ArticleNature communications2019
A general approach for detecting expressed mutations in AML cells using single cell RNA-sequencing.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 137 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
137 citing papers in PubMed, 1 synthesis or guideline pooled it, 236 citations in OpenAlex.
- Guidelines for bioinformatics of single-cell sequencing data analysis in Alzheimer's disease: review, recommendation, implementation and application.Molecular neurodegeneration · 2022Pooled it
- A single-cell lens into the co-evolution of genotypes and phenotypes in cancer.Nature reviews. Cancer · 2026Review
- CRISPR-based functional genomics for dissecting therapeutic dependency in primary acute myeloid leukemia samples.Molecular cell · 2026Article
- Article
- Integrated spatial transcriptomics and single-cell RNA sequencing reveal Lars2-mediated spatiotemporal dynamics of myocardial remodeling in a mouse model of transverse aortic constriction.Frontiers in immunology · 2026Article
- Integrative single-cell and bulk transcriptomics define polyamine-associated cell states in acute myeloid leukemia and implicate CCT6A in polyamine homeostasis.Frontiers in immunology · 2026Article
- AI/ML-Driven Gene Analysis: New Perspectives on Variant Calling in Normal Human Tissue Using scRNA-seq Data.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Article
- Role of NPPB for recovery post ventricular assist device in paediatric dilated cardiomyopathy: Single-cell multiomics.ESC heart failure · 2025Article
- Combined somatic mutation and transcriptome analysis reveals region-specific differences in clonal architecture in human cortex.Cell reports · 2025Article
- The AML cellular state space unveils NPM1 immune evasion subtypes with distinct clinical outcomes.Nature communications · 2025Article
- Clinical application of single-cell RNA sequencing in disease and therapy.Clinical and translational medicine · 2025Review
- How to drug a leukemic stem cell: deciphering heterogeneity for better specificity.Blood neoplasia · 2025Review
- Joint representation and visualization of derailed cell states with Decipher.Genome biology · 2025Article
- Deconvoluting clonal and cellular architecture in IDH-mutant acute myeloid leukemia.Cell stem cell · 2025Article
- Single-cell Transcriptional Atlas of Human Hematopoiesis Reveals Genetic and Hierarchy-Based Determinants of Aberrant AML Differentiation.Blood cancer discovery · 2025Article
- HemaScope: A Tool for Analyzing Single-cell and Spatial Transcriptomics Data of Hematopoietic Cells.Genomics, proteomics & bioinformatics · 2025Article
- In depth transcriptomic profiling defines a landscape of dysfunctional immune responses in patients with VEXAS syndrome.Nature communications · 2025Article
- SCANER: robust and sensitive identification of malignant cells from the scRNA-seq profiled tumor ecosystem.Briefings in bioinformatics · 2025Article
- The Crossroads of Clonal Evolution, Differentiation Hierarchy, and Ontogeny in Leukemia Development.Blood cancer discovery · 2025Review
77 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
Virtually all tumors are genetically heterogeneous, containing mutationally-defined subclonal cell populations that often have distinct phenotypes. Single-cell RNA-sequencing has revealed that a variety of tumors are also transcriptionally heterogeneous, but the relationship between expression heterogeneity and subclonal architecture is unclear. Here, we address this question in the context of Acute Myeloid Leukemia (AML) by integrating whole genome sequencing with single-cell RNA-sequencing (using the 10x Genomics Chromium Single Cell 5' Gene Expression workflow). Applying this approach to five cryopreserved AML samples, we identify hundreds to thousands of cells containing tumor-specific mutations in each case, and use the results to distinguish AML cells (including normal-karyotype AML cells) from normal cells, identify expression signatures associated with subclonal mutations, and find cell surface markers that could be used to purify subclones for further study. This integrative approach for connecting genotype to phenotype is broadly applicable to any sample that is phenotypically and genetically heterogeneous.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.