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The gene expression profiling of human Glioblastoma multiforme and normal brain tissues

ABSTRACT: We used microarrays to investigate the whole genome gene expression level changes of LncRNAs in human Glioblastoma multiforme (GBM) and normal brain tissues, and try to find out some LncRNA associated with the tumorigenesis of GBM. The human LncRNA microarray analysis of 9 samples (5 GBM and 4 normal brain tissues) were completed. Total RNA from each sample was quantified and RNA integrity was assessed using standard denaturing agarose gel electrophoresis. Total RNA of each sample was used for labeling and array hybridization. Array scanning using the Agilent Scanner G250C. Scanned images were then imported into NimbleScan software (version 2.5) for expression data analysis. Differentially expressed LncRNAs were filtered out for further study.

ORGANISM(S): Homo sapiens

SUBMITTER: Yan Yong

PROVIDER: S-ECPF-GEOD-51146 | biostudies-other |

REPOSITORIES: biostudies-other

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The gene expression profiling of human Glioblastoma multiforme and normal brain tissues

2013-09-26 | GSE51146 | GEO

The gene expression profiling of human Glioblastoma multiforme and normal brain tissues

Project description:We used microarrays to investigate the whole genome gene expression level changes of LncRNAs in human Glioblastoma multiforme (GBM) and normal brain tissues, and try to find out some LncRNA associated with the tumorigenesis of GBM. The human LncRNA microarray analysis of 9 samples (5 GBM and 4 normal brain tissues) were completed. Total RNA from each sample was quantified and RNA integrity was assessed using standard denaturing agarose gel electrophoresis. Total RNA of each sample was used for labeling and array hybridization. Array scanning using the Agilent Scanner G250C. Scanned images were then imported into NimbleScan software (version 2.5) for expression data analysis. Differentially expressed LncRNAs were filtered out for further study.

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Project description:Human brain aging has received special attention in part because of the elevated risks of neurodegenerative disorders such as Alzheimer's disease in seniors. Recent technological advances enable us to investigate whether similar mechanisms underlie aging and neurodegeneration, by quantifying the similarities and differences in their genome-wide gene expression profiles.We have developed a computational method for assessing an individual's "physiological brain age" by comparing global mRNA expression datasets across a range of normal human brain samples. Application of this method to brains samples from select regions in two diseases--Alzheimer's disease (AD, superior frontal gyrus), frontotemporal lobar degeneration (FTLD, in rostral aspect of frontal cortex ?BA10)--showed that while control cohorts exhibited no significant difference between physiological and chronological ages, FTLD and AD exhibited prematurely aged expression profiles.This study establishes a quantitative scale for measuring premature aging in neurodegenerative disease cohorts, and it identifies specific physiological mechanisms common to aging and some forms of neurodegeneration. In addition, accelerated expression profiles associated with AD and FTLD suggest some common mechanisms underlying the risk of developing these diseases.

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Gene expression profiling reveals molecularly and clinically distinct subtypes of glioblastoma multiforme.

Project description:Glioblastoma multiforme (GBM) is the most common form of malignant glioma, characterized by genetic instability, intratumoral histopathological variability, and unpredictable clinical behavior. We investigated global gene expression in surgical samples of brain tumors. Gene expression profiling revealed large differences between normal brain samples and tumor tissues and between GBMs and lower-grade oligodendroglial tumors. Extensive differences in gene expression were found among GBMs, particularly in genes involved in angiogenesis, immune cell infiltration, and extracellular matrix remodeling. We found that the gene expression patterns in paired specimens from the same GBM invariably were more closely related to each other than to any other tumor, even when the paired specimens had strikingly divergent histologies. Survival analyses revealed a set of approximately 70 genes more highly expressed in rapidly progressing tumors that stratified GBMs into two groups that differed by >4-fold in median duration of survival. We further investigated one gene from the group, FABP7, and confirmed its association with survival in two unrelated cohorts totaling 105 patients. Expression of FABP7 enhanced the motility of glioma-derived cells in vitro. Our analyses thus identify and validate a prognostic marker of both biologic and clinical significance and provide a series of putative markers for additional evaluation.

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Project description: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.

| S-ECPF-GEOD-33328 | biostudies-other

MicroRNA profiling of human glioblastoma cell lines and tissue samples identifies microRNAs whose expression is altered in glioblastoma multiforme

Project description:MicroRNAs are short non-coding RNA molecules playing regulatory roles in animals and plants by repressing translation or cleaving RNA transcripts. The specific modulation of several microRNAs has been recently associated to some forms of human cancer, suggesting that these short molecules can represent a new class of genes involved in oncogenesis. In our study, we examined by microarray the global expression levels of 245 microRNAs in glioblastoma multiforme (GBM), the most frequent and malignant of primary brain tumors. The analysis of both glioblastoma tissues and glioblastoma cell lines allowed us to identify a group of microRNAs whose expression is significantly altered in this tumor. The most interesting results came from miR-221, strongly upregulated in glioblastoma and a set of brain-enriched miRNAs, miR-128, miR-181a, miR-181b, miR-181c, which are down-regulated in glioblastoma.

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A DNA microarray survey of gene expression in normal human tissues.

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shRNA profiling of human DZNep-treated glioblastoma multiforme cancer stem cells

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