Evidence mapPaperPMID 40867565Full record

ReviewBiomolecules2025

The Advance of Single-Cell RNA Sequencing Applications in Ocular Physiology and Disease Research.

Ying Cheng, Sihan Gu, Xueqing Lu, Cheng Pei

Abstract readReview
In one paragraph

Review in Biomolecules, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Ying ChengDepartment of Ophthalmology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China.
Sihan GuDepartment of Ophthalmology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China.
Xueqing LuDepartment of Ophthalmology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China.
Cheng PeiDepartment of Ophthalmology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China.

Funding

The First Affiliated Hospital of Xi'an Jiaotong University, Excellent Young Medical Talent Training Program 2023The National Natural Science Foundation of China 82401256, 82371041Xi'an Jiaotong University Basic Scientific Research Funding, Free Exploration and Innova-tion-Teacher Category Project xzy012024131
6 · The paper itself

Abstract

The eye, a complex organ essential for visual perception, is composed of diverse cell populations with specialized functions; however, the complex interplay between these cellular components and their underlying molecular mechanisms remains largely elusive. Traditional biotechnologies, such as bulk RNA sequencing and in vitro models, are limited in capturing cellular heterogeneity or accurately mimicking the complexity of human ophthalmic diseases. The advent of single-cell RNA sequencing (scRNA-seq) has revolutionized ocular research by enabling high-resolution analysis at the single-cell level, uncovering cellular heterogeneity, and identifying disease-specific gene profiles. In this review, we provide a review of scRNA-seq application advancement in ocular physiology and pathology, highlighting its role in elucidating the molecular mechanisms of various ocular diseases, including myopia, ocular surface and corneal diseases, glaucoma, uveitis, retinal diseases, and ocular tumors. By providing novel insights into cellular diversity, gene expression dynamics, and cell-cell interactions, scRNA-seq has facilitated the identification of novel biomarkers and therapeutic targets, and the further integration of scRNA-seq with other omics technologies holds promise for deepening our understanding of ocular health and diseases.

Indexed as

Eye DiseasesOcular Physiological PhenomenaSequence Analysis, RNASingle-Cell AnalysisAnimalsHumansbiomarkercellular heterogeneityocular diseaseocular physiologysingle-cell RNA sequencing

Identifiers

PMID40867565
PMCPMC12383506

What Socratic 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 Socratic graph.