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An integrated CUT&RUN quality control workflow for histone modifications and transcription factors

ABSTRACT: An integrated CUT&RUN quality control workflow for histone modifications and transcription factors

PROVIDER: PRJNA722185 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR14243163_1.fastq.gz	Fastqsanger.gz
	SRR14243163_2.fastq.gz	Fastqsanger.gz
	SRR14243164_1.fastq.gz	Fastqsanger.gz
	SRR14243164_2.fastq.gz	Fastqsanger.gz
	SRR14243165_1.fastq.gz	Fastqsanger.gz

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An integrated CUT&RUN quality control workflow for histone modifications and transcription factors

Project description:Genome-wide analysis of H3K4me3 and Ikaros profiles in fresh or frozen mouse splenic B cells via CUT&RUN

2021-09-07 | GSE172130 | GEO

ssvQC: an integrated CUT&RUN quality control workflow for histone modifications and transcription factors.

Project description:ObjectiveAmong the different methods to profile the genome-wide patterns of transcription factor binding and histone modifications in cells and tissues, CUT&RUN has emerged as a more efficient approach that allows for a higher signal-to-noise ratio using fewer number of cells compared to ChIP-seq. The results from CUT&RUN and other related sequence enrichment assays requires comprehensive quality control (QC) and comparative analysis of data quality across replicates. While several computational tools currently exist for read mapping and analysis, a systematic reporting of data quality is lacking. Our aims were to (1) compare methods for using frozen versus fresh cells for CUT&RUN and (2) to develop an easy-to-use pipeline for assessing data quality.ResultsWe compared a workflow for CUT&RUN with fresh and frozen samples, and present an R package called ssvQC for quality control and comparison of data quality derived from CUT&RUN and other enrichment-based sequence data. Using ssvQC, we evaluate results from different CUT&RUN protocols for transcription factors and histone modifications from fresh and frozen tissue samples. Overall, this process facilitates evaluation of data quality across datasets and permits inspection of peak calling analysis, replicate analysis of different data types. The package ssvQC is readily available at https://github.com/FrietzeLabUVM/ssvQC .

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Genome-wide profiling of transcription factor-DNA binding interactions in Candida albicans: a comprehensive CUT&RUN method and data analysis workflow

Project description:Regulatory transcription factors control many important biological processes including cellular differentiation, responses to environmental perturbations and stresses, and host-pathogen interactions. Determining the genome-wide binding of regulatory transcription factors to DNA is essential to understanding the function of transcription factors in these often complex biological processes. Cleavage Under Targets and Release Using Nuclease (CUT&RUN) is a modern method for genome-wide mapping of in vivo protein-DNA binding interactions that is an attractive alternative to the traditional and widely used chromatin immunoprecipitation followed by sequencing (ChIP-seq) method. CUT&RUN is amenable to a higher throughput experimental setup and has a substantially higher dynamic range with lower per-sample sequencing costs compared to ChIP-seq. Here, we describe a comprehensive CUT&RUN protocol and accompanying data analysis workflow that is tailored for genome-wide analysis of transcription factor-DNA binding interactions in the human fungal pathogen Candida albicans. This detailed protocol describes all necessary experimental procedures, from epitope tagging of transcription factor coding genes, to library preparation for sequencing; additionally, it includes our customized computational workflow for CUT&RUN data analysis.

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Bulk Cut&run and Cut&tag

Project description:Bulk Cut&run and Cut&tag

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Global Profiling of Histone Modifications in Plasmodium falciparum using CUT&RUN.

Project description:Global Profiling of Histone Modifications in Plasmodium falciparum using CUT&RUN.

2022-08-01 | GSE210062 | GEO

Demonstration of CUT&RUN motif footprint analysis using key blood progenitor transcription factors

Project description:We introduce CUT&RUNTools (https://bitbucket.org/qzhudfci/cutruntools/) as a flexible, general pipeline for facilitating the identification of chromatin-associated protein binding and genomic footprinting analysis from antibody-targeted CUT&RUN primary cleavage data. CUT&RUNTools extracts endonuclease cut site information from sequences of short read fragments and produces single-locus binding estimates, aggregate motif footprints, and informative visualizations to support the high-resolution mapping capability of CUT&RUN. We illustrate the functionality of CUT&RUNTools through analysis of CUT&RUN data acquired for GATA1, a master regulator in erythroid lineage cells. Results were compared initially to published GATA1 ChIP-seq data for cells under the same conditions. We performed de novo analysis of CUT&RUN peaks to retrieve not only GATA1’s primary motif, but also the GATA1-TAL1 composite motif, and co-factor motifs GCCCCGCCTC, CMCDCCC, and RTGASTCA that correspond to SP1, KLF1, and NFE2 co-factors. Cofactor binding was verified by independent TAL1 and KLF1 CUT&RUN, and other ChIP-seq experiments. CUT&RUNTools also generated base-pair resolution motif footprint for sequence-specific binding factors, and located likely direct binding sites by quantifying log-odds of binding scores. Overall, CUT&RUNTools should enable biologists to realize advantages of cleavage data provided by CUT&RUN, and make high-quality footprinting analysis accessible to a broad audience.

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Project description:In our attempts to profile different regulators of the WNT/b-catenin transcriptional complex, CUT&RUN failed to produce consistent binding patterns of the non-DNA-binding b-catenin. We developed a modified CUT&RUN protocol, which we refer to as LoV-U (Low Volume and Urea), that enables the generation of robust and reproducible b-catenin binding profiles. CUT&RUN-LoV-U can profile all classes of chromatin regulators tested, as shown by datasets targeting the TCF/LEF transcription factors and various histone modifications. CUT&RUN-LoV-U uncovers direct WNT/β-catenin target genes in human cells, as well as in ex vivo cells isolated from developing mouse tissue.

2022-07-16 | E-MTAB-11951 | biostudies-arrayexpress

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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