Evidence map›Paper›PMID 42903992›Full record

ArticlehLife2025

Single-cell RNA sequencing profiles age-related transcriptional landscapes in human hair follicle cells.

Qian Zhao, Rui Ma, Kun Huang, Juan Wang, Donglin Zhang, Jingyuan Wang, Xiaofeng Ding, Feiyun Chen, Sijia Zhao, Na Ni and 9 more

Abstract read
In one paragraph

Article in hLife, 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

19 authors.

Qian ZhaoBGI Cell, Shenzhen, Guangdong, China.
Rui MaBGI Cell, Shenzhen, Guangdong, China.
Kun HuangBGI Cell, Shenzhen, Guangdong, China.
Juan WangSchool of Medicine, Shanghai University, Shanghai, China.
Donglin ZhangBGI Cell, Shenzhen, Guangdong, China.
Jingyuan WangBGI Cell, Shenzhen, Guangdong, China.
Xiaofeng DingDepartment of Dermatologic Surgery, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, China.
Feiyun ChenClin Lab, BGI Genomics, Shanghai, China.
Sijia ZhaoDepartment of Dermatologic Surgery, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, China.
Na NiDepartment of Dermatologic Surgery, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, China.
Xiaodie ZhangDepartment of Dermatologic Surgery, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, China.
Qian DuDepartment of Dermatologic Surgery, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, China.
Xiaojun LinBGI Cell, Shenzhen, Guangdong, China.
Hua WanBGI Cell, Shenzhen, Guangdong, China.
Jianglin ZhangDepartment of Dermatology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Guangdong, China.
Xiaolei DingShanghai Engineering Research Center of Organ Repair, Joint International Research Laboratory of Biomaterials and Biotechnology in Organ Repair (Ministry of Education), School of Medicine, Shanghai University, Shanghai, China.
Shuang YangBGI Cell, Shenzhen, Guangdong, China.
Fengping XuBGI Cell, Shenzhen, Guangdong, China.
Yongxian LaiDepartment of Dermatologic Surgery, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hair loss and graying, the earliest visible signs of skin aging, are driven by the functional decline of hair follicle stem cells and their niches. To elucidate the transcriptional mechanisms involved in scalp aging, we conducted a comprehensive analysis of human scalp samples using single-cell RNA sequencing and spatial transcriptomic technologies. Our study profiled the transcriptomes of 57,181 cells from scalp samples obtained from four young, six middle-aged, and one elderly individual. The integrated bioinformatic pipeline included cell clustering, spatial deconvolution, pseudotime trajectory, as well as cell-type specific gene expression, and intercellular communication analysis. An additional 92 volunteers were included, comprising 90 (37 young, 27 middle-aged, and 26 elderly) for trichoscopic examination, one young individual for senescence-associated β-galactosidase (SA-β-gal) staining, and one elderly individual for both MKI67 immunofluorescence and SA-β-gal staining. This approach led to several key findings: we identified three subtypes of mitotic keratinocytes that localized in the interfollicular epidermis (IFE), outer root sheath (ORS), and hair matrix, with pseudotime trajectory further confirming their transitional stage. Furthermore, in middle-aged scalps, we observed activated activator protein 1 (AP-1) transcription factor complex in keratinocytes, upregulated

Indexed as

agingcell-type-specific gene expressionhair follicleintercellular communication

Identifiers

PMID42903992
PMCPMC13681660

What OpenQuestion holds

Textmetadata
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.