Single-cell RNA sequencing deciphers transcriptional profiles of hepatocytes in mouse with hepatic alveolar echinococcosis
10.16250/j.32.1374.2022275
- VernacularTitle:基于单细胞转录组测序解析小鼠肝泡型棘球蚴病 肝脏细胞转录谱特征
- Author:
Qingqing YANG
1
;
Wanzhong JIA
2
;
Xiangqian WANG
3
;
Qigang CAI
4
;
Xin GE
5
;
Wei WANG
6
;
Xiumin HAN
3
Author Information
1. Medical School of Qinghai University, Xining, Qinghai 810000, China
2. Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, State Key Laboratory of Veterinary Etiological Biology, China
3. Qinghai Provincial People’s Hospital, Xining, Qinghai 810000, China
4. Qinghai Academy of Animal Science and Veterinary Medicine, Qinghai University, China
5. Wuxi Ninth Hospital, Jiangsu Province, China
6. National Health Commission Key Laboratory on Parasitic Disease Prevention and Control, Jiangsu Provincial Key Laboratory on Parasites and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
- Publication Type:Journal Article
- Keywords:
Alveolar echinococcosis;
Single-cell RNA sequencing;
Tissue microenvironment;
Transcriptional profile
- From:
Chinese Journal of Schistosomiasis Control
2023;35(3):236-243
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the cell composition and the transcriptional characteristics in microenvironments of hepatic tissues in mice at late stage of Echinococcus multilocularis infection at a single-cell level. Methods Peri-lesion and paired distal hepatic specimens were collected from two BALB/c mice (6 to 8 weeks old) infected with E. multilocularis for single-cell RNA sequencing. The Seurat package in the R software was employed for quality control of data, multi-sample integration and correction of batch effects, and uniform manifold approximation and projection (UMAP) algorithm was used for cell clustering. Cell types were annotated using classical marker genes. Differentially expressed genes were screened in each cell type through differential gene expression analysis, and the biological roles of cells were predicted using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Results A total of 43 710 cells from peri-lesion and distal hepatic tissues of E. multilocularis-infected mice were analyzed, and were classified into 11 cell types, including neutrophils, T cells, macrophages, granulocyte-monocyte progenitor cells, B cells, plasma cells, basophils, hepatic stellate cells, endothelial cells, hepatocytes, and platelets. T cells were the largest population of immune cells in the microenvironment of hepatic tissues, including five CD4+ T cell subsets, two CD8+ T cell subsets and phosphoantigen-reactive γδT cells. The proportions of CD4+ helper T cells and cytotoxic CD4+ T cells decreased and the proportion of T helper 2 (Th2) cells increased in peri-lesion tissues relative to distal hepatic tissues. In addition, the differentially expressed genes in Th2 cells were associated with negative regulation of the immune system, and the highly expressed genes in cytotoxic CD4+ T cells correlated with activation of the immune system. Conclusions Single-cell RNA sequencing deciphers the cell composition and distribution in microenvironments of hepatic tissues from mice infected with E. multilocularis, and the increased proportion of Th2 cells in peri-lesion hepatic tissues may be associated with formation of immunosuppressive microenvironments.
