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

Author

Listed:
  • Suijuan Zhong

    (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
    University of Chinese Academy of Sciences)

  • Shu Zhang

    (Beijing Advanced Innovation Center for Genomics, College of Life Sciences, Third Hospital, Peking University)

  • Xiaoying Fan

    (Beijing Advanced Innovation Center for Genomics, College of Life Sciences, Third Hospital, Peking University)

  • Qian Wu

    (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
    University of Chinese Academy of Sciences)

  • Liying Yan

    (Beijing Advanced Innovation Center for Genomics, College of Life Sciences, Third Hospital, Peking University)

  • Ji Dong

    (Beijing Advanced Innovation Center for Genomics, College of Life Sciences, Third Hospital, Peking University)

  • Haofeng Zhang

    (Obstetrics and Gynecology, Medical Center of Severe Cardiovascular of Beijing Anzhen Hospital, Capital Medical University)

  • Long Li

    (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
    University of Chinese Academy of Sciences)

  • Le Sun

    (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)

  • Na Pan

    (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)

  • Xiaohui Xu

    (Obstetrics and Gynecology, Medical Center of Severe Cardiovascular of Beijing Anzhen Hospital, Capital Medical University)

  • Fuchou Tang

    (Beijing Advanced Innovation Center for Genomics, College of Life Sciences, Third Hospital, Peking University
    Biomedical Institute for Pioneering Investigation via Convergence and Center for Reproductive Medicine, Ministry of Education Key Laboratory of Cell Proliferation and Differentiation
    Peking–Tsinghua Center for Life Sciences, Peking University)

  • Jun Zhang

    (Obstetrics and Gynecology, Medical Center of Severe Cardiovascular of Beijing Anzhen Hospital, Capital Medical University)

  • Jie Qiao

    (Beijing Advanced Innovation Center for Genomics, College of Life Sciences, Third Hospital, Peking University
    Biomedical Institute for Pioneering Investigation via Convergence and Center for Reproductive Medicine, Ministry of Education Key Laboratory of Cell Proliferation and Differentiation
    Peking–Tsinghua Center for Life Sciences, Peking University)

  • Xiaoqun Wang

    (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
    University of Chinese Academy of Sciences
    Beijing Institute for Brain Disorders)

Abstract

WebAnalysis of gene expression at single-cell resolution in the developing prefrontal cortex of the human embryo reveals a diversity of cell types, elucidates cell lineages and identifies signalling pathways that regulate development.

Suggested Citation

  • Suijuan Zhong & Shu Zhang & Xiaoying Fan & Qian Wu & Liying Yan & Ji Dong & Haofeng Zhang & Long Li & Le Sun & Na Pan & Xiaohui Xu & Fuchou Tang & Jun Zhang & Jie Qiao & Xiaoqun Wang, 2018. "A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex," Nature, Nature, vol. 555(7697), pages 524-528, March.
    • Handle: RePEc:nat:nature:v:555:y:2018:i:7697:d:10.1038_nature25980
    DOI: 10.1038/nature25980
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    Cited by:

    1. Angeles Arzalluz-Luque & Pedro Salguero & Sonia Tarazona & Ana Conesa, 2022. "acorde unravels functionally interpretable networks of isoform co-usage from single cell data," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    2. Elaine T. Lim & Yingleong Chan & Pepper Dawes & Xiaoge Guo & Serkan Erdin & Derek J. C. Tai & Songlei Liu & Julia M. Reichert & Mannix J. Burns & Ying Kai Chan & Jessica J. Chiang & Katharina Meyer & , 2022. "Orgo-Seq integrates single-cell and bulk transcriptomic data to identify cell type specific-driver genes associated with autism spectrum disorder," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    3. Lulu Shang & Xiang Zhou, 2022. "Spatially aware dimension reduction for spatial transcriptomics," Nature Communications, Nature, vol. 13(1), pages 1-22, December.
    4. Benjamin B. Sun & Stephanie J. Loomis & Fabrizio Pizzagalli & Natalia Shatokhina & Jodie N. Painter & Christopher N. Foley & Megan E. Jensen & Donald G. McLaren & Sai Spandana Chintapalli & Alyssa H. , 2022. "Genetic map of regional sulcal morphology in the human brain from UK biobank data," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    5. Min Kyung Lee & Nasim Azizgolshani & Joshua A. Shapiro & Lananh N. Nguyen & Fred W. Kolling & George J. Zanazzi & Hildreth Robert Frost & Brock C. Christensen, 2024. "Identifying tumor type and cell type-specific gene expression alterations in pediatric central nervous system tumors," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    6. Thomas R. W. Oliver & Lia Chappell & Rashesh Sanghvi & Lauren Deighton & Naser Ansari-Pour & Stefan C. Dentro & Matthew D. Young & Tim H. H. Coorens & Hyunchul Jung & Tim Butler & Matthew D. C. Nevill, 2022. "Clonal diversification and histogenesis of malignant germ cell tumours," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    7. Vanessa Donega & Astrid T. Geest & Jacqueline A. Sluijs & Roland E. Dijk & Chi Chiu Wang & Onur Basak & R. Jeroen Pasterkamp & Elly M. Hol, 2022. "Single-cell profiling of human subventricular zone progenitors identifies SFRP1 as a target to re-activate progenitors," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    8. Tingting Bo & Jie Li & Ganlu Hu & Ge Zhang & Wei Wang & Qian Lv & Shaoling Zhao & Junjie Ma & Meng Qin & Xiaohui Yao & Meiyun Wang & Guang-Zhong Wang & Zheng Wang, 2023. "Brain-wide and cell-specific transcriptomic insights into MRI-derived cortical morphology in macaque monkeys," Nature Communications, Nature, vol. 14(1), pages 1-15, December.

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