Discovery of candidate functional non-coding mutations in acute myeloid leukemia using single-cell chromatin accessibility sequencing

Mutations and gene rearrangements are crucial for the diagnosis and subtyping of acute myeloid leukemia (AML). However, the contribution of non-coding genetic variants, particularly those within cis-regulatory elements (CREs), to AML pathophysiology and heterogeneity remains poorly understood. In this study, we characterize the single-cell chromatin accessibility landscapes of 10 bone marrow samples from AML patients at diagnosis. Additionally, we develop eMut, an integrated computational pipeline for detecting, imputing, and functionally characterizing non-coding mutations in CREs at the single-cell level. Our analysis identifies 2878 potential somatic non-coding mutations, highlighting the extensive mutational heterogeneity in the non-coding genome of AML patients, with recurrent non-coding mutations displaying cell type-specific patterns. We show that mutated CREs are enriched with blood-related genetic variants, potentially linked to AML-associated genes, and harbor a higher abundance of functional CREs, suggesting their functional relevance in leukemogenesis. Importantly, we pinpoint candidate functional non-coding mutations that associate with alteration of target gene expression in AML. Collectively, our work provides a comprehensive resource of single-cell chromatin accessibility in AML and introduces an integrative approach to identify candidate functional non-coding mutations contributing to cellular heterogeneity in AML.

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Publication Details

Journal
Communications Biology
Published
2025-05-26
DOI
https://doi.org/10.1038/s42003-025-08257-8
Citations
3
Primary Topic
Acute Myeloid Leukemia Research
Type
article
Field-Weighted Citation Impact
5.31

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article

Discovery of candidate functional non-coding mutations in acute myeloid leukemia using single-cell chromatin accessibility sequencing

Yiding Yang, Jialiang Huang, Zhijuan Zhu, J. P. Dai et al.
3 citations
Communications Biology
Acute Myeloid Leukemia Research
5.31
article

Discovery of candidate functional non-coding mutations in acute myeloid leukemia using single-cell chromatin accessibility sequencing

Yiding Yang, Jialiang Huang, Zhijuan Zhu, J. P. Dai, Hua Li, Jiali Zhu, Nainong Li, Ming Zhu
article en
3 citations

Abstract

Mutations and gene rearrangements are crucial for the diagnosis and subtyping of acute myeloid leukemia (AML). However, the contribution of non-coding genetic variants, particularly those within cis-regulatory elements (CREs), to AML pathophysiology and heterogeneity remains poorly understood. In this study, we characterize the single-cell chromatin accessibility landscapes of 10 bone marrow samples from AML patients at diagnosis. Additionally, we develop eMut, an integrated computational pipeline for detecting, imputing, and functionally characterizing non-coding mutations in CREs at the single-cell level. Our analysis identifies 2878 potential somatic non-coding mutations, highlighting the extensive mutational heterogeneity in the non-coding genome of AML patients, with recurrent non-coding mutations displaying cell type-specific patterns. We show that mutated CREs are enriched with blood-related genetic variants, potentially linked to AML-associated genes, and harbor a higher abundance of functional CREs, suggesting their functional relevance in leukemogenesis. Importantly, we pinpoint candidate functional non-coding mutations that associate with alteration of target gene expression in AML. Collectively, our work provides a comprehensive resource of single-cell chromatin accessibility in AML and introduces an integrative approach to identify candidate functional non-coding mutations contributing to cellular heterogeneity in AML.

Communications BiologyVol. 8(1)
Fujian Medical University (CN), Xiamen University (CN), Xiamen Chang Gung Hospital (CN), Union Hospital (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 5%
Acute Myeloid Leukemia Research
5.31
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