ArticleNature2016
Single-cell analysis of mixed-lineage states leading to a binary cell fate choice.
Article in Nature, 2016. 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 314 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.
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Who cites it
314 citing papers in PubMed.
- Trial
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- Learning stochastic dynamics and cell-fate landscapes from single-cell snapshots via optimal transport.Science advances · 2026Article
- Transitional cell states at the crossroads of development, disease, and repair-regeneration.Physiological reviews · 2026Review
- Multiscale hyperbolic embedding reveals hierarchical structure in complex biological systems.NPJ systems biology and applications · 2026Article
- Oscillatory co-expression of HES1 and HES5 enables a hybrid state in a cross-repressive transcription factor regulatory motif.Development (Cambridge, England) · 2026Article
- Ambient temperature regulates CD4iScience · 2026Article
- The differentiation of myeloid progenitors is effected by cascading waves of coordinated gene expression that remodel cellular physiology in a characteristic sequence.PLoS computational biology · 2026Article
- Activation of a branched-chain amino acid rheostat restores replication-dependent hematopoietic stem cell fitness.Cell stem cell · 2026Article
- An EGR1-dependent cascade modulates genome architecture at the CSF1R locus.Nucleic acids research · 2026Article
- Zinc suppresses Stat3-driven IL-6 production in primary mouse adipocytes.Frontiers in immunology · 2026Article
- Gene regulatory network inference with popInfer reveals the dynamic regulation of hematopoietic stem cell quiescence.iScience · 2025Article
- Trajectory-informed gene feature selection in single-cell analysis with SEEK-VFI.bioRxiv : the preprint server for biology · 2025Article
- Distinct Roles of Monocyte Subsets in Cancer.Cells · 2025Review
- The neutrophil collective.Cell · 2025Review
- TLR2 agonism suppresses myeloid leukemogenesis by reprogramming leukemia stem cells.Blood advances · 2025Article
- A unified multimodal single-cell framework reveals a discrete state model of hematopoiesis in mice.Nature immunology · 2025Article
- Branch-specific gene discovery in cell differentiation using multi-omics graph attention.PLoS computational biology · 2025Article
254 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
7 authors.
Funding
Abstract
Delineating hierarchical cellular states, including rare intermediates and the networks of regulatory genes that orchestrate cell-type specification, are continuing challenges for developmental biology. Single-cell RNA sequencing is greatly accelerating such research, given its power to provide comprehensive descriptions of genomic states and their presumptive regulators. Haematopoietic multipotential progenitor cells, as well as bipotential intermediates, manifest mixed-lineage patterns of gene expression at a single-cell level. Such mixed-lineage states may reflect the molecular priming of different developmental potentials by co-expressed alternative-lineage determinants, namely transcription factors. Although a bistable gene regulatory network has been proposed to regulate the specification of either neutrophils or macrophages, the nature of the transition states manifested in vivo, and the underlying dynamics of the cell-fate determinants, have remained elusive. Here we use single-cell RNA sequencing coupled with a new analytic tool, iterative clustering and guide-gene selection, and clonogenic assays to delineate hierarchical genomic and regulatory states that culminate in neutrophil or macrophage specification in mice. We show that this analysis captured prevalent mixed-lineage intermediates that manifested concurrent expression of haematopoietic stem cell/progenitor and myeloid progenitor cell genes. It also revealed rare metastable intermediates that had collapsed the haematopoietic stem cell/progenitor gene expression programme, instead expressing low levels of the myeloid determinants, Irf8 and Gfi1 (refs 9, 10, 11, 12, 13). Genetic perturbations and chromatin immunoprecipitation followed by sequencing revealed Irf8 and Gfi1 as key components of counteracting myeloid-gene-regulatory networks. Combined loss of these two determinants 'trapped' the metastable intermediate. We propose that mixed-lineage states are obligatory during cell-fate specification, manifest differing frequencies because of their dynamic instability and are dictated by counteracting gene-regulatory networks.
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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.