Project description:RNAseq to determine whether bidirectional transcription occurs over transposable elements following depletion of SETDB1 in THP-1 AML Cells
Project description:SETDB1 disruption leads to an increase in the expression of transposable elements as determined by our standard RNAseq, where bidirectional transcription has been reported. We repeated RNA seq on our samples with a stranded prep to determine whether bidirectional transcription occurs of transposable elements following depletion of SETDB1 in THP-1 AML Cells Methods: THP-1 cells were treated with two different SETDB1 sgRNAs (6, and 9) or Non-targeting control sgRNA (NTC) for 4 and 7 days. RNA was isolated and prepared for RNAseq with Qiagen RNeasy kits. Results: Consensus sequences for elements for upregulated TEs were downloaded from the Dfam database (Hubley et al., 2016). Stranded RNA-seq data was then aligned to consensus sequences using BWA-MEM and quantified using HTseq-count(Anders et al., 2015; Li, 2013). Reads were visualized using the IGV genome browser, using a custom pseudogenome that was generated from the Dfam consensus sequences (Robinson et al., 2011; Thorvaldsdottir et al., 2013). Conclusions: Our data determined that following the disruption of SETDB1, there is increased bidirectional transcription over a subset of transposable elements.
Project description:Purpose: To determine how loss of SETDB1 effects gene expression in THP-1 AML cells. Methods: THP-1 cells were treated with two different SETDB1 sgRNAs (6, and 9) or Non-targeting control sgRNA (NTC) for 4 and 7 days. RNA was isolated and prepared for RNAseq with Qiagen RNeasy kits. Results: Using an optimized data analysis workflow, we mapped 23 million or more sequence reads per sample to the human genome (GRCh38) with GSNAP for obtaining standard gene expression measurements. Since SETDB1 is also know to regulate repetitive elements we also mapped sequences to a pseudogenome containing tranposable elements from hg19 repeatmasker annotations using RepEnrich and following the pipeline published on GitHub (https://github.com/nskvir/RepEnrich). Conclusions: Our data determined that immediately following the disruption of SETDB1, a strong type I Interferon response can be observed at day 4. In addition, many repetitive elements are also significanly induced, including L1 LINEs, Endogenous Retroviruses, and Satellite repeats.
Project description:In this study we identified the histone demethylase KDM4A as an essential and selective regulator of AML oncogenic potential. RNAseq was used to follow the changes in gene expression following KDM4A knockdown in MLL-AF9 human AML THP-1 cells
Project description:We performed RNAseq analysis of primary human osteoblasts co-cultured with the human THP-1 AML cell-line and, in parallel, RNAseq analysis on the THP-1 AML cells exposed to the human primary osteoblasts.
Project description:Epigenetic regulators play a critical role in normal and malignant hematopoiesis. We recently showed that the Histone 3 Lysine 9 (H3K9) methyltransferase SETDB1 negatively regulates the expression of the pro-leukemic genes HoxA9 and its cofactor Meis1 through deposition of promoter H3K9 trimethylation (H3K9me3) in MLL-AF9 AML cells. Here, we investigated the microbiological impact of altered SETDB1 expression in AML cells. We explored changes in transcription using RNA-seq, promoter associated histone modifications using ChIP-seq, and chromatin accessibility using ATAC-seq. Next generation sequencing of AML cells with or without overexpression of SETDB1 shows that high expression of SETDB1 induces repressive changes to the promoter epigenome and downregulation of genes linked with AML, including Dock1 and the MLL-AF9 target genes Hoxa9, Six1, and others. These data reveal novel targets of SETDB1 in AML that point to a role for SETDB1 in negatively regulating pro-leukemic target genes and suppressing AML.
Project description:In this study we identified the histone demethylase KDM4A as an essential and selective regulator of AML oncogenic potential. ChIPseq was used to identify KDM4A bound genes and follow changes in H3K9me2/3 and H3K27me3 following KDM4A knockdown in MLL-AF9 human AML THP-1 cells
Project description:Histone H3 lysine 9 dimethylation (H3K9me2) is a highly conserved silencing epigenetic mark. Chromatin marked with H3K9me2 forms large domains in mammalian cells and overlaps well with lamina-associated domains and the B compartment defined by Hi-C. However, the role of H3K9me2 in 3-dimensional (3D) genome organization remains unclear. We investigated genome-wide H3K9me2 distribution, transcriptome, and 3D genome organization in mouse embryonic stem cells following the inhibition or depletion of five H3K9 methyltransferases (MTases): G9a, GLP, SETDB1, SUV39H1, and SUV39H2. H3K9me2 was regulated by all five MTases; however, H3K9me2 and transcription in the A and B compartments were regulated by different MTases. H3K9me2 in A compartments was primarily regulated by G9a/GLP and SETDB1, while H3K9me2 in the B compartments was regulated by all five MTases. Furthermore, decreased H3K9me2 correlated with changes to the more active compartmental state that accompanied transcriptional activation.
Project description:We report analysis of transcriptional chanages following RNAi depletion of NR0B1 or NRF2 depletion in NSCLC cell lines as determined by RNAseq. Additionally we also determine the genomic location of NR0B1 in NSCLC lines by Chip-Seq.
Project description:To determine whether changes in histone modifications directly correlate with changes in transcription, THP1 AML cells were treated with a potent and selective LSD1 inhibitor (OG86) and then subjected to concomitant RNA sequencing (RNAseq) and ChIP sequencing (ChIPseq) for monomethyl-, dimethyl- and trimethyl histone H3 modifications.
