Single-cell transcriptomics dissects hematopoietic cell destruction and T-cell engagement in aplastic anemia
Summary
Aplastic anemia (AA) is a T cell-mediated autoimmune disorder of the hematopoietic system manifested by severe depletion of the hematopoietic stem and progenitor cells (HSPCs). Nonetheless, our understanding of the complex relationship between HSPCs and T cells is still obscure, mainly limited by techniques and the sparsity of HSPCs in the context of bone marrow failure. Here we performed single-cell transcriptome analysis of residual HSPCs and T cells to identify the molecular players from patients with AA. We observed that residual HSPCs in AA exhibited lineage-specific alterations in gene expression and transcriptional regulatory networks, indicating a selective disruption of distinct lineage-committed progenitor pools. In particular, HSPCs displayed frequently altered alternative splicing events and skewed patterns of polyadenylation in transcripts related to DNA damage and repair, suggesting a likely role in AA progression to myelodysplastic syndromes. We further identified cell type-specific ligand-receptor interactions as potential mediators for ongoing HSPCs destruction by T cells. By tracking patients after immunosuppressive therapy (IST), we showed that hematopoiesis remission was incomplete accompanied by IST insensitive interactions between HSPCs and T cells as well as sustained abnormal transcription state. These data collectively constitute the transcriptomic landscape of disrupted hematopoiesis in AA at single-cell resolution, providing new insights into the molecular interactions of engaged T cells with residual HSPCs and render novel therapeutic opportunities for AA.
Overall design
Full length mRNA profiles of hematopoietic stem and progenitor cells (HSPCs) under aplastic anemia (AA) and healthy conditions were generated by deep sequencing at single cell resolution, using Illumina Hiseq. 3' end mRNA profiles of hematopoietic stem and progenitor cells (HSPCs) and T cells under aplastic anemia (AA) and healthy conditions were generated by deep sequencing at single cell resolution, using Illumina Hiseq
Contributors
Caiying Zhu 1 2, Yu Lian 1 2 3, Chenchen Wang 1 2, Peng Wu 1 2, Xuan Li 1 2, Yan Gao 4, Sibin Fan 1 2 3, Lanlan Ai 1 2, Liwei Fang 1 2 3, Hong Pan 1 2 3, Tao Cheng 1 2, Jun Shi 1 2 3, Ping Zhu 1 2
Contact
zhuping@ihcams.ac.cn(Ping Zhu)
Sample name | Sample title | Disease | Gender | Age | Source | Treatment | Technology | Platform | Omics | Sample ID | Dataset ID | Action |
---|