ArticleNature cell biology2013
Characterization of transcriptional networks in blood stem and progenitor cells using high-throughput single-cell gene expression analysis.
Article in Nature cell biology, 2013. 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 173 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
173 citing papers in PubMed, 279 citations in OpenAlex.
- UnlockingNAR genomics and bioinformatics · 2026Article
- Mapping Hematopoietic Fate after Transplantation.Stem cell reviews and reports · 2025Review
- Dynamic gene regulatory network inference from single-cell data using optimal transport.Bioinformatics (Oxford, England) · 2025Article
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- Single-cell Technology in Stem Cell Research.Current stem cell research & therapy · 2025Review
- Unlocking hematopoietic stem cell potential: integrative computational approaches for genomic and transcriptomic analysis.Frontiers in cell and developmental biology · 2025Review
- Transcriptional regulatory logic orchestrating lymphoid and myeloid cell fate decisions.Frontiers in immunology · 2025Article
- A system-level model reveals that transcriptional stochasticity is required for hematopoietic stem cell differentiation.NPJ systems biology and applications · 2024Article
- scGRN-Entropy: Inferring cell differentiation trajectories using single-cell data and gene regulation network-based transfer entropy.PLoS computational biology · 2024Article
- Review
- Comparative analysis of single-cell pathway scoring methods and a novel approach.NAR genomics and bioinformatics · 2024Article
- Germ line variant GFI1-36N affects DNA repair and sensitizes AML cells to DNA damage and repair therapy.Blood · 2023Article
- Article
- Towards a comprehensive regulatory map of Mammalian Genomes.Research square · 2023Article
- Systematic perturbation of chromatin factors identifies regulatory networks during healthy and malignant hematopoiesis.Nature genetics · 2023Article
- Review
- Label-free single cell proteomics utilizing ultrafast LC and MS instrumentation: A valuable complementary technique to multiplexing.Proteomics · 2023Review
- Gata2-regulated Gfi1b expression controls endothelial programming during endothelial-to-hematopoietic transition.Blood advances · 2023Article
- Predicting yield of individual field-grown rapeseed plants from rosette-stage leaf gene expression.PLoS computational biology · 2023Article
- In vivo clonal tracking reveals evidence of haemangioblast and haematomesoblast contribution to yolk sac haematopoiesis.Nature communications · 2023Article
113 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
13 authors at 6 institutions in 2 countries.
Funding
Abstract
Cellular decision-making is mediated by a complex interplay of external stimuli with the intracellular environment, in particular transcription factor regulatory networks. Here we have determined the expression of a network of 18 key haematopoietic transcription factors in 597 single primary blood stem and progenitor cells isolated from mouse bone marrow. We demonstrate that different stem/progenitor populations are characterized by distinctive transcription factor expression states, and through comprehensive bioinformatic analysis reveal positively and negatively correlated transcription factor pairings, including previously unrecognized relationships between Gata2, Gfi1 and Gfi1b. Validation using transcriptional and transgenic assays confirmed direct regulatory interactions consistent with a regulatory triad in immature blood stem cells, where Gata2 may function to modulate cross-inhibition between Gfi1 and Gfi1b. Single-cell expression profiling therefore identifies network states and allows reconstruction of network hierarchies involved in controlling stem cell fate choices, and provides a blueprint for studying both normal development and human disease.
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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.