Evidence map›Paper›PMID 39806376›Full record

ReviewJournal of translational medicine2025

Single-cell sequencing in diabetic retinopathy: progress and prospects.

Tianshu Yang, Ningzhi Zhang, Ning Yang

Abstract readReview
In one paragraph

Review in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

3 authors.

Tianshu YangDepartment of Ophthalmology, Renmin Hospital of Wuhan University, Jiefang Road, Wuhan, Hubei, 430060, China.
Ningzhi ZhangDepartment of Ophthalmology, Renmin Hospital of Wuhan University, Jiefang Road, Wuhan, Hubei, 430060, China.
Ning YangDepartment of Ophthalmology, Renmin Hospital of Wuhan University, Jiefang Road, Wuhan, Hubei, 430060, China. rootyangning@whu.edu.cn.ORCID 0000-0003-3036-0202

Funding

Fundamental Research Funds for the Central Universities 2042020kf0065Hubei Key Laboratories Opening Project 2021KFY055Natural Science Foundation of Hubei Province 2020CFB240Natural Science Foundation of Hubei Province 2023AFC019
6 · The paper itself

Abstract

Diabetic retinopathy is a major ocular complication of diabetes, characterized by progressive retinal microvascular damage and significant visual impairment in working-age adults. Traditional bulk RNA sequencing offers overall gene expression profiles but does not account for cellular heterogeneity. Single-cell RNA sequencing overcomes this limitation by providing transcriptomic data at the individual cell level and distinguishing novel cell subtypes, developmental trajectories, and intercellular communications. Researchers can use single-cell sequencing to draw retinal cell atlases and identify the transcriptomic features of retinal cells, enhancing our understanding of the pathogenesis and pathological changes in diabetic retinopathy. Additionally, single-cell sequencing is widely employed to analyze retinal organoids and single extracellular vesicles. Single-cell multi-omics sequencing integrates omics information, whereas stereo-sequencing analyzes gene expression and spatiotemporal data simultaneously. This review discusses the protocols of single-cell sequencing for obtaining single cells from retina and accurate sequencing data. It highlights the applications and advancements of single-cell sequencing in the study of normal retinas and the pathological changes associated with diabetic retinopathy. This underscores the potential of these technologies to deepen our understanding of the pathogenesis of diabetic retinopathy that may lead to the introduction of new therapeutic strategies.

Indexed as

Diabetic RetinopathySequence Analysis, RNASingle-Cell AnalysisAnimalsHumansRetinaDiabetic retinopathyRetinal cell atlasSingle-cell multi-omics sequencingSingle-cell RNA sequencingSpatial multi-omics sequencing

Identifiers

PMID39806376
PMCPMC11727737

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.