Genome-wide profiling of 5-hydroxymethylcytosine in renal cell carcinoma tissue, urine and cell line samples.
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE118922 | GEO | 2019/12/31
REPOSITORIES: GEO
Similar Datasets
Project description:Ten-Elven Translocation (TET) proteins oxidize 5-methylcytosine (5mC) to 5-hydroxymethylcytonsie (5hmC). Our recent work found a decline in global 5hmC level in mouse kidney insulted by ischemia reperfusion (IR). However, the genomic distribution of 5hmC in mouse kidney and its relationship with gene expression remain elusive. Here, we profiled the DNA hydroxymethylome of mouse kidney by hMeDIP-seq and revealed that 5hmC is enriched in genic regions but depleted from intergenic regions. Correlation analyses showed that 5hmC enrichment in gene body is positively associated with gene expression level in mouse kidney. Moreover, IR injury-associated genes (both up- and down-regulated genes during renal IR injury) in mouse kidney exhibit significantly higher 5hmC enrichment in their gene body regions when compared to those un-changed genes. Collectively, our study not only provides the first DNA hydroxmethylome of kidney tissues but also suggests that DNA hyper-hydroxymethylation in gene body may be a novel epigenetic mark of IR injury-associated genes. Eamination of the genome-wide distribution of 5-hydroxymethylcytosine in mouse kidney tissues
2016-04-01 | E-GEOD-79093 | biostudies-arrayexpress
Project description:Clear cell renal cell carcinoma (ccRCC) is the most common variant of kidney cancer in the adult population. Late diagnosis, resistance to therapeutics and recurrence of metastatic lesions account for the highest mortality rate among kidney cancer patients. Identifying novel biomarkers for early cancer detection and the mechanisms underlying ccRCC growth and progression will provide clues to treat this aggressive malignant tumor. Here, we report that the RING ligase praja2 is a novel component of the endocytic system that supports clathrin-mediated receptor endocytosis. At the molecular level, we identify the adaptor protein AP2 as a binding partner and substrate of praja2. Functionally, we demonstrate that praja2 is required for AP2-mediated receptor endocytosis and clearance. Downregulation of praja2 in RCC cells and tissues is associated with a marked upregulation of membrane receptors, as EGFR, VEGFR and TfR. A negative feedback loop links EGF signaling to proteolysis of praja2 and sustains downstream mitogenic and proliferative pathways. Restoring praja2 expression in RCC cells remarkably decreases EGFR levels, rewires cancer cell metabolism and inhibits RCC growth and metastatic diffusion. In praja2 knockout mice, upregulation of RTKs levels associates with profound histopathological renal alterations. Our findings identify praja2 as a component of the endocytic pathway that supports receptor endocytosis and clearance. Downregulation of praja2 in RCC cells, thus, sustains RTK signaling and promotes kidney cancer growth and diffusion.
2024-05-21 | PXD034966 | Pride
Project description:Ten-Elven Translocation (TET) proteins oxidize 5-methylcytosine (5mC) to 5-hydroxymethylcytonsie (5hmC). Our recent work found a decline in global 5hmC level in mouse kidney insulted by ischemia reperfusion (IR). However, the genomic distribution of 5hmC in mouse kidney and its relationship with gene expression remain elusive. Here, we profiled the DNA hydroxymethylome of mouse kidney by hMeDIP-seq and revealed that 5hmC is enriched in genic regions but depleted from intergenic regions. Correlation analyses showed that 5hmC enrichment in gene body is positively associated with gene expression level in mouse kidney. Moreover, IR injury-associated genes (both up- and down-regulated genes during renal IR injury) in mouse kidney exhibit significantly higher 5hmC enrichment in their gene body regions when compared to those un-changed genes. Collectively, our study not only provides the first DNA hydroxmethylome of kidney tissues but also suggests that DNA hyper-hydroxymethylation in gene body may be a novel epigenetic mark of IR injury-associated genes.
2016-04-01 | GSE79093 | GEO
Project description:Clear cell renal cell carcinoma (ccRCC) is the most common variant of kidney cancer in the adult population. Late diagnosis, resistance to therapeutics and recurrence of metastatic lesions account for the highest mortality rate among kidney cancer patients. Identifying novel biomarkers for early cancer detection and the mechanisms underlying ccRCC growth and progression will provide clues to treat this aggressive malignant tumor. Here, we report that the RING ligase praja2 is a novel component of the endocytic system that supports clathrin-mediated receptor endocytosis. At molecular level, we identify the adaptor protein AP2 as a binding partner and substrate of praja2. Functionally, we demonstrate that praja2 is required for AP2-mediated receptor endocytosis and clearance. Downregulation of praja2 in RCC cells and tissues is associated with a marked upregulation of membrane receptors, as EGFR, VEGFR and TfR. A negative feedback loop links EGF signaling to proteolysis of praja2 and sustains downstream mitogenic and proliferative pathways. Restoring praja2 expression in RCC cells remarkably decreases EGFR levels, rewires cancer cell metabolism and inhibits RCC growth and metastatic diffusion. In praja2 knockout mice, upregulation of RTKs levels associates with profound histopathological renal alterations. Our findings identify praja2 as a component of the endocytic pathway that supports receptor endocytosis and clearance. Downregulation of praja2 in RCC cells, thus, sustains RTK signaling and promotes kidney cancer growth and diffusion.
2023-08-13 | E-MTAB-11900 | biostudies-arrayexpress
Project description:Profiling of adult and pediatric renal tumors reveals that genome wide miRNA expression patterns are unique to each tumor subtypes. Keywords: Disease state analysis Samples from Clear Cell RCC, Papillary RCC, Chromophobe RCC, Oncocytoma, and Wilms Tumor compared to pooled normal kidney samples from these same patients. No technical replicates.
2008-06-05 | E-GEOD-11016 | biostudies-arrayexpress
Project description:Intronic and intergenic long noncoding RNAs (lncRNAs) are emerging gene expression regulators. The molecular pathogenesis of renal cell carcinoma (RCC) is still poorly understood, and in particular, limited studies are available for intronic lncRNAs expressed in RCC. Microarray experiments were performed with two different custom-designed arrays enriched with probes for lncRNAs mapping to intronic genomic regions. Samples from 18 primary clear cell RCC tumors and 11 nontumor adjacent matched tissues were analyzed with 4k-probes microarrays. Oligoarrays with 44k-probes were used to interrogate 17 RCC samples (14 clear cell, 2 papillary, 1 chromophobe subtypes) split into four pools. Meta-analyses were performed by taking the genomic coordinates of the RCC-expressed lncRNAs, and cross-referencing them with microarray expression data from three additional human tissues (normal liver, prostate tumor and kidney nontumor samples), and with large-scale public data for epigenetic regulatory marks and for evolutionarily conserved sequences. A signature of 29 intronic lncRNAs differentially expressed between RCC and nontumor samples was obtained (false discovery rate (FDR) <5%). An additional signature of 26 intronic lncRNAs significantly correlated with the RCC five-year patient survival outcome was identified (FDR <5%, p-value M-bM-^IM-$0.01). We identified 4303 intronic antisense lncRNAs expressed in RCC, of which 25% were cis correlated (r >|0.6|) with the expression of the mRNA in the same locus across three human tissues. Gene Ontology (GO) analysis of those loci pointed to M-bM-^@M-^Xregulation of biological processesM-bM-^@M-^Y as the main enriched category. A module map analysis of all expressed protein-coding genes in RCC that had a significant (r M-bM-^IM-%|0.8|) trans correlation with the 20% most abundant lncRNAs identified 35 relevant (p <0.05) GO sets. In addition, we determined that 60% of these lncRNAs are evolutionarily conserved. At the genomic loci containing the intronic RCC-expressed lncRNAs, a strong association (p <0.001) was found between their transcription start sites and genomic marks such as CpG islands and histones methylation and acetylation. Intronic antisense lncRNAs are widely expressed in RCC tumors. Some of them are significantly altered in RCC in comparison with nontumor samples. The majority of these lncRNAs is evolutionarily conserved and possibly modulated by epigenetic modifications. Our data suggest that these RCC lncRNAs may contribute to the complex network of regulatory RNAs playing a role in renal cell malignant transformation. A total of 22 human kidney tissue samples consisting of 11 primary renal tumors and 11 matched adjacent nontumor tissues from clear cell renal cell carcinmoa (RCC) patients were evaluated in this study. We compared the expression profiles of tumor and non-tumor samples obtained from patients with clear cell RCC to evaluate a possible correlation of the lncRNAs with renal malignancy. The set of clear cell RCC expression profiles was generated using a custom-designed cDNA microarray platform with 4,608 unique elements in replicate (9,216) enriched in gene fragments that map to intronic regions of known human genes (GPL3985).
2014-01-21 | E-GEOD-40911 | biostudies-arrayexpress
Project description:Intronic and intergenic long noncoding RNAs (lncRNAs) are emerging gene expression regulators. The molecular pathogenesis of renal cell carcinoma (RCC) is still poorly understood, and in particular, limited studies are available for intronic lncRNAs expressed in RCC. Microarray experiments were performed with two different custom-designed arrays enriched with probes for lncRNAs mapping to intronic genomic regions. Samples from 18 primary clear cell RCC tumors and 11 nontumor adjacent matched tissues were analyzed with 4k-probes microarrays. Oligoarrays with 44k-probes were used to interrogate 17 RCC samples (14 clear cell, 2 papillary, 1 chromophobe subtypes) split into four pools. Meta-analyses were performed by taking the genomic coordinates of the RCC-expressed lncRNAs, and cross-referencing them with microarray expression data from three additional human tissues (normal liver, prostate tumor and kidney nontumor samples), and with large-scale public data for epigenetic regulatory marks and for evolutionarily conserved sequences. A signature of 29 intronic lncRNAs differentially expressed between RCC and nontumor samples was obtained (false discovery rate (FDR) <5%). An additional signature of 26 intronic lncRNAs significantly correlated with the RCC five-year patient survival outcome was identified (FDR <5%, p-value ?0.01). We identified 4303 intronic antisense lncRNAs expressed in RCC, of which 25% were cis correlated (r >|0.6|) with the expression of the mRNA in the same locus across three human tissues. Gene Ontology (GO) analysis of those loci pointed to ‘regulation of biological processes’ as the main enriched category. A module map analysis of all expressed protein-coding genes in RCC that had a significant (r ?|0.8|) trans correlation with the 20% most abundant lncRNAs identified 35 relevant (p <0.05) GO sets. In addition, we determined that 60% of these lncRNAs are evolutionarily conserved. At the genomic loci containing the intronic RCC-expressed lncRNAs, a strong association (p <0.001) was found between their transcription start sites and genomic marks such as CpG islands and histones methylation and acetylation. Intronic antisense lncRNAs are widely expressed in RCC tumors. Some of them are significantly altered in RCC in comparison with nontumor samples. The majority of these lncRNAs is evolutionarily conserved and possibly modulated by epigenetic modifications. Our data suggest that these RCC lncRNAs may contribute to the complex network of regulatory RNAs playing a role in renal cell malignant transformation. Tumor kidney tissue samples expression was measured with a 44k-element oligo-array (GPL4051) using 4 pools of tumor samples from 17 RCC patients (14 clear cell RCC, 2 papillary RCC and 1 chromophobe RCC). Pools were obtained from equal amounts of 300ng of DNase-treated total RNA of each tissue sample.
2014-01-21 | E-GEOD-40913 | biostudies-arrayexpress
Project description:Renal cell carcinoma (RCC), particularly clear cell RCC (ccRCC), is the most common type of kidney tumors characterized by the highest mortality rate of the genitourinary cancers. Lack of symptoms leads to late detection of the disease using conventional imagining procedures. There is an urgent need for new diagnostic biomarkers with the potential for early detection and prediction of high risk of progression. In the present study, based on microarray profiling of DNA methylation in 11 pairs of ccRCC and noncancerous renal tissues (NRT), the methylation at regulatory regions of six putative ccRCC biomarkers was further analyzed in 123 ccRCC and 45 NRT samples by means of methylation specific PCR (MSP). Thereafter, the quantitative MSP was applied for the methylation analysis in the urine samples of 123 ccRCC patients and 93 asymptomatic controls (ASC). The comparison of ccRCC and NRT samples revealed significant methylation differences in 1319 genes, of which 191 were hypermethylated and 1128 were hypomethylated. DNA methylation of selected genes were validated by means of MSP and significantly higher methylation frequencies for all genes was found in ccRCC tissues compared to NRT (33-60% vs. 0-11%). Methylated status of at least one gene was significantly related with various adverse clinical-pathological parameters of the patients, including larger tumor size, higher tumor pathological stage, grade, intravascular and fat invasion as welll as tumor necrosis. The multivariate Cox regression model revealed the methylation in a panel of selected three genes as independent prognostic biomarker of ccRCC. Moreover, five genes were characterised by higher methylation intensity in the urine samples of ccRCC patients, as compared to ASC, and various combination of these biomarkers revealed moderate-to-high sensitivity and specificity values for the diagnosis of ccRCC.
2021-02-15 | GSE166734 | GEO
Project description:Methylation at the 5-position of cytosine is a well-studied epigenetic pathway. In addition to 5-methylcytosine (5mC), substantial amounts of 5-hydroxymethylcytosine (5hmC) also referred to as the 6th DNA base, have been detected in certain tissues, most notably the brain. However, the genomic distribution of this cytosine modification is unknown. Here, we have developed an immunoprecipitation technique (5hmC-IP) to examine the occurrence of 5hmC in human DNA from brain frontal lobe tissue. The distribution of 5hmC was compared to that of 5mC. We show that 5hmC is more selectively targeted to genes than is 5mC. 5hmC is found at promoters and is particularly enriched in intragenic regions (gene bodies) but is largely absent from non-gene regions. 5hmC peaks at transcription start sites did not correlate with gene expression levels or H3K4me3 peaks. However, presence of 5hmC in gene bodies was more positively correlated with gene expression levels than was presence of 5mC. Promoters of testis-specific genes showed strong 5mC peaks in brain DNA but were almost completely devoid of 5hmC. Our data provide a first overview of the genomic distribution of 5hmC in human brain and will set the stage for further functional characterization of this novel DNA modification. Comparison between 5hmC and 5mC profiles
2011-03-01 | E-GEOD-27051 | biostudies-arrayexpress
Project description:Through parallel processing of genomic DNA with bisulfite and oxidative bisulfite treatments on Illumina 450K arrays we resolved both 5mC and 5hmC in glioblastoma tissues. We developed and applied a novel technique for estimating 5mC, 5hmC, and unmethylated proportions from array data to glioblastoma tissues and compare with normal brain tissue. Genomic distribution of 5hmC was associated with features of transcription despite the glioblastoma genome being relatively depleted of 5hmC. When integrating 5mC and 5hmC data using a Gaussian finite mixture model approach, we observed significant associations between 5hmC levels and gene-sets involved in immune and RNA regulatory processes. We also observed an enrichment of 5hmC in introns, enhancer regions, and genes that are actively transcribed in glioblastomas from TCGA. Significant differences in patient survival were observed among classes of 5hmC obtained from a recursively partitioned mixture model.
2016-08-22 | GSE73895 | GEO