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Transcriptional landscape of the prenatal human brain

Author

Listed:
  • Jeremy A. Miller

    (Allen Institute for Brain Science)

  • Song-Lin Ding

    (Allen Institute for Brain Science)

  • Susan M. Sunkin

    (Allen Institute for Brain Science)

  • Kimberly A. Smith

    (Allen Institute for Brain Science)

  • Lydia Ng

    (Allen Institute for Brain Science)

  • Aaron Szafer

    (Allen Institute for Brain Science)

  • Amanda Ebbert

    (Allen Institute for Brain Science)

  • Zackery L. Riley

    (Allen Institute for Brain Science)

  • Joshua J. Royall

    (Allen Institute for Brain Science)

  • Kaylynn Aiona

    (Allen Institute for Brain Science)

  • James M. Arnold

    (Allen Institute for Brain Science)

  • Crissa Bennet

    (Allen Institute for Brain Science)

  • Darren Bertagnolli

    (Allen Institute for Brain Science)

  • Krissy Brouner

    (Allen Institute for Brain Science)

  • Stephanie Butler

    (Allen Institute for Brain Science)

  • Shiella Caldejon

    (Allen Institute for Brain Science)

  • Anita Carey

    (Allen Institute for Brain Science)

  • Christine Cuhaciyan

    (Allen Institute for Brain Science)

  • Rachel A. Dalley

    (Allen Institute for Brain Science)

  • Nick Dee

    (Allen Institute for Brain Science)

  • Tim A. Dolbeare

    (Allen Institute for Brain Science)

  • Benjamin A. C. Facer

    (Allen Institute for Brain Science)

  • David Feng

    (Allen Institute for Brain Science)

  • Tim P. Fliss

    (Allen Institute for Brain Science)

  • Garrett Gee

    (Allen Institute for Brain Science)

  • Jeff Goldy

    (Allen Institute for Brain Science)

  • Lindsey Gourley

    (Allen Institute for Brain Science)

  • Benjamin W. Gregor

    (Allen Institute for Brain Science)

  • Guangyu Gu

    (Allen Institute for Brain Science)

  • Robert E. Howard

    (Allen Institute for Brain Science)

  • Jayson M. Jochim

    (Allen Institute for Brain Science)

  • Chihchau L. Kuan

    (Allen Institute for Brain Science)

  • Christopher Lau

    (Allen Institute for Brain Science)

  • Chang-Kyu Lee

    (Allen Institute for Brain Science)

  • Felix Lee

    (Allen Institute for Brain Science)

  • Tracy A. Lemon

    (Allen Institute for Brain Science)

  • Phil Lesnar

    (Allen Institute for Brain Science)

  • Bergen McMurray

    (Allen Institute for Brain Science)

  • Naveed Mastan

    (Allen Institute for Brain Science)

  • Nerick Mosqueda

    (Allen Institute for Brain Science)

  • Theresa Naluai-Cecchini

    (University of Washington, 1959 North East Pacific Street, Box 356320, Seattle, Washington 98195, USA)

  • Nhan-Kiet Ngo

    (Allen Institute for Brain Science)

  • Julie Nyhus

    (Allen Institute for Brain Science)

  • Aaron Oldre

    (Allen Institute for Brain Science)

  • Eric Olson

    (Allen Institute for Brain Science)

  • Jody Parente

    (Allen Institute for Brain Science)

  • Patrick D. Parker

    (Allen Institute for Brain Science)

  • Sheana E. Parry

    (Allen Institute for Brain Science)

  • Allison Stevens

    (Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital
    Computer Science and AI Lab, MIT)

  • Mihovil Pletikos

    (Yale School of Medicine)

  • Melissa Reding

    (Allen Institute for Brain Science)

  • Kate Roll

    (Allen Institute for Brain Science)

  • David Sandman

    (Allen Institute for Brain Science)

  • Melaine Sarreal

    (Allen Institute for Brain Science)

  • Sheila Shapouri

    (Allen Institute for Brain Science)

  • Nadiya V. Shapovalova

    (Allen Institute for Brain Science)

  • Elaine H. Shen

    (Allen Institute for Brain Science)

  • Nathan Sjoquist

    (Allen Institute for Brain Science)

  • Clifford R. Slaughterbeck

    (Allen Institute for Brain Science)

  • Michael Smith

    (Allen Institute for Brain Science)

  • Andy J. Sodt

    (Allen Institute for Brain Science)

  • Derric Williams

    (Allen Institute for Brain Science)

  • Lilla Zöllei

    (Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital)

  • Bruce Fischl

    (Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital
    Computer Science and AI Lab, MIT)

  • Mark B. Gerstein

    (Program in Computational Biology and Bioinformatics, Yale University
    Yale University)

  • Daniel H. Geschwind

    (Program in Neurogenetics, UCLA)

  • Ian A. Glass

    (University of Washington, 1959 North East Pacific Street, Box 356320, Seattle, Washington 98195, USA)

  • Michael J. Hawrylycz

    (Allen Institute for Brain Science)

  • Robert F. Hevner

    (Center for Integrative Brain Research, Seattle Children’s Research Institute
    University of Washington School of Medicine)

  • Hao Huang

    (Advanced Imaging Research Center, UT Southwestern Medical Center)

  • Allan R. Jones

    (Allen Institute for Brain Science)

  • James A. Knowles

    (Zilkha Neurogenetic Institute, University of Southern California)

  • Pat Levitt

    (Children’s Hospital
    Keck School of Medicine, University of Southern California)

  • John W. Phillips

    (Allen Institute for Brain Science)

  • Nenad Šestan

    (Yale School of Medicine)

  • Paul Wohnoutka

    (Allen Institute for Brain Science)

  • Chinh Dang

    (Allen Institute for Brain Science)

  • Amy Bernard

    (Allen Institute for Brain Science)

  • John G. Hohmann

    (Allen Institute for Brain Science)

  • Ed S. Lein

    (Allen Institute for Brain Science)

Abstract

The anatomical and functional architecture of the human brain is mainly determined by prenatal transcriptional processes. We describe an anatomically comprehensive atlas of the mid-gestational human brain, including de novo reference atlases, in situ hybridization, ultra-high-resolution magnetic resonance imaging (MRI) and microarray analysis on highly discrete laser-microdissected brain regions. In developing cerebral cortex, transcriptional differences are found between different proliferative and post-mitotic layers, wherein laminar signatures reflect cellular composition and developmental processes. Cytoarchitectural differences between human and mouse have molecular correlates, including species differences in gene expression in subplate, although surprisingly we find minimal differences between the inner and outer subventricular zones even though the outer zone is expanded in humans. Both germinal and post-mitotic cortical layers exhibit fronto-temporal gradients, with particular enrichment in the frontal lobe. Finally, many neurodevelopmental disorder and human-evolution-related genes show patterned expression, potentially underlying unique features of human cortical formation. These data provide a rich, freely-accessible resource for understanding human brain development.

Suggested Citation

  • Jeremy A. Miller & Song-Lin Ding & Susan M. Sunkin & Kimberly A. Smith & Lydia Ng & Aaron Szafer & Amanda Ebbert & Zackery L. Riley & Joshua J. Royall & Kaylynn Aiona & James M. Arnold & Crissa Bennet, 2014. "Transcriptional landscape of the prenatal human brain," Nature, Nature, vol. 508(7495), pages 199-206, April.
  • Handle: RePEc:nat:nature:v:508:y:2014:i:7495:d:10.1038_nature13185
    DOI: 10.1038/nature13185
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    2. Gavin J. Sutton & Daniel Poppe & Rebecca K. Simmons & Kieran Walsh & Urwah Nawaz & Ryan Lister & Johann A. Gagnon-Bartsch & Irina Voineagu, 2022. "Comprehensive evaluation of deconvolution methods for human brain gene expression," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    3. Zhiqiang Sha & Dick Schijven & Amaia Carrion-Castillo & Marc Joliot & Bernard Mazoyer & Simon E. Fisher & Fabrice Crivello & Clyde Francks, 2021. "The genetic architecture of structural left–right asymmetry of the human brain," Nature Human Behaviour, Nature, vol. 5(9), pages 1226-1239, September.
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    5. Max Lam & Chia-Yen Chen & W. David Hill & Charley Xia & Ruoyu Tian & Daniel F. Levey & Joel Gelernter & Murray B. Stein & Alexander S. Hatoum & Hailiang Huang & Anil K. Malhotra & Heiko Runz & Tian Ge, 2022. "Collective genomic segments with differential pleiotropic patterns between cognitive dimensions and psychopathology," Nature Communications, Nature, vol. 13(1), pages 1-22, December.
    6. 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.
    7. Sheng Wang & Belinda Wang & Vanessa Drury & Sam Drake & Nawei Sun & Hasan Alkhairo & Juan Arbelaez & Clif Duhn & Vanessa H. Bal & Kate Langley & Joanna Martin & Pieter J. Hoekstra & Andrea Dietrich & , 2023. "Rare X-linked variants carry predominantly male risk in autism, Tourette syndrome, and ADHD," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
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    9. Xinyuan Liang & Lianglong Sun & Xuhong Liao & Tianyuan Lei & Mingrui Xia & Dingna Duan & Zilong Zeng & Qiongling Li & Zhilei Xu & Weiwei Men & Yanpei Wang & Shuping Tan & Jia-Hong Gao & Shaozheng Qin , 2024. "Structural connectome architecture shapes the maturation of cortical morphology from childhood to adolescence," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    10. 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.
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    12. 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.
    13. Aleksandr Talishinsky & Jonathan Downar & Petra E. Vértes & Jakob Seidlitz & Katharine Dunlop & Charles J. Lynch & Heather Whalley & Andrew McIntosh & Fidel Vila-Rodriguez & Zafiris J. Daskalakis & Da, 2022. "Regional gene expression signatures are associated with sex-specific functional connectivity changes in depression," Nature Communications, Nature, vol. 13(1), pages 1-20, December.
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