Similar Datasets
Project description:ATAC-seq, ChIP-seq and RNA-seq studies in myoblasts lacking Hira
| PRJNA675381 | ENA
Project description:The epigenetic mechanisms coordinating the maintenance of adult cellular lineages and the inhibition of alternative cell fates are poorly understood. Here we show that targeted ablation of the histone chaperone HIRA in myogenic cells leads to extensive transcriptional modifications consistent with a major role in maintaining skeletal muscle cellular identity. Conditional ablation of HIRA in muscle stem cells of adult mice compromised their capacity to regenerate and self-renew, leading to tissue repair failure. Epigenetic analysis of Hira-deficient cells showed a drastic reduction of histone variant H3.3 deposition and H3K27ac modification at regulatory regions of muscle genes. By contrast, genes from alternative lineages were ectopically expressed in Hira-mutant cells via MLL1/MLL2-mediated increase of H3K4me3 mark at silent promoter regions. Therefore, HIRA sustains the epigenetic landscape governing muscle cell lineage identity via incorporation of H3.3 at muscle gene regulatory regions, while preventing the expression of alternative lineage genes.
2021-05-03 | GSE161054 | GEO
Project description:The epigenetic mechanisms coordinating the maintenance of adult cellular lineages and the inhibition of alternative cell fates are poorly understood. Here we show that targeted ablation of the histone chaperone HIRA in myogenic cells leads to extensive transcriptional modifications consistent with a major role in maintaining skeletal muscle cellular identity. Conditional ablation of HIRA in muscle stem cells of adult mice compromised their capacity to regenerate and self-renew, leading to tissue repair failure. Epigenetic analysis of Hira-deficient cells showed a drastic reduction of histone variant H3.3 deposition and H3K27ac modification at regulatory regions of muscle genes. By contrast, genes from alternative lineages were ectopically expressed in Hira-mutant cells via MLL1/MLL2-mediated increase of H3K4me3 mark at silent promoter regions. Therefore, HIRA sustains the epigenetic landscape governing muscle cell lineage identity via incorporation of H3.3 at muscle gene regulatory regions, while preventing the expression of alternative lineage genes.
2021-05-03 | GSE161053 | GEO
Project description:This SuperSeries is composed of the SubSeries listed below.
2019-12-13 | GSE141966 | GEO
Project description:Changes in cellular chromatin states fine-tune transcriptional output and ultimately lead to phenotypic changes. Here we propose a novel application of our reproducibility-optimized test statistics (ROTS) to detect differential chromatin states (ATAC-seq) or differential chromatin modification states (ChIP-seq) between conditions. We compare the performance of ROTS to existing and widely used methods for ATAC-seq and ChIP-seq data using both synthetic and real datasets. Our results show that ROTS outperformed other commonly used methods when analyzing ATAC-seq data. ROTS also displayed the most accurate detection of small differences when modeling with synthetic data. We observed that two-step methods that require the use of a separate peak caller often more accurately called enrichment borders, whereas one-step methods without a separate peak calling step were more versatile in calling sub-peaks. The top ranked differential regions detected by the methods had marked correlation with transcriptional differences of the closest genes. Overall, our study provides evidence that ROTS is a useful addition to the available differential peak detection methods to study chromatin and performs especially well when applied to study differential chromatin states in ATAC-seq data.
| S-EPMC8253552 | biostudies-literature
Project description:This SuperSeries is composed of the SubSeries listed below.
2022-05-13 | GSE168332 | GEO
Project description:Genome-wide chromatin state in myoblasts lacking Hira [ChIP-seq]
| PRJNA675385 | ENA
Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
2015-11-03 | E-GEOD-73382 | biostudies-arrayexpress
Project description:Activation of regulatory elements is thought to be inversely correlated with DNA methylation levels. However, it is difficult to determine whether DNA methylation is compatible with chromatin accessibility or transcription factor (TF) binding if assays are performed separately. We developed a fast, low-input, low sequencing depth method, EpiMethylTag, that combines ATAC-seq or ChIP-seq (M-ATAC or M-ChIP) with bisulfite conversion, to simultaneously examine accessibility/TF binding and methylation on the same DNA. Here we demonstrate that EpiMethylTag can be used to study the functional interplay between chromatin accessibility and TF binding (CTCF and KLF4) at methylated sites.
| S-EPMC6868874 | biostudies-literature
Project description:Chromatin immunoprecipitation sequencing (ChIP-seq) and the Assay for Transposase-Accessible Chromatin with high-throughput sequencing (ATAC-seq) have become essential technologies to effectively measure protein-DNA interactions and chromatin accessibility. However, there is a need for a scalable and reproducible pipeline that incorporates proper normalization between samples, correction of copy number variations, and integration of new downstream analysis tools. Here we present Containerized Bioinformatics workflow for Reproducible ChIP/ATAC-seq Analysis (CoBRA), a modularized computational workflow which quantifies ChIP-seq and ATAC-seq peak regions and performs unsupervised and supervised analyses. CoBRA provides a comprehensive state-of-the-art ChIP-seq and ATAC-seq analysis pipeline that can be used by scientists with limited computational experience. This enables researchers to gain rapid insight into protein-DNA interactions and chromatin accessibility through sample clustering, differential peak calling, motif enrichment, comparison of sites to a reference database, and pathway analysis. CoBRA is publicly available online at https://bitbucket.org/cfce/cobra.
| S-EPMC9039557 | biostudies-literature