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Visualization and molecular characterization of whole-brain vascular networks with capillary resolution

Author

Listed:
  • Takeyuki Miyawaki

    (The University of Tokyo)

  • Shota Morikawa

    (The University of Tokyo)

  • Etsuo A. Susaki

    (The University of Tokyo
    RIKEN Center for Biosystems Dynamics Research)

  • Ai Nakashima

    (The University of Tokyo)

  • Haruki Takeuchi

    (The University of Tokyo
    The University of Tokyo)

  • Shun Yamaguchi

    (Gifu University
    Gifu University)

  • Hiroki R. Ueda

    (The University of Tokyo
    RIKEN Center for Biosystems Dynamics Research
    The University of Tokyo)

  • Yuji Ikegaya

    (The University of Tokyo
    National Institute of Information and Communications Technology)

Abstract

Structural elucidation and molecular scrutiny of cerebral vasculature is crucial for understanding the functions and diseases of the brain. Here, we introduce SeeNet, a method for near-complete three-dimensional visualization of cerebral vascular networks with high signal-to-noise ratios compatible with molecular phenotyping. SeeNet employs perfusion of a multifunctional crosslinker, vascular casting by temperature-controlled polymerization of hybrid hydrogels, and a bile salt-based tissue-clearing technique optimized for observation of vascular connectivity. SeeNet is capable of whole-brain visualization of molecularly characterized cerebral vasculatures at the single-microvessel level. Moreover, SeeNet reveals a hitherto unidentified vascular pathway bridging cerebral and hippocampal vessels, thus serving as a potential tool to evaluate the connectivity of cerebral vasculature.

Suggested Citation

  • Takeyuki Miyawaki & Shota Morikawa & Etsuo A. Susaki & Ai Nakashima & Haruki Takeuchi & Shun Yamaguchi & Hiroki R. Ueda & Yuji Ikegaya, 2020. "Visualization and molecular characterization of whole-brain vascular networks with capillary resolution," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-14786-z
    DOI: 10.1038/s41467-020-14786-z
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    Cited by:

    1. Kei Takahashi & Ko Abe & Shimpei I. Kubota & Noriaki Fukatsu & Yasuyuki Morishita & Yasuhiro Yoshimatsu & Satoshi Hirakawa & Yoshiaki Kubota & Tetsuro Watabe & Shogo Ehata & Hiroki R. Ueda & Teppei Sh, 2022. "An analysis modality for vascular structures combining tissue-clearing technology and topological data analysis," Nature Communications, Nature, vol. 13(1), pages 1-17, December.

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