Project description:To identify ceRNA network associated with GBM, a hybridization-based microarray assay was used to analyze three paired GBM tissues with lower expression of miR-422a.
Project description:We have developed a nonheuristic genome topography scan (GTS) algorithm to characterize the patterns of genomic alterations in human glioblastoma (GBM), identifying frequent p18INK4C and p16INK4A codeletion. Functional reconstitution of p18INK4C in GBM cells null for both p16INK4A and p18INK4C resulted in impaired cell-cycle progression and tumorigenic potential. Conversely, RNAi-mediated depletion of p18INK4C in p16INK4A-deficient primary astrocytes or established GBM cells enhanced tumorigenicity in vitro and in vivo. Furthermore, acute suppression of p16INK4A in primary astrocytes induced a concomitant increase in p18INK4C. Together, these findings uncover a feedback regulatory circuit in the astrocytic lineage and demonstrate a bona fide tumor suppressor role for p18INK4C in human GBM wherein it functions cooperatively with other INK4 family members to constrain inappropriate proliferation. Keywords: comparative genomic hybridization DNA copy number abberation of human glioblastoma tumors were obtained by comparative genomic hybridization of GBM tumor vs. normal human DNA. 11 human GBM samples were analyzed on Agilent human 244A human cgh array (G4411B). Normal Human DNA was used as reference. Some samples were hybridized with dye-swap replica.
Project description:Although multi-omics studies of glioblastoma (GBM) have improved understanding of its biology nature and accelerated targeted therapy, data for paired adjacent normal tissues (NAT) remains limited. Here, we report proteomes from 3 paired of tumor tissues and NATs of glioblastoma (GBM) patients using liquid chromatography with tandem mass spectrometry (LC-MS/MS)-based label-free quantification. This dataset provides a resource of paired GBM and normal tissues to identify novel tumor-specific oncogenes or tumor-suppressor genes.
Project description:Although multi-omics studies of glioblastoma (GBM) have improved understanding of its biology nature and accelerated targeted therapy, data for paired adjacent normal tissues remains limited. Here, we report transcriptomes from 2 paired and 1 non-paired tumor and adjacent normal tissues (NAT) of glioblastoma (GBM) patients sequenced using Illumina Novaseq platform, and 150 bp paired-end reads were generated. This dataset provides a resource of paired GBM and normal tissues to identify novel tumor-specific oncogenes or tumor-suppressor genes.
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.
Project description:We have developed a nonheuristic genome topography scan (GTS) algorithm to characterize the patterns of genomic alterations in human glioblastoma (GBM), identifying frequent p18INK4C and p16INK4A codeletion. Functional reconstitution of p18INK4C in GBM cells null for both p16INK4A and p18INK4C resulted in impaired cell-cycle progression and tumorigenic potential. Conversely, RNAi-mediated depletion of p18INK4C in p16INK4A-deficient primary astrocytes or established GBM cells enhanced tumorigenicity in vitro and in vivo. Furthermore, acute suppression of p16INK4A in primary astrocytes induced a concomitant increase in p18INK4C. Together, these findings uncover a feedback regulatory circuit in the astrocytic lineage and demonstrate a bona fide tumor suppressor role for p18INK4C in human GBM wherein it functions cooperatively with other INK4 family members to constrain inappropriate proliferation. Keywords: comparative genomic hybridization
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.
Project description:Glioblastoma (GBM) is the most common and lethal primary malignancy of the central nervous system in adult. In order to improve the diagnosis, prevention and treatment of GBM, the details of molecular mechanisms underlying the tumorigenesis and development needs to be clarified. This is a nalysis of glioblastoma tissues and matched adjacent normal brain tissues from 3 patients. Results provide insight into molecular mechanisms underlying the non-coding and coding genes interactions in glioblastoma. 3 human GBM tissues and the matched adjacent normal brain tissues were analyzed using microarray. The aberrant lncRNAs, miRNAs and mRNAs between the 2 groups were detected.
Project description:Glioblastoma is the most aggressive and lethal malignant brain tumor. miRNA expression profiling could be useful in improving the classification of tumors and predicting their behavior. In this study, the miRNA expression patterns in glioblastoma tumor tissues and adjacent normal tissues were identified through expression profiling of a patient with glioblastoma. The results will hopefully enhance our understandings of the epigentic changes in glioblastoma progression and provide candidates for miRNAs-based targeting tharapy.
Project description:Glioblastoma is the most aggressive and lethal malignant brain tumor. miRNA expression profiling could be useful in improving the classification of tumors and predicting their behavior. In this study, the miRNA expression patterns in glioblastoma tumor tissues and adjacent normal tissues were identified through expression profiling of a patient with glioblastoma. The results will hopefully enhance our understandings of the epigentic changes in glioblastoma progression and provide candidates for miRNAs-based targeting tharapy. A paired miRNAs tumor tissues and adjacent tissues of a glioblastoma patient was used in this study. miRNAs were isolated using miRNeasy FFPE Kit (Qiagen). Profiling was established by applying the Agilent human miRNA Microarray (8 M-CM-^W 60K, v16.0) (Agilent Technologies).