← BioTransfer GEO Dataset Finder
GEO series

A transcriptional module initiates and maintains mesenchymal transformation in brain tumors [human data]

GSE19114 Homo sapiens Expression profiling by array 74 samples Submitted 2010/02/12 Platform GPL6947
Summary
Using a novel combination of cellular-network reverse-engineering algorithms and experimental validation assays, we identified a transcriptional module, including six transcription factors that synergistically regulates the mesenchymal signature of malignant glioma. This is a poorly understood molecular phenotype, never observed in normal neural tissue. It represents the hallmark of tumor aggressiveness in high-grade glioma, and its upstream regulation is so far unknown. Overall, the newly discovered transcriptional module regulates >74% of the signature genes, while two of its transcription factors (C/EBPβ and Stat3) display features of initiators and master regulators of mesenchymal transformation. Ectopic co-expression of C/EBPβ and Stat3 is sufficient to reprogram neural stem cells along the aberrant mesenchymal lineage, while simultaneously suppressing differentiation along the default neural lineages (neuronal and glial). Conversely, silencing the two transcription factors in human glioma cell lines and glioblastoma-derived tumor initiating cells leads to collapse of the mesenchymal signature with corresponding loss of tumor aggressiveness in vitro and in immunodeficient mice after intracranial injection. In human tumor samples, combined expression of C/EBPβ and Stat3 correlates with mesenchymal differentiation of primary glioma and is a predictor of poor clinical outcome. Taken together, these results reveal that activation of a small regulatory module – inferred from the accurate reconstruction of transcriptional networks – is necessary and sufficient to initiate and maintain an aberrant phenotypic state in eukaryotic cells.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE19114_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 74 samples.

Also filed as BioProject PRJNA129055. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 74 more — browse all 74 samples with per-sample file links →

Similar datasets

Search all human microarray datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.