Spatial CUT&Tag Service
Histone modifications and transcription factor binding define the regulatory landscape of every cell — yet traditional CUT&Tag and ChIP-seq methods destroy tissue architecture, losing the spatial context of where these epigenetic marks operate. CD Genomics delivers an end-to-end spatial CUT&Tag service that maps histone modifications, transcription factor binding, and chromatin states across intact tissue sections at cellular resolution. From antibody-guided in situ tagmentation through spatial barcoding, sequencing, and comprehensive bioinformatics, our service reveals the spatially resolved regulatory landscape that drives tissue organization, development, and disease.
- Spatially resolved profiling of histone modifications (H3K27ac, H3K4me3, H3K27me3, H3K9me3, and more) and transcription factor binding across intact tissue sections
- Antibody-directed Tn5 tagmentation — higher sensitivity and lower background than ChIP-seq, with spatial coordinates preserved
- Microfluidic deterministic barcoding for pixel-level spatial resolution with genome-wide coverage
- Publication-ready bioinformatics: spatial peak calling, enrichment pattern mapping, differential modification analysis, and multi-omics integration
Spatial CUT&Tag — Technology Overview
Technology Principle
Cleavage Under Targets and Tagmentation (CUT&Tag) is an antibody-directed epigenomic profiling method that offers higher sensitivity and lower background than traditional ChIP-seq. In standard CUT&Tag, a primary antibody binds to the target histone modification or transcription factor in permeabilized cells or nuclei. A secondary antibody then recruits a protein A-Tn5 (pA-Tn5) transposase fusion protein, which is activated by magnesium ions to cleave and tag genomic DNA specifically at antibody-bound loci. Because tagmentation occurs only at antibody-targeted sites — rather than across all open chromatin as in ATAC-seq — CUT&Tag achieves targeted, high-sensitivity epigenomic profiling with minimal input material.
Spatial CUT&Tag extends this approach to intact tissue sections. Instead of dissociating tissue into single cells or nuclei, the entire CUT&Tag reaction — antibody binding, pA-Tn5 recruitment, and tagmentation — is performed directly on a tissue section mounted on a spatially barcoded surface. After tagmentation, the tagged DNA fragments are captured by spatially barcoded oligonucleotides in a microfluidic grid pattern, encoding the tissue coordinates of each epigenetic event. Following library preparation and sequencing, the resulting data maps histone modifications or transcription factor binding to their precise spatial locations within the tissue architecture.
The foundational spatial-CUT&Tag method was developed by Deng et al. (Science, 2022), who demonstrated spatially resolved profiling of H3K27me3 (repressive mark) and H3K4me3 (active promoter mark) in mouse embryo and brain tissue sections. The technology has since been extended to multi-omics workflows capable of co-profiling epigenomic and transcriptomic information from the same tissue section (spatial-CUT&Tag-RNA-seq, Nature Protocols, 2025).
Spatial CUT&Tag vs Standard CUT&Tag vs ChIP-seq
| Dimension | Spatial CUT&Tag | Standard CUT&Tag | ChIP-seq |
|---|---|---|---|
| Spatial context | Preserved — tissue coordinates retained | Lost | Lost |
| Sensitivity | High | High | Moderate |
| Input required | Tissue section | 100–100,000 cells | 106–107 cells |
| Background | Low | Low | Moderate-high |
| Antibody validation | Critical | Critical | Critical |
| Throughput | Thousands of spatial units | Single-cell to bulk | Bulk only |
Technical foundation: The foundational spatial-CUT&Tag method was developed by Deng et al. (Science, 2022) and has been extended to multi-omics workflows (spatial-CUT&Tag-RNA-seq, Nature Protocols, 2025).
Histone Modification & Transcription Factor Mapping
Target Types
| Target Type | Examples | What It Reveals |
|---|---|---|
| Histone modifications | H3K27ac, H3K4me3, H3K27me3, H3K9me3, H3K36me3 | Active vs. repressed chromatin domains, enhancer/promoter states, heterochromatin boundaries |
| Transcription factors | CTCF, RNA Pol II, cell-type-specific TFs (e.g., SOX2, NEUROD1, PU.1) | TF binding site maps, regulatory network architecture, cell identity programs |
| Chromatin-associated proteins | Cohesin, HP1, Lamin B | 3D genome organization, nuclear architecture |
Common Histone Modifications Profiled
| Modification | Function | Biological Context |
|---|---|---|
| H3K27ac | Active enhancers and promoters | Gene activation, cell identity, super-enhancers |
| H3K4me3 | Active promoters | Transcription start sites, gene activity |
| H3K27me3 | Repressive (Polycomb) | Developmental gene silencing |
| H3K9me3 | Constitutive heterochromatin | Genome stability, repeat silencing |
| H3K36me3 | Transcriptional elongation | Gene body marking, splicing regulation |
Antibody Selection Considerations
Antibody quality is the single most critical factor for spatial CUT&Tag success. Key considerations include: specificity (the antibody must recognize its target with high specificity in fixed tissue sections), compatibility with fixation (the antibody must recognize its epitope after formaldehyde cross-linking), and concentration optimization (optimal antibody concentration should be titrated for each tissue type and target combination). IgG or species-matched isotype controls are recommended alongside each target to assess non-specific binding.
Our team provides pre-validated antibody panels for common histone modifications (H3K27ac, H3K4me3, H3K27me3, H3K9me3) and can work with investigator-provided antibodies for custom targets. For novel targets or challenging tissue types, a pilot optimization experiment is recommended.
Sample & Antibody Considerations
| Parameter | Specification | Notes |
|---|---|---|
| Tissue type | Fresh frozen (primary); FFPE (consult) | Fresh frozen preserves epitopes best |
| Section thickness | 10–20 µm | Optimized per tissue type |
| Fixation | Formaldehyde cross-linking | Preserves chromatin structure and epitopes |
| Storage | −80°C | Avoid freeze-thaw cycles |
| Shipping | Dry ice | Maintain −80°C throughout transit |
| Backup | 2–3 additional sections | For optimization and QC |
Antibody Requirements
- Primary antibody: ChIP-seq or CUT&Tag validated; provide concentration and validation data
- Secondary antibody: Species-matched for pA-Tn5 recruitment (provided by CD Genomics for standard targets)
- Antibody volume: Consult per project; typically 1–5 µg per tissue section
- Custom targets: Investigator-provided antibodies accepted; pilot optimization recommended
Spatial CUT&Tag Workflow
Our spatial CUT&Tag workflow proceeds through five integrated stages with quality control at each checkpoint.
- Tissue Preparation & Fixation — Fresh frozen tissue sections (10–20 µm) are placed onto the spatially barcoded surface and cross-linked to preserve chromatin architecture and epitopes. QC: Tissue morphology assessed via brightfield imaging.
- Antibody Binding & pA-Tn5 Recruitment — Permeabilized sections are incubated with primary antibodies against the target modification or TF, followed by species-matched secondary antibodies that recruit protein A-Tn5 fusion proteins. QC: Binding specificity validated on adjacent sections via immunofluorescence.
- In Situ Tagmentation — Magnesium ions activate pA-Tn5, which cleaves and tags DNA specifically at antibody-bound loci, minimizing background from non-target chromatin. QC: Fragment size distribution verified.
- Spatial Barcoding & Library Construction — Tagged fragments are captured by spatially barcoded oligonucleotides in a microfluidic grid. A second perpendicular barcode set generates unique spatial addresses. Barcoded fragments are amplified into indexed libraries. QC: Library QC via Bioanalyzer.
- Sequencing & Data Processing — Libraries are sequenced on Illumina platforms. Reads are demultiplexed, aligned, and processed to generate a spatially indexed histone modification or TF binding matrix.
Data Analysis Pipeline
| Module | Description | Key Outputs |
|---|---|---|
| 1. Raw Data QC & Alignment | Read quality filtering, alignment, spatial barcode demultiplexing | QC report: reads per unit, alignment rate, FRiP |
| 2. Spatial Peak Calling | Enriched histone modification or TF binding sites per spatial domain | BED/bigBed peak files, enrichment matrix |
| 3. Spatial Enrichment Mapping | Modification/binding intensity overlaid on tissue images | Spatial heatmaps, tissue overlay plots |
| 4. Differential Modification | Pairwise comparison between spatial domains | Volcano plots, annotated differential tables |
| 5. Genomic Annotation | Genomic context of enriched regions (promoter, enhancer, gene body) | Pie charts, nearest-gene annotations |
| 6. Multi-omics Integration | Integration with spatial transcriptomics/ATAC-seq | Enhancer-gene linkage maps |
Advanced Analysis (Optional)
| Super-enhancer identification | Ranking of enhancer regions by H3K27ac signal intensity per spatial domain |
| TF footprinting | Inference of transcription factor occupancy from CUT&Tag cleavage patterns |
| Cross-species comparison | Conservation analysis of histone modification patterns |
| Spatial trajectory analysis | Epigenomic state transitions along spatial gradients |
Demo Results
The following figure illustrates representative outputs from spatial CUT&Tag analysis. All visualizations are examples of standard deliverables.
Representative spatial CUT&Tag outputs. Top left: Spatial enrichment clusters mapped onto tissue (H3K27ac). Top right: Histone modification enrichment heatmap across spatial domains. Bottom: Analysis composite with genome browser tracks (left), differential modification volcano plot (center), and genomic annotation pie chart (right).
Note: All figures are representative. Actual results vary by tissue type and target.
Data Deliverables
Primary Data Outputs
| Deliverable | Description |
|---|---|
| Raw sequencing data | Paired-end reads with spatial barcode information |
| Spatially indexed enrichment matrix | Modification/binding enrichment per genomic region per spatial unit |
| Aligned reads | Coordinate-sorted alignment files |
| Peak files | Enriched regions per spatial domain; genome browser-compatible tracks |
| Spatial metadata | Barcode-to-coordinate mapping |
Analysis Reports
| Deliverable | Description |
|---|---|
| QC report | All quality metrics: reads per spatial unit, alignment rate, FRiP, spatial coverage |
| Spatial enrichment report | Spatial heatmaps, domain-specific enrichment patterns |
| Differential modification report | Differential region tables, volcano plots, genomic context annotations |
| Interactive analysis report | Complete report with embedded interactive figures |
| Publication-ready figures | High-resolution figures for manuscript submission |
Spatial CUT&Tag Applications
Tumor Epigenomics
Map active enhancers (H3K27ac) and repressive marks (H3K27me3) across tumor regions to identify spatially restricted oncogenic regulatory programs and drug-resistance-associated chromatin states.
Neuroscience
Profile cell-type-specific histone modifications across brain regions to map regulatory landscapes underlying neuronal diversity, synaptic plasticity, and neurological disease mechanisms.
Developmental Biology
Track spatiotemporal dynamics of histone modifications during organogenesis — identify chromatin state transitions that precede and accompany cell fate decisions at tissue-domain resolution.
Immunology
Map TF binding (e.g., PU.1, IRF4) and histone marks in lymphoid tissues to reveal immune cell activation programs and regulatory network remodeling in situ.
Drug Target Discovery
Identify disease-specific enhancer activation (H3K27ac) in preclinical models; spatially map drug-induced chromatin remodeling for target engagement and mechanism-of-action studies.
Spatial CUT&Tag vs Spatial ATAC-Seq
| Dimension | Spatial CUT&Tag | Spatial ATAC-Seq |
|---|---|---|
| Molecular target | Specific histone modification or protein (antibody-defined) | Open chromatin (genome-wide, unbiased) |
| Sensitivity | High (antibody-directed enrichment) | Moderate (Tn5 insertion bias) |
| Genome-wide coverage | Targeted to antibody-defined loci | Whole-genome chromatin accessibility |
| Antibody requirement | Yes — primary antibody against target | No — Tn5 alone |
| Multiplexing per section | One target per section (or multi-antibody panels) | All open chromatin in one assay |
| Signal-to-noise | Higher (targeted enrichment) | Lower (genome-wide background) |
| Best for | High-sensitivity profiling of known histone marks/TFs in tissue | Unbiased discovery of chromatin states; regulatory element discovery |
Method Selection Guide
- Choose Spatial CUT&Tag when: You have a specific histone modification or transcription factor of interest and need high-sensitivity, low-background profiling in tissue context.
- Choose Spatial ATAC-Seq when: You need genome-wide, unbiased chromatin accessibility maps for regulatory element discovery without pre-selecting targets.
Related Services: Compare with our Spatial ATAC-Seq service, 10x scATAC-seq service, and 10x Multiome ATAC + RNA service.
Frequently Asked Questions (FAQ)
References
- Deng Y, Bartosovic M, Kukanja P, Zhang D, Liu Y, Su G, Enninful A, Bai Z, Castelo-Branco G, Fan R. "Spatial-CUT&Tag: spatially resolved chromatin modification profiling at the cellular level." Science, vol. 375, no. 6581, 2022, pp. 681–686.
- Kaya-Okur HS, Wu SJ, Codomo CA, Pledger ES, Bryson TD, Henikoff JG, Ahmad K, Henikoff S. "CUT&Tag for efficient epigenomic profiling of small samples and single cells." Nature Communications, vol. 10, 2019, 1930.
- Li H, Bao S, Farzad N, Qin X, Fung AA, Zhang D, Bai Z, Tao B, Fan R. "Spatially resolved genome-wide joint profiling of epigenome and transcriptome with spatial-ATAC-RNA-seq and spatial-CUT&Tag-RNA-seq." Nature Protocols, vol. 20, 2025, pp. 2383–2417.
- Deng Y, Bartosovic M, Kukanja P, Zhang D, Liu Y, Su G, Enninful A, Bai Z, Castelo-Branco G, Fan R. "Spatial profiling of chromatin accessibility in mouse and human tissues." Nature, vol. 609, 2022, pp. 375–383.
- Abbasova L, Urbanaviciute P, Hu D, Ismail JN, Schilder BM, Nott A, Skene NG, Marzi SJ. "CUT&Tag recovers up to half of ENCODE ChIP-seq histone acetylation peaks." Nature Communications, vol. 16, 2025, 2993.
