ArticleScientific reports2023
A single-cell RNA-seq analysis unravels the heterogeneity of primary cultured human corneal endothelial cells.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- Divergence Between Marker Expression and Phenotype During Human Corneal Endothelial Cell Expansion.Investigative ophthalmology & visual science · 2026Article
- An Optimized Mechanical Peeling Protocol for Mouse Corneal Endothelium.Bioengineering (Basel, Switzerland) · 2026Article
- Corneal Endothelial Progenitors for Ocular Regeneration: Translating Discovery into Clinical Therapies.International journal of molecular sciences · 2026Review
- Therapeutic Potential of miR-196a in Protecting Corneal Endothelial Cells From Senescence Through Mitochondrial and TGF-β Signaling Modulation.Translational vision science & technology · 2026Article
- Pathological classification of Fuchs endothelial corneal dystrophy into several types and their relationships with CTG18.1 expansion repeats.The Journal of pathology · 2026Article
- Metabolic and redox adaptations of the corneal endothelium: From metabolic plasticity to therapeutic opportunities.Redox biology · 2026Review
- Progress in the Application of Machine Learning in the Field of Single-Cell and Spatial Transcriptomics.Genes · 2026Review
- Mechanism of uptake and toxicity of a BCMA antibody drug conjugate with a MMAF payload by nonantigen expressing cells.Cell biology and toxicology · 2026Article
- High-Purity Functional Corneal Endothelial Cells From Human Induced Pluripotent Stem Cells via a Novel Wash-Out Method.MedComm · 2026Article
- scSCCNIA: similarity matrix based contrastive clustering with neighbor information aggregation for single-cell RNA sequencing data.Briefings in bioinformatics · 2026Article
- Bioengineering Strategies for Corneal Endothelial Cell Injection Therapy: Advances, Challenges, and Clinical Translation.Bioengineering (Basel, Switzerland) · 2025Review
- Ocular surface health and disease: insight from single-cell RNA sequencing.Frontiers in genetics · 2025Review
- Cell manufacturing for cell-based tissue engineering: a focus on vascularized, skeletal muscle regeneration.Frontiers in chemical engineering · 2025Article
- Transcriptomic comparison of corneal endothelial cells in young versus old corneas.Scientific reports · 2024Article
- Murine colon cancer derived cells exhibit heterogeneous resistance profiles against an oncolytic virus.Scientific reports · 2024Article
- Melanoma progression and prognostic models drawn from single-cell, spatial maps of benign and malignant tumors.Science advances · 2024Article
- DCRELM: dual correlation reduction network-based extreme learning machine for single-cell RNA-seq data clustering.Scientific reports · 2024Article
- Biomaterials used for tissue engineering of barrier-forming cell monolayers in the eye.Frontiers in bioengineering and biotechnology · 2023Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The cornea is a transparent and avascular tissue located in front of the eye. Its inner surface is lined by a monolayer of corneal endothelial cells (CECs), which maintain the cornea transparency. CECs remain arrested in a non-proliferative state and damage to these cells can compromise their function leading to corneal opacity. The primary culture of donor-derived CECs is a promising cell therapy. It confers the potential to treat multiple patients from a single donor, alleviating the global donor shortage. Nevertheless, this approach has limitations preventing its adoption, particularly culture protocols allow limited expansion of CECs and there is a lack of clear parameters to identify therapy-grade CECs. To address this limitation, a better understanding of the molecular changes arising from the primary culture of CECs is required. Using single-cell RNA sequencing on primary cultured CECs, we identify their variable transcriptomic fingerprint at the single cell level, provide a pseudo-temporal reconstruction of the changes arising from primary culture, and suggest markers to assess the quality of primary CEC cultures. This research depicts a deep transcriptomic understanding of the cellular heterogeneity arising from the primary expansion of CECs and sets the basis for further improvement of culture protocols and therapies.
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