Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA214800 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Investigation of whole genome gene expression level changes of LncRNAs in tumor tissues and paired non-tumor tissues in HBV-positive hapatocellular carcinoma. The different expression genes were further analysised.
2013-08-10 | GSE49713 | GEO
Project description:Investigation of whole genome gene expression level changes of LncRNAs in tumor tissues and paired non-tumor tissues in HBV-positive hapatocellular carcinoma. The different expression genes were further analysised. The human LncRNA microarray analysis of the 10 samples (5 non-tumor tissues and 5 paired tumor tissues) were completed. Total RNA from each sample was quantified using the NanoDrop ND-1000 and RNA integrity was assessed using standard denaturing agarose gel electrophoresis. Total RNA of each sample was used for labeling and array hybridization as the following steps: 1) Reverse transcription with by Invitrogen Superscript ds-cDNA synthesis kit; 2) ds-cDNA labeling with NimbleGen one-color DNA labeling kit; 3) Array hybridization using the NimbleGen Hybridization System and followed by washing with the NimbleGen wash buffer kit; 4) Array scanning using the Agilent Scanner G2505C. Scanned images (TIFF format) were then imported into NimbleScan software (version 2.5) for grid alignment and expression data analysis. Expression data were normalized through quantile normalization and the Robust Multichip Average (RMA) algorithm included in the NimbleScan software. The Probe level (*_norm_RMA.pair) files and mRNA level (*_RMA.calls) files were generated after normalization. All mRNAs level files were imported into Agilent GeneSpring GX software (version 11.5.1) for further analysis.mRNAs that at least 3 out of 6 samples have values greater than or equal to lower cut-off: 50.0 (“All Targets Value”) were chosen for further data analysis. Differentially expressed mRNAs were identified through Volcano Plot filtering. Pathway analysis and GO analysis were applied to determine the roles of these differentially expressed mRNAs played in these biological pathways or GO terms. Finally, Hierarchical Clustering was performed to show the distinguishable mRNAs expression pattern among samples.
2013-08-10 | E-GEOD-49713 | biostudies-arrayexpress
Project description:miRNA played an important role in the process of carcinogenesis in HBV related hepatocellular carcinoma. Therefore, we performed miRNA microarray to evaluate the miRNAs that expressed differentially between HCC tumor versus non-tumor liver tissues. RNA was extracted from snap fresh tissue collected from resected HCC tumor and adjacent non-tumor liver tissues. All HCC tumors were HBV-associated HCC.
2015-07-22 | E-GEOD-69580 | biostudies-arrayexpress
Project description:The gene expression profiling array of mRNAs and LncRNA between portal vein tumor thrombus tissues and paired tumor tissues in hapatocellular carcinoma
| PRJNA186865 | ENA
Project description:MicroRNAs (miRNAs) exhibit essential regulatory functions related to cell growth, apoptosis, development and differentiation. Dysregulated expression of miRNAs is associated with a wide variety of human diseases. As such miRNA signatures are valuable as biomarkers for disease and for making treatment decisions. Hepatitis B virus (HBV) is a major risk factor for hepatocellular carcinoma (HCC). Here we screened for miRNAs in chronic HBV associated HCC. To evaluate the effect of HBV infection on the change in expression of miRNAs, 12 pairs of samples from HCC and non-tumor tissues (including 6 HBV-positive HCC and 6 HBV-negative HCC and their non-tumor tissues) were collected. The extracted RNAs were evaluated to detect the expression of miRNAs. Using ANOVA to screen the differential expression of miRNAs at P-value ⤠0.01, fold change ⥠2 or ⤠0.5, 225 miRNAs were detected.
2016-06-30 | E-MTAB-4809 | biostudies-arrayexpress
Project description:miRNA played an important role in the process of carcinogenesis in HBV related hepatocellular carcinoma. Therefore, we performed miRNA microarray to evaluate the miRNAs that expressed differentially between HCC tumor versus non-tumor liver tissues.
2015-07-22 | GSE69580 | GEO
Project description:The expression of long non-coding RNAs - lncRNAs - was profiled in the ER/PR-positive invasive ductal carcinoma of the breast (Ma-T) and in normal breast tissues using the Invitrogen NCode Human lncRNA Array Platform. published in: Maria Polycarpou-Schwarz et al., Oncogene 2018
2018-05-01 | GSE113851 | GEO
Project description:Purpose: To gain molecular insights of HBV integration that may contribute to HCC tumorigenesis, we performed whole transcriptome sequencing and whole genome copy number profiling of hepatocellular carcinoma (HCC) samples from 50 Chinese patients. Conclusions: This is the first report on the molecular basis of the MLL4 integration driving MLL4 over-expression. HBV-MLL4 integration occurred frequently in Chinese HCC patients, representing a unique molecular segment for HCC with HBV infection. We profiled 50 Chinese Hepatocellular Carcinoma patients and 14 adjacent tissues using Agilent 244K array CGH technology. 50 Tumor samples also did RNASeq profiling.
2015-03-30 | E-GEOD-65484 | biostudies-arrayexpress
Project description:Hepatocellular carcinoma tissues: tumor tissues vs. non-tumor tissues
| PRJNA350558 | ENA
Project description:Although many protein-coding genes have been identified to be aberrantly expressed in hepatocellular carcinoma (HCC), the mechanisms that account for development and progression of HCC remain unclear. In recent years, long noncoding RNAs (lncRNAs) have been shown to have critical regulatory roles in mammalian cell biology. Many lncRNAs can result in aberrant expression of gene products that may contribute to cancer biology. In this study, we first identified non-overlapping signatures of a small number of lncRNAs that are aberrantly expressed in human HCC compared with paired peritumoral tissues. Then we used real-time PCR to validate five lncRNAs whose expression was altered in HCC compared with paired peritumoral tissues. Using loss-of-function and gain-of-function approaches, we found that an lncRNA (termed lncRNA-HEIH) plays a key role in cell cycle regulation. We further demonstrated that lncRNA-HEIH bound to enhancer of zeste homolog 2 (EZH2) and that this interaction was required for the repression of EZH2 target genes. Together, these results reveal insights into the molecular regulation mechanisms of HCC cell cycle regulation and lead us to propose that lncRNAs may serve as key regulatory hubs in cancer biology. A ten chip study using total RNA recovered from five separate HCC tissues and five corresponding paired non-tumor samples.
2011-09-04 | E-GEOD-27462 | biostudies-arrayexpress