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DOI | 10.1038/s41586-019-1114-6 |
A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex | |
Zhong, Suijuan1,2; Zhang, Shu3; Fan, Xiaoying3; Wu, Qian1,2; Yan, Liying3; Dong, Ji3; Zhang, Haofeng4; Li, Long1,2; Sun, Le1; Pan, Na1; Xu, Xiaohui4; Tang, Fuchou3,5,6,7; Zhang, Jun4; Qiao, Jie3,5,6,7; Wang, Xiaoqun1,2,8 | |
2019-05-08 | |
发表期刊 | NATURE
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ISSN | 0028-0836 |
EISSN | 1476-4687 |
出版年 | 2018 |
卷号 | 555期号:7697页码:524-+ |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
英文摘要 | The mammalian prefrontal cortex comprises a set of highly specialized brain areas containing billions of cells and serves as the centre of the highest-order cognitive functions, such as memory, cognitive ability, decision-making and social behaviour(1,2). Although neural circuits are formed in the late stages of human embryonic development and even after birth, diverse classes of functional cells are generated and migrate to the appropriate locations earlier in development. Dysfunction of the prefrontal cortex contributes to cognitive deficits and the majority of neurodevelopmental disorders; there is therefore a need for detailed knowledge of the development of the prefrontal cortex. However, it is still difficult to identify cell types in the developing human prefrontal cortex and to distinguish their developmental features. Here we analyse more than 2,300 single cells in the developing human prefrontal cortex from gestational weeks 8 to 26 using RNA sequencing. We identify 35 subtypes of cells in six main classes and trace the developmental trajectories of these cells. Detailed analysis of neural progenitor cells highlights new marker genes and unique developmental features of intermediate progenitor cells. We also map the timeline of neurogenesis of excitatory neurons in the prefrontal cortex and detect the presence of interneuron progenitors in early developing prefrontal cortex. Moreover, we reveal the intrinsic development dependent signals that regulate neuron generation and circuit formation using single-cell transcriptomic data analysis. Our screening and characterization approach provides a blueprint for understanding the development of the human prefrontal cortex in the early and mid-gestational stages in order to systematically dissect the cellular basis and molecular regulation of prefrontal cortex function in humans. |
领域 | 地球科学 ; 气候变化 ; 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000427937900054 |
WOS关键词 | LARGE GENE LISTS ; PROGENITOR CELLS ; HUMAN BRAIN ; EVOLUTION ; NEURONS ; INTERNEURONS ; TRAJECTORIES ; MICROGLIA ; DIVERSITY ; NEOCORTEX |
WOS类目 | Multidisciplinary Sciences |
WOS研究方向 | Science & Technology - Other Topics |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/203054 |
专题 | 地球科学 资源环境科学 气候变化 |
作者单位 | 1.Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techn, Inst Biophys, State Key Lab Brain & Cognit Sci, Beijing, Peoples R China; 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 3.Peking Univ, Hosp 3, Beijing Adv Innovat Ctr Gen, Coll Life Sci,Dept Obstet & Gynecol, Beijing 100871, Peoples R China; 4.Capital Med Univ, Beijing Anzhen Hosp, Med Ctr Severe Cardiovasc, Obstet & Gynecol, Beijing, Peoples R China; 5.Biomed Inst Pioneering Invest, Via Convergence, Beijing, Peoples R China; 6.Minist Educ, Ctr Reprod Med, Key Lab Cell Proliferat & Differentiat, Beijing, Peoples R China; 7.Peking Univ, Peking Tsinghua Ctr Life Sci, Beijing 100871, Peoples R China; 8.Beijing Inst Brain Disorders, Beijing 100069, Peoples R China |
推荐引用方式 GB/T 7714 | Zhong, Suijuan,Zhang, Shu,Fan, Xiaoying,et al. A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex[J]. NATURE,2019,555(7697):524-+. |
APA | Zhong, Suijuan.,Zhang, Shu.,Fan, Xiaoying.,Wu, Qian.,Yan, Liying.,...&Wang, Xiaoqun.(2019).A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex.NATURE,555(7697),524-+. |
MLA | Zhong, Suijuan,et al."A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex".NATURE 555.7697(2019):524-+. |
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