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: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: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:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of Papillary Thyroid Cancer tissue sample and adjacent normal tissue. The goals of this study are to analysis the different circRNAs expression between Cancer tissue sample and adjacent normal tissue. Quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis. We performed circRNA-seq in Papillary Thyroid Cancer tissue sample and adjacent normal tissue. We found that through the deep sequencing of four pairs PTC and adjacent nontumor tissues, we identified 16569 circRNAs, 720 circRNAs were differentials expressed, among them, 301 upregulated and 419 downregulated.
Project description:In order to understand the role of long noncoding RNAs (lncRNAs) and their interaction with coding RNAs in esophageal sqaumous cell cancer (ESCC), we performed genome-wide screening of the expression of lncRNAs and coding RNAs from primary ESCC tissue and adjacent normal tissue using Agilent SurePrint G3 Human GE 8x60K Microarray. By comparing ESCC tissues and matched normal tissues, differentially expressed lncRNAs and coding RNAs were identified and confirmed with PCR and other independent studies. We further identified a subset of co-located and co-expressed lncRNAs and coding RNAs using bioinformatic tools and the analysis suggested that a subset of lncRNAs may influence nearby genes involved in the genesis of ESCC. Four pairs of ESCC primary tumors and adjacent normal tissues were used for genome-scale microarray experiments, which included long noncoding RNAs and coding RNAs. Selected lncRNAs expressed in the experiment were validated on independent matched-pair samples with PCR method.
Project description:Circulating transcriptional landscapes between breast cancer tissues and adjacent normal tissues were compared using the Affymetrix Human OE LncRNA Microarray with probes for profiling of 63542 human lncRNAs. Goal was to investigate potential lncRNAs involved in breast cancer progression.
Project description:Through the translatome sequencing (Ribo-seq) of clinically obtained papillary thyroid carcinoma and its paired adjacent tissues, we tried to find the differences in the translation of various genes and evaluate the translation function of circular RNAs in the two tissues. We then performed gene expression profiling analysis using data obtained from Ribo-seq of 4 different pairs of Papillary Thyroid Carcinoma tissue sample and adjacent normal tissue. At the translatome level, we screened out 247 circRNAs with translation ability.
Project description:Cross-talk between competitive endogenous RNAs (ceRNAs) may play a critical role in revealing potential mechanisms of tumor development and physiology. Glioblastoma is the most common type of malignant primary brain tumor, and the mechanisms of tumor genesis and development in glioblastoma are unclear. Here, to investigate the role of non-coding RNAs and the ceRNA network in glioblastoma, we performed paired-end RNA sequencing and microarray analyses to obtain the expression profiles of mRNAs, lncRNAs circRNAs and miRNAs. We identified that the expression of 501 lncRNAs, 1789 mRNAs, 2038 circRNAs and 143 miRNAs were often altered between glioblastoma and matched normal brain tissue. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed on these differentially expressed mRNAs and miRNA-mediated target genes of lncRNAs and circRNAs. Furthermore, we used a multi-step computational framework and several bioinformatics methods to construct a ceRNA network combining mRNAs, miRNAs, lncRNAs and circRNA, based on co-expression analysis between the differentially expressed RNAs. We identified that plenty of lncRNAs, CircRNAs and their downstream target genes in the ceRNA network are related to glutamatergic synapse, suggesting that glutamate metabolism is involved in glioma biological functions. Our results will accelerate the understanding of tumorigenesis, cancer progression and even therapeutic targeting in glioblastoma. We hope to inspire researchers to study the role of non-coding RNAs in glioblastoma.