ArticleCell2015
Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis.
Article in Cell, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06626555 (Pilot, Randomized, Open-Label, Non-Active Comparator Controlled Clinical Trial to Evaluate the Effects of Letermovir Prophylaxis on T-cell Immune Activation in Participants With Treated HIV-1 Infection), which is not on this map. Cited by 1,372 papers.
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.
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.
Pilot, Randomized, Open-Label, Non-Active Comparator Controlled Clinical Trial to Evaluate the Effects of Letermovir Prophylaxis on T-cell Immune Activation in Participants With Treated HIV-1 Infection
Who cites it
1,372 citing papers in PubMed.
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- Flow Cytometry and AI-Driven Biomarker Discovery in Acute Kidney Injury: From Mechanistic Insights to Translation Applications in Clinical and Austere Environments.International journal of molecular sciences · 2026Review
- ConvexGating infers gating strategies from clusters in single cell cytometry data.Nature communications · 2026Article
- Integration of cell-specific gene expression and chromatin accessibility facilitates localization of neurodegenerative risk in microglia.bioRxiv : the preprint server for biology · 2026Article
- Dendritic cell PD-L2 restrains intratumoral CD8bioRxiv : the preprint server for biology · 2026Article
1,312 more citing papers are in PubMed but not listed here.
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16 authors.
Funding
Abstract
Acute myeloid leukemia (AML) manifests as phenotypically and functionally diverse cells, often within the same patient. Intratumor phenotypic and functional heterogeneity have been linked primarily by physical sorting experiments, which assume that functionally distinct subpopulations can be prospectively isolated by surface phenotypes. This assumption has proven problematic, and we therefore developed a data-driven approach. Using mass cytometry, we profiled surface and intracellular signaling proteins simultaneously in millions of healthy and leukemic cells. We developed PhenoGraph, which algorithmically defines phenotypes in high-dimensional single-cell data. PhenoGraph revealed that the surface phenotypes of leukemic blasts do not necessarily reflect their intracellular state. Using hematopoietic progenitors, we defined a signaling-based measure of cellular phenotype, which led to isolation of a gene expression signature that was predictive of survival in independent cohorts. This study presents new methods for large-scale analysis of single-cell heterogeneity and demonstrates their utility, yielding insights into AML pathophysiology.
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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.