2019
DOI: 10.1038/s41467-019-09982-5
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CUT&Tag for efficient epigenomic profiling of small samples and single cells

Abstract: Many chromatin features play critical roles in regulating gene expression. A complete understanding of gene regulation will require the mapping of specific chromatin features in small samples of cells at high resolution. Here we describe Cleavage Under Targets and Tagmentation (CUT&Tag), an enzyme-tethering strategy that provides efficient high-resolution sequencing libraries for profiling diverse chromatin components. In CUT&Tag, a chromatin protein is bound in situ by a specific antibody, which then … Show more

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Cited by 1,450 publications
(1,197 citation statements)
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References 32 publications
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“…In addition to profiling in single cells, factor binding was profiled in individual early blastocysts (consisting of between 30-50 cells each), an application not previously possible using ChIP-based techniques. More recently, Cleavage Under Targets and Tagmentation, or CUT&Tag, was developed as a modification on CUT&RUN that uses a recombinant Protein A-Tn5 transposase fusion instead of a recombinant pA-MNase fusion protein (Kaya-Okur et al 2019). CUT&Tag has been used to profile histone modifications in single cells, although it has not yet been used to profile transcription factor binding in single cells (Kaya-Okur et al 2019).…”
Section: Cutandrunmentioning
confidence: 99%
See 1 more Smart Citation
“…In addition to profiling in single cells, factor binding was profiled in individual early blastocysts (consisting of between 30-50 cells each), an application not previously possible using ChIP-based techniques. More recently, Cleavage Under Targets and Tagmentation, or CUT&Tag, was developed as a modification on CUT&RUN that uses a recombinant Protein A-Tn5 transposase fusion instead of a recombinant pA-MNase fusion protein (Kaya-Okur et al 2019). CUT&Tag has been used to profile histone modifications in single cells, although it has not yet been used to profile transcription factor binding in single cells (Kaya-Okur et al 2019).…”
Section: Cutandrunmentioning
confidence: 99%
“…More recently, Cleavage Under Targets and Tagmentation, or CUT&Tag, was developed as a modification on CUT&RUN that uses a recombinant Protein A-Tn5 transposase fusion instead of a recombinant pA-MNase fusion protein (Kaya-Okur et al 2019). CUT&Tag has been used to profile histone modifications in single cells, although it has not yet been used to profile transcription factor binding in single cells (Kaya-Okur et al 2019). In addition to CUT&Tag, a similar single-cell modification of ChIC, scChIC-seq, which involves tethering of MNase to a specific antibody and cleavage of target sites using the antibody to direct the MNase, then selectively amplifying cleaved fragments by PCR was developed (Ku et al 2019).…”
Section: Cutandrunmentioning
confidence: 99%
“…Thus, when applied to tissues composed of diverse cell types, these methods can suffer from a low signal to noise ratio. This issue can potentially be overcome by single‐cell approaches, which have been developed for many of the genome‐wide methods described above, including ChIP‐seq (Rotem et al, ), CUT&RUN (Hainer, Bošković, McCannell, Rando, & Fazzio, ), CUT&TAG (Kaya‐okur et al, ), DNase‐seq (W. Jin et al, ), MNase‐seq (Lai et al, ), ATAC‐seq (Buenrostro et al, ; DeWitt et al, ), and Hi‐C (Nagano et al, ). Although highly scalable, at present the single‐cell versions of these methods yield sparse, low‐coverage data that are difficult to analyze using conventional approaches (Ji, Zhou, & Ji, ; Schep, Wu, Buenrostro, & Greenleaf, ).…”
Section: Genome‐wide Methodsologies To Identify Putative Enhancersmentioning
confidence: 99%
“…Cleavage under targets and tagmentation (CUT&Tag) is another technology that can detect DNA-protein interaction in low cellular input samples or even single cells [32]. Instead of Protein A/G-fused MNase, CUT&-Tag applies Protein A/G-fused Tn5 transposase (pA/G-Tn5) to cut DNA, demanding high-quality core enzyme.…”
Section: Lowering Cellular Inputmentioning
confidence: 99%