Researchers at Karolinska Institutet have identified 10 tumour-specific potential drug targets for the brain tumour glioblastoma. The results are presented in the scientific journal Cell Reports. “We have found disease-related changes in the cells that line the tumour blood vessels, ...
Read More »Comparing RNA-Seq Results from Paired FFPE & Fresh-Frozen Samples
The molecular classification of glioblastoma (GBM) based on gene expression might better explain outcome and response to treatment than clinical factors. Whole transcriptome sequencing using next-generation sequencing platforms is rapidly becoming accepted as a tool for measuring gene expression for ...
Read More »Identification of therapeutic targets for glioblastoma by network analysis
Glioblastoma can originate from terminally differentiated astrocytes and neurons, which can dedifferentiate to a stem cell-like state upon transformation. In this study, researchers at UCSD confirmed that transformed dedifferentiated astrocytes and neurons acquired a stem/progenitor cell state, although they still ...
Read More »Hypoxic signature of microRNAs in glioblastoma: insights from small RNA deep sequencing
Hypoxia is a critical aspect of the glioma microenvironment and has been associated with poor prognosis and resistance to various therapies. However, the mechanisms responsible for hypoxic survival of glioma cells remain unclear. Recent studies strongly suggest that microRNAs act ...
Read More »CFIm25 links alternative polyadenylation to glioblastoma tumour suppression
The global shortening of messenger RNAs through alternative polyadenylation (APA) that occurs during enhanced cellular proliferation represents an important, yet poorly understood mechanism of regulated gene expression. The 3′ untranslated region (UTR) truncation of growth-promoting mRNA transcripts that relieves intrinsic ...
Read More »PRADA: Pipeline for RNA sequencing Data Analysis
Technological advances in high throughput sequencing necessitate improved computational tools for processing and analyzing large-scale datasets in a systematic, automated manner. For that purpose, researchers at the MD Anderson Cancer Center have developed PRADA (Pipeline for RNA-Sequencing Data Analysis), a ...
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