Project description:MicroRNAs is a rapidly expanding area expected to change the way in which diseases will be diagnosed, treated and monitored in the future. Hepatocellular carcinoma (HCC) shows a rising incidence with high mortality but lack of effective targeted therapies. We identified the aberrantly expressed miRNAs involved in HCC through the comparison of miRNA expression profiling in cancerous hepatocytes with that in normal primary human hepatocytes and found 37 dysregulated miRNAs in HCC. These aberrantly expressed miRNAs may provide insights into pathogenesis of HCC and thus may be used for diagnosis and therapy. Over the past few years, though several studies have uncovered aberrant miRNA expression profiles in HCC compared with matched nonmalignant tissues, the overlap of deregulated miRNAs from different platforms is limited. To solve this problem, we recommend a method that using primary cancer cells or cancer cell lines and nonmalignant primary cells to identify the specific aberrantly miRNA expression profiles in HCC and even in other types of cancer. Here, we identified the aberrantly expressed miRNAs involved in hepatoma through the comparison of miRNA expression profiling in cancerous hepatocytes with that in normal primary human hepatocytes and 37 dysregulated miRNAs were screened out by 2-fold change with a significant difference (P<0.05). Clustering analysis based on 13 miRNAs whose fold changes were over 15-fold change exhibited significantly differential expression pattern between the cancerous and normal hepatocytes.
Project description:MicroRNA expression pattern in 20 pairs of primary lung cancers and their corresponding non cancerous lung tissues. These specimens were obtained from the Nice Hospital Tumor Bio Bank, France. Dye swap-experiment comparing cancerous tissue versus adjacent normal lung tissue.
Project description:MicroRNAs is a rapidly expanding area expected to change the way in which diseases will be diagnosed, treated and monitored in the future. Hepatocellular carcinoma (HCC) shows a rising incidence with high mortality but lack of effective targeted therapies. We identified the aberrantly expressed miRNAs involved in HCC through the comparison of miRNA expression profiling in cancerous hepatocytes with that in normal primary human hepatocytes and found 37 dysregulated miRNAs in HCC. There were 9 up-regulated miRNAs and 28 down-regulated miRNAs in HCC, of which, miR-221 and miR-99b were the most overexpressed miRNAs, while miR-375, miR-192, miR-146b-5p, miR-885-5p, miR-122* and miR-122 were noted for their greatest changes of decreased expression. These aberrantly expressed miRNAs may provide insights into pathogenesis of HCC and thus may be used for diagnosis and therapy.
Project description:Genome-wide expression profiling has been performed in malignant HepG2 cells and compared to the expression in normal human hepatocytes. 56 ucRNAs, representing 11% of all ucRNAs analyzed, were aberrantly and significantly (p<0.05) expressed in malignant HepG2 cells compared to non-malignant human hepatocytes.
Project description:Gene expression analysis in 13 pairs of primary lung cancers and their corresponding non cancerous lung tissues. These specimens were obtained from the Nice Hospital Tumor Bio Bank, France. Dye swap-experiment comparing cancerous tissue versus adjacent normal lung tissue.
Project description:In order to identify aberrantly expressed microRNAs in oral squamous cell carcinomas (OSCCs), we have employed microRNA microarray profile using healthy tongue samples as control. All seventeen human OSCCs and three normal tongue tissues were collected from the Tissue Bank at the Moffitt Cancer Center and approved by the University of Florida institutional review board. Majority (15 out of 17) of the OSCCs were derived from tongue cancers. The tumor samples contained greater than 80% of cancerous cells, confirmed by microscopic examination by a head and neck pathologist. The normal tongues were taken from a non-cancerous region. Tissues were snap-frozen and stored at -80M-BM-0C until further use. Total RNAs were isolated from human tissues using mirVana miRNA Isolation kit (Ambion/Applied Biosystems, Austin, TX) according to the manufacturerM-bM-^@M-^Ys instruction. NanoDropM-BM-. ND-100 spectrophotometer (Thermo Scientific, Wilmington, DE) was used to quantify the isolated RNA. The Agilent 2100 Bioanalyzer from the Interdisciplinary Center for Biotechnology Research at the University of Florida was used to detect the size distribution of total RNA and to determine the quality as well. Expression of microRNAs from this signature was quantified in the same RNA samples by real-time PCR, confirming the expression pattern. Human tissues of oral squamous cell carcinoma and healthy normal tongues were used for microRNA microarray profile to identify aberrantly expressed microRNAs in oral squamous cell carcinomas.
Project description:Emerging evidences indicate that microRNAs (miRNAs) are often deregulated and have fundamental roles in hepatocellular carcinoma (HCC). However, the mechanism underlying miRNA dysregulation in HCC is still elusive. In this report, we used an integrated analysis strategy combining methylated DNA immunoprecipitation chip (MeDIP-chip) and miRNA expression microarray data to study the correlation between aberrant methylation and dysregulation of miRNA in HCC. In all, we showed that global miRNA methylation profiles were significantly different between cancerous and normal hepatocytes, and abnormal methylation was an important mechanism governing miRNA expression in HCC. MeDIP-chip was processed in cancerous hepatocytes SK-HEP-1, HepG2, MHCC97-H and normal hepatocytes PHHC-4-1, PHHC-4-2, PHHC-4-3 (3 technical repeat of PHHC-4). MiRNA microarray were processed for cancerous hepatocytes SK-HEP-1, HepG2, Hep3B, Huh7, MHCC97-H, MHCC97-L, SMMC-7721 and normal hepatocytes PHHC-1, PHHC-2, PHHC-3. Then an integrated analysis strategy combining MeDIP-chip and miRNA expression microarray [GSE20077] were used to study the correlation of aberrant DNA methylation and dysregulation of miRNAs.