Evidence map›Paper›PMID 37138096›Full record

ReviewEye (London, England)2023

Single-cell transcriptomics of the ocular anterior segment: a comprehensive review.

Sofia Ahsanuddin, Albert Y Wu

Open access · hybridAbstract readReview
In one paragraph

Review in Eye (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Review
  3. Network analysis of antimicrobial resistance inNAR genomics and bioinformatics · 2025
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Clinical anatomy: cornea and ocular surface.Medical hypothesis, discovery & innovation ophthalmology journal · 2025
    Review
  10. Review
  11. Article
  12. Article
  13. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Sofia AhsanuddinDepartment of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0003-3379-6802
Albert Y WuDepartment of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford, CA, USA. awu1@stanford.edu.ORCID 0000-0002-1360-8248
New York Eye and Ear Infirmary · USStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elucidating the cellular and genetic composition of ocular tissues is essential for uncovering the pathophysiology of ocular diseases. Since the introduction of single-cell RNA sequencing (scRNA-seq) in 2009, vision researchers have performed extensive single-cell analyses to better understand transcriptome complexity and heterogeneity of ocular structures. This technology has revolutionized our ability to identify rare cell populations and to make cross-species comparisons of gene expression in both steady state and disease conditions. Importantly, single-cell transcriptomic analyses have enabled the identification of cell-type specific gene markers and signalling pathways between ocular cell populations. While most scRNA-seq studies have been conducted on retinal tissues, large-scale transcriptomic atlases pertaining to the ocular anterior segment have also been constructed in the past three years. This timely review provides vision researchers with an overview of scRNA-seq experimental design, technical limitations, and clinical applications in a variety of anterior segment-related ocular pathologies. We review open-access anterior segment-related scRNA-seq datasets and illustrate how scRNA-seq can be an indispensable tool for the development of targeted therapeutics.

Indexed as

Gene Expression ProfilingTranscriptomeHumansSequence Analysis, RNASignal TransductionSingle-Cell Analysis

Identifiers

PMID37138096
PMCPMC10156079
OpenAlexW4367857341

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.