Literature DB >> 29539641

A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex.

Suijuan Zhong1,2, Shu Zhang3, Xiaoying Fan3, Qian Wu1,2, Liying Yan3, Ji Dong3, Haofeng Zhang4, Long Li1,2, Le Sun1, Na Pan1, Xiaohui Xu4, Fuchou Tang3,5,6, Jun Zhang4, Jie Qiao3,5,6, Xiaoqun Wang1,2,7.   

Abstract

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. 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.

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Year:  2018        PMID: 29539641     DOI: 10.1038/nature25980

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  45 in total

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Journal:  Bioinformatics       Date:  2009-03-16       Impact factor: 6.937

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