Evidence map›Paper›PMID 41983083›Full record

ArticleFrontiers in genetics2026

A single-cell multi-omics atlas of human eyelid skin.

Weiguang Ma, Yanwen Xu, Junjie Chen, Yue Yuan, Xiaoyu Wei, Qiuting Deng, Ruikang Li, Jiaxin Du, Zhongjin Zhang, Zhentao Zhou and 6 more

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In one paragraph

Article in Frontiers in genetics, 2026. 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

16 authors.

Weiguang Ma *School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.
Yanwen Xu *Department of Medical Cosmetic Center, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, Zhejiang, China.
Junjie Chen *BGI Research, Shenzhen, China.
Yue YuanBGI Research, Shenzhen, China.
Xiaoyu WeiBGI Research, Shenzhen, China.
Qiuting DengBGI Research, Shenzhen, China.
Ruikang LiBGI Research, Hangzhou, China.
Jiaxin DuBGI Research, Hangzhou, China.
Zhongjin ZhangBGI Research, Hangzhou, China.
Zhentao ZhouDepartment of Medical Cosmetic Center, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, Zhejiang, China.
Quhuan LiSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.
Haiyan ShenDepartment of Medical Cosmetic Center, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, Zhejiang, China.
Jufang ZhangDepartment of Medical Cosmetic Center, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, Zhejiang, China.
Jufang WangSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.
Pengfei CaiBGI Research, Shenzhen, China.
Pengcheng GuoSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The skin acts as the first barrier protecting the human body against the external environment. Transcriptional heterogeneity in human skin is widely confirmed, but the regulatory mechanisms remain largely unexplored. In this study, we employed high-throughput single-cell chromatin accessibility and transcriptome sequencing (HT-scCAT-seq), a technique for simultaneous analysis of the transcriptome and epigenome. We used HT-scCAT-seq to analyze 10,065 cell profiles from four adult human eyelid skin and define 13 distinct cell types. In addition, we described detailed molecular signatures and identified key gene regulatory network enriched in each cell type. Our dataset is a valuable resource for further research in human skin biology.

Indexed as

datasetgene regulatory networkhuman skinmulti-omicssingle cell

Identifiers

PMID41983083
PMCPMC13075857

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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.