Why DNA + Protein Single-cell Multi-omics?
Cancer is a complex disease with a mix of cells in varied states. Understanding the effect of genotype on immunophenotype at the single-cell level reveals disease processes and ultimately enables better therapies. A single-cell multi-omics approach is the only way to achieve full resolution of tumor heterogeneity. Perform true multi-omics with simultaneous detection of SNVs, CNVs, and cell-surface proteins at the single-cell level.
Correlate immunophenotype with genotype from the same cell.
Distinguish subclones from minimal residual disease with single-cell multi-omics based on SNVs, CNVs, and protein expression.
Eliminate inferences while saving on research budgets and analysis times.

Explore insights of single-cell multi-omics in myeloid malignancies
Ross Levine, MD, Memorial Sloan Kettering Cancer Center
The Tapestri Workflow
Integrate seamlessly into your existing NGS workflow with sample prep and analysis solutions using the Tapestri single-cell sequencing platform
With our single-cell sequencing platform, use the Tapestri Instrument, reagents, and consumables up-front of your NGS system and then Tapestri Pipeline and Tapestri Insights software for data analysis and visualization.
TARGET SELECTION
Choose a pre-designed or custom DNA panel
SEQUENCING
Single sequencing run for multi-omics single-cell data
Datasets
Explore the datasets below using single-cell multi-omics analysis.
NAME | DESCRIPTION | LAST UPDATED |
|---|---|---|
Sample dataset for the Tapestri Single Cell DNA AML panel | 12.22.2021 |
DNA Is Our Foundation
Providing cancer specialists with the only single-cell targeted DNA solution that integrates SNV, CNV, and protein data from the same cell.
Single-cell Genomics (DNA)
SNV
Detect rare clonal populations and identify co-occurrence and zygosity.
SNV + CNV
Characterize genomic heterogeneity using a single comprehensive platform.
Ready to build your DNA + Protein panel?
Chat with one of our design experts to build a panel to simultaneously detect SNVs, CNVs, and protein expression.





