Project description:Genome-wide DNA methylation profiling of 786-0 RCC cells treated with decitabine (100nM and 300nM) or DMSO vehicle. The Illumina Infinium HumanMethylation EPIC BeadChip was used to obtain DNA methylation profiles across approximately 850K CpGs.
Project description:786-0 is a cell line derived from a clear cell renal carcinoma. Previous studies have shown that the 786-O cell line harbors an inactivating mutation in the von-Hippel Lindau (VHL) gene. Mutations in the VHL gene occur in the majority of sporadic clear cell renal cell. To determine how inactivation of the VHL affects cellular functions, we created a derivative of 786-0, which we call 786-VHL in which a functional allele of VHL has been introduced back into the 786-O cell line.
Project description:786-0 is a cell line derived from a clear cell renal carcinoma. Previous studies have shown that the 786-O cell line harbors an inactivating mutation in the von-Hippel Lindau (VHL) gene. Mutations in the VHL gene occur in the majority of sporadic clear cell renal cell. To determine how inactivation of the VHL affects cellular functions, we created a derivative of 786-0, which we call 786-VHL in which a functional allele of VHL has been introduced back into the 786-O cell line. The renal cell carcinoma cell line 786-0, which harbors a mutated allele of VHL, was compared to a cell line derived from 786-0, termed 786-VHL, that contains a functional allele of VHL. Genes whose expression characteristics were dependent on functional VHL were identified.
Project description:The human renal cancer cell line 786-0 was transfected with 3 vectors allowing the doxycycline-inducible expression of 1) the full length wild type sequence of VHL: 786-0 VHL WT, VHL+/+, 2) the R167Q mutant : 786-0 R167Q, VHL mutated, 3) the empty vector : 786-0 EV, VHL-/-. The aim of the study was to examine whether the VHL-R167Q mutation, which is associated with a high risk of developping clear cell renal carcinomas, could impact the plasticity of renal carcinoma cells.
Project description:Groundbreaking research in the last decade has definitively established human pluripotent stem cells (hPSCs) as a powerful source for the unlimited generation of dopamine (DA) neurons used in cell-based therapy in Parkinson’s disease (PD). However, DA neurons constitute a heterogeneous group of cells with different molecular identities and, consequently, different functions and innervation targets. Moreover, the inaccessibility of the human brain has so far hindered our understanding of the highly complex human DA system and, therefore, the design of DA neuron subtype-specific differentiation protocols for more effective cell replacement therapies. Currently, DA neurons – located in human ventral midbrain – can only be reliably distinguished based on their projection patterns. Here, we used hPSCs to derive and then transplant DA neurons into a rat model of PD. After one year of transplantation, we performed single nucleus RNA sequencing (snRNAseq) of ~80,000 human nuclei to transcriptionally define cell type composition and obtained a comprehensive map of DA neuron molecular identities. Exploiting the fact that transplanted DA neurons innervated and integrated within the host circuitry, we then combined snRNAseq with axonal retrograde AAV barcoding to trace the projection patterns of molecularly distinct human DA neuron subtypes in the grafts. We thus defined human DA neuron transcriptional profiles based on their target-specific outgrowth in the host brain. The resulting datasets provide an unprecedented resource both for elucidating the molecular basis of human DA neuron diversity as well as for developing more targeted cell-based therapies, with major implications for outcomes of PD patients.
Project description:Genome-wide DNA methylation profiling of SETD2-null 786-0 RCC cells treated with decitabine (100nM and 300nM) or DMSO vehicle. The Illumina Infinium HumanMethylation EPIC BeadChip was used to obtain DNA methylation profiles across approximately 850K CpGs.
Project description:To explore the signaling network involving circDVL1, miR-412-3p, and its targets in ccRCC, we used RNA sequencing (RNA-seq) to identify potential miR-412-3p target genes in miR-412-3p overexpressing and control cells. RNA-seq data identified 392 mRNAs that were downregulated in miR-412-3p overexpressing 786-O cells