Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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MiRNA sequencing of 10 pairs samples between kidney normal tissues and cancer tissue

ABSTRACT: we combined their genome-wide profiles of tumors and normal adjacent tissues in 10 ccRCC patients. The results showed that 283 miRNAs were down-regulated and 187 up-regulated, meanwhile 7473 mRNAs were up-regulated and 3439 down-regulated in ccRCC. Expressions of 12 miRNAs and genes were validated in 10 patients we studied by RT-qPCR (validation rate from 60% to 100%). Differentially expressed gene analysis showed the collective change of miR-200 and SLC22A gene family, and pathway analysis revealed down-regulation of multiple metabolic pathways and up-regulation of focal adhesion, ECM-receptor interaction, etc. Moreover, A miRNA cluster located in chromosome Xq27.3 were significantly down-regulated in ccRCC, which were verified in 53 ccRCC patients by RT-qPCR (validation rate from 63.8% to 88.6%).56M-BM- and 586 potentially novel miRNAs andM-BM- mRNA we detected according toM-BM- statistical analyses. In addition,M-BM- 14M-BM- miRNA candidates were randomly selected to validateM-BM- usingM-BM- qRT-PCR and Sanger sequcencing technology, 10 of out 14 could be successfully amplified,.Plus, the sequences of all 5 randomly selected amplified products were confirmed by cloned Sanger sequencing.Our data demonstrated a combined profiling of miRNAs and mRNAs in ccRCC, which showed the decreased metabolism and the perturbation of renal cell function. Moreover, this study identified the expression alteration of a miRNA cluster on Xq27.3, which suggested its potential function in carcinogenesis of ccRCC Examination of 10 pairs of kidney normal cells and cancer cells .

ORGANISM(S): Homo sapiens

SUBMITTER: JACK LI

PROVIDER: E-GEOD-24457 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:We investigated the expression profiles of microRNAs (miRNA) in 27 renal cell carcinoma (RCC) FFPE tissues (3 chRCC, 5 papRCC and 18 ccRCC), 4 upper urinary tract-urothelial cell carcinomas of the renal pelvis-ureter (UUT-UCCs) and 20 normal kidneys by using the miRCURY LNAM-bM-^DM-" microRNA Array, 6th gen (Exiqon, Woburn MA), containing capture probes that target all miRNAs for all species registered in the miRBASE version 16.0. Real-time PCR (qRT-PCR) using appropriate endogenous controls was performed in order to validate the microarray results of the 27 most differentially expressed (DE) miRNAs. We identified 434 miRNAs that were significantly deregulated in all kidney tumours compared to the normal tissues. A total of 126 miRNAs (29%) had increased expression while 303 (69.8%) had decreased expression in RCC. Out of the 434 DE miRNAs, we detected 94 co-up-regulated and 218 co-down-regulated microRNAs among chRCC, papRCC and ccRCC. Of these, 89 and 203 were co-up- and co-down-regulated between RCCs and UUT-UCCs, respectively. We detected 11, 44 and 24 up-regulated miRNAs, which were specific for ccRCC, chRCC and papRCC, respectively. Moreover, 19, 18 and 8 miRNAs were uniquelly down-regulated in ccRCC, chRCC and papRCC, respectively. We also detected 89 and 203 co-up- and co-down-regulated miRNAs between kidney cancer and UUT-UCCs. Five miRNAs were up-regulated specifically in renal tumours and 49 in UUT-UCCs, whereas 15 miRNAs were down-regulated specifically in renal tumours and 89 in UUT-UCCs, respectively. Our data validicate that expression of miRNAs tends to be down-regulated renal cell carcinomas compared with normal kidney. We used 18 ccRCC, 3 chRCC, 5 papRCC, 4 UUT-UCC, 1 undifferentiated carcinoma and 19 normal tissue samples for miRNA profiling. Total RNA (0.5 M-BM-5g) from each sample and reference was labeled with Hy3M-bM-^DM-" fluorescent label, using the miRCURY LNAM-bM-^DM-" microRNA Hi-Power Labeling Kit (Exiqon, Woburn MA). The Hy3M-bM-^DM-\"-labeled samples were hybridized to the miRCURY LNAM-bM-^DM-" microRNA Array, 6th gen (Exiqon, Woburn MA), using an Agilent hybridization SureHyb chamber and gasket slide kits. After hybridization, the microarray slides were scanned at 10 M-NM-<m using the High-Resolution Microarray Scanner (Agilent Technologies) and stored in an ozone free environment. The image analysis was carried out using the ImaGene 8.0 software (BioDiscovery, Inc., USA). Raw microarray data were filtered, background corrected and quantile normalizated. Normalized data were further extracted, pre-processed and sorted with Microsoft ExcelM-BM-.. MicroRNAs were considered to be significantly differentially expressed if they obtained a p-value<0.05 and a FDRM-bM-^IM-$0.05.

Project description:The molecular response to hypoxia is a critical cellular process implicated in cancer, and a target for drug development. The activity of the major player, HIF1M-NM-1,M-BM- is regulated at different levels, including the transcriptional level by the Ets factor ELK3. The molecular mechanisms of this intimate transcriptional connection remain largely unknown. Whilst investigating global ELK3-chromatin interactions, we uncovered an unexpected connection that involves the microRNA hsa-miR-155-5p, a hypoxia-inducible oncomir that targets HIF1M-NM-1. One of the ELK3 chromatin binding sites, detected by Chromatin Immuno-Precipitation Sequencing (ChIP-seq) of normal Human Umbilical Vein Endothelial Cells (HUVEC), is located at the transcription start site of the MIR155HG genes that expresses hsa-miR-155-5p. We confirmed that ELK3 binds to this promoter by ChIP and QPCR. We showed that ELK3 and hsa-miR-155-5p form a double-negative regulatory loop. ELK3 depletion induced hsa-miR-155-5p expression, and hsa-miR-155-5p expression decreased ELK3 expression at the RNA level through a conserved target sequence in its 3M-bM-^@M-^Y-UTR. We further showed that the activities of hsa-miR-155-5p and ELK3 are functionally linked. Pathway analysis indicates that both factors are implicated in related processes, including cancer and angiogenesis. hsa-miR-155-5p expression and ELK3 depletion have similar effects on expression of known ELK3 target genes, and in-vitro angiogenesis and wound closure. Bioinformatic analysis of cancer RNA-seq data shows that hsa-miR-155-5p and ELK3 expression are significantly anti-correlated, as would be expected from hsa-miR-155-5p targeting ELK3 RNA. Hypoxia (0% oxygen) down-regulates ELK3 mRNA in a microRNA and hsa-miR-155-5p dependent manner. These results tie ELK3 into the hypoxia response pathway through an oncogenic microRNA and into a circuit implicated in the dynamics of the hypoxic response.M-BM- This crosstalk could be important in the development of new treatments for a range of pathologies. Examination of ELK3 DNA interactions in HUVEC cells under normal oxygen conditions

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MiRNA sequencing of 10 pairs samples between kidney normal tissues and cancer tissue

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