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 tethers a protein A-Tn5 transposase fusion protein. Activation of the transposase efficiently generates fragment libraries with high resolution and exceptionally low background. All steps from live cells to sequencing-ready libraries can be performed in a single tube on the benchtop or a microwell in a high-throughput pipeline, and the entire procedure can be performed in one day. We demonstrate the utility of CUT&Tag by profiling histone modifications, RNA Polymerase II and transcription factors on low cell numbers and single cells. Understanding gene regulation will require mapping specific chromain features in a small number of cells at high resolution. Here the authors describe CUT&Tag, which uses antibody-mediated tethering of Tn5 transposase to a chromatin protein to generate high resolution libraries.

Keywords

Profiling (computer programming)EpigenomicsComputational biologyComputer scienceBiologyGeneticsDNA methylationGeneGene expression

MeSH Terms

ChromatinEpigenomicsGene Expression ProfilingGene Expression RegulationGenomic LibraryHigh-Throughput Nucleotide SequencingHistone CodeHistonesHumansK562 CellsRNA Polymerase IIRecombinant Fusion ProteinsSingle-Cell AnalysisStaining and LabelingStaphylococcal Protein ATranscription FactorsTransposases

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Publication Info

Year
2019
Type
article
Volume
10
Issue
1
Pages
1930-1930
Citations
1956
Access
Closed

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1956
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Cite This

Hatice S Kaya-Okur, Steven J. Wu, Christine A. Codomo et al. (2019). CUT&Tag for efficient epigenomic profiling of small samples and single cells. Nature Communications , 10 (1) , 1930-1930. https://doi.org/10.1038/s41467-019-09982-5

Identifiers

DOI
10.1038/s41467-019-09982-5
PMID
31036827
PMCID
PMC6488672

Data Quality

Data completeness: 90%