ArticleCell2020
Chromatin Potential Identified by Shared Single-Cell Profiling of RNA and Chromatin.
Article in Cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 721 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
721 citing papers in PubMed, 1,159 citations in OpenAlex.
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- Age-Related Lamin B1 Deficiency Activates SLC7A11-Dependent Disulfidptosis to Impair Osteogenesis via Intercepting Mitochondrial Fission.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- scURL: uncertainty-sharpened representation learning for single-cell multi-omics clustering.Bioinformatics (Oxford, England) · 2026Article
- Unifying multimodal single-cell data with a mixture-of-experts β-variational autoencoder framework.Genome research · 2026Article
- Atlas of cell types and regulatory elements underlying human facial diversity.Nature genetics · 2026Article
- Shaping the future of early-onset colorectal cancer prevention.Nature reviews. Cancer · 2026Review
- Single-Nucleus Multi-Omic Atlas Maps Regulatory Architecture and Non-Coding Variant Effects across Adult Human Tissues.bioRxiv : the preprint server for biology · 2026Article
- DUET-seq: An Open-Source Droplet Platform for High-Fidelity Joint Chromatin and Transcriptome Profiling Reveals Temporal Regulatory Decoupling in Single Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Review
- Type 1 interferon perturbates clonal competition by reshaping human blood development.Nature genetics · 2026Article
- scGSI: Graph-guided self-supervised integration of paired single-cell multi-omics.PLoS computational biology · 2026Article
- scMOG: A graph neural network method for regulatory relationship-preserving single-cell multi-omics integration.Quantitative biology (Beijing, China) · 2026Article
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- mmVelo: a deep generative model for estimating cell state-dependent dynamics across multiple modalities.Bioinformatics (Oxford, England) · 2026Article
- DECANT: decoupling mechanism from context in single-cell drug perturbation representation.Bioinformatics (Oxford, England) · 2026Article
- scProtoTransformer: Scalable reference mapping across molecules, cells, and donors.Science advances · 2026Article
- Regulatory logic of neuronal differentiation in theProceedings of the National Academy of Sciences of the United States of America · 2026Article
- Article
- Semi-supervised Omics Factor Analysis (SOFA) disentangles known and latent sources of variation in multi-omic data.Nature communications · 2026Article
- Translational insights and clinical challenges of targeting cancer stem cells.Signal transduction and targeted therapy · 2026Review
661 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
15 authors at 3 institutions in 1 country.
Funding
Abstract
Cell differentiation and function are regulated across multiple layers of gene regulation, including modulation of gene expression by changes in chromatin accessibility. However, differentiation is an asynchronous process precluding a temporal understanding of regulatory events leading to cell fate commitment. Here we developed simultaneous high-throughput ATAC and RNA expression with sequencing (SHARE-seq), a highly scalable approach for measurement of chromatin accessibility and gene expression in the same single cell, applicable to different tissues. Using 34,774 joint profiles from mouse skin, we develop a computational strategy to identify cis-regulatory interactions and define domains of regulatory chromatin (DORCs) that significantly overlap with super-enhancers. During lineage commitment, chromatin accessibility at DORCs precedes gene expression, suggesting that changes in chromatin accessibility may prime cells for lineage commitment. We computationally infer chromatin potential as a quantitative measure of chromatin lineage-priming and use it to predict cell fate outcomes. SHARE-seq is an extensible platform to study regulatory circuitry across diverse cells in tissues.
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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.