ArticleCell2018
Integrated Single-Cell Analysis Maps the Continuous Regulatory Landscape of Human Hematopoietic Differentiation.
Article in Cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 398 papers, 1 of them a synthesis that pooled it.
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
398 citing papers in PubMed, 1 synthesis or guideline pooled it, 755 citations in OpenAlex.
- Pooled it
- Controlling for DNA dosage with whole-genome sequencing improves ATAC-seq peak calling.NAR genomics and bioinformatics · 2026Article
- DiTSim: A Diffusion-Transformers Based Single-Cell ATAC-seq Data Simulator.Interdisciplinary sciences, computational life sciences · 2026Article
- scGSI: Graph-guided self-supervised integration of paired single-cell multi-omics.PLoS computational biology · 2026Article
- Identification of DNA-Binding Factor Enrichment in Chromatin Accessibility Data to Define a Persister Cell Signature.Bio-protocol · 2026Article
- Co-option of lineage plasticity as a hallmark of multipotent acute leukemias.Blood neoplasia · 2026Review
- Understanding drug resistance in chronic myeloid leukemia through the lens of leukemic stem cell states: insights from single-cell analyses.Haematologica · 2026Review
- ArchVelo: archetypal velocity modeling for single-cell multi-omic trajectories.Nature communications · 2026Article
- Computational modelling of cell identity.The Biochemical journal · 2026Review
- Multi-omics insights into uric acid metabolism in cardiometabolic disease: from genetics to metabolomics.Biomedical journal · 2026Review
- LYL1 is critical for adult hematopoietic stem cell-derived B and T lymphopoiesis.Scientific reports · 2026Article
- Transposable elements in hematopoietic stem cells upon aging and myeloid malignancies.Mobile DNA · 2026Review
- Transposable elements shape stemness in normal and leukemic hematopoiesis.Nature genetics · 2026Article
- PAIR: Reconstructing Single-Cell Open-Chromatin Landscapes for Transcription Factor Regulome Mapping.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Connecting polygenic disease risk to cell states and regulatory programs through single-cell chromatin accessibility.bioRxiv : the preprint server for biology · 2026Article
- In Silico Perturbation Identifies Transcription Factors as Protective Targets in HSPCs After Irradiation.International journal of molecular sciences · 2026Article
- A comprehensive benchmarking study on computational tools for cross-omics label transfer from single-cell RNA to ATAC data.G3 (Bethesda, Md.) · 2026Article
- Metabolic and epigenetic interplay in HSPC specification: A balance between extrinsic and intrinsic cues.iScience · 2026Review
- Cell type-specific gene regulatory network inference from single cell transcriptomics with ctOTVelo.bioRxiv : the preprint server for biology · 2026Article
- Comparison with Ezh2 reveals the PRC2-dependent functions of Jarid2 in hematopoietic stem Cell lineage commitment.Stem cell reports · 2026Article
338 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
9 authors at 4 institutions in 1 country.
Funding
Abstract
Human hematopoiesis involves cellular differentiation of multipotent cells into progressively more lineage-restricted states. While the chromatin accessibility landscape of this process has been explored in defined populations, single-cell regulatory variation has been hidden by ensemble averaging. We collected single-cell chromatin accessibility profiles across 10 populations of immunophenotypically defined human hematopoietic cell types and constructed a chromatin accessibility landscape of human hematopoiesis to characterize differentiation trajectories. We find variation consistent with lineage bias toward different developmental branches in multipotent cell types. We observe heterogeneity within common myeloid progenitors (CMPs) and granulocyte-macrophage progenitors (GMPs) and develop a strategy to partition GMPs along their differentiation trajectory. Furthermore, we integrated single-cell RNA sequencing (scRNA-seq) data to associate transcription factors to chromatin accessibility changes and regulatory elements to target genes through correlations of expression and regulatory element accessibility. Overall, this work provides a framework for integrative exploration of complex regulatory dynamics in a primary human tissue at single-cell resolution.
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.