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Characterization of sequence determinants of enhancer function using natural genetic variation [CUT&RUN]

ABSTRACT: Characterization of sequence determinants of enhancer function using natural genetic variation [CUT&RUN]

PROVIDER: PRJNA794733 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR17446900_1.fastq.gz	Fastqsanger.gz
	SRR17446900_2.fastq.gz	Fastqsanger.gz
	SRR17446901_1.fastq.gz	Fastqsanger.gz
	SRR17446901_2.fastq.gz	Fastqsanger.gz
	SRR17446902_1.fastq.gz	Fastqsanger.gz

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Characterization of sequence determinants of enhancer function using natural genetic variation [CUT&RUN]

Project description:Sequence variation in enhancers, a class of cis-regulatory elements that control cell type-specific gene transcription, contributes significantly to phenotypic variation within human populations. Enhancers are short DNA sequences (∼200 bp) composed of multiple binding sites (4-10 bp) for transcription factors (TFs). The transcriptional regulatory activity of an enhancer is encoded by the type, number, and distribution of TF binding sites that it contains. However, the sequence determinants of TF binding to enhancers and the relationship between TF binding and enhancer activity are complex, and thus it remains difficult to predict the effect of any given sequence variant on enhancer function. Here, we generate allele-specific maps of TF binding and enhancer activity in fibroblasts from a panel of F1-hybrid mice that have a high frequency of sequence variants. We identified thousands of enhancers that exhibit differences in TF binding and/or activity between alleles and use these data to define features of sequence variants that are most likely to impact enhancer function. Our data demonstrate a critical role for AP-1 TFs at many fibroblast enhancers, reveal a hierarchical relationship between AP-1 and TEAD TF binding at enhancers, and delineate the nature of sequence variants that contribute to AP-1 TF binding. These data represent one of the most comprehensive assessments to date of the impact of sequence variation on enhancer function in chromatin, with implications for identifying functional cis-regulatory variation in human populations.

2022-01-17 | GSE193078 | GEO

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Characterization of sequence determinants of enhancer function using natural genetic variation

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2023-04-07 | E-MTAB-12800 | biostudies-arrayexpress

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Identification of chromatin states during zebrafish gastrulation using CUT&RUN and CUT&Tag

Project description:Here we describe successful implementation of CUT&RUN for profiling protein-DNA interactions in zebrafish embryos. We apply modified a CUT&RUN method to generate high resolution maps of enrichment for H3K4me3, H3K27me3, H3K9me3, and RNA polymerase II during zebrafish gastrulation. Using this data, we identify a conserved subset of developmental genes that are enriched in both H3K4me3 and H3K27me3 during gastrulation, and we demonstrate the increased effectiveness of CUT&RUN for detecting protein enrichment at repetitive sequences with reduced mappability. Our work demonstrates the power of combining CUT&RUN with the strengths of the zebrafish system to better understand the changing embryonic chromatin landscape and its roles in shaping development.

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CUT&RUN analysis for NOP16-mediated H3K27me3 alteration in MDA-MB231 cells [CUT&RUN-seq]

Project description:The goal of CUT&RUN-seq is to identify the global alteration of H3K27me3 levels by NOP16 overexpression or deletion in triple negative breast cancer cell line MDA-MB231 cells. Three (or Two) biological replicates were assigned for each group and in total 6 groups were prepared for these CUT&RUN-seq libraries. We mapped about 20 million reads per sample to hg38 human reference genome, and counted and normalized each reads number and identified H3K27me3 distribution.

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Project description:CUT&RUN LoV-U was performed against SMAD4 using two different antibodies in M170117 human melanoma cells under 4 conditions: Control (DMSO), TGFb, MEKi and TGFb + MEKi (Both).

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