn","1477-9129"],["dc.relation.issn","0950-1991"],["dc.title","Ror2 signaling is required for local upregulation of GDF6 and activation of BMP signaling at the neural plate border"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","e1634"],["dc.bibliographiccitation.journal","Cell Death and Disease"],["dc.bibliographiccitation.volume","6"],["dc.contributor.author","Kramer, Daniela"],["dc.contributor.author","Schoen, M."],["dc.contributor.author","Bayerlova, M."],["dc.contributor.author","Bleckmann, Annalen"],["dc.contributor.author","Schoen, Michael Peter"],["dc.contributor.author","Zoernig, M."],["dc.contributor.author","Dobbelstein, Matthias"],["dc.date.accessioned","2018-11-07T10:01:17Z"],["dc.date.available","2018-11-07T10:01:17Z"],["dc.date.issued","2015"],["dc.description.abstract","The p53 family and its cofactors are potent inducers of apoptosis and form a barrier to cancer. Here, we investigated the impact of the supposedly inhibitory member of the apoptosis-stimulating protein of p53, iASPP, on the activity of the p53 homolog TAp73, and its cofactors p300 and CBP. We found that iASPP interacted with and stabilized the histone acetyltransferase p300 and its homolog CBP upon cisplatin treatment. Vice versa, iASPP depletion by shRNA resulted in decreased amounts of p300 and CBP, impaired binding of p300 and TAp73 to target site promoters, reduced induction of pro-apoptotic TAp73 target genes, and impaired apoptosis. Mechanistically, we observed that the p300-regulatory E3 ubiquitin ligase BRMS1 could rescue the degradation of p300 and CBP in cisplatin-treated, iASPP-depleted cells. This argues that iASPP stabilizes p300 and CBP by interfering with their BRMS1-mediated ubiquitination, thereby contributing to apoptotic susceptibility. In line, iASPP overexpression partially abolished the interaction of BRMS1 and CBP upon DNA damage. Reduced levels of iASPP mRNA and protein as well as CBP protein were observed in human melanoma compared with normal skin tissue and benign melanocytic nevi. In line with our findings, iASPP overexpression or knockdown of BRMS1 each augmented p300/CBP levels in melanoma cell lines, thereby enhancing apoptosis upon DNA damage. Taken together, destabilization of p300/CBP by downregulation of iASPP expression levels appears to represent a molecular mechanism that contributes to chemoresistance in melanoma cells."],["dc.description.sponsorship","Deutsche Krebshilfe; Wilhelm-Sander Stiftung"],["dc.description.sponsorship","Open Access Publikationsfonds 2015"],["dc.identifier.doi","10.1038/cddis.2015.17"],["dc.identifier.isi","000350575800008"],["dc.identifier.pmid","25675294"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/11853"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/37982"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Nature Publishing Group"],["dc.relation.issn","2041-4889"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","A pro-apoptotic function of iASPP by stabilizing p300 and CBP through inhibition of BRMS1 E3 ubiquitin ligase activity"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","Onkologie"],["dc.bibliographiccitation.volume","35"],["dc.contributor.author","Bleckmann, Annalen"],["dc.contributor.author","Bayerlova, M."],["dc.contributor.author","Kramer, Franz-Josef"],["dc.contributor.author","Klemm, Florian"],["dc.contributor.author","Binder, Claudia"],["dc.contributor.author","Pukrop, Tobias"],["dc.contributor.author","Beißbarth, Tim"],["dc.date.accessioned","2018-11-07T09:04:54Z"],["dc.date.available","2018-11-07T09:04:54Z"],["dc.date.issued","2012"],["dc.format.extent","65"],["dc.identifier.isi","000310766700159"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/25203"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Karger"],["dc.publisher.place","Basel"],["dc.relation.issn","0378-584X"],["dc.title","Analyzing breast-cancer gene expression data using a newly developed graph-based WNT model in breast cancer"],["dc.type","conference_abstract"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1331"],["dc.bibliographiccitation.issue","8"],["dc.bibliographiccitation.journal","Glia"],["dc.bibliographiccitation.lastpage","1346"],["dc.bibliographiccitation.volume","61"],["dc.contributor.author","Chuang, Han-Ning"],["dc.contributor.author","van Rossum, Denise"],["dc.contributor.author","Sieger, Dirk"],["dc.contributor.author","Siam, Laila"],["dc.contributor.author","Klemm, Florian"],["dc.contributor.author","Bleckmann, Annalen"],["dc.contributor.author","Bayerlova, Michaela"],["dc.contributor.author","Farhat, Katja"],["dc.contributor.author","Scheffel, Joerg"],["dc.contributor.author","Schulz, Matthias"],["dc.contributor.author","Dehghani, Faramarz"],["dc.contributor.author","Stadelmann, Christine"],["dc.contributor.author","Hanisch, Uwe-Karsten"],["dc.contributor.author","Binder, Claudia"],["dc.contributor.author","Pukrop, Tobias"],["dc.date.accessioned","2018-11-07T09:21:57Z"],["dc.date.available","2018-11-07T09:21:57Z"],["dc.date.issued","2013"],["dc.description.abstract","The metastatic colonization of the brain by carcinoma cells is still barely understood, in particular when considering interactions with the host tissue. The colonization comes with a substantial destruction of the surrounding host tissue. This leads to activation of damage responses by resident innate immune cells to protect, repair, and organize the wound healing, but may distract from tumoricidal actions. We recently demonstrated that microglia, innate immune cells of the CNS, assist carcinoma cell invasion. Here we report that this is a fatal side effect of a physiological damage response of the brain tissue. In a brain slice coculture model, contact with both benign and malignant epithelial cells induced a response by microglia and astrocytes comparable to that seen at the interface of human cerebral metastases. While the glial damage response intended to protect the brain from intrusion of benign epithelial cells by inducing apoptosis, it proved ineffective against various malignant cell types. They did not undergo apoptosis and actually exploited the local tissue reaction to invade instead. Gene expression and functional analyses revealed that the C-X-C chemokine receptor type 4 (CXCR4) and WNT signaling were involved in this process. Furthermore, CXCR4-regulated microglia were recruited to sites of brain injury in a zebrafish model and CXCR4 was expressed in human stroke patients, suggesting a conserved role in damage responses to various types of brain injuries. Together, our findings point to a detrimental misuse of the glial damage response program by carcinoma cells resistant to glia-induced apoptosis. GLIA 2013;61:1331-1346"],["dc.identifier.doi","10.1002/glia.22518"],["dc.identifier.isi","000321983400011"],["dc.identifier.pmid","23832647"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/10955"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/29226"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Wiley-blackwell"],["dc.relation.issn","0894-1491"],["dc.rights","CC BY 3.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/3.0"],["dc.title","Carcinoma cells misuse the host tissue damage response to invade the brain"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","15482"],["dc.bibliographiccitation.issue","17"],["dc.bibliographiccitation.journal","Oncotarget"],["dc.bibliographiccitation.lastpage","15493"],["dc.bibliographiccitation.volume","6"],["dc.contributor.author","Rietkötter, Eva"],["dc.contributor.author","Bleckmann, Annalen"],["dc.contributor.author","Bayerlová, Michaela"],["dc.contributor.author","Menck, Kerstin"],["dc.contributor.author","Chuang, Han-Ning"],["dc.contributor.author","Wenske, Britta"],["dc.contributor.author","Schwartz, Hila"],["dc.contributor.author","Erez, Neta"],["dc.contributor.author","Binder, Claudia"],["dc.contributor.author","Hanisch, Uwe-Karsten"],["dc.contributor.author","Pukrop, Tobias"],["dc.date.accessioned","2019-07-09T11:42:37Z"],["dc.date.available","2019-07-09T11:42:37Z"],["dc.date.issued","2015-06-20"],["dc.description.abstract","The mononuclear phagocytic system is categorized in three major groups: monocyte-derived cells (MCs), dendritic cells and resident macrophages. During breast cancer progression the colony stimulating factor 1 (CSF-1) can reprogram MCs into tumor-promoting macrophages in the primary tumor. However, the effect of CSF-1 during colonization of the brain parenchyma is largely unknown. Thus, we analyzed the outcome of anti-CSF-1 treatment on the resident macrophage population of the brain, the microglia, in comparison to MCs, alone and in different in vitro co-culture models. Our results underline the addiction of MCs to CSF-1 while surprisingly, microglia were not affected. Furthermore, in contrast to the brain, the bone marrow did not express the alternative ligand, IL-34. Yet treatment with IL-34 and co-culture with carcinoma cells partially rescued the anti-CSF-1 effects on MCs. Further, MC-induced invasion was significantly reduced by anti-CSF-1 treatment while microglia-induced invasion was reduced to a lower extend. Moreover, analysis of lung and breast cancer brain metastasis revealed significant differences of CSF-1 and CSF-1R expression. Taken together, our findings demonstrate not only differences of anti-CSF-1 treatment on MCs and microglia but also in the CSF-1 receptor and ligand expression in brain and bone marrow as well as in brain metastasis."],["dc.identifier.doi","10.18632/oncotarget.3855"],["dc.identifier.fs","618466"],["dc.identifier.pmid","26098772"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/13609"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/58709"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","1949-2553"],["dc.rights","CC BY 3.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/3.0"],["dc.subject.mesh","Animals"],["dc.subject.mesh","Antibodies, Monoclonal"],["dc.subject.mesh","Brain"],["dc.subject.mesh","Brain Neoplasms"],["dc.subject.mesh","Breast Neoplasms"],["dc.subject.mesh","Cell Line, Tumor"],["dc.subject.mesh","Cell Movement"],["dc.subject.mesh","Cell Proliferation"],["dc.subject.mesh","Female"],["dc.subject.mesh","Humans"],["dc.subject.mesh","Interleukin-1"],["dc.subject.mesh","MCF-7 Cells"],["dc.subject.mesh","Macrophage Colony-Stimulating Factor"],["dc.subject.mesh","Macrophages"],["dc.subject.mesh","Mice"],["dc.subject.mesh","Mice, Inbred BALB C"],["dc.subject.mesh","Microglia"],["dc.subject.mesh","Monocytes"],["dc.subject.mesh","Neoplasm Invasiveness"],["dc.subject.mesh","Receptor, Macrophage Colony-Stimulating Factor"],["dc.title","Anti-CSF-1 treatment is effective to prevent carcinoma invasion induced by monocyte-derived cells but scarcely by microglia."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","334"],["dc.bibliographiccitation.journal","BMC Bioinformatics"],["dc.bibliographiccitation.volume","16"],["dc.contributor.author","Bayerlová, Michaela"],["dc.contributor.author","Jung, Klaus"],["dc.contributor.author","Kramer, Frank"],["dc.contributor.author","Klemm, Florian"],["dc.contributor.author","Bleckmann, Annalen"],["dc.contributor.author","Beißbarth, Tim"],["dc.date.accessioned","2018-11-07T09:50:02Z"],["dc.date.available","2018-11-07T09:50:02Z"],["dc.date.issued","2015"],["dc.description.abstract","Background: Enrichment analysis is a popular approach to identify pathways or sets of genes which are significantly enriched in the context of differentially expressed genes. The traditional gene set enrichment approach considers a pathway as a simple gene list disregarding any knowledge of gene or protein interactions. In contrast, the new group of so called pathway topology-based methods integrates the topological structure of a pathway into the analysis. Methods: We comparatively investigated gene set and pathway topology-based enrichment approaches, considering three gene set and four topological methods. These methods were compared in two extensive simulation studies and on a benchmark of 36 real datasets, providing the same pathway input data for all methods. Results: In the benchmark data analysis both types of methods showed a comparable ability to detect enriched pathways. The first simulation study was conducted with KEGG pathways, which showed considerable gene overlaps between each other. In this study with original KEGG pathways, none of the topology-based methods outperformed the gene set approach. Therefore, a second simulation study was performed on non-overlapping pathways created by unique gene IDs. Here, methods accounting for pathway topology reached higher accuracy than the gene set methods, however their sensitivity was lower. Conclusions: We conducted one of the first comprehensive comparative works on evaluating gene set against pathway topology-based enrichment methods. The topological methods showed better performance in the simulation scenarios with non-overlapping pathways, however, they were not conclusively better in the other scenarios. This suggests that simple gene set approach might be sufficient to detect an enriched pathway under realistic circumstances. Nevertheless, more extensive studies and further benchmark data are needed to systematically evaluate these methods and to assess what gain and cost pathway topology information introduces into enrichment analysis. Both types of methods for enrichment analysis require further improvements in order to deal with the problem of pathway overlaps."],["dc.description.sponsorship","Open-Access Publikationsfonds 2015"],["dc.identifier.doi","10.1186/s12859-015-0751-5"],["dc.identifier.isi","000363615900001"],["dc.identifier.pmid","26489510"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/12346"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/35629"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Biomed Central Ltd"],["dc.relation.issn","1471-2105"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Comparative study on gene set and pathway topology-based enrichment methods"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","e0144014"],["dc.bibliographiccitation.issue","12"],["dc.bibliographiccitation.journal","PLoS ONE"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Bayerlová, Michaela"],["dc.contributor.author","Klemm, Florian"],["dc.contributor.author","Kramer, Frank"],["dc.contributor.author","Pukrop, Tobias"],["dc.contributor.author","Beißbarth, Tim"],["dc.contributor.author","Bleckmann, Annalen"],["dc.date.accessioned","2018-11-07T09:47:50Z"],["dc.date.available","2018-11-07T09:47:50Z"],["dc.date.issued","2015"],["dc.description.abstract","Introduction WNT signaling is a complex process comprising multiple pathways: the canonical beta-catenin- dependent pathway and several alternative non-canonical pathways that act in a beta-catenin- independent manner. Representing these intricate signaling mechanisms through bioinformatic approaches is challenging. Nevertheless, a simplified but reliable bioinformatic WNT pathway model is needed, which can be further utilized to decipher specific WNT activation states within e.g. high-throughput data. Results In order to build such a model, we collected, parsed, and curated available WNT signaling knowledge from different pathway databases. The data were assembled to construct computationally suitable models of different WNT signaling cascades in the form of directed signaling graphs. This resulted in four networks representing canonical WNT signaling, non-canonical WNT signaling, the inhibition of canonical WNT signaling and the regulation of WNT signaling pathways, respectively. Furthermore, these networks were integrated with microarray and RNA sequencing data to gain deeper insight into the underlying biology of gene expression differences between MCF-7 and MDA-MB-231 breast cancer cell lines, representing weakly and highly invasive breast carcinomas, respectively. Differential genes up-regulated in the MDA-MB-231 compared to the MCF-7 cell line were found to display enrichment in the gene set originating from the non-canonical network. Moreover, we identified and validated differentially regulated modules representing canonical and non-canonical WNT pathway components specific for the aggressive basal-like breast cancer subtype. Conclusions In conclusion, we demonstrated that these newly constructed WNT networks reliably reflect distinct WNT signaling processes. Using transcriptomic data, we shaped these networks into comprehensive modules of the genes implicated in the aggressive basal-like breast cancer subtype and demonstrated that non-canonical WNT signaling is important in this context. The topology of these networks can be further refined in the future by integration with complementary data such as protein-protein interactions, in order to gain greater insight into signaling processes."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2015"],["dc.identifier.doi","10.1371/journal.pone.0144014"],["dc.identifier.isi","000366040000042"],["dc.identifier.pmid","26632845"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/12616"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/35182"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Public Library Science"],["dc.relation.issn","1932-6203"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Newly Constructed Network Models of Different WNT Signaling Cascades Applied to Breast Cancer Expression Data"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","Glia"],["dc.bibliographiccitation.volume","61"],["dc.contributor.author","Chuang, H.-N."],["dc.contributor.author","vanRossum, D. V."],["dc.contributor.author","Sieger, Dirk"],["dc.contributor.author","Siam, Laila"],["dc.contributor.author","Klemm, Florian"],["dc.contributor.author","Bleckmann, Annalen"],["dc.contributor.author","Bayerlova, M."],["dc.contributor.author","Wenske, Britta"],["dc.contributor.author","Farhat, Katja"],["dc.contributor.author","Scheffel, Joerg"],["dc.contributor.author","Schulz, M."],["dc.contributor.author","Dehghani, Faramarz"],["dc.contributor.author","Stadelmann, Christine"],["dc.contributor.author","Hanisch, U.-K."],["dc.contributor.author","Binder, Claudia"],["dc.contributor.author","Pukrop, Tobias"],["dc.date.accessioned","2018-11-07T09:23:22Z"],["dc.date.available","2018-11-07T09:23:22Z"],["dc.date.issued","2013"],["dc.format.extent","S216"],["dc.identifier.isi","000320408400701"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/29559"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Wiley-blackwell"],["dc.publisher.place","Hoboken"],["dc.relation.eventlocation","Berlin, GERMANY"],["dc.relation.issn","0894-1491"],["dc.title","CARCINOMA CELLS MISUSE THE HOST TISSUE DANGER RESPONSE TO INVADE THE BRAIN"],["dc.type","conference_abstract"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","520"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Bioinformatics"],["dc.bibliographiccitation.lastpage","522"],["dc.bibliographiccitation.volume","29"],["dc.contributor.author","Kramer, Frank"],["dc.contributor.author","Bayerlová, Michaela"],["dc.contributor.author","Klemm, Florian"],["dc.contributor.author","Bleckmann, Annalen"],["dc.contributor.author","Beißbarth, Tim"],["dc.date.accessioned","2018-11-07T09:28:07Z"],["dc.date.available","2018-11-07T09:28:07Z"],["dc.date.issued","2013"],["dc.description.abstract","Motivation: Biological pathway data, stored in structured databases, is a useful source of knowledge for a wide range of bioinformatics algorithms and tools. The Biological Pathway Exchange (BioPAX) language has been established as a standard to store and annotate pathway information. However, use of these data within statistical analyses can be tedious. On the other hand, the statistical computing environment R has become the standard for bioinformatics analysis of large-scale genomics data. With this package, we hope to enable R users to work with BioPAX data and make use of the always increasing amount of biological pathway knowledge within data analysis methods. Results: rBiopaxParser is a software package that provides a comprehensive set of functions for parsing, viewing and modifying BioPAX pathway data within R. These functions enable the user to access and modify specific parts of the BioPAX model. Furthermore, it allows to generate and layout regulatory graphs of controlling interactions and to visualize BioPAX pathways."],["dc.identifier.doi","10.1093/bioinformatics/bts710"],["dc.identifier.isi","000315158500022"],["dc.identifier.pmid","23274212"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/30697"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Oxford Univ Press"],["dc.relation.issn","1460-2059"],["dc.relation.issn","1367-4803"],["dc.title","rBiopaxParser-an R package to parse, modify and visualize BioPAX data"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]