The transcriptional network for mesenchymal transformation of brain tumours

By J. Uhm. 2010

771 citations recorded by the source corpus.

Subfields: Genetics, Molecular Biology, Oncology

View Paper: https://www.semanticscholar.org/paper/6970146fba88a9bc6f9734ea56f6a9eb7807f624

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Citations in the corpus

Mesenchymal Differentiation Mediated by NF-κB Promotes Radiation Resistance in Glioblastoma (2013, background): “TNF-a-induced phosphorylation of p65 preceded the induction of YKL40, STAT3, C/EBPb, and TAZ, an effect that was negated by pretreatment with IkB-SR, indicating that the master TFs act downstream of the NF-kB pathway (Figures 6E and S6B).”
Mesenchymal glioma stem cells are maintained by activated glycolytic metabolism involving aldehyde dehydrogenase 1A3 (2013, background): “A recent study demonstrated that the mesenchymal phenotype is a hallmark of tumor aggressiveness in brain tumors (16).”
A community computational challenge to predict the activity of pairs of compounds (2014, background): “This shows that synergy and antagonism are highly context specific and are thus not universal properties of the compounds’ chemical, structural or substrate information.”
Protein Networks as Logic Functions in Development and Cancer (2011, background): “STAT3 is a known oncogene recently identified as a driver of mesenchymal transformation in brain tumors [14], while SS18L1 is a protein normally required for calciumdependent dendritic growth and branching in cortical neurons [47].”
Selective Inhibition of Tumor Oncogenes by Disruption of Super-Enhancers (2013, background): “…were associated with genes encoding three transcription factors (RUNX1, FOSL2, and BHLHE40) critical for mesenchymal transformation of brain tumors (Carro et al., 2010); the super-enhancers associated with BHLHE40 are shown in Figure 7C. BCL3, which associates with NF-kB and is deregulated in many…”
Pathway and Network Analysis of Cancer Genomes (2015, positive): “ARACNe applies mutual information to discover regulatory networks of transcription factors and target genes 59 , while MARINa interrogates these networks to identify master regulators 19,20 .”
Cancer as a metabolic disease (2010, background): “Recent studies suggest that ectopic co-expression of only two genes might be all that is necessary to facilitate EMT in some gliomas [197].”
An Integrated Approach to Uncover Drivers of Cancer (2010, background): “Statistical dependencies in gene expression have been used to connect a regulator to its target (Friedman et al., 2000; Lee et al., 2006; Segal et al., 2003) and for uncovering important regulators in cancer (Adler et al., 2006; Carro et al., 2010; Wang et al., 2009a).”
Mesenchymal Transition and PDGFRA Amplification/Mutation Are Key Distinct Oncogenic Events in Pediatric Diffuse Intrinsic Pontine Gliomas (2012, methodology): “The transcriptional module driving the mesenchymal gene expression signature in adult glioblastoma [25] was also specifically overexpressed in this group compared to the proneural group.”
The integrated landscape of driver genomic alterations in glioblastoma (2013, methodology): “Immunofluorescence staining on normal mouse and human brain and brain tumor tissue microarrays were performed as previously described 43,61,62 .”