Evidence map›Paper›PMID 38087243›Full record

ArticleBMC genomics2023

Single-nucleus transcriptome sequencing reveals hepatic cell atlas in pigs.

Jun-Hong Zhu, Xuan-Cheng Guan, Lan-Lan Yi, Hong Xu, Qiu-Yan Li, Wen-Jie Cheng, Yu-Xiao Xie, Wei-Zhen Li, Hong-Ye Zhao, Hong-Jiang Wei and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Pigs with CD163 Mutation Conferred PRRSV Resistance.Animals : an open access journal from MDPI · 2026
    Article
  3. Review
  4. Article
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 2 institutions in 1 country.

Jun-Hong Zhu *Yunnan Key Laboratory of Animal Nutrition and Feed Science, Yunnan Agricultural University, Kunming, 650201, China.
Xuan-Cheng Guan *Yunnan Key Laboratory of Animal Nutrition and Feed Science, Yunnan Agricultural University, Kunming, 650201, China.
Lan-Lan Yi *Yunnan Key Laboratory of Animal Nutrition and Feed Science, Yunnan Agricultural University, Kunming, 650201, China.
Hong XuSchool of Public Finance and Economics, Yunnan University of Finance and Economics, Kunming, 650221, China.
Qiu-Yan LiYunnan Key Laboratory of Animal Nutrition and Feed Science, Yunnan Agricultural University, Kunming, 650201, China.
Wen-Jie ChengYunnan Key Laboratory of Animal Nutrition and Feed Science, Yunnan Agricultural University, Kunming, 650201, China.
Yu-Xiao XieYunnan Key Laboratory of Animal Nutrition and Feed Science, Yunnan Agricultural University, Kunming, 650201, China.
Wei-Zhen LiCollege of Veterinary Medicine, Yunnan Agricultural University, Kunming, 650201, China.
Hong-Ye ZhaoYunnan Province Key Laboratory for Porcine Gene Editing and Xenotransplantation, Yunnan Agricultural University, Kunming, 650201, China.
Hong-Jiang WeiYunnan Province Key Laboratory for Porcine Gene Editing and Xenotransplantation, Yunnan Agricultural University, Kunming, 650201, China. hongjiangwei@126.com.
Su-Mei ZhaoYunnan Key Laboratory of Animal Nutrition and Feed Science, Yunnan Agricultural University, Kunming, 650201, China. zhaosm2009@126.com.
Yunnan Agricultural University · CNYunnan University of Finance And Economics · CN

Funding

Major Science and Technology Project of Yunnan Province 202202AE090032National Natural Science Foundation of China 31760645Scientific Research Fund of Yunnan Provincial Department of Education 2023Y0975State School Cooperation 2020ZXND02Technological Innovation Talent Program 2020FA011
6 · The paper itself

Abstract

backgroundAs the largest substantive organ of animals, the liver plays an essential role in the physiological processes of digestive metabolism and immune defense. However, the cellular composition of the pig liver remains poorly understood. This investigation used single-nucleus RNA sequencing technology to identify cell types from liver tissues of pigs, providing a theoretical basis for further investigating liver cell types in pigs.

resultsThe analysis revealed 13 cells clusters which were further identified 7 cell types including endothelial cells, T cells, hepatocytes, Kupffer cells, stellate cells, B cells, and cholangiocytes. The dominant cell types were endothelial cells, T cells and hepatocytes in the liver tissue of Dahe pigs and Dahe black pigs, which accounts for about 85.76% and 82.74%, respectively. The number of endothelial cells was higher in the liver tissue of Dahe pigs compared to Dahe black pigs, while the opposite tendency was observed for T cells. Moreover, functional enrichment analysis demonstrated that the differentially expressed genes in pig hepatic endothelial cells were significantly enriched in the protein processing in endoplasmic reticulum, MAPK signaling pathway, and FoxO signaling pathway. Functional enrichment analysis demonstrated that the differentially expressed genes in pig hepatic T cells were significantly enriched in the thyroid hormone signaling pathway, B cell receptor signaling pathway, and focal adhesion. Functional enrichment analysis demonstrated that the differentially expressed genes in pig hepatic hepatocytes were significantly enriched in the metabolic pathways.

conclusionsIn summary, this study provides a comprehensive cell atlas of porcine hepatic tissue. The number, gene expression level and functional characteristics of each cell type in pig liver tissue varied between breeds.

Indexed as

Endothelial CellsTranscriptomeAnimalsHepatocytesLiverPlant BreedingSwineCell atlasDahe black pigsDahe pigsHepatic tissueSingle-nucleus RNA sequencing

Identifiers

PMID38087243
PMCPMC10717992
OpenAlexW4389614646

What OpenQuestion holds

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LicenceCC BY
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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.