<p>The mammalian cortex is composed of a highly diverse set of cell types and develops through a series of temporally regulated events<sup><CitationRef AdditionalCitationIDS="CR2" CitationID="CR1">1</CitationRef>–<CitationRef CitationID="CR3">3</CitationRef></sup>. Single-cell transcriptomics enables a systematic study of cell types across the entire timeline of cortical development. Here we present a comprehensive and high-resolution transcriptomic and epigenomic cell-type atlas of the developing mouse visual cortex. The atlas is built from a single-cell RNA sequencing dataset of 568,654 high-quality single-cell transcriptomes and a single-nucleus Multiome dataset of 200,061 high-quality nuclei, which were densely sampled across the embryonic and postnatal developmental stages (from embryonic day 11.5 to postnatal day 56). We computationally reconstructed a transcriptomic developmental trajectory map of all excitatory, inhibitory and non-neuronal cell types in the visual cortex. Branching points that mark the emergence of new cell types at specific developmental ages and molecular signatures of cellular diversification are identified. The trajectory map shows that neurogenesis, gliogenesis and early postmitotic maturation in the embryonic stage give rise to all cell classes and nearly all subclasses in a staggered parallel manner. Increasingly refined cell types emerge throughout the postnatal differentiation process, including the late emergence of many cell types during the eye-opening stage and the onset of critical period, suggesting that there is continuous cell-type diversification at different stages of cortical development. Throughout development, there are cooperative dynamic changes in gene expression and chromatin accessibility in specific cell types. We identify cell-type-specific and temporally resolved gene regulatory networks that link transcription factors and downstream target&#xa0;genes through accessible chromatin motifs. Collectively, our study provides a detailed dynamic molecular map directly associated with individual cell types and specific temporal events that can reveal the molecular logic underlying the complex and multifaceted cortical cell type and circuit development.</p>

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Continuous cell-type diversification in mouse visual cortex development

  • Yuan Gao,
  • Cindy T. J. van Velthoven,
  • Changkyu Lee,
  • Emma D. Thomas,
  • Rémi Mathieu,
  • Angela P. Ayala,
  • Stuard Barta,
  • Darren Bertagnolli,
  • Jazmin Campos,
  • Trangthanh Cardenas,
  • Daniel Carey,
  • Tamara Casper,
  • Anish Bhaswanth Chakka,
  • Rushil Chakrabarty,
  • Megan Chiang,
  • Lindsey Ching,
  • Michael Clark,
  • Marie J. Desierto,
  • Rebecca Ferrer,
  • Jessica Gloe,
  • Jeff Goldy,
  • Nathan Guilford,
  • Junitta Guzman,
  • Carliana R. Halterman,
  • Samantha D. Hastings,
  • Daniel Hirschstein,
  • Windy Ho,
  • Katelyn James,
  • Zoe Juneau,
  • Naomi Martin,
  • Rachel McCue,
  • Emma Meyerdierks,
  • Amanda C. Mitchell,
  • Josh S. Nagra,
  • Beagan Nguy,
  • Thuc Nghi Nguyen,
  • Paul Olsen,
  • Alana A. Oyama,
  • Nick Pena,
  • Jacob Quon,
  • Qingzhong Ren,
  • Augustin Ruiz,
  • Nadiya V. Shapovalova,
  • Josef Sulc,
  • Amy Torkelson,
  • Alex Tran,
  • Herman Tung,
  • Nasmil Valera Cuevas,
  • Justin Wang,
  • Jeanelle Ariza,
  • Delissa A. M. McMillen,
  • Jack Waters,
  • Michael Kunst,
  • Kara Ronellenfitch,
  • Boaz Levi,
  • Michael J. Hawrylycz,
  • Chelsea Pagan,
  • Nick Dee,
  • Kimberly A. Smith,
  • Bosiljka Tasic,
  • Zizhen Yao,
  • Hongkui Zeng

摘要

The mammalian cortex is composed of a highly diverse set of cell types and develops through a series of temporally regulated events13. Single-cell transcriptomics enables a systematic study of cell types across the entire timeline of cortical development. Here we present a comprehensive and high-resolution transcriptomic and epigenomic cell-type atlas of the developing mouse visual cortex. The atlas is built from a single-cell RNA sequencing dataset of 568,654 high-quality single-cell transcriptomes and a single-nucleus Multiome dataset of 200,061 high-quality nuclei, which were densely sampled across the embryonic and postnatal developmental stages (from embryonic day 11.5 to postnatal day 56). We computationally reconstructed a transcriptomic developmental trajectory map of all excitatory, inhibitory and non-neuronal cell types in the visual cortex. Branching points that mark the emergence of new cell types at specific developmental ages and molecular signatures of cellular diversification are identified. The trajectory map shows that neurogenesis, gliogenesis and early postmitotic maturation in the embryonic stage give rise to all cell classes and nearly all subclasses in a staggered parallel manner. Increasingly refined cell types emerge throughout the postnatal differentiation process, including the late emergence of many cell types during the eye-opening stage and the onset of critical period, suggesting that there is continuous cell-type diversification at different stages of cortical development. Throughout development, there are cooperative dynamic changes in gene expression and chromatin accessibility in specific cell types. We identify cell-type-specific and temporally resolved gene regulatory networks that link transcription factors and downstream target genes through accessible chromatin motifs. Collectively, our study provides a detailed dynamic molecular map directly associated with individual cell types and specific temporal events that can reveal the molecular logic underlying the complex and multifaceted cortical cell type and circuit development.