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Single-cell multiomic analysis identifies regulatory programs in mixed-phenotype acute leukemia.

Jeffrey M Granja^1,2,3, Sandy Klemm⁴, Lisa M McGinnis^5,6

¹Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA.

Nature Biotechnology

|December 4, 2019

Summary

This study introduces a single-cell multiomic framework to analyze blood development and mixed-phenotype acute leukemia. It establishes a normal epigenetic baseline to identify common and patient-specific malignant molecular signatures.

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Area of Science:

Molecular Biology
Genomics
Hematology

Background:

Understanding human disease mechanisms requires deconvoluting complex molecular phenotypes.
Current methods often analyze DNA accessibility, gene expression, and protein abundance separately.

Purpose of the Study:

To develop a single-cell framework integrating multiomic data for disease analysis.
To establish an epigenetic baseline for healthy blood development.
To deconvolve aberrant molecular features in mixed-phenotype acute leukemia.

Main Methods:

Single-cell multiomic profiling (protein quantification, transcriptome, chromatin accessibility).
Establishment of a normal epigenetic reference atlas for blood development.
Comparative analysis of healthy and leukemia patient blood samples.

Main Results:

Identification of common malignant signatures and patient-specific regulatory features in leukemia.
Discovery of 91,601 putative peak-to-gene linkages and key transcription factors.
Characterization of RUNX1-linked regulatory elements associated with CD69 in leukemia.

Conclusions:

Integrative single-cell multiomics provides a powerful framework for dissecting disease mechanisms.
The study reveals shared and distinct molecular pathways in mixed-phenotype acute leukemia.
Establishing normal developmental atlases is crucial for interpreting disease-specific alterations.