Evidence map›Paper›PMID 39623297›Full record

ArticleBMC genomics2024

Cross-species single-cell analysis reveals divergence and conservation of peripheral blood mononuclear cells.

Siyu Zhang, Xiang Fang, Mengyang Chang, Ming Zheng, Lijin Guo, Yibin Xu, Jingting Shu, Qinghua Nie, Zhenhui Li

Abstract read
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 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

9 authors.

Siyu Zhang *State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
Xiang Fang *Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, 999077, China.
Mengyang Chang *Institute of Aquatic Biotechnology, College of Life Sciences, Qingdao University, Qingdao, Liaoning, 266071, China.
Ming ZhengState Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
Lijin GuoState Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
Yibin XuState Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
Jingting ShuKey Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Jiangsu Institute of Poultry Science, Yangzhou, Jiangsu, 225125, China. shujingting@163.com.
Qinghua NieState Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China. nqinghua@scau.edu.cn.
Zhenhui LiState Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China. lizhenhui@scau.edu.cn.

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2022B1515120049National Key Research and Development Program of China 2021YFD1300100Project of the Seed Industry Revitalization of Department of Agriculture and Rural AffairsProject of the Seed Industry Revitalization of Department of Agriculture and Rural Affairs of Guangdong Province 2022-XPY-05-001Science and Technology Program of Guangzhou 202201010507
6 · The paper itself

Abstract

backgroundSingle-cell transcriptome sequencing (scRNA-seq) has revolutionized the study of immune cells by overcoming the limitations of traditional antibody-based identification and isolation methods. This advancement allows us to obtain comprehensive gene expression profiles from a diverse array of vertebrate species, facilitating the identification of various cell types. Comparative immunology across vertebrates presents a promising approach to understanding the evolution of immune cell types. In this study, we conducted a comparative transcriptome analysis of peripheral blood mononuclear cells (PBMCs) at the single-cell level across 12 species.

resultsOur findings shed light on the cellular compositional features of PBMCs, spanning from fish to mammals. Notably, we identified genes that exhibit vertebrate universality in characterizing immune cells. Moreover, our investigation revealed that monocytes have maintained a conserved transcriptional regulatory program throughout evolution, emphasizing their pivotal role in orchestrating immune cells to execute immune programs.

conclusionsThis comprehensive analysis provides valuable insights into the evolution of immune cells across vertebrates.

Indexed as

Leukocytes, MononuclearSingle-Cell AnalysisAnimalsGene Expression ProfilingHumansSpecies SpecificityTranscriptomeVertebratesAcross speciesAdaptive immunityEvolutionInnate immunityscRNA-seq

Identifiers

PMID39623297
PMCPMC11613757

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Registered trials

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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.