Differential expression of microRNAs as predictors of glioblastoma phenotypes

Glioblastoma is the most aggressive primary central nervous tumor and carries a very poor prognosis. Invasion precludes effective treatment and virtually assures tumor recurrence. In the current study, we applied analytical and bioinformatics approaches to identify a set of microRNAs (miRs) from sev...

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Veröffentlicht in:	BMC bioinformatics 2014-01, Vol.15 (1), p.21-21, Article 21
Hauptverfasser:	Bradley, Barrie S, Loftus, Joseph C, Mielke, Clinton J, Dinu, Valentin
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analysis Apoptosis - genetics Bioinformatics Cell Line, Tumor Cell Movement - genetics Computational Biology - methods Data processing Epigenetic inheritance Gene expression Gene Expression Profiling Gene Expression Regulation, Neoplastic - genetics Genetic aspects Glioblastoma - genetics Glioblastoma - metabolism Humans Medical prognosis Medical research Medicine, Experimental MicroRNA MicroRNAs MicroRNAs - genetics MicroRNAs - metabolism Migration Neoplasm Invasiveness - genetics Phenotype Physiological aspects Studies Tumors Volcanoes
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