ArticleCell genomics2023
Preleukemic single-cell landscapes reveal mutation-specific mechanisms and gene programs predictive of AML patient outcomes.
Article in Cell genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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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Who cites it
10 citing papers in PubMed, 13 citations in OpenAlex.
- Quantitative molecular cartography of emergency myelopoiesis reveals conserved modules of hematopoietic activation.Cell stem cell · 2026Article
- A progeria syndrome links DNA hypermethylation to age-related pathology.Nature genetics · 2026Article
- Metallothionein 1 mediates growth and survival ofHaematologica · 2026Article
- A unified multimodal single-cell framework reveals a discrete state model of hematopoiesis in mice.Nature immunology · 2025Article
- Hematopoietic Stem Cell Hierarchies as Novel Biomarkers of Drug Response in Myelodysplastic Syndromes and Acute Myeloid Leukemia.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025Review
- Enforcement of stem-cell dormancy by nucleophosmin mutation is a critical determinant of unrestricted self-renewal during myeloid leukemogenesis.Haematologica · 2025Article
- Single-cell Transcriptional Atlas of Human Hematopoiesis Reveals Genetic and Hierarchy-Based Determinants of Aberrant AML Differentiation.Blood cancer discovery · 2025Article
- diffGEK: differential gene expression kinetics.Bioinformatics (Oxford, England) · 2025Article
- Clonal hematopoiesis-related mutant ASXL1 promotes atherosclerosis in mice via dysregulated innate immunity.Nature cardiovascular research · 2024Article
- Deciphering cell states and the cellular ecosystem to improve risk stratification in acute myeloid leukemia.Briefings in bioinformatics · 2024Article
Corrections and comments
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Authors and funding
24 authors at 1 institution in 1 country.
Funding
Abstract
Acute myeloid leukemia (AML) and myeloid neoplasms develop through acquisition of somatic mutations that confer mutation-specific fitness advantages to hematopoietic stem and progenitor cells. However, our understanding of mutational effects remains limited to the resolution attainable within immunophenotypically and clinically accessible bulk cell populations. To decipher heterogeneous cellular fitness to preleukemic mutational perturbations, we performed single-cell RNA sequencing of eight different mouse models with driver mutations of myeloid malignancies, generating 269,048 single-cell profiles. Our analysis infers mutation-driven perturbations in cell abundance, cellular lineage fate, cellular metabolism, and gene expression at the continuous resolution, pinpointing cell populations with transcriptional alterations associated with differentiation bias. We further develop an 11-gene scoring system (Stem11) on the basis of preleukemic transcriptional signatures that predicts AML patient outcomes. Our results demonstrate that a single-cell-resolution deep characterization of preleukemic biology has the potential to enhance our understanding of AML heterogeneity and inform more effective risk stratification strategies.
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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 OpenQuestion graph.