Evidence map›Paper›PMID 37792336›Full record

ArticleInvestigative ophthalmology & visual science2023

Single-Cell Transcriptomics Reveals Cellular Heterogeneity and Complex Cell-Cell Communication Networks in the Mouse Cornea.

Yueh-Feng Wu, Nai-Wen Chang, Li-An Chu, Hsin-Yu Liu, Yu-Xian Zhou, Yun-Lin Pai, Yu-Sheng Yu, Chen-Hsiang Kuan, Yu-Ching Wu, Sung-Jan Lin and 1 more

Open access · goldAbstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
5.7field-weighted citation impact, top 3% 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

20 citing papers in PubMed, 25 citations in OpenAlex.

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  11. Review
  12. Contact Lens Wear Alters Transcriptional Responses tobioRxiv : the preprint server for biology · 2024
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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

11 authors at 4 institutions in 1 country.

Yueh-Feng WuDepartment of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan.
Nai-Wen ChangDepartment of Medical Research, National Taiwan University Hospital, Taipei, Taiwan.
Li-An ChuDepartment of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan.
Hsin-Yu LiuGraduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.
Yu-Xian ZhouDepartment of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan.
Yun-Lin PaiDepartment of Biochemical Science and Technology, College of Life Science, National Taiwan University, Taipei, Taiwan.
Yu-Sheng YuDepartment of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan.
Chen-Hsiang KuanGraduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.
Yu-Ching WuDepartment of Medical Research, National Taiwan University Hospital, Taipei, Taiwan.
Sung-Jan LinDepartment of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan.
Hsin-Yuan TanDepartment of Ophthalmology, Chang Gung Memorial Hospital, Linkou, Taiwan.
National Taiwan University · TWChang Gung University · TWNational Taiwan University Hospital · TWNational Tsing Hua University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To generate a single-cell RNA-sequencing (scRNA-seq) map and construct cell-cell communication networks of mouse corneas. Methods: C57BL/6 mouse corneas were dissociated to single cells and subjected to scRNA-seq. Cell populations were clustered and annotated for bioinformatic analysis using the R package "Seurat." Differential expression patterns were validated and spatially mapped with whole-mount immunofluorescence staining. Global intercellular signaling networks were constructed using CellChat. Results: Unbiased clustering of scRNA-seq transcriptomes of 14,732 cells from 40 corneas revealed 17 cell clusters of six major cell types: nine epithelial cell, three keratocyte, two corneal endothelial cell, and one each of immune cell, vascular endothelial cell, and fibroblast clusters. The nine epithelial cell subtypes included quiescent limbal stem cells, transit-amplifying cells, and differentiated cells from corneas and two minor conjunctival epithelial clusters. CellChat analysis provided an atlas of the complex intercellular signaling communications among all cell types. Conclusions: We constructed a complete single-cell transcriptomic map and the complex signaling cross-talk among all cell types of the cornea, which can be used as a foundation atlas for further research on the cornea. This study also deepens the understanding of the cellular heterogeneity and heterotypic cell-cell interaction within corneas.

Indexed as

CorneaTranscriptomeAnimalsCell CommunicationEpithelial CellsMiceMice, Inbred C57BL

Identifiers

PMID37792336
PMCPMC10565710
OpenAlexW4387326958

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.