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Single-cell transcriptomic landscape of human blood cells
High throughput single-cell RNA-seq has been successfully implemented to dissect the cellular and molecular features underlying hematopoiesis. However, an elaborate and comprehensive transcriptome reference of the whole blood system is lacking. Here, we profiled the transcriptomes of 7551 human bloo...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288407/ https://www.ncbi.nlm.nih.gov/pubmed/34691592 http://dx.doi.org/10.1093/nsr/nwaa180 |
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author | Xie, Xiaowei Liu, Mengyao Zhang, Yawen Wang, Bingrui Zhu, Caiying Wang, Chenchen Li, Qing Huo, Yingying Guo, Jiaojiao Xu, Changlu Hu, Linping Pang, Aiming Ma, Shihui Wang, Lina Cao, Wenbin Chen, Shulian Li, Qiuling Zhang, Sudong Zhao, Xueying Zhou, Wen Luo, Hongbo Zheng, Guoguang Jiang, Erlie Feng, Sizhou Chen, Lixiang Shi, Lihong Cheng, Hui Hao, Sha Zhu, Ping Cheng, Tao |
author_facet | Xie, Xiaowei Liu, Mengyao Zhang, Yawen Wang, Bingrui Zhu, Caiying Wang, Chenchen Li, Qing Huo, Yingying Guo, Jiaojiao Xu, Changlu Hu, Linping Pang, Aiming Ma, Shihui Wang, Lina Cao, Wenbin Chen, Shulian Li, Qiuling Zhang, Sudong Zhao, Xueying Zhou, Wen Luo, Hongbo Zheng, Guoguang Jiang, Erlie Feng, Sizhou Chen, Lixiang Shi, Lihong Cheng, Hui Hao, Sha Zhu, Ping Cheng, Tao |
author_sort | Xie, Xiaowei |
collection | PubMed |
description | High throughput single-cell RNA-seq has been successfully implemented to dissect the cellular and molecular features underlying hematopoiesis. However, an elaborate and comprehensive transcriptome reference of the whole blood system is lacking. Here, we profiled the transcriptomes of 7551 human blood cells representing 32 immunophenotypic cell types, including hematopoietic stem cells, progenitors and mature blood cells derived from 21 healthy donors. With high sequencing depth and coverage, we constructed a single-cell transcriptional atlas of blood cells (ABC) on the basis of both protein-coding genes and long noncoding RNAs (lncRNAs), and showed a high consistence between them. Notably, putative lncRNAs and transcription factors regulating hematopoietic cell differentiation were identified. While common transcription factor regulatory networks were activated in neutrophils and monocytes, lymphoid cells dramatically changed their regulatory networks during differentiation. Furthermore, we showed a subset of nucleated erythrocytes actively expressing immune signals, suggesting the existence of erythroid precursors with immune functions. Finally, a web portal offering transcriptome browsing and blood cell type prediction has been established. Thus, our work provides a transcriptional map of human blood cells at single-cell resolution, thereby offering a comprehensive reference for the exploration of physiological and pathological hematopoiesis. |
format | Online Article Text |
id | pubmed-8288407 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-82884072021-10-21 Single-cell transcriptomic landscape of human blood cells Xie, Xiaowei Liu, Mengyao Zhang, Yawen Wang, Bingrui Zhu, Caiying Wang, Chenchen Li, Qing Huo, Yingying Guo, Jiaojiao Xu, Changlu Hu, Linping Pang, Aiming Ma, Shihui Wang, Lina Cao, Wenbin Chen, Shulian Li, Qiuling Zhang, Sudong Zhao, Xueying Zhou, Wen Luo, Hongbo Zheng, Guoguang Jiang, Erlie Feng, Sizhou Chen, Lixiang Shi, Lihong Cheng, Hui Hao, Sha Zhu, Ping Cheng, Tao Natl Sci Rev Molecular Biology & Genetics High throughput single-cell RNA-seq has been successfully implemented to dissect the cellular and molecular features underlying hematopoiesis. However, an elaborate and comprehensive transcriptome reference of the whole blood system is lacking. Here, we profiled the transcriptomes of 7551 human blood cells representing 32 immunophenotypic cell types, including hematopoietic stem cells, progenitors and mature blood cells derived from 21 healthy donors. With high sequencing depth and coverage, we constructed a single-cell transcriptional atlas of blood cells (ABC) on the basis of both protein-coding genes and long noncoding RNAs (lncRNAs), and showed a high consistence between them. Notably, putative lncRNAs and transcription factors regulating hematopoietic cell differentiation were identified. While common transcription factor regulatory networks were activated in neutrophils and monocytes, lymphoid cells dramatically changed their regulatory networks during differentiation. Furthermore, we showed a subset of nucleated erythrocytes actively expressing immune signals, suggesting the existence of erythroid precursors with immune functions. Finally, a web portal offering transcriptome browsing and blood cell type prediction has been established. Thus, our work provides a transcriptional map of human blood cells at single-cell resolution, thereby offering a comprehensive reference for the exploration of physiological and pathological hematopoiesis. Oxford University Press 2020-08-24 /pmc/articles/PMC8288407/ /pubmed/34691592 http://dx.doi.org/10.1093/nsr/nwaa180 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Molecular Biology & Genetics Xie, Xiaowei Liu, Mengyao Zhang, Yawen Wang, Bingrui Zhu, Caiying Wang, Chenchen Li, Qing Huo, Yingying Guo, Jiaojiao Xu, Changlu Hu, Linping Pang, Aiming Ma, Shihui Wang, Lina Cao, Wenbin Chen, Shulian Li, Qiuling Zhang, Sudong Zhao, Xueying Zhou, Wen Luo, Hongbo Zheng, Guoguang Jiang, Erlie Feng, Sizhou Chen, Lixiang Shi, Lihong Cheng, Hui Hao, Sha Zhu, Ping Cheng, Tao Single-cell transcriptomic landscape of human blood cells |
title | Single-cell transcriptomic landscape of human blood cells |
title_full | Single-cell transcriptomic landscape of human blood cells |
title_fullStr | Single-cell transcriptomic landscape of human blood cells |
title_full_unstemmed | Single-cell transcriptomic landscape of human blood cells |
title_short | Single-cell transcriptomic landscape of human blood cells |
title_sort | single-cell transcriptomic landscape of human blood cells |
topic | Molecular Biology & Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288407/ https://www.ncbi.nlm.nih.gov/pubmed/34691592 http://dx.doi.org/10.1093/nsr/nwaa180 |
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