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A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex.
Zhong, Suijuan; Zhang, Shu; Fan, Xiaoying; Wu, Qian; Yan, Liying; Dong, Ji; Zhang, Haofeng; Li, Long; Sun, Le; Pan, Na; Xu, Xiaohui; Tang, Fuchou; Zhang, Jun; Qiao, Jie; Wang, Xiaoqun.
Afiliación
  • Zhong S; State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology (Shanghai), Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
  • Zhang S; University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Fan X; Beijing Advanced Innovation Center for Genomics, College of Life Sciences, Department of Obstetrics and Gynecology, Third Hospital, Peking University, Beijing, 100871, China.
  • Wu Q; Beijing Advanced Innovation Center for Genomics, College of Life Sciences, Department of Obstetrics and Gynecology, Third Hospital, Peking University, Beijing, 100871, China.
  • Yan L; State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology (Shanghai), Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
  • Dong J; University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Zhang H; Beijing Advanced Innovation Center for Genomics, College of Life Sciences, Department of Obstetrics and Gynecology, Third Hospital, Peking University, Beijing, 100871, China.
  • Li L; Beijing Advanced Innovation Center for Genomics, College of Life Sciences, Department of Obstetrics and Gynecology, Third Hospital, Peking University, Beijing, 100871, China.
  • Sun L; Obstetrics and Gynecology, Medical Center of Severe Cardiovascular of Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China.
  • Pan N; State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology (Shanghai), Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
  • Xu X; University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Tang F; State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology (Shanghai), Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
  • Zhang J; State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology (Shanghai), Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
  • Qiao J; Obstetrics and Gynecology, Medical Center of Severe Cardiovascular of Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China.
  • Wang X; Beijing Advanced Innovation Center for Genomics, College of Life Sciences, Department of Obstetrics and Gynecology, Third Hospital, Peking University, Beijing, 100871, China.
Nature ; 555(7697): 524-528, 2018 03 22.
Article en En | MEDLINE | ID: mdl-29539641
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: ARN / Diferenciación Celular / Análisis de Secuencia de ARN / Corteza Prefrontal / Análisis de la Célula Individual Límite: Humans Idioma: En Revista: Nature Año: 2018 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: ARN / Diferenciación Celular / Análisis de Secuencia de ARN / Corteza Prefrontal / Análisis de la Célula Individual Límite: Humans Idioma: En Revista: Nature Año: 2018 Tipo del documento: Article País de afiliación: China