CUT&Tag Insights

What is CUT&Tag?

CUT&Tag (Cleavage Under Targets & Tagmentation) is an epigenetic profiling method used to map DNA-protein interactions genome-wide. It uses an antibody to target a protein of interest, followed by tagmentation (cleavage and integration of sequencing adapters) by a Tn5 transposase loaded with sequencing adapters, directly at the antibody-bound site. This targeted tagmentation minimizes background and improves resolution compared to ChIP-seq. CUT&Tag is commonly used to map transcription factor binding sites, histone modifications, and other chromatin-associated proteins.

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What other technologies are related to CUT&Tag?

CUT&Tag Competitor Technologies

CUT&RUN

CUT&RUN is another chromatin profiling method that, like CUT&Tag, uses antibody-targeted nuclease cleavage. They are direct competitors for mapping protein-DNA interactions.

mentioned alongside CUT&Tag in 21% (90) of relevant job posts

ChIP-seq

ChIP-seq is a widely used method for mapping protein-DNA interactions. It is a competitor to CUT&Tag as they both aim to achieve a similar goal, although with different methodologies.

mentioned alongside CUT&Tag in 6% (141) of relevant job posts

CUT&Tag Complementary Technologies

ATAC-seq

ATAC-seq maps chromatin accessibility, which can provide complementary information to CUT&Tag data (which maps protein-DNA interactions). Combining ATAC-seq and CUT&Tag can give a more comprehensive view of chromatin structure and regulation.

mentioned alongside CUT&Tag in 6% (122) of relevant job posts

Hi-C

Hi-C is a technique used to study the 3D structure of the genome. It can provide complementary information about the spatial organization of chromatin to CUT&Tag data, which maps protein-DNA interactions at specific sites.

mentioned alongside CUT&Tag in 11% (55) of relevant job posts

RNA-seq

RNA-seq measures gene expression levels. Integrating RNA-seq data with CUT&Tag data can help to understand how protein-DNA interactions influence gene expression.

mentioned alongside CUT&Tag in 2% (110) of relevant job posts