Assay comparison
Find the right assay
for your experiment
All AtlasXomics assays run on the same FlowGel platform and share a common core protocol. The key differences are what you're measuring, which sample types are compatible, and what outputs you get.
At a glance
Four assays, one platform
Each assay targets a different layer of epigenomic regulation. Click through to the full assay page for protocols, data examples, and support material.
All assays run on the FlowGel platform — 10 × 10 µm resolution, 48,400 spots per chip, 5.5 × 5.5 mm capture area.
Spatial ATAC-seq
Map open chromatin and regulatory element activity across intact tissue at spatial resolution.
Spatial CUT&Tag
Profile histone modifications spatially to map active, repressed, and poised chromatin states.
Spatial Co-profiling
Simultaneously capture chromatin accessibility and gene expression from the same tissue section in a single run.
Spatial DNA Methylation
Profile genome-wide DNA methylation spatially across intact tissue. Two versions available — open chromatin + methylation now, genome-wide by end of year.
Use cases
Which assay fits your research?
Common experimental scenarios and the assay or combination we'd recommend for each.
Tumor microenvironment profiling
Identify cell-type-specific regulatory programs across tumor, stroma, and immune compartments. Map chromatin states to spatial location within the tissue architecture.
FFPE clinical cohort
Working with archival formalin-fixed tissue? ATAC-seq and TAPS+ are optimized for FFPE. Start with AtlasVerify to qualify samples before committing your cohort.
Active vs. repressed gene regulation
Profile H3K4me3 (active promoters) and H3K27me3 (polycomb repression) spatially to understand bivalent chromatin states and lineage commitment across tissue zones.
Developmental biology
Map epigenetic reprogramming and chromatin remodeling across developmental stages. Combine accessibility and histone marks for a comprehensive regulatory picture.
Multi-modal epigenomic integration
Capture chromatin accessibility and DNA methylation from the same tissue section in a single run — ideal for studies requiring both regulatory layers without doubling sample consumption.
Epigenetic aging and methylation clocks
Spatially resolve DNA methylation patterns associated with biological aging, epigenetic clocks, and disease-associated CpG changes — with tissue context preserved.