Evidence map›Paper›PMID 37870215›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

Single-Cell RNA-Sequencing Provides Insight into Skeletal Muscle Evolution during the Selection of Muscle Characteristics.

Doudou Xu, Boyang Wan, Kai Qiu, Yubo Wang, Xin Zhang, Ning Jiao, Enfa Yan, Jiangwei Wu, Run Yu, Shuai Gao and 5 more

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
8.3field-weighted citation impact, top 2% 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

35 citing papers in PubMed, 44 citations in OpenAlex.

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  20. Veterinary world · 2025
    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

15 authors at 9 institutions in 2 countries.

Doudou XuState Key Laboratory of Animal Nutrition and feeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Boyang WanState Key Laboratory of Animal Nutrition and feeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Kai QiuState Key Laboratory of Animal Nutrition and feeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Yubo WangState Key Laboratory of Animal Nutrition and feeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Xin ZhangState Key Laboratory of Animal Nutrition and feeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Ning JiaoState Key Laboratory of Animal Nutrition and feeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Enfa YanState Key Laboratory of Animal Nutrition and feeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Jiangwei WuKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China.
Run YuBeijing National Day School, Beijing, 100039, China.
Shuai GaoKey Laboratory of Animal Genetics, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Min DuNutrigenomics and Growth Biology Laboratory, Department of Animal Sciences and School of Molecular Bioscience, Washington State University, Pullman, WA, 99164, USA.
Chousheng LiuNational Animal Husbandry Service, Beijing, 100125, China.
Mingzhou LiInstitute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 625014, China.
Guoping FanDepartment of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90095, USA.
Jingdong YinState Key Laboratory of Animal Nutrition and feeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.ORCID 0000-0003-4623-0568
China Agricultural University · CNMinistry of Finance of the People's Republic of China · CNBeijing University of Agriculture · CNCentral Academy of Fine Arts · CNNational Animal Husbandry Service · CNNorthwest A&F University · CNSichuan Agricultural University · CNUniversity of California, Los Angeles · USWashington State University · US

Funding

the Major Project of the National Nutural Science Foundation of China 31790412the National Key R&D Program of China 2018YFD0500402
6 · The paper itself

Abstract

Skeletal muscle comprises a large, heterogeneous assortment of cell populations that interact to maintain muscle homeostasis, but little is known about the mechanism that controls myogenic development in response to artificial selection. Different pig (Sus scrofa) breeds exhibit distinct muscle phenotypes resulting from domestication and selective breeding. Using unbiased single-cell transcriptomic sequencing analysis (scRNA-seq), the impact of artificial selection on cell profiles is investigated in neonatal skeletal muscle of pigs. This work provides panoramic muscle-resident cell profiles and identifies novel and breed-specific cells, mapping them on pseudotime trajectories. Artificial selection has elicited significant changes in muscle-resident cell profiles, while conserving signs of generational environmental challenges. These results suggest that fibro-adipogenic progenitors serve as a cellular interaction hub and that specific transcription factors identified here may serve as candidate target regulons for the pursuit of a specific muscle phenotype. Furthermore, a cross-species comparison of humans, mice, and pigs illustrates the conservation and divergence of mammalian muscle ontology. The findings of this study reveal shifts in cellular heterogeneity, novel cell subpopulations, and their interactions that may greatly facilitate the understanding of the mechanism underlying divergent muscle phenotypes arising from artificial selection.

Indexed as

AdipogenesisMuscle, SkeletalAnimalsHumansMammalsMiceMuscle DevelopmentPhenotypeRNARNAfibro-adipogenic progenitorsmuscle characteristicsneonatal myogenesispigs, single-cell RNA-sequencing

Identifiers

PMID37870215
PMCPMC10724408
OpenAlexW4387866398

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.