Single-cell transcriptomic landscape of human blood cells.
Single-cell transcriptomic landscape of human blood cells.
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DOI：
10.1093/nsr/nwaa180
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发表时间：
2021-03
影响因子：
20.6
通讯作者：
Cheng T
中科院分区：
文献类型：
--
作者：
Xie X;Liu M;Zhang Y;Wang B;Zhu C;Wang C;Li Q;Huo Y;Guo J;Xu C;Hu L;Pang A;Ma S;Wang L;Cao W;Chen S;Li Q;Zhang S;Zhao X;Zhou W;Luo H;Zheng G;Jiang E;Feng S;Chen L;Shi L;Cheng H;Hao S;Zhu P;Cheng T
高通量单细胞RNA-seq已成功实施，以剖析造血作用的细胞和分子特征。然而，一个详细和全面的转录参考的整个血液系统是缺乏的。在这里，我们分析了代表32种免疫表型细胞类型的7551个人血细胞的转录组，包括来自21个健康供体的造血干细胞、祖细胞和成熟血细胞。我们构建了一个基于蛋白质编码基因和长链非编码RNA（lncRNA）的血细胞单细胞转录图谱（ABC），测序深度和覆盖率都很高，并且两者之间具有很高的一致性。值得注意的是，鉴定了调节造血细胞分化的推定lncRNA和转录因子。虽然常见的转录因子调控网络在中性粒细胞和单核细胞中被激活，但淋巴样细胞在分化过程中显着改变了它们的调控网络。此外，我们发现有核红细胞的一个子集，积极表达免疫信号，表明存在的红细胞前体细胞的免疫功能。最后，建立了一个提供转录组浏览和血细胞类型预测的门户网站。因此，我们的工作提供了单细胞分辨率的人血细胞转录图谱，从而为生理和病理造血的探索提供了全面的参考。
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.
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影响因子：
30.5
作者：
通讯作者：
--
DOI：
10.1093/bioinformatics/btu638
发表时间：
2015-01-15
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Anders S;Pyl PT;Huber W
通讯作者：
Huber W
影响因子：
10.1
作者：
Wu, Zhijie;Gao, Shouguo;Young, Neal S.
通讯作者：
Young, Neal S.
影响因子：
48
作者：
Kiselev, Vladimir Yu;Yiu, Andrew;Hemberg, Martin
通讯作者：
Hemberg, Martin
影响因子：
2.6
作者：
Hay SB;Ferchen K;Chetal K;Grimes HL;Salomonis N
通讯作者：
Salomonis N