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Human neocortical expansion involves glutamatergic neuron diversification

Author

Listed:
  • Jim Berg

    (Allen Institute for Brain Science)

  • Staci A. Sorensen

    (Allen Institute for Brain Science)

  • Jonathan T. Ting

    (Allen Institute for Brain Science
    University of Washington)

  • Jeremy A. Miller

    (Allen Institute for Brain Science)

  • Thomas Chartrand

    (Allen Institute for Brain Science)

  • Anatoly Buchin

    (Allen Institute for Brain Science)

  • Trygve E. Bakken

    (Allen Institute for Brain Science)

  • Agata Budzillo

    (Allen Institute for Brain Science)

  • Nick Dee

    (Allen Institute for Brain Science)

  • Song-Lin Ding

    (Allen Institute for Brain Science)

  • Nathan W. Gouwens

    (Allen Institute for Brain Science)

  • Rebecca D. Hodge

    (Allen Institute for Brain Science)

  • Brian Kalmbach

    (Allen Institute for Brain Science
    University of Washington)

  • Changkyu Lee

    (Allen Institute for Brain Science)

  • Brian R. Lee

    (Allen Institute for Brain Science)

  • Lauren Alfiler

    (Allen Institute for Brain Science)

  • Katherine Baker

    (Allen Institute for Brain Science)

  • Eliza Barkan

    (Allen Institute for Brain Science)

  • Allison Beller

    (University of Washington)

  • Kyla Berry

    (Allen Institute for Brain Science)

  • Darren Bertagnolli

    (Allen Institute for Brain Science)

  • Kris Bickley

    (Allen Institute for Brain Science)

  • Jasmine Bomben

    (Allen Institute for Brain Science)

  • Thomas Braun

    (byte physics)

  • Krissy Brouner

    (Allen Institute for Brain Science)

  • Tamara Casper

    (Allen Institute for Brain Science)

  • Peter Chong

    (Allen Institute for Brain Science)

  • Kirsten Crichton

    (Allen Institute for Brain Science)

  • Rachel Dalley

    (Allen Institute for Brain Science)

  • Rebecca Frates

    (Allen Institute for Brain Science)

  • Tsega Desta

    (Allen Institute for Brain Science)

  • Samuel Dingman Lee

    (Allen Institute for Brain Science)

  • Florence D’Orazi

    (Allen Institute for Brain Science)

  • Nadezhda Dotson

    (Allen Institute for Brain Science)

  • Tom Egdorf

    (Allen Institute for Brain Science)

  • Rachel Enstrom

    (Allen Institute for Brain Science)

  • Colin Farrell

    (Allen Institute for Brain Science)

  • David Feng

    (Allen Institute for Brain Science)

  • Olivia Fong

    (Allen Institute for Brain Science)

  • Szabina Furdan

    (University of Szeged)

  • Anna A. Galakhova

    (Vrije Universiteit)

  • Clare Gamlin

    (Allen Institute for Brain Science)

  • Amanda Gary

    (Allen Institute for Brain Science)

  • Alexandra Glandon

    (Allen Institute for Brain Science)

  • Jeff Goldy

    (Allen Institute for Brain Science)

  • Melissa Gorham

    (Allen Institute for Brain Science)

  • Natalia A. Goriounova

    (Vrije Universiteit)

  • Sergey Gratiy

    (Allen Institute for Brain Science)

  • Lucas Graybuck

    (Allen Institute for Brain Science)

  • Hong Gu

    (Allen Institute for Brain Science)

  • Kristen Hadley

    (Allen Institute for Brain Science)

  • Nathan Hansen

    (Swedish Neuroscience Institute)

  • Tim S. Heistek

    (Vrije Universiteit)

  • Alex M. Henry

    (Allen Institute for Brain Science)

  • Djai B. Heyer

    (Vrije Universiteit)

  • DiJon Hill

    (Allen Institute for Brain Science)

  • Chris Hill

    (Allen Institute for Brain Science)

  • Madie Hupp

    (Allen Institute for Brain Science)

  • Tim Jarsky

    (Allen Institute for Brain Science)

  • Sara Kebede

    (Allen Institute for Brain Science)

  • Lisa Keene

    (University of Washington)

  • Lisa Kim

    (Allen Institute for Brain Science)

  • Mean-Hwan Kim

    (Allen Institute for Brain Science)

  • Matthew Kroll

    (Allen Institute for Brain Science)

  • Caitlin Latimer

    (University of Washington)

  • Boaz P. Levi

    (Allen Institute for Brain Science)

  • Katherine E. Link

    (Allen Institute for Brain Science)

  • Matthew Mallory

    (Allen Institute for Brain Science)

  • Rusty Mann

    (Allen Institute for Brain Science)

  • Desiree Marshall

    (University of Washington)

  • Michelle Maxwell

    (Allen Institute for Brain Science)

  • Medea McGraw

    (Allen Institute for Brain Science)

  • Delissa McMillen

    (Allen Institute for Brain Science)

  • Erica Melief

    (University of Washington)

  • Eline J. Mertens

    (Vrije Universiteit)

  • Leona Mezei

    (University of Szeged)

  • Norbert Mihut

    (University of Szeged)

  • Stephanie Mok

    (Allen Institute for Brain Science)

  • Gabor Molnar

    (University of Szeged)

  • Alice Mukora

    (Allen Institute for Brain Science)

  • Lindsay Ng

    (Allen Institute for Brain Science)

  • Kiet Ngo

    (Allen Institute for Brain Science)

  • Philip R. Nicovich

    (Allen Institute for Brain Science)

  • Julie Nyhus

    (Allen Institute for Brain Science)

  • Gaspar Olah

    (University of Szeged)

  • Aaron Oldre

    (Allen Institute for Brain Science)

  • Victoria Omstead

    (Allen Institute for Brain Science)

  • Attila Ozsvar

    (University of Szeged)

  • Daniel Park

    (Allen Institute for Brain Science)

  • Hanchuan Peng

    (Allen Institute for Brain Science)

  • Trangthanh Pham

    (Allen Institute for Brain Science)

  • Christina A. Pom

    (Allen Institute for Brain Science)

  • Lydia Potekhina

    (Allen Institute for Brain Science)

  • Ramkumar Rajanbabu

    (Allen Institute for Brain Science)

  • Shea Ransford

    (Allen Institute for Brain Science)

  • David Reid

    (Allen Institute for Brain Science)

  • Christine Rimorin

    (Allen Institute for Brain Science)

  • Augustin Ruiz

    (Allen Institute for Brain Science)

  • David Sandman

    (Allen Institute for Brain Science)

  • Josef Sulc

    (Allen Institute for Brain Science)

  • Susan M. Sunkin

    (Allen Institute for Brain Science)

  • Aaron Szafer

    (Allen Institute for Brain Science)

  • Viktor Szemenyei

    (University of Szeged)

  • Elliot R. Thomsen

    (Allen Institute for Brain Science)

  • Michael Tieu

    (Allen Institute for Brain Science)

  • Amy Torkelson

    (Allen Institute for Brain Science)

  • Jessica Trinh

    (Allen Institute for Brain Science)

  • Herman Tung

    (Allen Institute for Brain Science)

  • Wayne Wakeman

    (Allen Institute for Brain Science)

  • Femke Waleboer

    (Vrije Universiteit)

  • Katelyn Ward

    (Allen Institute for Brain Science)

  • René Wilbers

    (Vrije Universiteit)

  • Grace Williams

    (Allen Institute for Brain Science)

  • Zizhen Yao

    (Allen Institute for Brain Science)

  • Jae-Geun Yoon

    (Swedish Neuroscience Institute)

  • Costas Anastassiou

    (Allen Institute for Brain Science)

  • Anton Arkhipov

    (Allen Institute for Brain Science)

  • Pal Barzo

    (University of Szeged)

  • Amy Bernard

    (Allen Institute for Brain Science)

  • Charles Cobbs

    (Swedish Neuroscience Institute)

  • Philip C. Witt Hamer

    (Vrije Universiteit)

  • Richard G. Ellenbogen

    (University of Washington)

  • Luke Esposito

    (Allen Institute for Brain Science)

  • Manuel Ferreira

    (University of Washington)

  • Ryder P. Gwinn

    (Swedish Neuroscience Institute)

  • Michael J. Hawrylycz

    (Allen Institute for Brain Science)

  • Patrick R. Hof

    (Icahn School of Medicine at Mount Sinai)

  • Sander Idema

    (Vrije Universiteit)

  • Allan R. Jones

    (Allen Institute for Brain Science)

  • C. Dirk Keene

    (University of Washington)

  • Andrew L. Ko

    (University of Washington)

  • Gabe J. Murphy

    (Allen Institute for Brain Science
    University of Washington)

  • Lydia Ng

    (Allen Institute for Brain Science)

  • Jeffrey G. Ojemann

    (University of Washington)

  • Anoop P. Patel

    (University of Washington)

  • John W. Phillips

    (Allen Institute for Brain Science)

  • Daniel L. Silbergeld

    (University of Washington)

  • Kimberly Smith

    (Allen Institute for Brain Science)

  • Bosiljka Tasic

    (Allen Institute for Brain Science)

  • Rafael Yuste

    (Columbia University)

  • Idan Segev

    (The Hebrew University Jerusalem)

  • Christiaan P. J. Kock

    (Vrije Universiteit)

  • Huibert D. Mansvelder

    (Vrije Universiteit)

  • Gabor Tamas

    (University of Szeged)

  • Hongkui Zeng

    (Allen Institute for Brain Science)

  • Christof Koch

    (Allen Institute for Brain Science)

  • Ed S. Lein

    (Allen Institute for Brain Science
    University of Washington)

Abstract

The neocortex is disproportionately expanded in human compared with mouse1,2, both in its total volume relative to subcortical structures and in the proportion occupied by supragranular layers composed of neurons that selectively make connections within the neocortex and with other telencephalic structures. Single-cell transcriptomic analyses of human and mouse neocortex show an increased diversity of glutamatergic neuron types in supragranular layers in human neocortex and pronounced gradients as a function of cortical depth3. Here, to probe the functional and anatomical correlates of this transcriptomic diversity, we developed a robust platform combining patch clamp recording, biocytin staining and single-cell RNA-sequencing (Patch-seq) to examine neurosurgically resected human tissues. We demonstrate a strong correspondence between morphological, physiological and transcriptomic phenotypes of five human glutamatergic supragranular neuron types. These were enriched in but not restricted to layers, with one type varying continuously in all phenotypes across layers 2 and 3. The deep portion of layer 3 contained highly distinctive cell types, two of which express a neurofilament protein that labels long-range projection neurons in primates that are selectively depleted in Alzheimer’s disease4,5. Together, these results demonstrate the explanatory power of transcriptomic cell-type classification, provide a structural underpinning for increased complexity of cortical function in humans, and implicate discrete transcriptomic neuron types as selectively vulnerable in disease.

Suggested Citation

  • Jim Berg & Staci A. Sorensen & Jonathan T. Ting & Jeremy A. Miller & Thomas Chartrand & Anatoly Buchin & Trygve E. Bakken & Agata Budzillo & Nick Dee & Song-Lin Ding & Nathan W. Gouwens & Rebecca D. H, 2021. "Human neocortical expansion involves glutamatergic neuron diversification," Nature, Nature, vol. 598(7879), pages 151-158, October.
  • Handle: RePEc:nat:nature:v:598:y:2021:i:7879:d:10.1038_s41586-021-03813-8
    DOI: 10.1038/s41586-021-03813-8
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    Citations

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    Cited by:

    1. Yuqiu Zhou & Wei He & Weizhen Hou & Ying Zhu, 2024. "Pianno: a probabilistic framework automating semantic annotation for spatial transcriptomics," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    2. Stan L. W. Driessens & Anna A. Galakhova & Djai B. Heyer & Isabel J. Pieterse & René Wilbers & Eline J. Mertens & Femke Waleboer & Tim S. Heistek & Loet Coenen & Julia R. Meijer & Sander Idema & Phili, 2023. "Genes associated with cognitive ability and HAR show overlapping expression patterns in human cortical neuron types," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    3. Yina Wei & Anirban Nandi & Xiaoxuan Jia & Joshua H. Siegle & Daniel Denman & Soo Yeun Lee & Anatoly Buchin & Werner Geit & Clayton P. Mosher & Shawn Olsen & Costas A. Anastassiou, 2023. "Associations between in vitro, in vivo and in silico cell classes in mouse primary visual cortex," Nature Communications, Nature, vol. 14(1), pages 1-20, December.
    4. Xinhong Chen & Damien A. Wolfe & Dhanesh Sivadasan Bindu & Mengying Zhang & Naz Taskin & David Goertsen & Timothy F. Shay & Erin E. Sullivan & Sheng-Fu Huang & Sripriya Ravindra Kumar & Cynthia M. Aro, 2023. "Functional gene delivery to and across brain vasculature of systemic AAVs with endothelial-specific tropism in rodents and broad tropism in primates," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    5. Jia-Ru Wei & Zhao-Zhe Hao & Chuan Xu & Mengyao Huang & Lei Tang & Nana Xu & Ruifeng Liu & Yuhui Shen & Sarah A. Teichmann & Zhichao Miao & Sheng Liu, 2022. "Identification of visual cortex cell types and species differences using single-cell RNA sequencing," Nature Communications, Nature, vol. 13(1), pages 1-21, December.
    6. Nelson Johansen & Hongru Hu & Gerald Quon, 2023. "Projecting RNA measurements onto single cell atlases to extract cell type-specific expression profiles using scProjection," Nature Communications, Nature, vol. 14(1), pages 1-15, December.

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