Reference Transcriptomes of Porcine Peripheral Immune Cells Created Through Bulk and Single-Cell RNA Sequencing

被引:33
|
作者
Herrera-Uribe, Juber [1 ]
Wiarda, Jayne E. [2 ,3 ,4 ]
Sivasankaran, Sathesh K. [2 ,5 ]
Daharsh, Lance [1 ]
Liu, Haibo [1 ]
Byrne, Kristen A. [2 ]
Smith, Timothy P. L. [6 ]
Lunney, Joan K. [7 ]
Loving, Crystal L. [2 ]
Tuggle, Christopher K. [1 ]
机构
[1] Iowa State Univ, Dept Anim Sci, Ames, IA 50011 USA
[2] ARS, Food Safety & Enter Pathogens Res Unit, Natl Anim Dis Ctr, USDA, Ames, IA 50011 USA
[3] Iowa State Univ, Immunobiol Grad Program, Ames, IA USA
[4] Oak Ridge Inst Sci & Educ, ARS, Participat Program, Oak Ridge, TN USA
[5] Iowa State Univ, Genome Informat Facil, Ames, IA USA
[6] ARS, USDA, US Meat Anim Res Ctr, Clay Ctr, NE USA
[7] USDA ARS, Beltsville Agr Res Ctr, Anim Parasit Dis Lab, Beltsville, MD USA
基金
美国食品与农业研究所;
关键词
pig; immune cells; transcriptome; single-cell RNA-seq; bulkRNA-seq; FAANG; DELTA T-CELLS; NK CELLS; MONOCLONAL-ANTIBODIES; NATURAL-KILLER; EXPRESSION; BLOOD; GENE; IDENTIFICATION; SUBSETS; LYMPHOCYTES;
D O I
10.3389/fgene.2021.689406
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Pigs are a valuable human biomedical model and an important protein source supporting global food security. The transcriptomes of peripheral blood immune cells in pigs were defined at the bulk cell-type and single cell levels. First, eight cell types were isolated in bulk from peripheral blood mononuclear cells (PBMCs) by cell sorting, representing Myeloid, NK cells and specific populations of T and B-cells. Transcriptomes for each bulk population of cells were generated by RNA-seq with 10,974 expressed genes detected. Pairwise comparisons between cell types revealed specific expression, while enrichment analysis identified 1,885 to 3,591 significantly enriched genes across all 8 cell types. Gene Ontology analysis for the top 25% of significantly enriched genes (SEG) showed high enrichment of biological processes related to the nature of each cell type. Comparison of gene expression indicated highly significant correlations between pig cells and corresponding human PBMC bulk RNA-seq data available in Haemopedia. Second, higher resolution of distinct cell populations was obtained by single-cell RNA-sequencing (scRNA-seq) of PBMC. Seven PBMC samples were partitioned and sequenced that produced 28,810 single cell transcriptomes distributed across 36 clusters and classified into 13 general cell types including plasmacytoid dendritic cells (DC), conventional DCs, monocytes, B-cell, conventional CD4 and CD8 alpha beta T-cells, NK cells, and gamma delta T-cells. Signature gene sets from the human Haemopedia data were assessed for relative enrichment in genes expressed in pig cells and integration of pig scRNA-seq with a public human scRNA-seq dataset provided further validation for similarity between human and pig data. The sorted porcine bulk RNAseq dataset informed classification of scRNA-seq PBMC populations; specifically, an integration of the datasets showed that the pig bulk RNAseq data helped define the CD4CD8 double-positive T-cell populations in the scRNA-seq data. Overall, the data provides deep and well-validated transcriptomic data from sorted PBMC populations and the first single-cell transcriptomic data for porcine PBMCs. This resource will be invaluable for annotation of pig genes controlling immunogenetic traits as part of the porcine Functional Annotation of Animal Genomes (FAANG) project, as well as further study of, and development of new reagents for, porcine immunology.
引用
收藏
页数:27
相关论文
共 50 条
  • [1] Peripheral immune cell death in sepsis based on bulk RNA and single-cell RNA sequencing
    Liu, Shanshou
    Duan, Chujun
    Xie, Jiangang
    Zhang, Jinxin
    Luo, Xu
    Wang, Qianmei
    Liang, Xiaoli
    Zhao, Xiaojun
    Zhuang, Ran
    Zhao, Wei
    Yin, Wen
    [J]. HELIYON, 2023, 9 (07)
  • [2] Single-cell RNA sequencing reveals a peripheral landscape of immune cells in Schistosomiasis japonica
    Li, Junhui
    Zhang, Yu
    Li, Hao
    Jiang, Jie
    Guo, Chen
    Zhou, Zhaoqin
    Luo, Yulin
    Zhou, Chen
    Ming, Yingzi
    [J]. PARASITES & VECTORS, 2023, 16 (01)
  • [3] Single-cell RNA sequencing reveals a peripheral landscape of immune cells in Schistosomiasis japonica
    Junhui Li
    Yu Zhang
    Hao Li
    Jie Jiang
    Chen Guo
    Zhaoqin Zhou
    Yulin Luo
    Chen Zhou
    Yingzi Ming
    [J]. Parasites & Vectors, 16
  • [4] Predicting immunotherapy toxicity through single-cell sequencing of peripheral immune cells: A pilot study
    Lim, Jennifer Wen Ying
    Chin, Venessa T.
    Keith, Patricia
    McCloy, Rachael
    Neavin, Drew
    Xue, Angli
    Kaczorowski, Dominik
    Spenceley, Ellie
    Arora, Himanshi
    Joshua, Anthony M.
    Powell, Joseph
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2024, 42 (16)
  • [5] From bulk, single-cell to spatial RNA sequencing
    Xinmin Li
    Cun-Yu Wang
    [J]. International Journal of Oral Science, 2021, 13 (04) : 339 - 344
  • [6] From bulk, single-cell to spatial RNA sequencing
    Li, Xinmin
    Wang, Cun-Yu
    [J]. INTERNATIONAL JOURNAL OF ORAL SCIENCE, 2021, 13 (01)
  • [7] Single-cell RNA sequencing of immune cells in patients with acute gout
    Jan-Gowth Chang
    Siang-Jyun Tu
    Chung-Ming Huang
    Yu-Chia Chen
    Hui-Shan Chiang
    Ya-Ting Lee
    Ju-Chen Yen
    Chia-Li Lin
    Chin-Chun Chung
    Ta-Chih Liu
    Ya-Sian Chang
    [J]. Scientific Reports, 12
  • [8] Single-cell RNA sequencing of immune cells in gastric cancer patients
    Fu, Kai
    Hui, Bingqing
    Wang, Qian
    Lu, Chen
    Shi, Weihong
    Zhang, Zhigang
    Rong, Dawei
    Zhang, Betty
    Tian, Zhaofeng
    Tang, Weiwei
    Cao, Hongyong
    Wang, Xuehao
    Chen, Ziyi
    [J]. AGING-US, 2020, 12 (03): : 2747 - 2763
  • [9] From bulk, single-cell to spatial RNA sequencing
    Xinmin Li
    Cun-Yu Wang
    [J]. International Journal of Oral Science, 2021, 13
  • [10] Single-cell RNA sequencing of immune cells in patients with acute gout
    Chang, Jan-Gowth
    Tu, Siang-Jyun
    Huang, Chung-Ming
    Chen, Yu-Chia
    Chiang, Hui-Shan
    Lee, Ya-Ting
    Yen, Ju-Chen
    Lin, Chia-Li
    Chung, Chin-Chun
    Liu, Ta-Chih
    Chang, Ya-Sian
    [J]. SCIENTIFIC REPORTS, 2022, 12 (01)