Spatial CUT&Tag

Map Histone Modifications and Chromatin-Bound Proteins

Spatial CUT&Tag for histone marks & chromatin-bound proteins

Antibody-guided Tn5 tagmentation maps chromatin modifications and protein–DNA occupancy directly on tissue sections, preserving morphology and neighborhood context.

  • Targeted epigenomic readout
    Profile activating, repressive, and architectural signals with spatial precision.
  • Gentle, streamlined workflow
    On-slide binding and tagmentation reduce handling—well suited to delicate tissues and co-registration with H&E.
  • Quantitative spatial signals
    Call peaks, compute enrichment, and relate programs to cell neighborhoods.
  • Complementary to Spatial ATAC
    Layer CUT&Tag occupancy with accessibility to strengthen regulatory interpretation.
Diagram showing the structure of an antibody with labeled regions including the antigen-binding sites, primary and secondary antibody regions, and nucleosomes indicated with coil-like structures.
Read more in our 2022 Science publication
Conference Poster
ASHG 2025 Poster — Spatial CUT&Tag
Exhibit & Poster Hall • Board 8057T

Spatial epigenomic profiling reveals the chromatin mechanisms driving tumor resistance and cellular heterogeneity. Using AtlasXomics’ spatial CUT&Tag and DBiT-seq platforms, we mapped histone modifications and chromatin accessibility across gastric and prostate tumors, uncovering group-specific enhancer activity, altered chromatin looping, and transcription factor networks linked to tumor-stroma interactions.

AtlasXomics ASHG 2025 poster preview
White Paper
Spatial CUT&Tag — High-Resolution Chromatin Profiling with Spatial Context
Methods overview • Performance benchmarks • Example analyses

A deeper technical walkthrough of in-tissue, antibody-directed tagmentation for spatially resolved chromatin profiling, plus example results across marks and tissue contexts.

  • How Spatial CUT&Tag works in situ (antibody-directed Tn5 tagmentation)
  • Robust profiling across diverse chromatin targets
  • Representative performance + reproducibility benchmarks
White Paper Preview

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