ArticleFrontiers in genetics2019
Single-Cell Transcriptomics Reveals Spatial and Temporal Turnover of Keratinocyte Differentiation Regulators.
Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed.
- Reconceptualizing gingival keratinization: from epithelial autonomy to artificial intelligence-driven therapeutic planning.Odontology · 2026Review
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- The cutaneous mirror: leveraging drug-induced skin phenotypes as early visual risk signals for systemic toxicity, a comprehensive review.Frontiers in drug safety and regulation · 2026Review
- Gut-larynx axis and its contribution to laryngeal immunity.mSystems · 2025Article
- Identification of biomarkers and exploration of mechanisms for atopic dermatitis based on transcriptome and scRNA-seq data analysis.Medicine · 2025Article
- Control of Cellular Differentiation Trajectories for Cancer Reversion.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Single-cell RNA sequencing reveals the impaired epidermal differentiation and pathological microenvironment in diabetic foot ulcer.Burns & trauma · 2025Article
- Review
- The Reign of Follistatin in Tumors and Their Microenvironment: Implications for Drug Resistance.Biology · 2024Review
- The urothelial gene regulatory network: understanding biology to improve bladder cancer management.Oncogene · 2024Review
- Novel Quinazoline Derivative Induces Differentiation of Keratinocytes and Enhances Skin Barrier Functions against Th2 Cytokine-Mediated Signaling.Molecules (Basel, Switzerland) · 2023Article
- The Way to Malignant Transformation: Can Epigenetic Alterations Be Used to Diagnose Early-Stage Head and Neck Cancer?Biomedicines · 2023Review
- Single-cell RNA sequencing in cornea research: Insights into limbal stem cells and their niche regulation.World journal of stem cells · 2023Review
- Decoding the Human Epidermal Complexity at Single-Cell Resolution.International journal of molecular sciences · 2023Review
- Article
- Receptors and Cofactors That Contribute to SARS-CoV-2 Entry: Can Skin Be an Alternative Route of Entry?International journal of molecular sciences · 2023Review
- Epithelial-intrinsic defects in TGFβR signaling drive local allergic inflammation manifesting as eosinophilic esophagitis.Science immunology · 2023Article
- Revelations in Thymic Epithelial Cell Biology and Heterogeneity from Single-Cell RNA Sequencing and Lineage Tracing Methodologies.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Single-cell analysis reveals melanocytes may promote inflammation in chronic wounds through cathepsin G.Frontiers in genetics · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Keratinocyte differentiation requires intricately coordinated spatiotemporal expression changes that specify epidermis structure and function. This article utilizes single-cell RNA-seq data from 22,338 human foreskin keratinocytes to reconstruct the transcriptional regulation of skin development and homeostasis genes, organizing them by differentiation stage and also into transcription factor (TF)-associated modules. We identify groups of TFs characterized by coordinate expression changes during progression from the undifferentiated basal to the differentiated state and show that these TFs also have concordant differential predicted binding enrichment in the super-enhancers previously reported to turn over between the two states. The identified TFs form a core subset of the regulators controlling gene modules essential for basal and differentiated keratinocyte functions, supporting their nomination as master coordinators of keratinocyte differentiation. Experimental depletion of the TFs ZBED2 and ETV4, both predicted to promote the basal state, induces differentiation. Furthermore, our single-cell RNA expression analysis reveals preferential expression of antioxidant genes in the basal state, suggesting keratinocytes actively suppress reactive oxygen species to maintain the undifferentiated state. Overall, our work demonstrates diverse computational methods to advance our understanding of dynamic gene regulation in development.
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