RNA-sequencing of renal cells from Setd2-wildtype PKD and Setd2-knlckout ccRCC mice.
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE221136 | GEO | 2022/12/26
REPOSITORIES: GEO
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Project description:Patients with polycystic kidney disease (PKD) encounter a high risk of clear cell renal cell carcinoma (ccRCC), a malignant tumor with dysregulated lipid metabolism. SET domain–containing 2 (SETD2) has been identified as an important tumor suppressor gene in ccRCC. However, the role of SETD2 in tumorigenesis during the transition from PKD to ccRCC remains largely unexplored. Herein, we performed metabolomics, lipidomics, transcriptomics and proteomics with SETD2 loss induced PKD-ccRCC transition mouse model. To characterize biological responses triggered by SETD2 deletion during PKD-ccRCC transition at the protein level, we conducted global proteomics studies.
2023-10-31 | PXD038966 | Pride
Project description:To explore a possible role of SETD2 in kidney development and tumorigenesis in vivo, we generated Setd2-floxed mice and deleted the Setd2 gene in tubular epithelial cells using a transgenic Ksp1.3/Cre mouse line. Then, we established our own c-MYC-transgene mouse line by overexpressing the human c-MYC under the control of the Ksp promoter to generate kidney disease mouse model. To get an insight into the mechanism of how SETD2 ablation promotes ccRCC formation in a c-MYC-generated PKD model, we performed RNA-seq using the renal tubules isolated from Wild Type, Setd2-KO, MYC-OE and MYC-OE; Setd2-KO mice.
2021-03-14 | GSE168849 | GEO
Project description:RNA-sequencing of renal cells from Setd2-wildtype PKD and Setd2-knlckout ccRCC mice.
| PRJNA913096 | ENA
Project description:SETD2, a H3K36 trimethyltransferase, is frequently mutated in human cancers with the highest prevalence (13%) in clear cell renal cell carcinoma (ccRCC). Genomic profiling of primary ccRCC tumors reveals a positive correlation between SETD2 mutations and metastasis. However, whether and how SETD2-loss promotes metastasis remains unclear. Here, we detected SETD2 mutations in 24 of 51 (47%) metastatic ccRCC tumors. Using SETD2-mutant metastatic ccRCC patient-derived cell line and xenograft models, we showed that H3K36me3 restoration greatly reduced distant metastases of ccRCC in mice. An integrated ATAC-seq, ChIP-seq, and transcriptome analysis concluded a tumor suppressor model in which loss of SETD2-mediated H3K36me3 activates enhancers to drive oncogenic transcription through dysregulating histone chaperone recruitment, enhancing histone exchange, and expanding chromatin accessibility. Furthermore, we uncovered mechanism-based therapeutic strategies for SETD2-deficient cancer through inhibition of histone chaperones. Overall, SETD2-loss creates a permissive epigenetic landscape for cooperating oncogenic drivers to amplify transcriptional output, providing unique therapeutic opportunities.
2021-11-15 | GSE146537 | GEO
Project description:SETD2, a H3K36 trimethyltransferase, is frequently mutated in human cancers with the highest prevalence (13%) in clear cell renal cell carcinoma (ccRCC). Genomic profiling of primary ccRCC tumors reveals a positive correlation between SETD2 mutations and metastasis. However, whether and how SETD2-loss promotes metastasis remains unclear. Here, we detected SETD2 mutations in 24 of 51 (47%) metastatic ccRCC tumors. Using SETD2-mutant metastatic ccRCC patient-derived cell line and xenograft models, we showed that H3K36me3 restoration greatly reduced distant metastases of ccRCC in mice. An integrated ATAC-seq, ChIP-seq, and transcriptome analysis concluded a tumor suppressor model in which loss of SETD2-mediated H3K36me3 activates enhancers to drive oncogenic transcription through dysregulating histone chaperone recruitment, enhancing histone exchange, and expanding chromatin accessibility. Furthermore, we uncovered mechanism-based therapeutic strategies for SETD2-deficient cancer through inhibition of histone chaperones. Overall, SETD2-loss creates a permissive epigenetic landscape for cooperating oncogenic drivers to amplify transcriptional output, providing unique therapeutic opportunities.
2021-11-15 | GSE146540 | GEO
Project description:SETD2, a H3K36 trimethyltransferase, is frequently mutated in human cancers with the highest prevalence (13%) in clear cell renal cell carcinoma (ccRCC). Genomic profiling of primary ccRCC tumors reveals a positive correlation between SETD2 mutations and metastasis. However, whether and how SETD2-loss promotes metastasis remains unclear. Here, we detected SETD2 mutations in 24 of 51 (47%) metastatic ccRCC tumors. Using SETD2-mutant metastatic ccRCC patient-derived cell line and xenograft models, we showed that H3K36me3 restoration greatly reduced distant metastases of ccRCC in mice. An integrated ATAC-seq, ChIP-seq, and transcriptome analysis concluded a tumor suppressor model in which loss of SETD2-mediated H3K36me3 activates enhancers to drive oncogenic transcription through dysregulating histone chaperone recruitment, enhancing histone exchange, and expanding chromatin accessibility. Furthermore, we uncovered mechanism-based therapeutic strategies for SETD2-deficient cancer through inhibition of histone chaperones. Overall, SETD2-loss creates a permissive epigenetic landscape for cooperating oncogenic drivers to amplify transcriptional output, providing unique therapeutic opportunities.
2021-11-15 | GSE146539 | GEO
Project description:SETD2, a H3K36 trimethyltransferase, is frequently mutated in human cancers with the highest prevalence (13%) in clear cell renal cell carcinoma (ccRCC). Genomic profiling of primary ccRCC tumors reveals a positive correlation between SETD2 mutations and metastasis. However, whether and how SETD2-loss promotes metastasis remains unclear. Here, we detected SETD2 mutations in 24 of 51 (47%) metastatic ccRCC tumors. Using SETD2-mutant metastatic ccRCC patient-derived cell line and xenograft models, we showed that H3K36me3 restoration greatly reduced distant metastases of ccRCC in mice. An integrated ATAC-seq, ChIP-seq, and transcriptome analysis concluded a tumor suppressor model in which loss of SETD2-mediated H3K36me3 activates enhancers to drive oncogenic transcription through dysregulating histone chaperone recruitment, enhancing histone exchange, and expanding chromatin accessibility. Furthermore, we uncovered mechanism-based therapeutic strategies for SETD2-deficient cancer through inhibition of histone chaperones. Overall, SETD2-loss creates a permissive epigenetic landscape for cooperating oncogenic drivers to amplify transcriptional output, providing unique therapeutic opportunities.
2021-11-15 | GSE146538 | GEO
Project description:SETD2, a H3K36 trimethyltransferase, is frequently mutated in human cancers with the highest prevalence (13%) in clear cell renal cell carcinoma (ccRCC). Genomic profiling of primary ccRCC tumors reveals a positive correlation between SETD2 mutations and metastasis. However, whether and how SETD2-loss promotes metastasis remains unclear. Here, we detected SETD2 mutations in 24 of 51 (47%) metastatic ccRCC tumors. Using SETD2-mutant metastatic ccRCC patient-derived cell line and xenograft models, we showed that H3K36me3 restoration greatly reduced distant metastases of ccRCC in mice. An integrated ATAC-seq, ChIP-seq, and transcriptome analysis concluded a tumor suppressor model in which loss of SETD2-mediated H3K36me3 activates enhancers to drive oncogenic transcription through dysregulating histone chaperone recruitment, enhancing histone exchange, and expanding chromatin accessibility. Furthermore, we uncovered mechanism-based therapeutic strategies for SETD2-deficient cancer through inhibition of histone chaperones. Overall, SETD2-loss creates a permissive epigenetic landscape for cooperating oncogenic drivers to amplify transcriptional output, providing unique therapeutic opportunities.
2021-11-15 | GSE146541 | GEO
Project description:Large-scale sequencing efforts in Clear cell renal cell carcinoma (ccRCC) have found a high prevalence of mutations in chromatin-related genes. Prominent within this group is SETD2, which is mutated in 15% of ccRCC and is associated with aggressive disease. SETD2 is a methyltransferase responsible for trimethylating lysine 36 on histone H3 (H3K36me3). Although it is not completely understood how SETD2 loss contributes to ccRCC tumorigenesis, it is thought that it reprograms the epigenetic landscape of the cell. Here we explore the impact that SETD2/H3K36me3 loss has on the DNA methylome in ccRCC cells. DNA methylation was measured using the EPIC DNA methylation assay in 786-O ccRCC cells and non-cancerous transformed proximal tubule kidney cells (HKC) with and without SETD2. Sensitivity to DNA hypomethylating agents was assessed by dose-response assay using 5-aza-2'-deoxycytidine. Apoptosis was measured via Annexin-V/PI staining by flow cytometry. Mitochondrial fitness was evaluated by electron microscopy and flow cytometry. Moreover, activity of 5-aza-2'-deoxycytidine, a DNA hypomethylating agent, in was assessed in SETD2 WT/KO xenografts in NOD-Scid mice. SETD2 loss resulted in DNA hypermethylation in HKC cells and to a greater extent in 786-O. Dose-response assays showed that SETD2-null ccRCC cells are sensitive to 5-aza-2'-deoxycytidine. Furthermore, Annexin-V/PI staining revealed more apoptotic and necrotic cells in SETD2-null cells following 5-aza-2'-deoxycytidine treatment, which was rescued using a Caspase inhibitor. In addition, 5-aza-2'-deoxycytidine induced profound changes in mitochondria in SETD2-null cells, including loss of membrane potential and size reduction. Indeed, in vivo experiments verified increased SETD2-null xenografts’ sensitivity to 5-aza-2'-deoxycytidine. We show that SETD2 loss in ccRCC cells causes DNA hypermethylation, creating a synthetic lethal dependency with DNA hypomethylating agents.
2024-07-01 | GSE223688 | GEO
Project description:To get an insight into the mechanism of how SETD2 ablation promotes ccRCC, we performed RNA-seq using the renal tubules isolated from MYC+; SETD2-/- mice compared with their control MYC+ littermates.
2020-12-31 | GSE125381 | GEO