Future Directions of CUT&Tag Sequencing: Multi-omics Integration and Automation

CUT&Tag sequencing, as a powerful technology, has become an important tool for studying the epigenome, providing in-depth insights into the spatial and functional organization of chromatin. By combining targeted DNA accessibility assays with next-generation sequencing (NGS), CUT&Tag offers a high-resolution view of protein-DNA interactions. As the field continues to evolve, the future direction of CUT&Tag technology will increasingly focus on two key aspects: multi-omics integration and automation. These developments promise to enhance our understanding of complex biological systems and improve experimental efficiency.

1. Multi-omics Integration: From Single Markers to Panoramic Analysis

CUT&Tag technology is advancing from analyzing individual protein modifications or transcription factors toward integrating multi-dimensional epigenetic data. For instance, Spatial CUT&Tag–RNA-seq enables simultaneous profiling of histone modifications (e.g., H3K27me3, H3K4me3, H3K27ac) and gene expression (RNA) within the same tissue section on a spatial omics platform, revealing spatiotemporal dynamics in gene regulation. Furthermore, single-cell multi-omics approaches such as scNano-CUT&Tag, when combined with long-read sequencing, allow precise detection of chromatin modifications even in complex genomic regions—including repetitive sequences and structurally variable regions—and support allele-specific regulatory analysis. Looking ahead, CUT&Tag may be integrated with metabolomics and proteomics to construct a multidimensional “epigenetic-transcriptional-metabolic” regulatory network, thereby advancing the development of precision medicine.

For example, Zhang D's spatial ATAC–RNA-seq and spatial CUT&Tag–RNA-seq technologies enable genome-wide co-spectral analysis of the epigenome (chromatin accessibility/histone modifications) and transcriptome on tissue sections. This reveals the spatiotemporal correlations between histone modifications and gene expression (e.g., positive correlation between H3K27me3 repression waves and activation markers), region-specific regulation, and the spatial distribution of cell types/states, providing a new "spatial multi-omics" paradigm for understanding gene regulation in development, neuroscience, and disease.
Spatial CUT&Tag–RNA-seq: Using antibodies targeting histone modifications (H3K27me3 inhibition, H3K27ac activation, H3K4me3 active promoter) combined with the Protein A-Tn5 complex, histone modification sites are labeled via CUT&Tag, yielding a comprehensive histone modification panorama plus transcriptome data.
Unbiased Genome-Wide Co-spectroscopy: For the first time, whole-genome joint analysis of the epigenome (ATAC/histone modifications) and transcriptome is achieved on the same tissue section. Data quality (fragment distribution, reproducibility) is comparable to single-modality techniques (e.g., spatial ATAC–RNA-seq reproducibility r=0.98, spatial CUT&Tag–RNA-seq H3K27ac reproducibility r=0.96).
High resolution and wide coverage: Supports 20-50 μm (containing 1-25 cells/pixel), 100×100 barcodes can cover mouse brain hemispheres (10,000 pixels), and the serpentine channel design can process 5 samples simultaneously.

Spatial CUT and Tag–RNA-seq analysis of postpartum mouse brain. Spatial CUT&Tag–RNA-seq analysis of postpartum mouse brain ( Zhang D et al.,2023)

2. Automation Technology: From Manual Operation to High-Throughput Automated Lines

Automation is a core breakthrough for the large-scale application of CUT&Tag technology. Currently, magnetic bead immobilization platforms (such as Protein A/G magnetic beads) have standardized antibody incubation and washing steps, shortening the experimental cycle to within 6 hours and significantly reducing batch-to-batch variability.

Reportedly, companies have developed automated liquid handling systems that support 96-channel parallel library construction, are compatible with multi-sample barcode strategies, and meet the needs of clinical cohort studies.

Furthermore, the introduction of microfluidic chips further optimizes reaction volumes (nano-liter levels), reducing reagent waste and improving sensitivity.

For example, Building on the high efficiency and low background inherent to CUT&Tag, Janssens DH et al. developed a fully automated version termed AutoCUT&Tag—an upgrade from the earlier AutoCUT&RUN platform. This system is compatible with 96-well plate robotic processing and requires only a few thousand cells to perform high-throughput profiling of genome-wide histone modifications (e.g., H3K4me3, H3K27me3, H3K27ac) and RNA polymerase II. The data quality achieved is comparable to that of manual CUT&Tag (reproducibility r = 0.79 ± 0.093), making the platform well-suited for clinical patient samples.

Using AutoCUT&Tag, the team demonstrated that the KMT2A fusion protein in leukemia binds predominantly to active chromatin regions (genome-wide enrichment) and that its target promoters often exhibit bivalent chromatin marks (H3K4me3 + H3K27me3). Single-cell analysis further revealed intercellular heterogeneity reflective of lineage plasticity. Moreover, the researchers identified samples sensitive to DOT1L/Menin inhibitors based on target enrichment patterns, which target the aberrant H3K79 methylation and transcription complex associated with KMT2Ar, offering a functional basis for leukemia subtyping and targeted treatment strategies.

AutoCUT and Tag profiling reveals therapeutic sensitivity of KMT2Ar leukemia samples to DOT1L inhibition. AutoCUT&Tag profiling reveals therapeutic sensitivity of KMT2Ar leukemia samples to DOT1L inhibition (Janssens DH et al., 2021)

In the future, robot-assisted, fully automated platforms (from sample processing to data analysis) will drive CUT&Tag into routine laboratories.

3. Clinical Applications: From Basic Research to Precision Medicine

CUT&Tag demonstrates significant potential in clinical translation:

Tumor Subtyping and Drug Resistance Monitoring: By detecting modifications such as H3K27ac in circulating tumor cells (CTCs), chemotherapy response can be predicted and targeted therapy can be guided. For example, CUT&Tag revealed the epigenetic regulatory mechanism of H3K18la in PDAC: H3K18la is enriched in the promoter regions of target genes such as TTK/BUB1B, directly activating their transcription and driving PDAC progression (further studies have found that TTK/BUB1B enhances glycolysis and H3K18la levels through a positive feedback loop).
Dynamic Process Tracking: Combining the real-time readout characteristics of nanopore sequencing, CUT&Tag can continuously monitor the dynamic fluctuations of chromatin modifications in the same cell population (such as 6-hour changes in H3K27ac), revealing the formation mechanism of epigenetic memory.
- Example: Bartosovic M et al. developed nano-CUT&Tag (nano-CT), a technique that employs a nanobody-Tn5 fusion protein to bind directly to primary antibodies—eliminating the need for secondary antibodies—and thereby simplifies the workflow by reducing washing steps and experimental time, while minimizing sample loss, which increases effective nuclear recovery by 28%–68%. The method supports low‑input samples (25,000–200,000 cells) and enables simultaneous multimodal profiling, such as chromatin accessibility (ATAC), the active mark H3K27ac, and the repressive mark H3K27me3.
- Compared to conventional scCUT&Tag, nano-CT yields significantly more unique fragments per cell. For example, in mouse P19 brain samples, the median number of nano-CT fragments per cell reached 3,720—15.8 times higher than that obtained with scCUT&Tag. Nano-CT also demonstrates improved signal-to-noise characteristics, with a peak read ratio (FRiP) of 35.9%–52.4%, though this range differs from the 51.2%–69.9% observed with scCUT&Tag. Furthermore, the library‑construction PCR cycle number was reduced from 15 cycles to only 6 cycles.
- Applying nano-CT to oligodendrocyte lineage differentiation, the researchers revealed that H3K27me3-mediated repression occurs in two distinct phases: early repression of neuronal genes, followed later by repression of glial-related genes such as Sox5 and Sox6. This dynamic regulatory pattern could not be resolved by transcriptome analysis alone.

nano-CUT and Tag. nano-CUT&Tag (nano-CT) (Bartosovic M et al., 2023)

Rare sample analysis: Epigenomic analysis can be completed with only a small number of cells (such as a micro-tumor biopsy sample), providing support for rare clinical samples. For example, researchers have demonstrated that the breadth of chromatin features of CUT&Tag (e.g., hundreds of nucleosomes in the H3K27me3 domain) supports sparse sampling detection, and single-cell types (e.g., H1 and K562 cells) can be efficiently distinguished through genome-wide H3K27me3 enrichment patterns.

4. Standardized Workflow: From Experience-Driven to Data-Driven

Currently, CUT&Tag's experimental workflow still relies on manual optimization. In the future, a standardized system for the entire workflow needs to be established:

Quality Control Standards: Introduce Spike-in external parameters (such as E. coli genomic DNA) to calibrate sequencing depth, reducing cross-sample quantification error rate to below 8%.
Data Analysis Tools: Upgrade open-source workflows such as CUT&RUNTools 2.0, integrating HMM-based peak calling for broad marks and single-cell dimensionality reduction clustering modules, supporting one-click multi-omics integrated analysis.
Reproducibility Validation: Evaluate experimental stability using metrics such as IDR (Irreproducible Discovery Rate) and FRiP (Fraction of Reads in Peaks), and establish an antibody validation database (such as a ChIP-level antibody screening platform).

5. Technological Innovation: From Short Reads to Single-Molecular Long Reads

The combination of single-molecule long-read sequencing (SMS) and CUT&Tag is breaking through the technological bottlenecks of next-generation sequencing:

Complex Region Resolution: scNano-CUT&Tag technology, through single-molecule long-fragment capture, can accurately analyze H3K27me3 modifications in heterochromatin regions and distinguish single-copy differences in genomic repetitive elements.
Allele-Specific Analysis: Utilizing transposition events flanking heterozygous SNP sites, allele-specific modifications of X-chromosome inactivation-related XIST genes can be detected, providing a new tool for imprinted disease research.
Three-Dimensional Genome Reconstruction: Combined with Hi-C, it resolves the co-localization relationships between spatial chromatin interactions and epigenetic modifications, revealing dynamic changes in the three-dimensional genome.

Summary

The future development of CUT&Tag technology will revolve around four major directions: multi-omics integration, end-to-end automation, clinical precision application, and technological innovation. Through interdisciplinary collaboration and standardization, this technology is expected to become a core tool for analyzing gene regulatory networks and promoting disease diagnosis and treatment, and will open up new research paradigms in fields such as single-cell epigenomics and spatial multi-omics.