Pseudogene INTS6P1 regulates its cognate gene INTS6 through competitive binding of miR-17-5p in hepatocellular carcinoma [mRNA, lncRNA]
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ABSTRACT: To identify the novel tumor suppressors in hepatocellular carcinoma (HCC), we have employed whole genome microarray expression profiling as a discovery platform in HCC and paired normal liver tissues to identify genes which down-regulated in HCC. Among which, INTS6 and its pseudogene, namely INTS6P1, were found to be dramatically down-regulated in HCC. The down-regulated expression of INTS6 and INTS6P1 in HCC was further confirmed by real-time PCR. RNA was extracted from 3 pairs of HCC and normal liver tissue harvested from patients to undergo microarray study.
Project description:We describe the lncRNA expression profiles of two HCC cell lines, one with high potential for metastasis to the lung (HCCLM3) and the other to lymph nodes (HCCLYM-H2). The HCCLM3(LM3) and HCCLM6 cell lines were derived from the same parental cell line MHCC-97H. LM3 metastasizes to the lung, while HCCLM6 can metastasize to multiple organs in a mouse model. By subcloning HCCLM6, we established the HCCLYM-H2(H2) cell line, which showed stable and high metastatic potential specific to the lymph nodes. In the present study, we compared the expression profiles of HCC cell lines with a similar genetic background but different potential for lung or lymph node metastasis. We found that expression signatures comprising lncRNAs and protein-coding mRNAs were significantly associated with organ-specific HCC metastasis. To further validate microarray data, we selected six lncRNAs (CR613944, BC058547, RP5-1014O16.1, NCRNA00173, lincRNA-CALCA, lincRNA-TSPAN8) and two mRNAs (TSPAN8, CALCB) in the two HCC cell lines using qRT-PCR. Data obtained from qRT-PCR and the microarray was consistent. Differentially expressed lncRNAs between high lymphatic metastatic potential HCC cell H2 and high lung metastatic potiential HCC cell LM3 were identified by microarray and validated using quantitative real-time polymerase chain reaction.
Project description:To identify the novel tumor suppressors in hepatocellular carcinoma (HCC), we have employed whole genome microarray expression profiling as a discovery platform in HCC and paired normal liver tissues to identify genes which down-regulated in HCC. Among which, INTS6 and its pseudogene, namely INTS6P1, were found to be dramatically down-regulated in HCC. The down-regulated expression of INTS6 and INTS6P1 in HCC was further confirmed by real-time PCR. RNA was extracted from 3 pairs of HCC and normal liver tissue harvested from patients to undergo microarray study.
Project description:To identify the novel tumor suppressors in hepatocellular carcinoma (HCC), we have employed whole genome microarray expression profiling as a discovery platform in HCC and paired normal liver tissues to identify genes which down-regulated in HCC. Among which, INTS6 and its pseudogene, namely INTS6P1, were found to be dramatically down-regulated in HCC. The down-regulated expression of INTS6 and INTS6P1 in HCC was further confirmed by real-time PCR.
Project description:In order to assess the alteration in lncRNA expression in rat lung carcinogenesis induced by NNK, we determined the lncRNA expression profiles in 3 rat lung tumor samples and matched normal lung tissues and 2 blood samples from the control and NNK treatment group in the 95th week using Arraystar Rat lncRNA Microarray. We induced lung cancer using 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) in a rat model and determined the lncRNA expression profiles in lung cancer tissues and rat blood samples.
Project description:To identify the novel tumor suppressors in hepatocellular carcinoma (HCC), we have employed whole genome microarray expression profiling as a discovery platform in HCC and paired normal liver tissues to identify genes which down-regulated in HCC. Among which, INTS6 and its pseudogene, namely INTS6P1, were found to be dramatically down-regulated in HCC. The down-regulated expression of INTS6 and INTS6P1 in HCC was further confirmed by real-time PCR.
Project description:Many protein-coding oncofetal genes are highly expressed in murine and human fetal liver and silenced in adult liver. The protein products of these hepatic oncofetal genes have been used as clinical markers for the recurrence of hepatocellular carcinoma (HCC) and as therapeutic targets for HCC. Herein, we examined the expression profiles of long non-coding RNAs (lncRNAs) and mRNAs found in fetal and adult liver in mice.LncRNA-mPvt1 is an oncofetal RNA that was found to promote cell proliferation, cell cycling and the expression of stem cell-like properties of murine cells. Human lncRNA-hPVT1 promotes cell proliferation, cell cycling and the acquisition of stem cell-like properties in HCC cells by stabilizing NOP2 protein. Regulation of the lncRNA-hPVT1/NOP2 pathway may have beneficial effects in the treatment of HCC. We collected mouse fetal livers (E12.5, E14.5, E17.5 days), neonatal murine livers and adult murine livers (8 weeks). The total RNAs recovered from these developmental livers and were used to acquire different expression profiles of mRNAs and lncRNAs.
Project description:To date, 481 transcribed ultraconserved regions (T-UCRs) have been discovered in human genome. We aimed to investigate their characteristics in Crohnâs disease (CD) with conparison to healthy normal controls, to reveal differentially expressed T-UCRs. 3 CD patients and 3 NC volunteers were recruited in this study. With colonoscopy, colon mocosa pinch biopsy samles were got at inflammed site in CD patients and normal sites in NC volunteers respectively.
Project description:The human LncRNA microarray analysis of the 6 plasma samples from Coronary Artery Disease patients and non Coronary Artery Disease Agilent Feature Extraction software (version 11.0.1.1) was used to analyze acquired array images. Quantile normalization was performed using Expander6 and subsequent data processing was performed using the GeneSpring GX v11.5.1 software package (Agilent Technologies). After low intensity filtering, LncRNAs and mRNAs that at least 2 out of 12 samples have flags in Present or Marginal (“All Targets Value”) were chosen for quantile normalization and further data analysis. Differentially expressed LncRNAs and mRNAs with statistical significance 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 LncRNAs expression pattern among samples.