ReviewCurrent eye research2020
Understanding the complexity of retina and pluripotent stem cell derived retinal organoids with single cell RNA sequencing: current progress, remaining challenges and future prospective.
Review in Current eye research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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
21 citing papers in PubMed, 34 citations in OpenAlex.
- Spatial proteomic mapping of the human and mouse retina using IBEX.JCI insight · 2026Article
- Long-term culture of patient-derived pheochromocytoma organoids.Frontiers in endocrinology · 2026Article
- Canine Adrenomedullary and Pheochromocytoma Organoids: A Novel In Vitro Model.Endocrinology · 2025Article
- Single-cell sequencing in diabetic retinopathy: progress and prospects.Journal of translational medicine · 2025Review
- Retinal Organoids: A Next-Generation Platform for High-Throughput Drug Discovery.Stem cell reviews and reports · 2024Review
- Article
- Single-cell transcriptomics of the ocular anterior segment: a comprehensive review.Eye (London, England) · 2023Review
- Boolean implication analysis of single-cell data predicts retinal cell type markers.BMC bioinformatics · 2022Article
- Rod genesis driven by mafba in an nrl knockout zebrafish model with altered photoreceptor composition and progressive retinal degeneration.PLoS genetics · 2022Article
- Article
- Replacement of the Trabecular Meshwork Cells-A Way Ahead in IOP Control?Biomolecules · 2021Review
- Stem Cell-Based Regeneration and Restoration for Retinal Ganglion Cell: Recent Advancements and Current Challenges.Biomolecules · 2021Review
- Single-cell RNA sequencing in vision research: Insights into human retinal health and disease.Progress in retinal and eye research · 2021Review
- Transplantation of miPSC/mESC-derived retinal ganglion cells into healthy and glaucomatous retinas.Molecular therapy. Methods & clinical development · 2021Article
- Single-cell RNA sequencing: An overview for the ophthalmologist.Seminars in ophthalmology · 2021Review
- Current understanding of the molecular and cellular pathology of diabetic retinopathy.Nature reviews. Endocrinology · 2021Review
- Single-Cell RNA Sequencing of Retina:New Looks for Gene Marker and Old Diseases.Frontiers in molecular biosciences · 2021Review
- Generation and Staging of Human Retinal Organoids Based on Self-Formed Ectodermal Autonomous Multi-Zone System.Frontiers in cell and developmental biology · 2021Article
- Pluripotent stem cell-derived retinal organoids for disease modeling and development of therapies.Stem cells (Dayton, Ohio) · 2020Review
- Naught all zeros in sequence count data are the same.Computational and structural biotechnology journal · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Single-cell sequencing technologies have emerged as a revolutionary tool with transformative new methods to profile genetic, epigenetic, spatial, and lineage information in individual cells. Single-cell RNA sequencing (scRNA-Seq) allows researchers to collect large datasets detailing the transcriptomes of individual cells in space and time and is increasingly being applied to reveal cellular heterogeneity in retinal development, normal physiology, and disease, and provide new insights into cell-type specific markers and signaling pathways. In recent years, scRNA-Seq datasets have been generated from retinal tissue and pluripotent stem cell-derived retinal organoids. Their cross-comparison enables staging of retinal organoids, identification of specific cells in developing and adult human neural retina and provides deeper insights into cell-type sub-specification and geographical differences. In this article, we review the recent rapid progress in scRNA-Seq analyses of retina and retinal organoids, the questions that remain unanswered and the technical challenges that need to be overcome to achieve consistent results that reflect the complexity, functionality, and interactions of all retinal cell types.
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.