Single-cell Multi-omics Enables Granular Resolution Into AML For Powerful Insight Into the Correlation Between Genotype and Phenotype
Takeaways
- Tapestri Platform is the only single- cell multi-omics platform capable of simultaneously detecting SNVs, CNVs, and protein expression from the same single cell
- Bulk sequencing, cell-line databases, and flow cytometry orthogonally verified Tapestri multi-omics results
- The Tapestri Platform enables in-depth multi-omics analysis of cell lines and blood samples
Abstract
Modern medicine has given rise to an array of treatment options for diseases such as acute myeloid leukemia (AML). Cancer is a heterogeneous mixture of cells with varied states, and the best treatment options to an individual patient requires an understanding of the disease state at the cellular level. A single-cell multi-omics approach is the only way to achieve full resolution of the disease at the cellular level, revealing the interplay between genotype and phenotype. Here, we show that the Tapestri Platform enables comprehensive identification of cell subpopulations through single-cell multi-omics profiling. The platform discerned single nucleotide variants (SNVs), copy number variations (CNVs), and cell surface protein expression in single cells from a mixture of AML cell lines and an AML research sample. Our results demonstrate that subpopulations are not consistently defined by one genetic or phenotypic factor alone, but by multiple parameters in conjunction and irretrievable by bulk sequencing methods. We also show that multi-omics data generated by the Tapestri Platform are consistent with the gold-standard techniques currently used for traditional omics analysis of AML samples. Taken together, our results demonstrate the power of the Tapestri Platform to uncover and define various cell states of AML using single-cell multi-omics.
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