Project description:To reveal the HNRNPAB-regulated lncRNAs, we performed microarray analyses to screen differential lncRNAs in HCC cells after stable overexpression or knockdown of HNRNPAB. MHCC97H and HCCLM3 (HCC cell lines with high-metastatic potentials), PLC/PRF/5 and HepG2 (HCC cell lines with low-metastatic potentials) were used in this study. HepG2-control, HepG2-hnRNPAB, PLC/PRF/5-control, PLC/PRF/5-hnRNPAB, MHCC97H-control, MHCC97H-sh-hnRNPAB, HCCLM3-control, HCCLM3-sh-hnRNPAB were perpared with hU6-MCS-CBh-gcGFP-IRES-puromycin-shRNA-HNRNPAB/mock lentiviral and Ubi-MCS-SV40-EGFP-IRES-puromycin-HNRNPAB/mock cDNA lentiviral,respectively, each performed in triplicate.
Project description:We conducted this experiment in order to investigate the different expression level of lncRNAs involved in HCC patients and the control samples. In addition, we detected the expression of lncRNA via the lncRNA microrray in the patients who undertaken the tumor resection
Project description:38 paires of tumor tissues and adjacent non-tumor tissues from HCC patients The number of known lncRNAs increased sharply upon the tiling microarrays and RNA-sequencing were applied to identify lncRNAs. However, only about a dozen of lncRNAs have been well characterized and demonstrated to be tightly associated with development and progression of HCC. A major challenge remains to identify functional lncRNAs associated with HCC. Previous reports mainly selected differentially expressed lncRNAs in cancer tissue or cell lines as candidates for further validation and characterizing. Here, based on mRNA and lncRNA gene expression profiles data collected from tumor and adjacent normal tissues of thirty-eight HCC patients, we adapted integrative omics strategy to identify HCC-associated lncRNAs.
Project description:DNA copy number profiling for all primary tumor samples and HCC cell lines was performed by ROMA, a form of comparative genomic hybridization. The aim was to identify commonly amplifiied and deleted regions across human HCC. 88 primary HCC samples and 12 human HCC cell lines were analyzed.
Project description:p53 suppresses tumor progression and metastasis by regulating a large set of genes and microRNAs. By profiling 92 primary hepatocellular carcinomas (HCCs) and 9 HCC cell lines, we found that p53 upregulates microRNAs including miR-200 and miR-192 family members. By sequencing TP53 in 92 HCC samples, we classified the 92 samples into two groups (wt and mut). We also classified 9 HCC cell lines by testing p21 expression after DNA-damage mediated p53 activation. We then profiled microRNA expression in 92 HCC tissue samples and 9 HCC celll lines to identify p53-regulated microRNAs.
Project description:Hep3B and Huh7 are two types of human hepatoma cell lines (HCC). In our laboratory, we cultured their stem-like cancer cells (HCSCs), Hep3B-C and Huh7-C. And we have demonstrated that these cells had enhanced stem cell properties, drug resistance, properties of EMT, and stronger tumor-initiating capabilities. To explore functionally crucial miRNAs in HCSCs, 2 samples of HCSCs and 2 samples of HCCs were sequenced by the Illumina Genome Analyzer II. Through differential expression analysis, we finally identified 9 up- and 9 down-regulated miRNAs which were consistently up- and down-regulated in two stem cells compared to the cancer cells. Expression analysis using total RNAs extracted from 2 HCSC cell lines (Hep3B-C and Huh7-C), and 2 HCC cell lines (Hep3B and Huh7).
Project description:Hep3B and Huh7 are two types of human hepatoma cell lines (HCC). In our laboratory, we cultured their stem-like cancer cells (HCSCs), Hep3B-C and Huh7-C. And we have demonstrated that these cells had enhanced stem cell properties, drug resistance, properties of EMT, and stronger tumor-initiating capabilities. To explore functionally crucial mRNAs in HCSCs, 2 samples of HCSCs and 2 samples of HCCs were sequenced by the Illumina Genome Analyzer II. Through differential expression analysis, we finally identified 115 up- and 402 down-regulated miRNAs which were consistently up- and down-regulated in two stem cells compared to the cancer cells. Expression analysis using total RNAs extracted from 2 HCSC cell lines (Hep3B-C and Huh7-C), and 2 HCC cell lines (Hep3B and Huh7).
Project description:DNA copy number profiling for all primary tumor samples and HCC cell lines was performed by ROMA, a form of comparative genomic hybridization. The aim was to identify commonly amplifiied and deleted regions across human HCC.
Project description:There are concerns about whether cancer cell lines could faithfully represent the matched primary cancer cells. Comparison of the HCC cell lines and primary HCCs demonstrated that, during long-term in vitro culture, cell lines retain the genetic landscape of the matched primary HCCs.
Project description:Long noncoding RNAs (lncRNAs) are a class of non-coding RNAs longer than 200 nt that function in endogenous gene regulation and tumorigenesis. Hepatocellular carcinoma (HCC) is a heterogeneous disease with different treatment outcome. It is a challenge to develop a prognostic marker to identify HCC patients who are at greatest risk for recurrence or death. In this study, we try to screen lncRNAs whose expression levels are associated with recurrence or death of HCC patients through an extensive lncRNA profiling study on a cohort of 59 HCC patients. For these experiments, we used RNA extracted from 59 HCC tissues and 20 normal livers. Total RNAs from the 20 normal livers were pooled and used as a reference for all microarray experiments. For each microarray experiment, Cy5-labeled probes derived from the DNase-treated total RNA from each HCC sample was hybridized against Cy3-labeled probes derived from common reference on Arraystar Human LncRNA Microarray (Arraystar, Rockville, USA). LncRNAs whose expression was significantly associated with disease-specific survival and time to recurrence were selected based on microarray data. The univariate Cox proportional hazards model was used to assess the association of lncRNAs with survival. We computed a statistical significance level (P value) for two endpointsM-bM-^@M-^Tthe time to cancer-related death and time to recurrence, based on univariate Cox proportional hazards models in BRB-ArrayTools version 4.2.0.