Evidence map›Paper›PMID 37979077›Full record

ArticleGenes & genomics2024

Single-cell transcriptomic analysis reveals transcriptional and cell subpopulation differences between human and pig immune cells.

Jie Li, Yanan Xu, Jiayu Zhang, Zhaoqi Zhang, Han Guo, Dong Wei, Changhong Wu, Tang Hai, Hai-Xi Sun, Yong Zhao

Abstract read
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In one paragraph

Article in Genes & genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.2field-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

13 citing papers in PubMed, 10 citations in OpenAlex.

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  11. Immunometabolism of Liver Xenotransplantation and Prospective Solutions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  12. Article
  13. Advances in single-cell transcriptomics in animal research.Journal of animal science and biotechnology · 2024
    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

10 authors at 5 institutions in 2 countries.

Jie Li *State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beichen West Road 1-5, Chaoyang District, Beijing, 100101, China.
Yanan Xu *State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beichen West Road 1-5, Chaoyang District, Beijing, 100101, China.
Jiayu Zhang *State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beichen West Road 1-5, Chaoyang District, Beijing, 100101, China.
Zhaoqi Zhang *State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beichen West Road 1-5, Chaoyang District, Beijing, 100101, China.
Han GuoState Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beichen West Road 1-5, Chaoyang District, Beijing, 100101, China.
Dong WeiState Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beichen West Road 1-5, Chaoyang District, Beijing, 100101, China.
Changhong WuState Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beichen West Road 1-5, Chaoyang District, Beijing, 100101, China.
Tang HaiBeijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China. haitang@ioz.ac.cn.
Hai-Xi SunUniversity of Chinese Academy of Sciences, Beijing, 100049, China. sunhaixi@genomics.cn.
Yong ZhaoState Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beichen West Road 1-5, Chaoyang District, Beijing, 100101, China. zhaoy@ioz.ac.cn.ORCID 0000-0003-2850-3008
Chinese Academy of Sciences · CNBGI Group (China) · CNHebei Medical University · CNInstitute for Stem Cell Biology and Regenerative Medicine · INShenzhen Institute of Information Technology · CN

Funding

National Natural Science Foundation of China 31930041
6 · The paper itself

Abstract

backgroundThe pig is a promising donor candidate for xenotransplantation. Understanding the differences between human and swine immune systems is critical for addressing xenotransplant rejection and hematopoietic reconstitution. The gene transcriptional profile differences between human and pig immune cell subpopulations have not been studied. To assess the similarities and differences between pigs and humans at the levels of gene transcriptional profiles or cell subpopulations are important for better understanding the cross-species similarity of humans and pigs, and it would help establish the fundamental principles necessary to genetically engineer donor pigs and improve xenotransplantation.

objectiveTo assess the gene transcriptional similarities and differences between pigs and humans.

methodsTwo pigs and two healthy humans' PBMCs were sorted for 10 × genomics single-cell sequence. We generated integrated human-pig scRNA-seq data from human and pig PBMCs and defined the overall gene expression landscape of pig peripheral blood immune cell subpopulations by updating the set of human-porcine homologous genes. The subsets of immune cells were detected by flow cytometry.

resultsThere were significantly less T cells, NK cells and monocytes but more B cells in pig peripheral blood than those in human peripheral blood. High oxidative phosphorylation, HIF-1, glycolysis, and lysosome-related gene expressions in pig CD14

conclusionOur research with integrated scRNA-seq assays identified the different distribution of pig immune cell subpopulations and the different transcriptional profiles of human and pig immune cells. This study enables a deeper understanding of the development and function of porcine immune cells.

Indexed as

CD8-Positive T-LymphocytesMonocytesAnimalsGene Expression ProfilingHumansKiller Cells, NaturalSwineTransplantation, HeterologousCross-speciesHumanImmune systemPBMCsPigscRNA-seq

Identifiers

PMID37979077
OpenAlexW4388794364

What OpenQuestion holds

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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.