ChIP-nexus: a novel ChIP-exo protocol for improved detection of in vivo transcription factor binding footprints
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ABSTRACT:
PROVIDER: PRJNA239257 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR1175700.fastq.gz | Fastqsanger.gz | |||
| SRR1175701.fastq.gz | Fastqsanger.gz | |||
| SRR1175702.fastq.gz | Fastqsanger.gz | |||
| SRR1175703.fastq.gz | Fastqsanger.gz | |||
| SRR1175698.fastq.gz | Fastqsanger.gz |
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Project description:Understanding how eukaryotic enhancers are bound and regulated by specific combinations of transcription factors is still a major challenge. To better map transcription factor binding genome-wide at nucleotide resolution in vivo, we have developed a robust ChIP-exo protocol called ChIP-nexus (chromatin immunoprecipitation experiments with nucleotide resolution through exonuclease, unique barcode and single ligation), which utilizes an efficient DNA self-circularization step during library preparation. Application of ChIP-nexus to four proteins—human TBP, Drosophila NFkB, Twist and Max—showed that it outperformed existing ChIP protocols in resolution and specificity, pinpointed relevant binding sites within enhancers containing multiple binding motifs, and allowed for the analysis of in vivo binding specificities. Notably, we show that Max frequently interacted with DNA sequences next to its motif, and that this binding pattern correlated with local DNA-sequence features such as DNA shape. ChIP-nexus will be broadly applicable to the study of in vivo transcription factor binding specificity and its relationship to cis-regulatory changes in humans and model organisms.
2014-12-02 | GSE55306 | GEO
Project description:ChIP-exo/nexus experiments present modifications on the commonly used ChIP-seq protocol for high resolution mapping of transcription factor binding sites. Although many aspects of the ChIP-exo data analysis are similar to those of ChIP-seq, these high throughput experiments pose a number of unique quality control and analysis challenges. We develop a statistical quality control pipeline and accompanying R package, ChIPexoQual, to enable exploration and analysis of ChIP-exo and related experiments. ChIPexoQual evaluates a number of key issues including strand imbalance, library complexity, and signal enrichment of data. Assessment of these features are facilitated through diagnostic plots and summary statistics calculated over regions of the genome with varying levels of coverage. We evaluated our QC pipeline with both large collections of public ChIP-exo/nexus data and multiple, new ChIP-exo datasets from E. coli. ChIPexoQual analysis of these datasets resulted in guidelines for using these QC metrics across a wide range of sequencing depths and provided further insights for modelling ChIP-exo data. Finally, although ChIP-exo experiments have been compared to ChIP-seq experiments with single-end (SE) sequencing, we provide, for the first time, comparisons with paired-end (PE) ChIP-seq experiments. We illustrate that, at fixed sequencing depths, ChIP-exo provides higher sensitivity, specificity, and spatial resolution than PE ChIP-seq and both significantly outperform their SE ChIP-seq counterpart.
2017-03-01 | GSE84830 | GEO
Project description:Understanding how eukaryotic enhancers are bound and regulated by specific combinations of transcription factors is still a major challenge. To better map transcription factor binding genome-wide at nucleotide resolution in vivo, we have developed a robust ChIP-exo protocol called ChIP-nexus (chromatin immunoprecipitation experiments with nucleotide resolution through exonuclease, unique barcode and single ligation), which utilizes an efficient DNA self-circularization step during library preparation. Application of ChIP-nexus to four proteins--human TBP and Drosophila NFkB, Twist and Max--shows that it outperforms existing ChIP protocols in resolution and specificity, pinpoints relevant binding sites within enhancers containing multiple binding motifs, and allows for the analysis of in vivo binding specificities. Notably, we show that Max frequently interacts with DNA sequences next to its motif, and that this binding pattern correlates with local DNA-sequence features such as DNA shape. ChIP-nexus will be broadly applicable to the study of in vivo transcription factor binding specificity and its relationship to cis-regulatory changes in humans and model organisms.
| S-EPMC4390430 | biostudies-literature
Project description:Chromatin immunoprecipitation followed by deep sequencing (ChIP-seq) and its ultra-high resolution cousin ChIP-exo are methods that identify where proteins bind along any genome in vivo. ChIP-exo achieves near-base pair resolution by creating exonuclease stop sites just 5’ to where formaldehyde-induced protein-DNA cross-links occur. Whereas construction of ChIP genomic libraries is straightforward and widely adopted for ChIP-seq, ChIP-exo is technically more involved which has resulted in limited adoption. Here we describe multiple ChIP-exo protocols, each with use-specific advantages and limitations. The new versions are greatly simplified through removal of multiple enzymatic steps. This is achieved in part through the use of Tn5 tagmentation and/or single-stranded DNA ligation. The result is greater library yields, lower processing time, and lower cost. A similar streamlined approach was developed for ChIP-seq, called ChIP-seq 1-step, where library construction is achieved in one-step.
2018-08-17 | GSE110681 | GEO
Project description:Chromatin immunoprecipitation followed by deep sequencing (ChIP-seq) and its ultra-high resolution cousin ChIP-exo are methods that identify where proteins bind along any genome in vivo. ChIP-exo achieves near-base pair resolution by creating exonuclease stop sites just 5’ to where formaldehyde-induced protein-DNA cross-links occur. Whereas construction of ChIP genomic libraries is straightforward and widely adopted for ChIP-seq, ChIP-exo is technically more involved which has resulted in limited adoption. Here we describe multiple ChIP-exo protocols, each with use-specific advantages and limitations. The new versions are greatly simplified through removal of multiple enzymatic steps. This is achieved in part through the use of Tn5 tagmentation and/or single-stranded DNA ligation. The result is greater library yields, lower processing time, and lower cost. A similar streamlined approach was developed for ChIP-seq, called ChIP-seq 1-step, where library construction is achieved in one-step.
2018-08-17 | GSE114606 | GEO
Project description:To uncover exon junction complex (EJC) deposition sites on cellular mRNAs, RNA footprints of EJC immuo-purified from HEK293 cells were deep sequenced. The analysis of these data revealed that major “canonical” EJC occupancy site in vivo lies 24 nucleotides upstream of exon junctions (-24 position) and that the majority of exon junctions carry an EJC. Unexpectedly, we find that many sites further upstream of -24 position are also enriched in these EJC footprints. These "non-canonical" sites are binding sites of EJC-interacting proteins with a subset being occupied by SR proteins. Thus, an EJC-SR protein nexus exists within spliced mRNPs and is revealed here. Deep sequencing based profiling of EJC RNA footprints obtained by tandem RNA immunoprecipitation (RIPiT) of RNase I digested RNA:protein complexes.
2012-10-18 | E-GEOD-41154 | biostudies-arrayexpress
Project description:Regulatory proteins associate with the genome either by directly binding cognate DNA motifs or via protein-protein interactions with other regulators. Each genomic recruitment mechanism may be associated with distinct motifs, and may also result in distinct characteristic patterns in high-resolution protein-DNA binding assays. For example, the ChIP-exo protocol precisely characterizes protein-DNA crosslinking patterns by combining chromatin immunoprecipitation (ChIP) with 5’ to 3’ exonuclease digestion. Since different regulatory complexes will result in different protein-DNA crosslinking signatures, analysis of ChIP-exo sequencing tag patterns should enable detection of multiple protein-DNA binding modes for a given regulatory protein. However, current ChIP-exo analysis methods either treat all binding events as being of a uniform type, or rely on the presence of DNA motifs to cluster binding events into subtypes. To systematically detect multiple protein-DNA interaction modes in a single ChIP-exo experiment, we introduce the ChIP-exo mixture model (ChExMix). ChExMix probabilistically models the genomic locations and subtype membership of protein-DNA binding events using both ChIP-exo tag enrichment patterns and DNA sequence information, thus offering a principled and robust approach to characterizing binding subtypes in ChIP-exo data. We demonstrate that ChExMix achieves accurate detection and classification of binding event subtypes using in silico mixed ChIP-exo data. We further demonstrate the unique analysis abilities of ChExMix using a collection of ChIP-exo experiments that profile the binding of key transcription factors in MCF-7 cells. In these data, ChExMix detects cooperative binding interactions between FoxA1, ERalpha, and CTCF, thus demonstrating that ChExMix can effectively stratify ChIP-exo binding events into biologically meaningful subtypes.
2018-02-13 | GSE110502 | GEO
Project description:Mapping ONECUT1 TF binding with ChIP-exo
| PRJEB4933 | ENA