Evidence map›Paper›PMID 40013957›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Revealing the Transcriptional and Metabolic Characteristics of Sebocytes Based on the Donkey Cell Transcriptome Atlas.

Yu Tian, Shuqin Liu, Hongtao Shi, Jianjun Li, Xinglong Wan, Yujiang Sun, Huayun Li, Ning Cao, Zhixi Feng, Teng Zhang and 2 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

12 authors.

Yu TianCollege of Animal Science and Technology, Qingdao Agricultural University, Qingdao, 266109, China.
Shuqin LiuCollege of Animal Science and Technology, Qingdao Agricultural University, Qingdao, 266109, China.
Hongtao ShiSchool of Science and Information Science, Qingdao Agricultural University, Qingdao, 266109, China.
Jianjun LiNational Dezhou Donkey Original Breeding Farm, Binzhou, 251903, China.
Xinglong WanSchool of Science and Information Science, Qingdao Agricultural University, Qingdao, 266109, China.
Yujiang SunCollege of Animal Science and Technology, Qingdao Agricultural University, Qingdao, 266109, China.
Huayun LiAnnoroad Gene Technology, Beijing, 100176, China.
Ning CaoAnnoroad Gene Technology, Beijing, 100176, China.
Zhixi FengAnnoroad Gene Technology, Beijing, 100176, China.
Teng ZhangState Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock (R2BGL), College of Life Sciences, Inner Mongolia University, Hohhot, 010070, China.
Junjie WangCollege of Animal Science and Technology, Qingdao Agricultural University, Qingdao, 266109, China.
Wei ShenCollege of Animal Science and Technology, Qingdao Agricultural University, Qingdao, 266109, China.ORCID https://orcid.org/0000-0001-6112-2501

Funding

Donkey Innovation Team of Shandong Modern Agricultural Industry Technology System SDAIT-27Inner Mongolia Autonomous Region Science and Technology Plan 2023YFHH0114Ministry of Agriculture and Rural Affairs of China 19230558Ministry of Agriculture and Rural Affairs of China 19240887Science and Technology Major Project of Inner Mongolia Autonomous Region of China to the State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock 2021ZD0048Taishan Scholar Construction Foundation of Shandong Province ts20190946
6 · The paper itself

Abstract

Worldwide, donkeys (Equus asinus) are valued for their meat and milk, and in China also for the medical value of their skin. Physiological characteristics are key to the donkey's adaptability, including their digestive, respiratory, and reproductive systems, which enable them to survive and work in a variety of environments. However, the understanding of donkey physiological characteristics at the cellular level remains poor. Thus, single-cell transcriptome sequencing is used to construct a detailed transcriptional atlas based on 20 tissues from the Dezhou donkey (in total 84 cell types and 275 050 high quality cells) to perform an in-depth investigation of molecular physiology. Cross-species and cross-tissue comparative analyses reveal SOX10 to be an evolutionally conserved regulon in oligodendrocytes and illuminate the distinctive transcriptional patterns of donkey sebocytes. Moreover, through multispecies skin metabolomics, highly abundant, species-specific metabolites in donkey skin are identified, such as arachidonic acid and gamma-glutamylcysteine, and the pivotal role of sebocytes in donkey skin metabolism is highlighted. In summary, this work offers new insights into the unique metabolic patterns of donkey skin and provides a valuable resource for the conservation of donkey germplasm and the advancement of selective breeding programs.

Indexed as

EquidaeTranscriptomeAnimalsGene Expression ProfilingSkincross‐species analysisdonkeymetabolomicsmulti‐tissue single‐cell transcriptomic atlassebocyte

Identifiers

PMID40013957
PMCPMC12021041

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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.