ArticleCell2019
Single-Cell RNA-Seq Reveals AML Hierarchies Relevant to Disease Progression and Immunity.
Article in Cell, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 749 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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
749 citing papers in PubMed, 1,153 citations in OpenAlex.
- Transcriptome Analysis Identifies a Myeloid-Like Signature in Relapsed or Refractory B-Cell Acute Lymphoblastic Leukemia Patients With Poor Response to CD19 Chimeric Antigen Receptor T Cell Therapy.Cancer medicine · 2026Trial
- Results of a phase 1 trial testing ruxolitinib plus venetoclax in patients with relapsed/refractory acute myeloid leukemia.Blood neoplasia · 2026Trial
- Quizartinib and omacetaxine mepesuccinate combination therapy in FLT3-ITD AML: a phase II trial.Nature communications · 2026Trial
- Spatial Transcriptomics Analysis of Ewing Sarcoma.Methods in molecular biology (Clifton, N.J.) · 2027Article
- A single-cell lens into the co-evolution of genotypes and phenotypes in cancer.Nature reviews. Cancer · 2026Review
- Article
- TIM3-targeted delivery of venetoclax overcomes drug resistance and reinvigorates NK cell activity in acute myeloid leukemia.Nature cancer · 2026Article
- Unifying multimodal single-cell data with a mixture-of-experts β-variational autoencoder framework.Genome research · 2026Article
- Immune and cellular determinants of response to HMA-venetoclax regimens in acute myeloid leukemia.HemaSphere · 2026Article
- When MRD Is Not MRD: A Context-Dependent Interpretation in Clinical Decision-Making.European journal of haematology · 2026Article
- Machine learning-driven M2 macrophage signature for precision prediction of survival and therapy response in acute myeloid leukemia.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026Article
- Article
- Dynamic genetic and nongenetic RAS-pathway activation drives resistance to FLT3 and BCL2 inhibitor therapy.Blood · 2026Article
- Pediatric AML CAR T cell therapy.Molecular therapy. Oncology · 2026Review
- Non-genetic remodeling drives leukemia propagation and reveals actionable vulnerabilities in acute myeloid leukemia.Cell reports. Medicine · 2026Article
- scTransMIL bridges patient-level disease states and single-cell transcriptomics for cancer screening and heterogeneity inference.Nature communications · 2026Article
- CD84 expression stratifies venetoclax response and reveals a targetable vulnerability in resistant acute myeloid leukemia.Experimental hematology & oncology · 2026Article
- Therapy induced senescence promotes immunogenicity in acute myeloid Leukemia through reduced EZH2 activity.Nature communications · 2026Article
- Single-cell DNA methylation analysis uncovers epigenetic pathways in the transformation of MDS to AML.Leukemia · 2026Article
- ATO alleviates T-cell immunosuppression by inducing apoptosis-associated secretion of IL-2 in FLT3-ITD-mutated acute myeloid leukemia.Translational oncology · 2026Article
689 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors at 7 institutions in 1 country.
Funding
Abstract
Acute myeloid leukemia (AML) is a heterogeneous disease that resides within a complex microenvironment, complicating efforts to understand how different cell types contribute to disease progression. We combined single-cell RNA sequencing and genotyping to profile 38,410 cells from 40 bone marrow aspirates, including 16 AML patients and five healthy donors. We then applied a machine learning classifier to distinguish a spectrum of malignant cell types whose abundances varied between patients and between subclones in the same tumor. Cell type compositions correlated with prototypic genetic lesions, including an association of FLT3-ITD with abundant progenitor-like cells. Primitive AML cells exhibited dysregulated transcriptional programs with co-expression of stemness and myeloid priming genes and had prognostic significance. Differentiated monocyte-like AML cells expressed diverse immunomodulatory genes and suppressed T cell activity in vitro. In conclusion, we provide single-cell technologies and an atlas of AML cell states, regulators, and markers with implications for precision medicine and immune therapies. VIDEO ABSTRACT.
Indexed as
Identifiers
What OpenQuestion holds
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.