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Single-cell Multiomics Powers Biomarker Insights into AML

Myeloid diseases such as AML are highly diverse, with genetic and immunophenotypic changes driving clonal evolution, making response and relapse difficult to predict. Single-cell multiomics helps address this complexity, offering deeper insights into disease progression and treatment response to guide more informed therapeutic decisions.

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What if you could follow the clonal evolution of AML to uncover biomarker insights?

The complexity of leukemia clonal architecture and the genotypic and immunophenotypic drifts during treatment explain why more than half of patients in remission could relapse. Using single-cell multiomics approaches, researchers can ucover the clonal and subclonal drivers of therapy resistance and relapse, and more precisely characterize patient tumor heterogeneity and evolution

Primary Applications

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Clonal Heterogeneity

Figure 11. Evolutionary analysis reveals clonal dynamics.
  • Disease characterization
  • Mutation acquisition
  • Clonal architecture and evolution from precursor to disease state
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Therapy Resistance

  • Understand mechanisms of resistance
  • Differentiate non/responders
  • Identify and detect rare relapse clones
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Disease Monitoring

  • Sensitive and specific measure of residual disease
  • Identify gene/surface protein targets for future therapeutic interventions
See an example report

It is time to overcome the challenges of MRD in AML

The heterogeneity and dynamism of AML clonal architecture pose a challenge for MRD monitoring. Yet, MRD assessment is crucial for prognosis, as MRD positivity post-remission indicates a higher relapse risk. Conventional single-analyte methods like flow cytometry and PCR are unable to detect the immunophenotypic or genotypic changes arising during treatment. While error-corrected NGS offers highly sensitive detection of residual cells and simultaneous evaluation of many genes, it cannot differentiate true AML from precursor clones, leading to false-positive results. Even when combining these assays to achieve clinical utility, integrating data from different modalities remains challenging.

Tapestri scMRD technology vs conventional methods for MRD assessment

Capabilities
Flow Cytometry
Error-corrected NGS
scMRD AML Multiomics Assay
Identify mutations driving therapy response
Detect rare events with high sensitivity
Characterize immunophenotypic and genotypic drift through disease course
Distinguish true AML from benign precursors
Uncover clonal architecture (co-occurrence and zygosity of mutation)

Tapestri Single-cell Myeloid Multiomics Solution

Get everything you need to conduct single-cell multiomics analysis of AML and other myeloid neoplasms in your lab with this fully-supported, all-in-one package.
  • Tapestri Instrument
  • Tapestri Single-cell DNA + Protein Core Kit
  • Choose from Our DNA and AOC Panels for AML and Myeloid Diseases
  •  Software-Based Analysis
(via Portal Access or On-Premise Activation)
  • Sample Multiplexing by Genotyping

Assay Content

  • 40-hotspot-gene panel for single-cell DNA sequencing curated based on relevant guidelines for AML MRD
 testing such as the European LeukemiaNet (ELN).
  • 17-plex antibody oligonucleotide conjugate (AOC) panel including AML MRD disease-specific biomarkers for
 immunophenotypic characterization.
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Tapestri scMRD AML DNA Panel

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TotalSeq-D scMRD AML Antibody Cocktail

"Current tools for MRD assessment, like bulk NGS and flow cytometry, lack the clonal resolution and specificity to detect the treatment-resistant cancer cells still hiding in the shadows. Mission Bio’s unique approach to characterizing MRD could dramatically change how we stratify patients in clinical trials and create personalized care strategies in the future.”

P.J.M. (Peter) Valk, PhD, Principal Investigator at Erasmus MC
Independent Mission Bio Platform User

Resources

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For Research Use Only. Not for use in diagnostic procedures.

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