Single-cell transcriptomic landscape of nucleated cells in umbilical cord blood. Issue 5 (2nd May 2019)

• Record Type: Journal Article
• Authors: Zhao, Yi; Li, Xiao; Zhao, Weihua; Wang, Jingwan; Yu, Jiawei; Wan, Ziyun; Gao, Kai; Yi, Gang; Wang, Xie; Fan, Bingbing; Wu, Qinkai; Chen, Bangwei; Xie, Feng; Wu, Jinghua; Zhang, Wei; Chen, Fang; Yang, Huanming; Wang, Jian; Xu, Xun; Li, Bin; Liu, Shiping; Hou, Yong; Liu, Xiao
• Is Part Of: GigaScience. Volume 8:Issue 5(2019)
• Publication Date: 2019-05-02
• Subjects: umbilical cord blood -- single-cell RNA sequencing -- transcriptomics -- nucleated red blood cell -- natural killer T cell; Information storage and retrieval systems -- Research -- Periodicals; Biology -- Research -- Periodicals; Medical sciences -- Research -- Periodicals; Database management -- Periodicals; 570.285
• DOI: 10.1093/gigascience/giz047
• Languages: English
• ISSNs: 2047-217X

Abstract

Abstract: Background: For both pediatric and adult patients, umbilical cord blood (UCB) transplant is a therapeutic option for a variety of hematologic diseases, such as blood cancers, myeloproliferative disorders, genetic diseases, and metabolic disorders. However, the level of cellular heterogeneity and diversity of nucleated cells in UCB has not yet been assessed in an unbiased and systemic fashion. In the present study, nucleated cells from UCB were subjected to single-cell RNA sequencing to simultaneously profile the gene expression signatures of thousands of cells, generating a rich resource for further functional studies. Here, we report the transcriptomes of 17, 637 UCB cells, covering 12 major cell types, many of which can be further divided into distinct subpopulations. Results: Pseudotemporal ordering of nucleated red blood cells identifies wave-like activation and suppression of transcription regulators, leading to a polarized cellular state, which may reflect nucleated red blood cell maturation. Progenitor cells in UCB also comprise 2 subpopulations with activation of divergent transcription programs, leading to specific cell fate commitment. Detailed profiling of cytotoxic cell populations unveiled granzymes B and K signatures in natural killer and natural killer T-cell types in UCB. Conclusions: Taken together, our data form a comprehensive single-cell transcriptomic landscape that reveals previously unrecognized cell types, pathways, and mechanisms of gene expression regulation. These data may contribute to the efficacy and outcome of UCB transplant, broadening the scope of research and clinical innovations.