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The protocol of CUT&Tag for metabolic tissue cells.

Authors: Zi-Yin, Zhang; Yan-Ping, Zhou; Zhuo-Xian, Meng;

The protocol of CUT&Tag for metabolic tissue cells.

Abstract

Cleavage under target and tagment (CUT&Tag) is a technology that utilizes the fusion protein of Tn5 transposase and protein A/G which can guide Tn5 enzyme to the antibody bound to target protein and cleave the chromatin regions adjacent to target protein. Chromatin libraries are then tagged and sequenced by the high-throughput sequencing to obtain chromatin information at specific sites or protein binding locations. CUT&Tag technology plays an important role in the research of DNA and protein interactions. It can be used to understand the modifications of histone and the bindings of transcription factors. Compared with the traditional chromatin immunoprecipitation-sequencing (ChIP-seq) technology, the CUT&Tag has the strengths of high signal-to-noise ratio, good repeatability, short experimental period, and low cell input. It shows great advantages in early embryonic development, stem cells, cancer, epigenetics and other research fields. In this article, we described the protocol of CUT&Tag for metabolic tissue cells (mouse primary islet cells), to provide an epigenetic method for studying metabolic cells.

Related Organizations
Keywords

Histones, Mice, Chromatin Immunoprecipitation, Animals, High-Throughput Nucleotide Sequencing, Sequence Analysis, DNA, Chromatin

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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