Understanding gene regulation requires a complete picture of chromatin structure, including both DNA methylation and chromatin protein binding. Traditional approaches like ChIP-seq and bisulfite sequencing are expensive, time-consuming, and require complex data integration. Moreover, these analyses cannot directly reveal how epigenetic features interact at the same loci.
CUTANA™ Multiomic CUT&RUN solves these problems by mapping chromatin proteins and DNA methylation together in a single reaction, capturing novel insights to drive biological discovery.
Why Choose Multiomic CUT&RUN?
Traditional multiomic DNA methylation approaches integrate chromatin immunoprecipitation sequencing (ChIP-seq) with whole-genome bisulfite sequencing (WGBS) datasets. However, these assays are cost-prohibitive for many labs, require large numbers of cells, and take weeks (or longer!) to complete. Moreover, simply overlaying ChIP-seq and WGBS datasets cannot directly capture how chromatin proteins and DNA methylation functionally interact at the same loci, limiting the biological insights that can be derived.
Multiomic CUT&RUN allows you to see the full picture of chromatin regulation with a single workflow!
CUTANA™ Multiomic CUT&RUN is the first workflow to enable simultaneous detection of DNA methylation and chromatin proteins in a single reaction.
Figure 1: The CUTANA™ Multiomic CUT&RUN workflow can be divided into 3 easy steps. In Step 1, CUT&RUN is used to enrich target-bound chromatin. Only 5,000-500,000 cells per reaction is needed. In Step 2, Enzymatic Methyl-seq (EM-seq) is performed, which converts unmethylated cytosines to uracils for base-pair resolution DNA methylation analysis. Note that bisulfite conversion may also be used. Step 3 is next-generation sequencing and data analysis. Only 30-50 M total reads are needed for robust multiomic analysis of target protein and underlying DNA methylation.
Powered by CUT&RUN technology, this approach provides base-pair resolution of CpG methylation at transcription factor binding sites, histone PTMs, and chromatin-modifying enzymes (Figure 2).
Key observations:
Figure 2: Representative CUTANA™ Multiomic CUT&RUN data showing base-pair resolution CpG methylation at chromatin targets. Each reaction used 500,000 K562 cells. Target chromatin was enriched with the CUTANA Multiomic CUT&RUN Workflow, followed by Enzymatic Methyl-seq (EM-seq) conversion and library prep.
Do more with less—sample, time, and budget. Extract maximum data from minimal input, reducing both sequencing needs and experimental complexity.
Multiomic CUT&RUN is compatible with various cell lines and sample types (Figure 3), and requires just 30-50 M total sequencing reads, making it ideal for studying:
Figure 3: Multiomic CUT&RUN with EM-seq conversion (CUT&RUN-EM) reveals levels of CpG methylation associated with distinct chromatin proteins, across various cells lines.
Black dots represent replicates.
We have everything you need to get started with Multiomic CUT&RUN:
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