BANCseq for determination of genome-wide apparent transcription factor binding affinities [CUT&Run]
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ABSTRACT:
PROVIDER: PRJNA796587 | ENA |
REPOSITORIES: ENA
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Project description:In vivo transcription factor binding is regulated by DNA sequence and chromatin features. However, the impact of chromatin context on genome-wide transcription factor binding affinities have not yet been characterized. Here we report the establishment of a quantitative protein-DNA binding assay to determine genome-wide binding affinities to native chromatinized DNA. We use this method to quantify apparent genome-wide binding affinities of both pioneering and non-pioneering transcription factors to uncover the regulatory role of chromatin on transcription factor binding. This revealed that DNA accessibility is the main determinant of transcription factor binding, which restricts nanomolar binding of non-pioneering factors to promoters. DNA binding motifs only appear to be important for very high-affinity binding, but are not essential for nanomolar binding. We uncover numerous biological processes enriched at specific binding affinities, suggesting they are regulated at defined transcription factor concentrations. Importantly, our method adds a new quantitative layer of transcription factor biology, enabling stratification of genomic targets based on transcription factor expression and prediction of transcription factor binding sites under non-physiological conditions, such as disease associated elevated expression of (onco)genes.
2023-02-09 | GSE193553 | GEO
Project description:BANCseq for determination of genome-wide apparent transcription factor binding affinities
| PRJNA906616 | ENA
Project description:This SuperSeries is composed of the SubSeries listed below. In vivo transcription factor binding is regulated by DNA sequence and chromatin features. However, the impact of chromatin context on genome-wide transcription factor binding affinities have not yet been characterized. Here we report the establishment of a quantitative protein-DNA binding assay to determine genome-wide binding affinities to native chromatinized DNA. We use this method to quantify apparent genome-wide binding affinities of both pioneering and non-pioneering transcription factors to uncover the regulatory role of chromatin on transcription factor binding. This revealed that DNA accessibility is the main determinant of transcription factor binding, which restricts nanomolar binding of non-pioneering factors to promoters. DNA binding motifs only appear to be important for very high-affinity binding, but are not essential for nanomolar binding. We uncover numerous biological processes enriched at specific binding affinities, suggesting they are regulated at defined transcription factor concentrations. Importantly, our method adds a new quantitative layer of transcription factor biology, enabling stratification of genomic targets based on transcription factor expression and prediction of transcription factor binding sites under non-physiological conditions, such as disease associated elevated expression of (onco)genes.
2023-02-09 | GSE219035 | GEO
Project description:BANCseq for determination of genome-wide apparent transcription factor binding affinities [ATAC-Seq]
| PRJNA906619 | ENA
Project description:In vivo transcription factor binding is regulated by DNA sequence and chromatin features. However, the impact of chromatin context on genome-wide transcription factor binding affinities have not yet been characterized. Here we report the establishment of a quantitative protein-DNA binding assay to determine genome-wide binding affinities to native chromatinized DNA. We use this method to quantify apparent genome-wide binding affinities of both pioneering and non-pioneering transcription factors to uncover the regulatory role of chromatin on transcription factor binding. This revealed that DNA accessibility is the main determinant of transcription factor binding, which restricts nanomolar binding of non-pioneering factors to promoters. DNA binding motifs only appear to be important for very high-affinity binding, but are not essential for nanomolar binding. We uncover numerous biological processes enriched at specific binding affinities, suggesting they are regulated at defined transcription factor concentrations. Importantly, our method adds a new quantitative layer of transcription factor biology, enabling stratification of genomic targets based on transcription factor expression and prediction of transcription factor binding sites under non-physiological conditions, such as disease associated elevated expression of (onco)genes.
2023-02-09 | GSE219034 | GEO
Project description:SOX6 CUT&RUN on HUDEP1 over expressing SOX6-Flag. The experiment is done using and anti Flag Ab to assist the genome wide binding profile of SOX6 in HUDEP1 (Human Umbilical cord blood-Derived Erythroid Progenitor-1).
2023-04-07 | E-MTAB-12800 | biostudies-arrayexpress
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.
2021-06-17 | GSE178343 | GEO
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.
2023-12-31 | GSE192496 | GEO
Project description:Enrichment of DPPA2 was assessed by CUT&RUN-sequencing in wildtype Esg1-tdTomato reporter mESC line.
2021-11-23 | E-MTAB-11182 | biostudies-arrayexpress