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Spatio-temporal transcriptome of the human brain

Author

Listed:
  • Hyo Jung Kang

    (Yale University School of Medicine)

  • Yuka Imamura Kawasawa

    (Yale University School of Medicine)

  • Feng Cheng

    (Yale University School of Medicine)

  • Ying Zhu

    (Yale University School of Medicine)

  • Xuming Xu

    (Yale University School of Medicine)

  • Mingfeng Li

    (Yale University School of Medicine)

  • André M. M. Sousa

    (Yale University School of Medicine
    Graduate Program in Areas of Basic and Applied Biology, Abel Salazar Biomedical Sciences Institute, University of Porto, 4099-003 Porto, Portugal)

  • Mihovil Pletikos

    (Yale University School of Medicine
    Graduate Program in Neuroscience, Croatian Institute for Brain Research, University of Zagreb School of Medicine, 10000 Zagreb, Croatia)

  • Kyle A. Meyer

    (Yale University School of Medicine)

  • Goran Sedmak

    (Yale University School of Medicine
    Graduate Program in Neuroscience, Croatian Institute for Brain Research, University of Zagreb School of Medicine, 10000 Zagreb, Croatia)

  • Tobias Guennel

    (Virginia Commonwealth University)

  • Yurae Shin

    (Yale University School of Medicine)

  • Matthew B. Johnson

    (Yale University School of Medicine)

  • Željka Krsnik

    (Yale University School of Medicine)

  • Simone Mayer

    (Yale University School of Medicine
    MSc/PhD Molecular Biology Program, International Max Planck Research School for Molecular Biology, 37077 Göttingen, Germany)

  • Sofia Fertuzinhos

    (Yale University School of Medicine)

  • Sheila Umlauf

    (Yale Center for Genome Analysis, Yale University School of Medicine)

  • Steven N. Lisgo

    (Institute of Genetic Medicine, Newcastle University, International Centre for Life, Newcastle upon Tyne NE1 3BZ, UK)

  • Alexander Vortmeyer

    (Yale University School of Medicine)

  • Daniel R. Weinberger

    (Clinical Brain Disorders Branch, National Institute of Mental Health, National Institutes of Health)

  • Shrikant Mane

    (Yale Center for Genome Analysis, Yale University School of Medicine)

  • Thomas M. Hyde

    (Clinical Brain Disorders Branch, National Institute of Mental Health, National Institutes of Health
    The Lieber Institute for Brain Development, Johns Hopkins University Medical Campus)

  • Anita Huttner

    (Yale University School of Medicine)

  • Mark Reimers

    (Virginia Commonwealth University)

  • Joel E. Kleinman

    (Clinical Brain Disorders Branch, National Institute of Mental Health, National Institutes of Health)

  • Nenad Šestan

    (Yale University School of Medicine)

Abstract

Brain development and function depend on the precise regulation of gene expression. However, our understanding of the complexity and dynamics of the transcriptome of the human brain is incomplete. Here we report the generation and analysis of exon-level transcriptome and associated genotyping data, representing males and females of different ethnicities, from multiple brain regions and neocortical areas of developing and adult post-mortem human brains. We found that 86 per cent of the genes analysed were expressed, and that 90 per cent of these were differentially regulated at the whole-transcript or exon level across brain regions and/or time. The majority of these spatio-temporal differences were detected before birth, with subsequent increases in the similarity among regional transcriptomes. The transcriptome is organized into distinct co-expression networks, and shows sex-biased gene expression and exon usage. We also profiled trajectories of genes associated with neurobiological categories and diseases, and identified associations between single nucleotide polymorphisms and gene expression. This study provides a comprehensive data set on the human brain transcriptome and insights into the transcriptional foundations of human neurodevelopment.

Suggested Citation

  • Hyo Jung Kang & Yuka Imamura Kawasawa & Feng Cheng & Ying Zhu & Xuming Xu & Mingfeng Li & André M. M. Sousa & Mihovil Pletikos & Kyle A. Meyer & Goran Sedmak & Tobias Guennel & Yurae Shin & Matthew B., 2011. "Spatio-temporal transcriptome of the human brain," Nature, Nature, vol. 478(7370), pages 483-489, October.
  • Handle: RePEc:nat:nature:v:478:y:2011:i:7370:d:10.1038_nature10523
    DOI: 10.1038/nature10523
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    Cited by:

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    2. Jun Ding & Jian Ji & Zachary Rabow & Tong Shen & Jacob Folz & Christopher R. Brydges & Sili Fan & Xinchen Lu & Sajjan Mehta & Megan R. Showalter & Ying Zhang & Renee Araiza & Lynette R. Bower & K. C. , 2021. "A metabolome atlas of the aging mouse brain," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    3. Jingkuan Wei & Shaoxing Dai & Yaping Yan & Shulin Li & Pengpeng Yang & Ran Zhu & Tianzhuang Huang & Xi Li & Yanchao Duan & Zhengbo Wang & Weizhi Ji & Wei Si, 2023. "Spatiotemporal proteomic atlas of multiple brain regions across early fetal to neonatal stages in cynomolgus monkey," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
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    7. Samuel S. Kim & Buu Truong & Karthik Jagadeesh & Kushal K. Dey & Amber Z. Shen & Soumya Raychaudhuri & Manolis Kellis & Alkes L. Price, 2024. "Leveraging single-cell ATAC-seq and RNA-seq to identify disease-critical fetal and adult brain cell types," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
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    10. Xuelong Yao & Zongyang Lu & Zhanying Feng & Lei Gao & Xin Zhou & Min Li & Suijuan Zhong & Qian Wu & Zhenbo Liu & Haofeng Zhang & Zeyuan Liu & Lizhi Yi & Tao Zhou & Xudong Zhao & Jun Zhang & Yong Wang , 2022. "Comparison of chromatin accessibility landscapes during early development of prefrontal cortex between rhesus macaque and human," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    11. G. Ball & S. Oldham & V. Kyriakopoulou & L. Z. J. Williams & V. Karolis & A. Price & J. Hutter & M. L. Seal & A. Alexander-Bloch & J. V. Hajnal & A. D. Edwards & E. C. Robinson & J. Seidlitz, 2024. "Molecular signatures of cortical expansion in the human foetal brain," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
    12. Marc P. Forrest & Marc Dos Santos & Nicolas H. Piguel & Yi-Zhi Wang & Nicole A. Hawkins & Vikram A. Bagchi & Leonardo E. Dionisio & Sehyoun Yoon & Dina Simkin & Maria Dolores Martin-de-Saavedra & Ruoq, 2023. "Rescue of neuropsychiatric phenotypes in a mouse model of 16p11.2 duplication syndrome by genetic correction of an epilepsy network hub," Nature Communications, Nature, vol. 14(1), pages 1-20, December.
    13. Tianqi Liu & Ming Yuan & Hongyu Zhao, 2022. "Characterizing Spatiotemporal Transcriptome of the Human Brain Via Low-Rank Tensor Decomposition," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 14(3), pages 485-513, December.
    14. Norman L. Lehman & Nathalie Spassky & Müge Sak & Amy Webb & Cory T. Zumbar & Aisulu Usubalieva & Khaled J. Alkhateeb & Joseph P. McElroy & Kirsteen H. Maclean & Paolo Fadda & Tom Liu & Vineela Gangala, 2022. "Astroblastomas exhibit radial glia stem cell lineages and differential expression of imprinted and X-inactivation escape genes," Nature Communications, Nature, vol. 13(1), pages 1-20, December.
    15. Jin Woo Oh & Michael A. Beer, 2024. "Gapped-kmer sequence modeling robustly identifies regulatory vocabularies and distal enhancers conserved between evolutionarily distant mammals," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
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    17. E. P. Tissink & A. A. Shadrin & D. Meer & N. Parker & G. Hindley & D. Roelfs & O. Frei & C. C. Fan & M. Nagel & T. Nærland & M. Budisteanu & S. Djurovic & L. T. Westlye & M. P. Heuvel & D. Posthuma & , 2024. "Abundant pleiotropy across neuroimaging modalities identified through a multivariate genome-wide association study," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    18. Anna Pagliaro & Roxy Finger & Iris Zoutendijk & Saskia Bunschuh & Hans Clevers & Delilah Hendriks & Benedetta Artegiani, 2023. "Temporal morphogen gradient-driven neural induction shapes single expanded neuroepithelium brain organoids with enhanced cortical identity," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
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