Project description:The aim of this study was to compare effect of everolimus on growth of different renal cell carcinoma (RCC) populations and develop design for experiments to measure the early response of everolimus in clear cell RCC (ccRCC) cell lines including renal cancer stem cells. Gene expression profiling using microarray was performed to determine the early response to everolimus after 3 days of treatment with optimizied concentration of drug in two ccRCC cell lines 1) parental clear cell renal cell carcinoma ccRCC-PCSC (HKPCSC -human parental kidney cancer stem cells) and 2) ccRCC-CSC - clear cell renal cell carcinoma -cancer stem cells (HKCSC - human kidney cancer stem cells).
Project description:Uncovering a protein abundance-based gene panel specific to clear cell Renal Cell Carcinoma (ccRCC) could provide support for the everyday clinical decision-making process. We used proteomic data to differentiate between normal kidney and ccRCC tissues. By using datasets of patients with paired normal tissue samples from gene array cohorts, we uncovered the top genes over-expressed in ccRCC. We collected surgically resected ccRCC specimens at Semmelweis University to validate the strongest genes. Differential expression was evaluated at the protein level using targeted mass spectrometry (MS).
Project description:Gene expression profiling was performed in ccRCC cells, which either express both HIF1alpha and HIF2alpha (either naturally or by virtue of induced expression of HIF1alpha) or express HIF2alpha alone (either naturally or by virtue of a HIF1alpha shRNA), to identify genes regulated by HIF1alpha in ccRCC cells.
Project description:Gene expression profiling was performed in ccRCC cells, which either express both HIF1alpha and HIF2alpha (either naturally or by virtue of induced expression of HIF1alpha) or express HIF2alpha alone (either naturally or by virtue of a HIF1alpha shRNA), to identify genes regulated by HIF1alpha in ccRCC cells. Three H2 cell lines 769P, A498, and SLR24 were stably infected with retrovirus encoding doxycycline-inducible Luciferase (control) or HIF1alpha, and two H1H2 cell lines Caki-2 and SLR25 were stably infected with retroviruses encoding scrambled (control) or HIF1alpha shRNA. Duplicated samples were used for each condition.
Project description:Despite numerous studies reporting deregulated microRNA (miRNA) and gene expression patterns in clear cell renal cell carcinoma (ccRCC), no direct comparisons have been made to its presumed normal counterpart; the renal proximal epithelial tubular cells (PTEC). The aim of this study was to determine the miRNA expression profiles of ten clear cell renal cell carcinoma-derived cell lines and short-term cultures of PTEC, and to correlate these with their gene expression, and copy-number profiles. Using microarray-based methods, a significantly altered expression level in ccRCC cell lines was observed for 23 miRNAs and 1630 genes. The set of miRNAs with significantly decreased expression levels include all members of the miR-200 family known to be involved in the epithelial to mesenchymal transition (EMT) process. Expression levels of 13 of the 47 validated target genes for the downregulated miRNAs were increased more than two-fold. Our data reinforce the importance of the EMT process in the development of ccRCC. For mRNA expression data of these cell lines see GEO Series accession number GSE20491. MicroRNA profiling was performed on two proximal tubular epithelial cell samples (both cell samples were hybridized twice (biological duplicates)) and ten clear cell renal cell carcinoma- derived cell lines (one of which; RCC-JF in duplicate)
Project description:Aberrant DNA methylation is common in cancer. To associate DNA methylation with gene function, we performed RNAseq upon tumor tissue and matched normal tissues of two ccRCC (clear cell renal cell carcinoma) patients. To quantify 5mC and 5hmC level in each CG site at genome-wide level, we performed BS-seq and TAB-seq upon tumor tissue and matched normal tissues of two ccRCC (clear cell renal cell carcinoma) patients, respectively. mRNA profiles of tumor and matched normal tissues from two ccRCC patients were generated by deep sequencing, using Hiseq 2000. Single-nucleotide-resolution, whole-genome, 5mC and 5hmC profiles of tumor and matched normal tissues from two ccRCC (clear cell renal cell carcinoma) patients were generated by deep sequencing, using Hiseq 2000.
Project description:Multi-Omics analysis to gain novel insights into clear cell renal carcinoma aetiology and progression. The DNA methylation data of 121 clear clear renal carcinoma (ccRCC) were integrated with WGS and transcriptomic data using Multi-Omics Factor Analysis (MOFA) to detect the inter-patient variations related to aetiological and disease progression related factors.
Project description:Clear-cell renal cell carcinoma (ccRCC) is one of the most common urological malignant neoplasms. In addition, ccRCC is a highly aggressive cancer with a concomitant poor prognosis. Forkhead box K2 (FOXK2) has been reported to involve in many molecular mechanisms.However, little is known about the role FOXK2 plays in clear-cell renal cell carcinoma. Our previous study showed that FOXK2 mRNA and protein expression were decreased in human ccRCC tissues and suppressed the proliferation of ccRCC cells both in vitro and in vivo. We used microarrays (Affymetrix HTA2.0 Array) to detail the differentially expressed genes after overexpression of FOXK2, and aim to find potential one or more target gene/genes of FOXK2
Project description:The proteome of clinical tissue samples diagnosed with clear cell renal cell carcinoma (ccRCC) and papillary renal cell carcinoma (pRCC) were evaluated analyzed along with the dataset identifier PXD022018 to establish a potential discriminative biomarker panel of proteins for these tumors subtypes.