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Next Generation Sequencing Facilitates Quantitative Analysis of control, SETD6 Knock-out, SETD3 knock-out and SETD6+SETD3 knock-out HeLa cells Transcriptomes

ABSTRACT: The goal of this study was to identifiy shared target genes for SETD3 and SETD6.

ORGANISM(S): Homo sapiens

PROVIDER: GSE199250 | GEO | 2023/03/01

REPOSITORIES: GEO

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Next Generation Sequencing Facilitates Quantitative Analysis of control, SETD6 Knock-out, SETD3 knock-out and SETD6+SETD3 knock-out HeLa cells Transcriptomes

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of control, SETD6 Knock-out, SETD3 knock-out and SETD6+SETD3 knock-out HeLa cells Transcriptomes

| PRJNA819059 | ENA

Next Generation Sequencing Facilitates Quantitative Analysis of SETD6 Knock-out and stable expression of TWIST1 in Glioblastoma cells

Project description:The goal of this study was to identifiy shared target genes for SETD6 and TWIST1 in Glioblastoma.

2022-07-14 | GSE186047 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of SETD6 Knock-out and stable expression of TWIST1 in Glioblastoma cells

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of SETD6 Knock-out and stable expression of TWIST1 in Glioblastoma cells

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SETD6 Mediates Selective Interaction and Genomic Occupancy of BRD4 and MITF in Melanoma [CUT&Run]

Project description:Aberrant transcriptional programs mediate malignant transformation of melanoma, the most aggressive form of skin cancer. The lysine methyltransferase SETD6 has been implicated in regulating transcription, cell adhesion, migration, and other processes in various cancers, however its role in melanoma remains unexplored. We recently reported that SETD6 mono-methylates the BRD4 at K99 to selectively regulate transcription of genes involved in mRNA translation. Here, we observed that BRD4 methylation at K99 by SETD6 occurs in melanoma cells. Knockout of SETD6 or a point mutation at BRD4-K99 disrupts BRD4 genomic occupancy. In addition, we show that SETD6 interacts with MITF, a master transcription factor in melanocytes and melanoma, and influences the genomic distribution of MITF. Mechanistically, we uncover a novel chromatin- localized interaction between BRD4 and MITF in melanoma. Our data suggest that BRD4 binds MITF in melanoma cells and that this interaction is dependent on both SETD6-mediated methylation of BRD4 and MITF acetylation. This chromatin complex plays a pivotal role in selective recruitment of BRD4 and MITF to different genomic loci in melanoma cells.

2025-08-20 | GSE298161 | GEO

SETD6 Mediates Selective Interaction and Genomic Occupancy of BRD4 and MITF in Melanoma [RNA-seq]

2025-08-20 | GSE298160 | GEO

E2F1 methylation by SETD6 disrupts BRD4-E2F1 binding and modulates gene regulation in prostate cancer cells

Project description:The SETD6 protein lysine methyltransferase has a role in the regulation of various cellular processes including cancer initiation and progression. It methylates several cellular proteins including K117 of the E2F1 transcription factor, but the functional consequences of this methylation event are unknown. In this study, the role of SETD6 mediated E2F1 methylation on the progression of prostate cancer was investigated. We identified distinct sets of genes that are bound and upregulated by methylated and unmethylated E2F1. Genes upregulated by methylated E2F1 lead to the negative regulation of cell migration, while genes upregulated by unmethylated E2F1 have roles in cell proliferation and apoptosis. BRD4 is known to bind E2F1 acetylated at K117 and K120. Here, we demonstrate that methylation of E2F1 at K117 prevents E2F1-BRD4 binding of in vitro and in cells establishing the molecular mechanism of the differential gene regulation by methylated and unmethylated E2F1 that depends on SETD6 activity.

2025-12-22 | GSE286198 | GEO

E2F1 methylation by SETD6 disrupts BRD4-E2F1 binding and modulates gene regulation in prostate cancer cells [ChIP-seq]

2025-12-22 | GSE286020 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and TWIST1 knock out U87 xenograft mice transcriptomes

Project description:Purpose:Next-generation sequencing has revolutionized sytems-level celluar pathway analysis. The goals of this study are to compare the U87 cell xenograft GBM mice (U87 cell line) to TWIST1 knock out U87 cell xenograft GBM mice (TWIST1 knock out U87 cell line) using their transcriptomes

2018-05-01 | GSE106159 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and Larp7 Knock-out Staged Male Germ Cells Transcriptomes

Project description:Analysis the difference in the transcriptomes (expression and alternative splicing) of either spermatocytes or round spermatids between Larp7 conditional knock-out and control mice

2019-11-07 | GSE128832 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Papillary Thyroid Carcinoma

Project description:Our study aims to investigate the molecular variance of PTC in human PTC tumor sample and normal tissue sample, and to identifiy potential genes as diagnostic markers for PTC.

2020-08-16 | GSE153659 | GEO

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