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Transcriptomic profiling of a glioblastoma multiforme patient with matched control brain tissue

ABSTRACT: To investigate differential gene expression, we analyzed the entire transcriptomes of tumor and matched normal brain tissues obtained from a patient who had glioblastoma multiforme. We extracted and sequenced the mRNA using Illumina GA2 platform. The raw data was analyzed using our recently developed program called RNASEQR, as well as ERANGE, MapSplice, SpliceMap, and TopHat. Tumor and matched control brain tissues were obtained from a Han-Chinese patient.

ORGANISM(S): Homo sapiens

SUBMITTER: Leslie Chen

PROVIDER: E-GEOD-33328 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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RNASEQR--a streamlined and accurate RNA-seq sequence analysis program.

Chen Leslie Y LY Wei Kuo-Chen KC Huang Abner C-Y AC Wang Kai K Huang Chiung-Yin CY Yi Danielle D Tang Chuan Yi CY Galas David J DJ Hood Leroy E LE

Nucleic acids research 20111222 6

Next-generation sequencing (NGS) technologies-based transcriptomic profiling method often called RNA-seq has been widely used to study global gene expression, alternative exon usage, new exon discovery, novel transcriptional isoforms and genomic sequence variations. However, this technique also poses many biological and informatics challenges to extracting meaningful biological information. The RNA-seq data analysis is built on the foundation of high quality initial genome localization and align ...[more]

PMID: 22199257

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